Skip to main content

Advertisement

We're creating a new version of this page. See preview

  • Research article
  • Open Access

Food-associated cues alter forebrain functional connectivity as assessed with immediate early gene and proenkephalin expression

  • 1, 2Email author,
  • 2,
  • 1, 2 and
  • 1, 2
BMC Biology20075:16

https://doi.org/10.1186/1741-7007-5-16

©  Schiltz et al; licensee BioMed Central Ltd. 2007

  • Received: 12 September 2006
  • Accepted: 26 April 2007
  • Published:

Abstract

Background

Cues predictive of food availability are powerful modulators of appetite as well as food-seeking and ingestive behaviors. The neurobiological underpinnings of these conditioned responses are not well understood. Monitoring regional immediate early gene expression is a method used to assess alterations in neuronal metabolism resulting from upstream intracellular and extracellular signaling. Furthermore, assessing the expression of multiple immediate early genes offers a window onto the possible sequelae of exposure to food cues, since the function of each gene differs. We used immediate early gene and proenkephalin expression as a means of assessing food cue-elicited regional activation and alterations in functional connectivity within the forebrain.

Results

Contextual cues associated with palatable food elicited conditioned motor activation and corticosterone release in rats. This motivational state was associated with increased transcription of the activity-regulated genes homer1a, arc, zif268, ngfi-b and c-fos in corticolimbic, thalamic and hypothalamic areas and of proenkephalin within striatal regions. Furthermore, the functional connectivity elicited by food cues, as assessed by an inter-regional multigene-expression correlation method, differed substantially from that elicited by neutral cues. Specifically, food cues increased cortical engagement of the striatum, and within the nucleus accumbens, shifted correlations away from the shell towards the core. Exposure to the food-associated context also induced correlated gene expression between corticostriatal networks and the basolateral amygdala, an area critical for learning and responding to the incentive value of sensory stimuli. This increased corticostriatal-amygdalar functional connectivity was absent in the control group exposed to innocuous cues.

Conclusion

The results implicate correlated activity between the cortex and the striatum, especially the nucleus accumbens core and the basolateral amygdala, in the generation of a conditioned motivated state that may promote excessive food intake. The upregulation of a number of genes in unique patterns within corticostriatal, thalamic, and hypothalamic networks suggests that food cues are capable of powerfully altering neuronal processing in areas mediating the integration of emotion, cognition, arousal, and the regulation of energy balance. As many of these genes play a role in plasticity, their upregulation within these circuits may also indicate the neuroanatomic and transcriptional correlates of extinction learning.

Keywords

  • Functional Connectivity
  • Nucleus Accumbens
  • Plasma Corticosterone
  • Dorsal Hippocampus
  • Basolateral Amygdala

Background

Daily consumption of a mere 50–100 extra kilocalories without compensatory expenditure has been proposed to be a main cause of the increasing incidence of overweight and obesity [1, 2]. As this trend has been occurring over the past 25 years, environmental factors such as increased food availability and the power of sensory food-associated sensory cues in the modern environment (e.g. advertising) may ultimately be responsible for the initiation and maintenance of increased energy intake [3].

It has been known for some time that food-related cues are capable of increasing food consumption beyond homeostatic needs and that this effect is enhanced when subjects are hungry [4–9]. Functional imaging studies indicate that regional cortical, limbic, striatal, thalamic or hypothalamic activation in response to presentation of food images is greater in food-restricted than in satiated subjects [10–12]. Subjects will also increase their intake of a preferred food, but not other foods, when they are presented with sensory cues specific to that food [7, 13]. Furthermore, presentation of cues associated with preferred versus non-preferred foods increases activity in cortical areas and the amygdala [10, 14, 15], and images of high-calorie versus low-calorie foods activate regions of the cortex and the thalamus [16, 17]. Overall, these studies demonstrate that food preference, caloric density, and short-term energy balance can influence regional neuronal activity and food intake resulting from exposure to food-related stimuli. Interestingly, stress can also increase self-reported liking and overall intake of food, yet the neuroanatomical substrates of these phenomena remain largely uninvestigated [18–21].

While it is clear that increased food intake results from exposure to food-related stimuli and stressors, little is known about the functional circuits mediating this behavior. To further characterize the ability of food-associated cues to activate central circuits, we employed a classical conditioning paradigm in which rats were exposed to an environment that had previously been repeatedly paired with access to chocolate Ensure (a palatable, energy-dense liquid; Abbott Laboratories, OH, USA) or to control cues (Figure 1A). In situ hybridization (ISH) for the immediate early genes (IEGs) homer1a, arc, zif268, ngfi-b, and c-fos were used to map alterations in neuronal activity in cortical, striatal, thalamic, and hypothalamic regions (Figure 1B). The early response genes fall into different subclasses serving differing functions, therefore parallel or divergent changes in their expression offer insight into specific cellular and molecular processes occurring within individual brain regions. For example, the Arc and Homer1a proteins are involved in trafficking α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) and metabotropic glutamate receptors, respectively [22–29]. Zif268, NGFI-B, and c-Fos are transcription factors with differing promoter specificities. Measuring the expression of multiple IEGs also allowed us to perform a statistically powerful interregional gene expression correlation analysis to identify functional circuits recruited by food-associated cues compared with control-associated cues.
Figure 1
Figure 1

Schematic diagrams of the experimental paradigm and the brain regions analyzed for gene expression. (A) The experimental paradigm consisted of a 15-day training period in which all rats received access to chocolate Ensure and water in one of two distinct environments (contexts A and B). Locomotor activity was measured in context A over the training phase of the study. On the test day, 3 days after the final day of training, rats were reintroduced to context A after an acute 12-hour food deprivation period. Locomotor activity was measured in context A for 45 minutes, after which time rats were killed, and trunk blood and brains were taken for plasma corticosterone assay and in situ hybridization analysis of forebrain gene expression. (B) The brain regions analyzed for activity-dependent gene expression via in situ hybridization included the ventral orbital prefrontal cortex (VO), lateral orbital prefrontal cortex (LO), prelimbic cortex (PreL), infralimbic cortex (InfrL), anterior and posterior cingulate cortex (A and P Cing), primary sensory cortex (S1), agranular insular cortex (AgrIns), piriform cortex (Pir), sensorimotor cortex, nucleus accumbens shell (NAcc shell), nucleus accumbens core (NAcc core), anterior ventrolateral striatum (AVLS), anterior medial striatum (AMS), anterior dorsolateral striatum (ADLS), sensorimotor cortex (SM), posterior ventrolateral striatum (PVLS), posterior medial striatum (PMS), posterior dorsolateral striatum (PDLS), CA1 and CA3 subfields of the dorsal hippocampus, basolateral amygdala (BLA), central nucleus of the amygdala (CeA), periventricular thalamus (PVN), centromedian thalamus (CM), rhomboid and reunions thalamus (Rh/Re), mediodorsal thalamus (MD), ventralposteromedial and ventralposterolateral thalamus (VPM/VPL), lateral hypothalamus (LH), dorsomedial hypothalamus (DMH), ventromedial hypothalamus (VMH), and arcuate hypothalamus. Numbers represent distance from bregma in mm (adapted with permission from [131]).

Our findings demonstrate that cues associated with palatable food elicited a state of motivational arousal associated with robust IEG expression within the prosencephalon, including basal diencephalic areas responsible for the detection of peripheral energy homeostasis signals and integration of these signals into autonomic and behavioral outputs. The differing patterns of correlated gene expression elicited by food-associated versus control-associated cues suggests that the generation of this state involved major shifts in functional connectivity between cortical, amygdalar, and striatal regions. In addition, we found that striatal expression of proenkephalin, an endogenous opioid that plays a role in food consumption and cue-elicited reward-seeking behavior, was enhanced by food-associated cues [30–39].

Results

In a counterbalanced design, rats fed ad libitum on standard chow received access to Ensure, a palatable, high-calorie liquid, or water in one of two environments with distinct sensory cues (contexts A or B) for 15 days (Figure 1A). Three days after the end of training, rats were acutely food-deprived for an average of 12.75 hours and then placed in context A, but received neither water nor Ensure in order to assess conditioned behavioral, endocrine, and regional cerebral transcriptional responses to food-associated cues (Figure 1B). The daily intake of Ensure and water in contexts A and B is shown in Figure 2A. Rats in both the Ensure cues and water cues groups drank significantly more Ensure than water in their respective contexts over the training period (F1,20 = 2555.346, p < 0.0001). Rats consumed very little water, as they were not water deprived. There was no observed significant effect of context on either Ensure or water intake between the groups (F1,20 = 0.0005, p = 0.9825) and there was no observed significant interaction between Ensure or water intake and context (F1,20 = 0.113, p = 0.743). The Ensure and water cues groups initially consumed increasing daily amounts of Ensure, as illustrated by a significant effect of training day on intake (F14,280 = 14.825, p < 0.0001) and an interaction between training day and intake (F14,280 = 15.334, p < 0.0001; Figure 2A). Rats in both groups gained weight over the course of the experiment without significant difference between the groups (F1,10 = 3.015, p = 0.1132).
Figure 2
Figure 2

Behavioral and endocrine data. (A) Intake of Ensure and water by the water cues and Ensure cues groups in their respective contexts. Ensure intake was significantly greater than water intake and was not different between the groups (**p < 0.01). Ensure intake increased and reached a plateau over the 15 day training period (††p < 0.01). (B) Locomotor activity in response to access to water or Ensure in context A during daily training sessions. The levels of total horizontal activity between the groups did not differ significantly, and decreased during the training period, demonstrating that both groups habituated to context A despite different treatments in this environment. (C) While there was no difference in the patterned relationship of total horizontal activity with time between the groups, total horizontal activity was significantly higher on the test day in the Ensure cues group than in the water cues group during intervals 3, 4, and 5 (*p < 0.05). (D) Levels of plasma corticosterone in Ensure cues group were higher than in the water cues group (*p < 0.05).

During the 15-day training period, access to Ensure had no significant stimulatory effect on total horizontal activity in context A compared with locomotor activity in the group receiving water access in this context (Figure 2B). There was a significant effect of day on total horizontal activity (F14,140 = 34.117, p < 0.0001), indicating a gradual habituation to the environment but there was no treatment × day interaction, as activity in both groups declined similarly over days.

On the test day, rats in the Ensure cues group exhibited higher levels of total horizontal activity compared with rats in the water cues group (F1,10 = 9.010, p = 0.0133; Figure 2C). There was a significant decrease in locomotor activity over the intervals (F1,4 = 47.652, p < 0.0001) but no interaction between treatment and interval (F4,40 = 0.536, p = 0.7102). Total horizontal activity was significantly different between the groups during intervals 3 (F1,10 = 23.174, p = 0.0007), 4 (F1,10 = 11.077, p = 0.0076) and 5 (F1,10 = 5.323, p = 0.0437) but not during intervals 1 (F1,10 = 0.707, p = 0.4202) or 2 (F1,10 = 2.640, p = 0.1353). There was also a conditioned increase in plasma corticosterone in the Ensure cues group on the test day (F1,9 = 7.953, p = 0.0200; Figure 2D).

Food cues induced immediate early gene expression in the telencephalon

Ensure cues elicited homer1a expression in a variety of forebrain regions (Figure 3). The overall between-subjects and within-subjects analysis of the homer1a data revealed a significant effect of context (F1,10 13.218, p = 0.0046) and a significant context × region interaction (F19,190 3.670, p < 0.0001). Further analysis revealed significant increases in homer1a in all of the cortical regions analyzed except for the cingulate cortex (see Additional file 1 for a table of the results of one-way ANOVA analyses for all genes). An increase in homer1a expression was also found in limbic regions including the dorsal hippocampus and the basolateral amygdala, but not in the central nucleus of the amygdala. Significant increases in homer1a expression were observed in striatal regions including the nucleus accumbens core and shell and the ventral and medial regions of the striatum.
Figure 3
Figure 3

Telencephalic expression of homer1a induced by exposure to water or Ensure cues. (A) Pseudocolor autoradiographic phosphorescence images of coronal brain sections hybridized with a probe for homer1a from a rat in the water cues group (top) and the Ensure cues group (bottom). (B) Graphical representation of semiquantitative measurements of in situ hybridization for homer1a in telencephalic regions. Ensure cues increased the expression of homer1a in a many of the corticolimbic regions examined (*p < 0.05). For abbreviations, see legend to Figure 1.

The expression pattern of arc was similar to that of homer1a. Ensure cues increased arc levels in a variety of forebrain regions (see Additional file 2). The overall between-subjects and within-subjects analysis of the arc data revealed a significant context effect (F1,10 29.538, p = 0.0003) and a significant context × region interaction (F19,190 11.237, p < 0.0001). There were significant increases in arc in all of the cortical regions analyzed. Ensure cues increased arc expression in limbic regions including the dorsal hippocampus and the basolateral amygdala, but not in the central nucleus of the amygdala. In addition, Arc was also induced regionally in the striatum.

The mRNA levels of zif268 were increased in the forebrains of rats in the Ensure cues group (Figure 4). The overall between-subjects and within-subjects analysis of the zif268 data revealed a significant effect of context (F1,10 17.877, p = 0.0017) and a significant context × region interaction (F28,280 5.252, p < 0.0001). Further analysis revealed significant increases in zif268 in the Ensure cues group in all of the cortical regions analyzed except the cingulate cortex. Ensure cues also increased zif268 expression in limbic regions including the dorsal hippocampus, the basolateral amygdala, and the central nucleus of the amygdala. Significant increases in zif268 expression were observed in regions of the striatum including the shell and core of the nucleus accumbens.
Figure 4
Figure 4

Telencephalic expression of zif268 induced by exposure to water or Ensure cues. (A) Pseudocolor autoradiographic phosphorescence images of coronal brain sections hybridized with a probe for zif268 from a rat in the water cues group (top) and the Ensure cues group (bottom). (B) Graphical representation of semiquantitative measurements of in situ hybridization for zif268 in telencephalic regions. Ensure cues increased the expression of zif268 in a many of the corticolimbic regions examined (*p < 0.05). For abbreviations, see legend to Figure 1.

Ensure cues increased ngfi-b mRNA levels in telencephalic regions (see Additional file 3). The overall between-subjects and within-subjects analysis of the ngfi-b data revealed a significant effect of context (F1,10 31.485, p = 0.0002) and a significant context × region interaction (F28,280 12.060, p < 0.0001). Further analysis revealed significant increases in ngfi-b in several prefrontal and primary sensory cortical areas. Ensure cues also increased ngfi-b expression in limbic regions including the dorsal hippocampus and the basolateral amygdala but not in the central nucleus of the amygdala. Striatal regions also exhibited ngfi-b induction in response to Ensure cues.

Food cues increased c-fos in telencephalic areas (see Additional file 4). Measurement of c-fos expression in frontal cortical regions was limited to the cingultate cortex, because more anterior sections were lost during processing. The overall between-subjects and within-subjects analysis of the c-fos data revealed a significant context effect (F1,10 51.787, p < 0.0001) and a significant context × region interaction (F24,240 11.848, p < 0.0001). Regional analysis revealed significant increases in c-fos in the cingulate cortex and primary sensory cortical areas. Similarly, c-fos expression was increased in the limbic regions including the dorsal hippocampus, the basolateral amygdala, and the central nucleus of the amygdala. The striatum exhibited region-specific increased c-fos levels in response to Ensure cues.

Food cues induced immediate early gene expression in the diencephalon

Only zif268, ngfi-b, and c-fos were detected at appreciable levels within the analyzed diencephalic regions. Expression of zif268 was increased in all of the analyzed thalamic and hypothalamic regions in response to Ensure cues (Figure 5A,B), while ngfi-b was increased by Ensure cues in some thalamic regions but not in any of the hypothalamic regions analyzed (Figure 5C,D). Ensure cues increased c-fos in all of the analyzed thalamic and hypothalamic regions (Figure 5E,F).
Figure 5
Figure 5

Diencephalic expression of the transcription factor immediate early genes induced by exposure to water or Ensure cues. (A) Pseudocolor autoradiographic phosphorescence image of a coronal brain sections at the level of the diencephalons, hybridized with a probe for zif268 from a rat in the water cues group (top) and the Ensure cues group (bottom). (B) Graphical representation of semiquantitative measurements of in situ hybridization for zif268 in diencephalic regions. Ensure cues increased the expression of zif268 in thalamic and hypothalamic regions (*p < 0.05). (C) Pseudocolor autoradiographic phosphorescence images of coronal brain sections at the level of the diencephalon hybridized with a probe for ngfi-b from a rat in the water cues group (top) and the Ensure cues group (bottom). (D) Graphical representation of semiquantitative measurements of in situ hybridization for ngfi-b in diencephalic regions. Ensure cues increased the expression of ngfi-b in thalamic but not hypothalamic regions (*p < 0.05). (E) Pseudocolor autoradiographic phosphorescence image of a coronal brain sections at the level of the diencephalon hybridized with a probe for c-fos from a rat in the water cues group (top) and the Ensure cues group (bottom). (F) Graphical representation of semiquantitative measurements of in situ hybridization for c-fos in diencephalic regions. Ensure cues increased the expression of c-fos in thalamic and hypothalamic regions (*p < 0.05). For abbreviations, see legend to Figure 1.

Food cues elicited fewer regional gene expression correlations with locomotion and more correlations with plasma corticosterone

In order to assess whether regional gene-expression measurements have a context-dependent, patterned relationship with locomotor activity, plasma corticosterone, or gene expression within other regions, we performed a series of correlation analyses. The results indicated that food-associated cues changed the relationship of regional activity with conditioned locomotor activity and plasma corticosterone levels and dramatically altered the pattern of functional connectivity.

Test day locomotor activity was less often correlated with regional early-response gene expression in the Ensure cues group compared with the water cues group (Figure 6A). Total horizontal activity was not significantly correlated with gene expression in any of the analyzed regions in the Ensure cues group. In contrast, within the water cues group, there were several markedly positive correlations between total horizontal activity and gene expression in the cingulate, piriform, and agranular insular cortices and the dorsal hippocampus and centromedial region of the thalamus. There was also a significant negative correlation between total horizontal activity and gene expression in the lateral hypothalamus within this group.
Figure 6
Figure 6

Graphical representation of the results of correlation analyses in the Ensure and water cues groups. Collapsed values for the expression of each of the immediate early genes that were normalized to regional control averages were used to calculate correlations within each group so long as there was a significant mean difference between the groups for each individual gene. Correlations that were significant are color-coded by the range in which their Pearson product moment value (r) lies (see key). Correlations that were not significant are indicated by light gray shading. (A) Correlations between regional immediate early gene expression and total horizontal activity in the water cues group (left column) and the Ensure cues group (right column). (B) Correlations between regional immediate early gene expression and plasma corticosterone in the water cues group (left column) and the Ensure cues group (right column). (C) Interregional gene expression correlations in the water cues group (lower left half) and the Ensure cues group (upper right half). NA designates a region for which correlations were not performed due to a lack of significant differences between the groups in all of the genes analyzed. The lack of interregional gene-expression correlations within the diencephalon most likely represents a decrease in the statistical power of the correlation analyses, as only a subset of the genes exhibited significant differences in expression within these regions. For abbreviations, see legend to Figure 1.

In direct contrast, test day plasma corticosterone levels were more often correlated, albeit inversely, with regional gene expression in the Ensure cues group than in the water cues group (Figure 6B). Early response gene levels in the infralimbic, cingulate, piriform, agranular insular, primary sensory, and sensorimotor cortices, the basolateral amygdala, nucleus accumbens shell and core, anterior and posterior ventrolateral striatum, and the posterior medial striatum all exhibited significant negative correlations with plasma corticosterone in response to Ensure cues. The only region to exhibit a positive correlation between gene expression and plasma corticosterone levels in the Ensure cues group was the lateral hypothalamus.

Food cues altered interregional gene expression correlations

The pattern of interregional gene expression correlations was markedly different between the Ensure and water cues groups (Figure 6C). The total number of correlations increased, while the number of intracortical and intrastriatal correlations decreased in the Ensure cues group compared with the control cues group. Primary sensory cortical engagement of the striatum almost completely accounted for the increased number of corticostriatal correlations induced by Ensure cues. There was also a shift in the distribution of cortical correlations between the two nucleus accumbens regions. Cortical regions correlated primarily with the nucleus accumbens core in the Ensure cues group and mainly with the nucleus accumbens shell in the water cues group.

Another striking difference between the groups was the pattern of inter-regional gene-expression correlations with the basolateral amygdala (Figure 6C). In the Ensure cues group, gene expression in the basolateral amygdala was correlated with all of the analyzed cortical and striatal areas (except for the nucleus accumbens shell) and was not correlated with the dorsal hippocampus. In contrast, only the dorsal hippocampus and the periventricular region of thalamus exhibited correlations with the basolateral amygdala in the water cues group.

Food cues increased striatal hnPENK expression

Appreciable expression of hnPENK was limited to the striatum (Figure 7). The overall between-subjects and within-subjects analysis of the hnPENK data revealed a significant context effect (F1,1020.861, p = 0.0010), and a significant context × region interaction (F7,70 4.673, p = 0.0002). Significant increases in hnPENK expression were restricted to the nucleus accumbens core, anterior and posterior ventrolateral and medial aspects of the striatum. Total horizontal activity, irrespective of group, correlated positively with hnPENK expression in the nucleus accumbens core (R = 0.677; n = 12; Z = 2.471; p = 0.0135) but there were no such correlations in either group analyzed individually.
Figure 7
Figure 7

Striatal expression of hnPENK. (A) Pseudocolor autoradiographic phosphorescence image of a coronal brain sections at the level of the anterior (left) and posterior (right) striatum hybridized with a probe for hnPENK from a rat in the water cues group (top) and the Ensure cues group (bottom). (B) Graphical representation of semiquantitative measurements of in situ hybridization for hnPENK in striatal regions. Ensure cues increased the expression of hnPENK in the nucleus accumbens core and ventrolateral and medial regions, but not in the nucleus accumbens shell and dorsolateral regions (*p < 0.05). (C) Graphical representation of the results of extrastriatal immediate early gene expression and striatal hnPENK expression correlation analyses in both the water cues and the Ensure cues groups. Correlations that were significant are color-coded by the range in which their Pearson product moment (r) value lies (see key). Correlations that are not significant are shaded light gray. For abbreviations, see legend to Figure 1.

As cortical or thalamic deafferentation decreases striatal PENK mRNA expression [40, 41], we identified potential afferents regulating striatal hnPENK in this study by performing correlations between extrastriatal, regional IEG expression and striatal, regional hnPENK expression (Figure 7C). Overall, there were 25 positive correlations between extrastriatal immediate early gene expression and striatal hnPENK expression in the Ensure cues group versus 2 correlations in the water cues group. These correlations were distributed in a manner consistent with anatomic patterns of cortical and thalamic innervation of the striatum.

Discussion

We found that contextual cues associated with access to palatable food are capable of eliciting conditioned increases in locomotion and plasma corticosterone. This state is associated with increased IEG expression in cortical, limbic, striatal, thalamic, and hypothalamic areas. In addition, the conditioned stimuli increased striatal transcription of the PENK gene, which encodes endogenous opioid neuropeptides. Furthermore, this is the first study correlating the regional expression of multiple, activity-regulated genes as a means of probing functional connectivity in relation to motivation. The differing correlated patterns of gene expression suggest that food cues are capable of powerfully changing functional connectivity within circuits mediating emotion, cognition, arousal, and energy balance, which are used to guide goal-directed behavior.

The IEGs analyzed here are from two classes. Homer1a and Arc, which have direct effects on neurophysiology, are classified as effectors. Homer1a trafficks and regulates type I metabotropic glutamate receptors [22–25]. Arc trafficks AMPA receptors in an activity-dependent manner [26–29]. The transcription factors Zif268 and c-Fos exert their effects on neurophysiology via regulation of the transcription of downstream genes and, as with Homer1a and Arc, have been shown to be necessary for neuronal plasticity and, in some cases, the consolidation of long-term memory [42–45]. NGFI-B has both direct, proapoptotic effects and transcriptional, mitogenic effects, although its role in neuronal plasticity has not yet been directly assessed [46, 47]. As these proteins are regulated by activity and play important roles in synaptic plasticity, their induction illustrates the possible neuroanatomical substrates of conditioned response and the potential for new learning mediated by these circuits (e.g. extinction).

Palatable food cues elicit locomotor arousal and corticosterone release

Exposure to food-associated cues elicited locomotor hyperactivity, an increase in plasma corticosterone, and enhanced forebrain gene expression. Conditioned locomotor arousal to contexts associated with many drugs of misuse has been documented and is often accompanied by prior sensitization of, or increases in locomotor activity during training [48]. We observed conditioned locomotor arousal in response to contextual cues associated with food in the absence of locomotor sensitization (Figure 2B,C). It is important to determine whether the changes in gene expression that we observe reflect the locomotor component of this conditioned response. Locomotor activity was less often correlated with regional gene expression in the Ensure cues group compared with the water cues group. This lack of correlation cannot be a result of gene expression reaching an upper limit as we have documented higher levels of regional immediate early gene expression in rats with comparable levels of locomotor activity [49]. We have also demonstrated that conditioned locomotor arousal is not sufficient to elicit the pattern of gene expression observed here and that increased gene expression, for example in the prefrontal cortex, is not necessary for locomotor arousal [49–51]. These considerations indicate that the observed patterns of gene expression are not simply caused by increased locomotion.

Exposure to Ensure cues also elicited an increase in plasma corticosterone, possibly due to surprise or frustration elicited in the animals by the expectation of food in a hungry state. The increases in plasma corticosterone reported here are higher than in our previous studies, but are in line with the food-deprivation enhancement of corticosterone release documented in the literature [52]. Although not addressed here, a time course of plasma corticosterone levels following cue exposure would give important information concerning the directionality of the corticosterone response and the activity of the hypothalamo-pituitary-adrenal (HPA) axis in these experiments. The increased number of negative correlations between plasma corticosterone and regional IEG expression in the Ensure cues group suggests that the gene-transcription response may be dampened by circulating corticosterone or another stress-related neuromodulator. Alternatively, forebrain activity on the test day may be involved in suppressing the conditioned activation of the HPA axis. The decreased number of regional gene-expression correlations with locomotion and the increased number of these correlations with plasma corticosterone suggests that neuronal activity in the Ensure cues group is increasingly involved in psychological processes such as controlling stress or anxiety rather than simply a result of increased locomotor activity per se. Interestingly, conditioned increases in plasma corticosterone associated with locomotor hyperactivity have also been observed in rats exposed to a cocaine-associated [53] but not a nicotine-associated context [54].

Food cues alter functional connectivity as assessed by interregional gene expression correlations

Exposure to food-associated contextual cues has been shown to increase locomotor activity and to potentiate food intake by rats, and both of these effects are dependent on an intact prefrontal cortex [55–57]. When rats are allowed to eat beyond satiety in the presence of a discrete cue that had been previously paired with food delivery when hungry, lateral hypothalamus projection neurons in the basolateral amygdala and prefrontal cortex exhibit increased homer1a and arc expression [58]. Furthermore, basolateral amygdala and prelimbic cortical inputs to the lateral hypothalamus, but not those from the central amygdala or nucleus accumbens, have been demonstrated to be necessary for cue-induced overeating in satiated rats [58–63]. Our gene expression results are consistent with these findings despite some methodological differences. A similar pattern of c-Fos induction to that which we observed was also evident in a recent study assessing regional gene expression in response to shifts in the incentive value of sucrose [64]. These findings suggest that the gene expression changes observed in the present study may play a role in altering the valuation of reward-paired cues used to guide behavior.

The contrasting patterns of gene expression correlations between the experimental groups suggests that exposure to a food-predictive versus a neutral context selectively recruits and activates specific corticolimbic circuits, resulting in the generation versus suppression of a motivational state. This notion is schematically illustrated in Figure 8. Food-associated cues elicited an increased number of interregional gene expression correlations between the cortex and the basolateral amygdala and the striatum. Of special interest are the correlations between orbitofrontal cortical regions and the basolateral amygdala as these regions cooperate to encode the representations of outcome expectancies based on experience that are used to guide adaptive behavior [65–68]. The coordinated expression of plasticity-related genes in these areas suggests that unreinforced presentation of the conditioned stimuli may prompt an adaptive reevaluation of cued, expected outcomes. Furthermore, the basolateral amygdala may be involved in updating not only affective information but wide-ranging types of encoded feature representations concerning the environment since sensory as well as frontal cortical areas exhibited correlations with this area (but see [69]).
Figure 8
Figure 8

Circuit diagrams of the regions exhibiting interregional gene-expression correlations elicited by food cues (right) or water cues (left). Grey arrows represent relatively fewer numbers of interregional gene-expression correlations and black arrows represent relatively greater numbers of these correlations. Intracortical and intrastriatal interregional gene-expression correlations predominated in the water cues group. In this group, there were relatively few corticostriatal correlations, and cortical engagement of the shell of the nucleus accumbens was greater than that of the core subregion. The water cues group also exhibited correlated gene expression between the hippocampus and the basolateral amygdala. In contrast, the number of intracortical and intrastriatal correlations was relatively smaller and the number of corticostriatal correlations was relatively higher in the food cues group. There was also a shift of cortical correlations to the core of the nucleus accumbens in rats exposed to food cues. Another striking difference between the groups included the loss of the correlated gene expression between the hippocampus and the basolateral amygdala. The basolateral amygdala in the food cues group exhibited a great degree of correlated immediate early gene expression with the cortex and the striatum. These observations suggest that shifts in correlated activity between the cortex and striatum, particularly the nucleus accumbens core, and the basolateral amygdala are involved in the generation of a motivated state by salient external cues. For abbreviations, see legend to Figure 1.

In contrast, gene expression in the basolateral amygdala in the water cues group exhibited no correlations with the cortex but instead exhibited this type of relationship with the dorsal hippocampus (Figure 6C). The hippocampus normally inhibits contextually conditioned locomotor arousal in response to food-paired cues [70]. In addition, varied lines of research have suggested that correlated activity between the hippocampus and basolateral amygdala is involved in learning to suppress conditioned responses and to ignore unimportant events or stimuli [71–75]. As low threshold stimulation of the hippocampus elicits inhibition and higher threshold stimulation elicits excitation of basolateral amygdala projection neurons [76–78], our observations suggest that, in the water-paired context, low levels of hippocampal activity inhibit cortical engagement of the basolateral amygdala while, in the Ensure-paired context, higher levels of hippocampal activity overcomes this feed-forward inhibition, allowing cortical excitation of amygdala output neurons. This type of competition between the cortex and the hippocampus for engagement of the basolateral amygdala has also been proposed to account for the the ability of the cortex to support contextual fear conditioning after pre-training, but not post-training hippocampal lesions [79]. In addition, hippocampus and basolateral amygdala interactions have been implicated in appetitively-driven contextual conditioning [80].

Within the ventral striatum, correlations between the cortex and nucleus accumbens core predominated in the Ensure cues group, as opposed to the nucleus accumbens shell in the water cues group. The nucleus accumbens core, but not the shell, is essential to cue-elicited, goal-directed behaviors including cued reinstatement of cocaine-seeking [81–84]. In contrast, inactivation of the nucleus accumbens shell, but not the core, during acquisition of a rule-based strategy facilitates later set-shifting to another rule-based strategy [81] and also decreases the ability of pre-exposure to inhibit future conditioning to a stimulus known as latent inhibition [85–87]. As the water cues did not have motivational value, the correlations between the cortex and the nucleus accumbens shell in the water cues group may reflect a conditioned inhibitory process or activity within a circuit that mediates the expression of learned irrelevance. These findings suggest that cortical engagement of the striatum and a shift from cortical engagement of the nucleus accumbens shell to the core is associated with conditioned motor arousal indicative of a cue-elicited motivational state.

Although zif268, ngfi-b and c-fos were increased in the diencephalon in the Ensure cues group, there was a paucity of thalamic and hypothalamic interregional gene-expression correlations (Figure 6C). The lack of correlations may simply reflect a decrease in the statistical power of the analyses, as there were fewer usable observations within these structures. With regard to the thalamic gene expression in response to food cues, it appears that the midline and intralaminar nuclei in particular were strongly activated, although critical sensory areas of the thalamus were also involved. As these latter regions transmit primarily taste, visceral, and somatosensory information to the neocortex, one can speculate that this network may be involved in conveying sensory information to the cortical regions that were also strongly activated. In particular, the barrel fields are clearly activated by food cues, suggesting recruitment of sensory, and attentional and executive thalamocortical networks.

Gene expression patterns in the food cues group also indicated an activation of hypothalamic networks including the arcuate, dorsomedial, ventromedial, and lateral hypothalamic regions. This last observation is supported by electrophysiological recordings in non-human primates, showing clear activation of lateral hypothalamic neurons during presentation of food cues only when the animals were hungry [88, 89]. In a related study, orexin/hypocretin-positive neurons of the lateral hypothalamus were clearly activated during the expression of food-conditioned or drug-conditioned place preference [90]. Additionally, to our knowledge, this is the first report of cue-elicited activation of the arcuate nucleus of the hypothalamus, where direct energy-balance signals from the periphery (e.g. leptin and ghrelin) are integrated with motor and autonomic effector systems [3, 91]. The direct projections from forebrain regions such as the amygdala and cortex to the arcuate nucleus may underlie the cue-elicited activation of this region [92].

Food cues elicit striatal hnPENK expression

The present study revealed a marked increase in PENK expression in striatal subregions. The striatum receives cortical and thalamic glutamatergic inputs and its gamma-aminobutyric acid (GABA)ergic outputs target motor action systems and premotor brainstem areas, positioning it to organize goal-directed behavior. It is composed primarily of two distinct neuronal populations distinguished by their expressed dopamine receptor subtype and neuropeptide complement and their anatomic projections. One subpopulation expresses the D1 dopamine receptor, dynorphin, and substance P, and projects to the internal segment of the globus pallidus (the "direct pathway") while another expresses the D2 dopamine receptor and enkephalin and projects to the external segment of the globus pallidus (the "indirect pathway"). Cortical or thalamic deafferentation selectively decreases striatal PENK mRNA expression [40, 41]. Furthermore, cortical or thalamic excitation results in increases in PENK expression [93]. In addition to the increase in PENK mRNA, excitation of cortical afferents results in immediate early gene expression almost exclusively within enkephalin-containing projection neurons and non-projection interneurons of the striatum [94–101]. Food cues increased corticostriatal IEG correlations and corticothalamic IEG correlations with striatal hnPENK, suggesting that food cue-induced activity within cortical and thalamic afferents to the striatum activated the indirect pathway and PENK transcription [102]. This profile is in agreement with our recent results showing specific engagement of the indirect pathway by food-related motivational states [103].

Enkephalin and its μ-receptor have been widely implicated in the hedonic aspects of food and drug intake [104–108]. Stimulation of μ-opioid receptors in the ventral striatum increases the intake of palatable food [36–38, 109]. In addition, morphine-paired cues have been shown to increase, while saline-paired cues decrease, extracellular enkephalin levels within the striatum in morphine-conditioned rats [110]. Furthermore, blockade of μ-opioid receptors inhibits cue-elicited alcohol-seeking, methamphetamine-seeking, and food-seeking behaviors [30, 32–34]. As striatal enkephalin levels are also highly correlated with recovery of motor function after 6-hydroxydopamine lesions [111–115], these lines of evidence suggest that striatal enkephalin may play a role in the conditioned locomotor arousal to food-associated cues observed in this study. These findings and evidence from recent genetic studies suggests that the corticothalamic activation of the indirect pathway and the resulting enkephalin signaling are intimately linked to conditioned motivated behavior [116, 117].

Conclusion

This is the first report documenting a widespread neuroanatomic activation throughout the diencephalon and telencephalon in response to food-associated cues. Using a novel application of statistical methods, we found that cues associated with palatable food produced dramatic changes in the functional connectivity of circuits that are known to modulate adaptive behavior. Salient (food) cues elicited widespread cortical engagement of the basolateral amygdala, whereas irrelevant (water) cues elicited hippocampal engagement of the basolateral amygdala. In addition, compared with innocuous cues, salient cues increased cortical engagement of the striatum and shifted cortical functional connectivity away from the shell towards the core of the nucleus accumbens. Food cues also increased the striatal expression of enkephalin, a neuropeptide modulator of affective processing. These findings suggest that food-associated cues are capable of powerfully influencing neuronal activity and gene expression in areas mediating higher-order, executive functions and in areas mediating basal functions, such as energy-balance sensing and motor arousal. These processes are integrated to produce behavior, but our understanding of these interactions is incomplete, at best. This work increases our understanding of the powerful effects of food cue-exposure on activity and plasticity-related gene expression within, and functional connectivity between forebrain circuits mediating emotion, cognition, arousal, and behavior.

Methods

Subjects and behavioral paradigm

Male Sprague-Dawley rats (n = 12 total) used in this study weighed 275–299 g at the beginning of experiment and were housed in pairs in clear plastic cages in an animal colony. Rat chow and water were available in the home cages over the course of the experiment except for a 12–13.5-hour period prior to the final test, during which chow was not available. Lighting in the animal colony was on a 12-h light/dark cycle with lights on 07.00 to 19.00 h. Rats were handled daily for 3 days prior to the beginning of training. All animal care was in strict accordance with institutional animal care and use committee guidelines.

Each rat received access to chocolate Ensure in one of two environments with distinct sensory cues (context A or B) and water in the alternative environment for 15 days (Figure 1A). Contexts A and B differed in olfactory, somatosensory, and visual cues and have been described previously [54]. Training commenced daily in context A between 12.15 and 13.53 hours. Locomotor activity in this context was measured over the 15-day training phase by a photobeam activity system (San Diego Instruments, San Diego, CA, USA). Rats remained in context A for 90 minutes and context B for 30 or 90 minutes daily. Rats remained in context B for 30 minutes on days 3, 10, and 14, and for 90 minutes on all other training days. The restrained time exposure to context B was used to counteract a noted tendency for rats to consume more Ensure in context B. This unexplained tendency could be a result of different motivational states generated by the different training environments [118]. Alternatively, this tendency could be explained by a diurnal difference in motivational state, as exposure to context B during training always occurred later in the day. Regardless of the reason, decreasing the amount of time that the rats had access to Ensure in this environment therefore equalized the absolute amount of Ensure that both of the experimental groups consumed during the training period. This manipulation, however, introduced another variable to be considered on the test day. We cannot completely rule out an effect of an incomplete phase shift caused by the limited access to Ensure in context B on training days 3, 5, and 14 on test day locomotor activity, plasma corticosterone, or gene expression. We find this to be a very unlikely interpretation of the data as these limited exposures occurred on only 3 of the 15 training days. In addition, within these limited exposures, rats in context B consumed almost two-thirds of the Ensure that rats in context A consumed. We feel that these considerations make it unlikely that the effects observed on the test day are due to differences in phase shifts between the groups.

Three days after training, all rats were re-exposed to context A, where half of the rats had previously had access to Ensure and the other half had access to water. No bottles were present on the test day. Stressors can paradoxically increase appetitite-based conditioned responding [20, 34, 49, 119–122]. We, therefore, used acute food-deprivation as a means of enhancing food cue-induced, appetitite-motivated behavior and neuronal activity by removing rat chow from home cages 12–13.5 hours prior to testing in context A [4, 123]. On the test day, after 45 minutes in context A, where locomotor activity was again measured (in five 9-minute bins), rats were anesthetized with halothane and rapidly decapitated for tissue collection. Exposure of pairs of rats from the water cues and Ensure cues groups to context A on the test day was conducted from 12.15 to 14.30 hours, a period of time that overlapped with the time spent in both contexts A and B during training. Therefore, any effects observed cannot simply be accounted for by a diurnally entrained rhythm established during training.

Tissue isolation, enzyme-linked immunoassay, and ISH procedures

The procedures utilized for tissue isolation, corticosterone enzyme-linked immunoassay, and ISH have all been described previously [54]. The corticosterone result from one of the rats in the water cues group was not included in the statistical analysis because it was derived from a hemolyzed sample and was determined to be an outlier via a Grubbs outlier test (G1 = 1.858 > 1.822 at 95% C.I.). Intra-assay variability was <10%.

Templates for riboprobes were amplified from a rat-brain cDNA library. The primers used for the generation of antisense probe templates for all of the genes analyzed, except for c-fos, are listed in Additional file 5. Designing a probe against intron 1 of the PENK gene allowed us to measure hnPENK levels, which are temporally more proximal to and more sensitive to relative changes in PENK transcription, as we avoided detecting the large cellular pool of PENK mRNA that exists in striatal, indirect pathway neurons. A BLAST search was conducted with each of the predicted template sequences in order to insure that probes did not detect other known mRNA species. Appropriately sized bands were excised from 1.2% agarose after electrophoresis and purified with a gel extraction kit following the manufacturer's protocol (Qiagen, Valencia, CA, USA). In vitro transcription reactions using either amplified templates or a linearized plasmid containing c-fos sequence (kindly provided by T. Curran) were used to generate 35S-labeled antisense probes and the ISH procedure were carried out as described previously [54].

Sections run through the ISH procedure were exposed to a phosphorimager screen for between 4 and 7 days. The exposed screens were read in a Typhoon scanner and quantification of signal in particular brain regions (Figure 1B) was performed using ImageQuant software (both Molecular Dynamics Sunnyvale, CA, USA). Values for each hemisphere were averaged in order to arrive at a single value for each region and each rat. The values for the anterior and posterior cingulate cortex and the CA1 and CA3 fields of the dorsal hippocampus were averaged to arrive at single values for these regions. Background correction was determined to be unnecessary, as all tissue for each gene was run through the ISH procedure, including phosphor-screen exposure and scanning, and there were no observed differences in white matter signal intensities between groups. All measurements fell well within the ~10,000-fold linear range of the phosphor screen and Typhoon scanner used here, as determined by running a set of standards with known amounts of radioactivity in triplicate on the phosphor screen and running a correlation analysis and Z-test. After phosphor-screen exposure, slides were counterstained with Nissl stain and dehydrated through a graded series of ethanol and xylene. A coverslip was then applied. Images were taken with a Leica DC 300F digital camera linked to Image Pro-Plus software on a PC through a Leica DMRX microscope. Using Photoshop software, these images were scaled and superimposed upon phosphorescence images from which pixel intensity measurements were taken for anatomical confirmation of regional measurements. Examples of regions of phosphorimages from which measurements were taken with photomicrographs of paired, Nissl-stained sections can be found in Additional files 4, 5, and 6.

Although a time course of gene expression was not completed in this study, multiple experiments have demonstrated that peak induction of these early response gene transcripts occurs around 30 minutes after behavioral and pharmacological stimulation [124–126], thus we have probably detected mRNA levels resulting from levels of transcription peaking around 15 minutes of exposure to context A. Neither of the groups exhibited significant differences in locomotor activity during this period (Figure 2C), again suggesting that the transcriptional response is not purely due to differences in locomotion.

Statistical analyses

Behavioral data from the activity cages were analyzed using StatView software (SAS Institute, Cary, NC, USA). Total horizontal activity measurements in context A over the 15-day training period and on the test day were analyzed with a two-factor, between-group and within-group analysis of variance (ANOVAs) with treatment as the between-subjects factor and days or time interval as the within-subjects factor. Similar tests were run for daily Ensure and water intake and daily weights over the course of the experiment. After determining that a significant treatment effect existed for the test day locomotor activity data, comparisons between individual groups within each 9-minute time interval were performed using a one-way, between-subjects ANOVA. Test day plasma corticosterone data was analyzed with a one-factor ANOVA with treatment as the between-subjects factor.

For the ISH data, the averaged pixel intensities for each region were entered into StatView and were analyzed by first performing a two-way between and within subjects ANOVA with cues as the between-subjects factor and brain region as the within-subjects factor. After determining whether a significant group effect was present, comparisons between individual regions were performed using a one-way, between-subjects ANOVA.

Recent genetic evidence suggests that the expression of individual IEGs is under the control of overlapping but unique complements of transcription modulating entities [127]. Additionally, as each transcript gave a unique expression pattern, we used each IEG expression measurement as an individual observation, yielding greater statistical power for correlation analyses. In this light, we conducted correlation analyses of regional gene expression with total horizontal activity, plasma corticosterone, and gene expression within other regions. These correlations were conducted in order to ascertain whether alterations in locomotor acitivity and corticosterone levels were related to regional changes in activity-dependent gene expression, and to assess whether exposure to the Ensure-associated context was associated with changes in correlated neuroanatomical activity-dependent gene expression (i.e. functional connectivity).

We began by normalizing each regional gene expression measurement in the Ensure cues and water cues groups to the mean water cues group expression value. For example, imagine an experiment where n = 3 per group, and rats exposed to water cues had 1, 2, and 3 (mean = 2) arbitrary units of gene expression in region x, and rats exposed to Ensure cues had 2, 3, and 4 (mean = 3) arbitratry units of gene expression in the same region. The average control value of 2 would be used to divide all individual measurements for that gene in region x in both groups. The rats exposed to water cues would then have 0.5, 1.0, and 1.5 (new mean = 1.0) units and the rats exposed to Ensure cues 1.0, 1.5, and 2.0 (new mean = 1.5) units of gene expression within this region. This process allowed us to plot the measurements of different genes within a single region on a common axis. The regional, normalized homer1a, arc, zif268, ngfi-b, and c-fos expression measurements were used to calculate Pearson product moment correlations with locomotor activity, plasma corticosterone, and gene expression in other regions within the water and Ensure cues groups. Correlation coefficients were computed within each group, using only the genes within a region that exhibited a mean difference between the Ensure cues and water cues groups as revealed by the ANOVA means analysis. We excluded regional measurements of gene expression that exhibited no difference between groups, because the upstream signaling processes responsible of the transcription of that gene within that region cannot be involved in the generation of the differential motivational state. This procedure decreased the probability the occurrence of type II errors. Correlation Z-tests were applied to all the correlations in order to determine the significance of any relationships. To decrease the probability of the occurrence of type I errors resulting from outliers, we subjected each interregional gene expression correlation to a jackknife procedure in which each measurement was removed and correlations were recomputed without that single observation. Correlations were considered to be reliably significant if they remained significant (p < 0.05) throughout every iteration of this jackknife procedure. This procedure is similar to the technique used to map functionally activated circuits with fluorodeoxyglucose [128, 129]. Correlations were also computed between regional extrastriatal IEG expression and striatal hnPENK expression within each group. This analysis was meant to explore activity within afferent regions that may contribute to the transsynaptic induction of striatal hnPENK expression.

Declarations

Acknowledgements

This work was supported by National Institutes of Health, National Institute on Drug Abuse grants DA016503 (CAS), DA13780 (CFL), and DA04788 (AEK). We are grateful to Ms Emily Baum for assistance with behavioral portions of the experiment, Mr George Nash for assistance with the plasma corticosterone EIA, and Ms Carol Dizak for assistance with figures. Portions of this work previously appeared in abstract form [130].

Authors’ Affiliations

(1)
Medical Scientist and Neuroscience Training Programs, University of Wisconsin-Madison School of Medicine and Public Health, 6001 Research Park Boulevard, Madison, WI 53705, USA
(2)
Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, 6001 Research Park Boulevard, Madison, WI 53719, USA

References

  1. Finkelstein EA, Ruhm CJ, Kosa KM: Economic causes and consequences of obesity. Annu Rev Public Health. 2005, 26: 239-257. 10.1146/annurev.publhealth.26.021304.144628.PubMedGoogle Scholar
  2. Hill JO, Wyatt HR, Reed GW, Peters JC: Obesity and the environment: where do we go from here?. Science. 2003, 299 (5608): 853-855. 10.1126/science.1079857.PubMedGoogle Scholar
  3. Berthoud HR: Neural control of appetite: cross-talk between homeostatic and non-homeostatic systems. Appetite. 2004, 43 (3): 315-317. 10.1016/j.appet.2004.04.009.PubMedGoogle Scholar
  4. Berridge KC: Modulation of taste affect by hunger, caloric satiety, and sensory-specific satiety in the rat. Appetite. 1991, 16 (2): 103-120. 10.1016/0195-6663(91)90036-R.PubMedGoogle Scholar
  5. Cornell CE, Rodin J, Weingarten H: Stimulus-induced eating when satiated. Physiol Behav. 1989, 45 (4): 695-704. 10.1016/0031-9384(89)90281-3.PubMedGoogle Scholar
  6. Fedoroff IC, Polivy J, Herman CP: The effect of pre-exposure to food cues on the eating behavior of restrained and unrestrained eaters. Appetite. 1997, 28 (1): 33-47. 10.1006/appe.1996.0057.PubMedGoogle Scholar
  7. Gibson EL, Desmond E: Chocolate craving and hunger state: implications for the acquisition and expression of appetite and food choice. Appetite. 1999, 32 (2): 219-240. 10.1006/appe.1998.0207.PubMedGoogle Scholar
  8. Jansen A, van den Hout M: On being led into temptation: "counterregulation" of dieters after smelling a "preload". Addict Behav. 1991, 16 (5): 247-253. 10.1016/0306-4603(91)90017-C.PubMedGoogle Scholar
  9. Rogers PJ, Hill AJ: Breakdown of dietary restraint following mere exposure to food stimuli: interrelationships between restraint, hunger, salivation, and food intake. Addict Behav. 1989, 14 (4): 387-397. 10.1016/0306-4603(89)90026-9.PubMedGoogle Scholar
  10. Hinton EC, Parkinson JA, Holland AJ, Arana FS, Roberts AC, Owen AM: Neural contributions to the motivational control of appetite in humans. Eur J Neurosci. 2004, 20 (5): 1411-1418. 10.1111/j.1460-9568.2004.03589.x.PubMedGoogle Scholar
  11. LaBar KS, Gitelman DR, Parrish TB, Kim YH, Nobre AC, Mesulam MM: Hunger selectively modulates corticolimbic activation to food stimuli in humans. Behav Neurosci. 2001, 115 (2): 493-500. 10.1037/0735-7044.115.2.493.PubMedGoogle Scholar
  12. Simmons WK, Martin A, Barsalou LW: Pictures of appetizing foods activate gustatory cortices for taste and reward. Cereb Cortex. 2005, 15 (10): 1602-1608. 10.1093/cercor/bhi038.PubMedGoogle Scholar
  13. Tuomisto T, Hetherington MM, Morris MF, Tuomisto MT, Turjanmaa V, Lappalainen R: Psychological and physiological characteristics of sweet food "addiction". Int J Eat Disord. 1999, 25 (2): 169-175. 10.1002/(SICI)1098-108X(199903)25:2<169::AID-EAT6>3.0.CO;2-B.PubMedGoogle Scholar
  14. Arana FS, Parkinson JA, Hinton E, Holland AJ, Owen AM, Roberts AC: Dissociable contributions of the human amygdala and orbitofrontal cortex to incentive motivation and goal selection. J Neurosci. 2003, 23 (29): 9632-9638.PubMedGoogle Scholar
  15. Pelchat ML, Johnson A, Chan R, Valdez J, Ragland JD: Images of desire: food-craving activation during fMRI. Neuroimage. 2004, 23 (4): 1486-1493. 10.1016/j.neuroimage.2004.08.023.PubMedGoogle Scholar
  16. Gordon CM, Dougherty DD, Rauch SL, Emans SJ, Grace E, Lamm R, Alpert NM, Majzoub JA, Fischman AJ: Neuroanatomy of human appetitive function: A positron emission tomography investigation. Int J Eat Disord. 2000, 27 (2): 163-171. 10.1002/(SICI)1098-108X(200003)27:2<163::AID-EAT4>3.0.CO;2-Y.PubMedGoogle Scholar
  17. Killgore WD, Young AD, Femia LA, Bogorodzki P, Rogowska J, Yurgelun-Todd DA: Cortical and limbic activation during viewing of high-versus low-calorie foods. Neuroimage. 2003, 19 (4): 1381-1394. 10.1016/S1053-8119(03)00191-5.PubMedGoogle Scholar
  18. Meyer C, Waller G: Subliminal activation of abandonment- and eating-related schemata: relationship with eating disordered attitudes in a nonclinical population. Int J Eat Disord. 2000, 27 (3): 328-334. 10.1002/(SICI)1098-108X(200004)27:3<328::AID-EAT10>3.0.CO;2-U.PubMedGoogle Scholar
  19. Mitchell SL, Epstein LH: Changes in taste and satiety in dietary-restrained women following stress. Physiol Behav. 1996, 60 (2): 495-499. 10.1016/S0031-9384(96)80024-2.PubMedGoogle Scholar
  20. Pecina S, Schulkin J, Berridge KC: Nucleus accumbens CRF increases cue-triggered motivation for sucrose reward: paradoxical positive incentive effects in stress?. BMC Biol. 2006, 4 (1): 8-10.1186/1741-7007-4-8.PubMed CentralPubMedGoogle Scholar
  21. Roemmich JN, Wright SM, Epstein LH: Dietary restraint and stress-induced snacking in youth. Obes Res. 2002, 10 (11): 1120-1126.PubMedGoogle Scholar
  22. Ango F, Prezeau L, Muller T, Tu JC, Xiao B, Worley PF, Pin JP, Bockaert J, Fagni L: Agonist-independent activation of metabotropic glutamate receptors by the intracellular protein Homer. Nature. 2001, 411 (6840): 962-965. 10.1038/35082096.PubMedGoogle Scholar
  23. Roche KW, Tu JC, Petralia RS, Xiao B, Wenthold RJ, Worley PF: Homer 1b regulates the trafficking of group I metabotropic glutamate receptors. J Biol Chem. 1999, 274 (36): 25953-25957. 10.1074/jbc.274.36.25953.PubMedGoogle Scholar
  24. Tu JC, Xiao B, Yuan JP, Lanahan AA, Leoffert K, Li M, Linden DJ, Worley PF: Homer binds a novel proline-rich motif and links group 1 metabotropic glutamate receptors with IP3 receptors. Neuron. 1998, 21 (4): 717-726. 10.1016/S0896-6273(00)80589-9.PubMedGoogle Scholar
  25. Yuan JP, Kiselyov K, Shin DM, Chen J, Shcheynikov N, Kang SH, Dehoff MH, Schwarz MK, Seeburg PH, Muallem S, et al: Homer binds TRPC family channels and is required for gating of TRPC1 by IP3 receptors. Cell. 2003, 114 (6): 777-789. 10.1016/S0092-8674(03)00716-5.PubMedGoogle Scholar
  26. Chowdhury S, Shepherd JD, Okuno H, Lyford G, Petralia RS, Plath N, Kuhl D, Huganir RL, Worley PF: Arc/Arg3.1 interacts with the endocytic machinery to regulate AMPA receptor trafficking. Neuron. 2006, 52 (3): 445-459. 10.1016/j.neuron.2006.08.033.PubMed CentralPubMedGoogle Scholar
  27. Plath N, Ohana O, Dammermann B, Errington ML, Schmitz D, Gross C, Mao X, Engelsberg A, Mahlke C, Welzl H, et al: Arc/Arg3.1 is essential for the consolidation of synaptic plasticity and memories. Neuron. 2006, 52 (3): 437-444. 10.1016/j.neuron.2006.08.024.PubMedGoogle Scholar
  28. Rial Verde EM, Lee-Osbourne J, Worley PF, Malinow R, Cline HT: Increased expression of the immediate-early gene arc/arg3.1 reduces AMPA receptor-mediated synaptic transmission. Neuron. 2006, 52 (3): 461-474. 10.1016/j.neuron.2006.09.031.PubMed CentralPubMedGoogle Scholar
  29. Shepherd JD, Rumbaugh G, Wu J, Chowdhury S, Plath N, Kuhl D, Huganir RL, Worley PF: Arc/Arg3.1 mediates homeostatic synaptic scaling of AMPA receptors. Neuron. 2006, 52 (3): 475-484. 10.1016/j.neuron.2006.08.034.PubMed CentralPubMedGoogle Scholar
  30. Anggadiredja K, Sakimura K, Hiranita T, Yamamoto T: Naltrexone attenuates cue- but not drug-induced methamphetamine seeking: a possible mechanism for the dissociation of primary and secondary reward. Brain Res. 2004, 1021 (2): 272-276. 10.1016/j.brainres.2004.06.051.PubMedGoogle Scholar
  31. Bakshi VP, Kelley AE: Feeding induced by opioid stimulation of the ventral striatum: role of opiate receptor subtypes. J Pharmacol Exp Ther. 1993, 265 (3): 1253-1260.PubMedGoogle Scholar
  32. Ciccocioppo R, Martin-Fardon R, Weiss F: Effect of selective blockade of mu(1) or delta opioid receptors on reinstatement of alcohol-seeking behavior by drug-associated stimuli in rats. Neuropsychopharmacology. 2002, 27 (3): 391-399. 10.1016/S0893-133X(02)00302-0.PubMedGoogle Scholar
  33. Kelley AE, Bakshi VP, Fleming S, Holahan MR: A pharmacological analysis of the substrates underlying conditioned feeding induced by repeated opioid stimulation of the nucleus accumbens. Neuropsychopharmacology. 2000, 23 (4): 455-467. 10.1016/S0893-133X(00)00117-2.PubMedGoogle Scholar
  34. Liu X, Weiss F: Additive effect of stress and drug cues on reinstatement of ethanol seeking: exacerbation by history of dependence and role of concurrent activation of corticotropin-releasing factor and opioid mechanisms. J Neurosci. 2002, 22 (18): 7856-7861.PubMedGoogle Scholar
  35. Zhang M, Balmadrid C, Kelley AE: Nucleus accumbens opioid, GABaergic, and dopaminergic modulation of palatable food motivation: contrasting effects revealed by a progressive ratio study in the rat. Behav Neurosci. 2003, 117 (2): 202-211. 10.1037/0735-7044.117.2.202.PubMedGoogle Scholar
  36. Zhang M, Gosnell BA, Kelley AE: Intake of high-fat food is selectively enhanced by mu opioid receptor stimulation within the nucleus accumbens. J Pharmacol Exp Ther. 1998, 285 (2): 908-914.PubMedGoogle Scholar
  37. Zhang M, Kelley AE: Opiate agonists microinjected into the nucleus accumbens enhance sucrose drinking in rats. Psychopharmacology (Berl). 1997, 132 (4): 350-360. 10.1007/s002130050355.Google Scholar
  38. Zhang M, Kelley AE: Enhanced intake of high-fat food following striatal mu-opioid stimulation: microinjection mapping and fos expression. Neuroscience. 2000, 99 (2): 267-277. 10.1016/S0306-4522(00)00198-6.PubMedGoogle Scholar
  39. Zhang M, Kelley AE: Intake of saccharin, salt, and ethanol solutions is increased by infusion of a mu opioid agonist into the nucleus accumbens. Psychopharmacology (Berl). 2002, 159 (4): 415-423. 10.1007/s00213-001-0932-y.Google Scholar
  40. Salin P, Kachidian P: Thalamo-striatal deafferentation affects preproenkephalin but not preprotachykinin gene expression in the rat striatum. Brain Res Mol Brain Res. 1998, 57 (2): 257-265. 10.1016/S0169-328X(98)00098-9.PubMedGoogle Scholar
  41. Uhl GR, Navia B, Douglas J: Differential expression of preproenkephalin and preprodynorphin mRNAs in striatal neurons: high levels of preproenkephalin expression depend on cerebral cortical afferents. J Neurosci. 1988, 8 (12): 4755-4764.PubMedGoogle Scholar
  42. Guzowski JF, Lyford GL, Stevenson GD, Houston FP, McGaugh JL, Worley PF, Barnes CA: Inhibition of activity-dependent arc protein expression in the rat hippocampus impairs the maintenance of long-term potentiation and the consolidation of long-term memory. J Neurosci. 2000, 20 (11): 3993-4001.PubMedGoogle Scholar
  43. Malkani S, Wallace KJ, Donley MP, Rosen JB: An egr-1 (zif268) antisense oligodeoxynucleotide infused into the amygdala disrupts fear conditioning. Learn Mem. 2004, 11 (5): 617-624. 10.1101/lm.73104.PubMed CentralPubMedGoogle Scholar
  44. Van Keuren-Jensen K, Cline HT: Visual experience regulates metabotropic glutamate receptor-mediated plasticity of AMPA receptor synaptic transmission by homer1a induction. J Neurosci. 2006, 26 (29): 7575-7580. 10.1523/JNEUROSCI.5083-05.2006.PubMedGoogle Scholar
  45. Yasoshima Y, Sako N, Senba E, Yamamoto T: Acute suppression, but not chronic genetic deficiency, of c-fos gene expression impairs long-term memory in aversive taste learning. Proc Natl Acad Sci USA. 2006Google Scholar
  46. Forman BM, Umesono K, Chen J, Evans RM: Unique response pathways are established by allosteric interactions among nuclear hormone receptors. Cell. 1995, 81 (4): 541-550. 10.1016/0092-8674(95)90075-6.PubMedGoogle Scholar
  47. Lin B, Kolluri SK, Lin F, Liu W, Han YH, Cao X, Dawson MI, Reed JC, Zhang XK: Conversion of Bcl-2 from protector to killer by interaction with nuclear orphan receptor Nur77/TR3. Cell. 2004, 116 (4): 527-540. 10.1016/S0092-8674(04)00162-X.PubMedGoogle Scholar
  48. Vanderschuren LJ, Kalivas PW: Alterations in dopaminergic and glutamatergic transmission in the induction and expression of behavioral sensitization: a critical review of preclinical studies. Psychopharmacology (Berl). 2000, 151 (2–3): 99-120. 10.1007/s002130000493.Google Scholar
  49. Schiltz CA, Kelley AE, Landry CF: Acute Stress and Nicotine Cues Interact to Unveil Locomotor Arousal and Activity-Dependent Gene Expression in the Prefrontal Cortex. Biol Psychiatry. 2007, 61 (1): 127-135. 10.1016/j.biopsych.2006.03.002.PubMed CentralPubMedGoogle Scholar
  50. Schroeder BE, Binzak JM, Kelley AE: A common profile of prefrontal cortical activation following exposure to nicotine- or chocolate-associated contextual cues. Neuroscience. 2001, 105 (3): 535-545. 10.1016/S0306-4522(01)00221-4.PubMedGoogle Scholar
  51. Schroeder BE, Schiltz CA, Kelley AE: Neural activation profile elicited by cues associated with the anxiogenic drug yohimbine differs from that observed for reward-paired cues. Neuropsychopharmacology. 2003, 28 (1): 14-21. 10.1038/sj.npp.1300007.PubMedGoogle Scholar
  52. Kiss A, Jezova D, Aguilera G: Activity of the hypothalamic pituitary adrenal axis and sympathoadrenal system during food and water deprivation in the rat. Brain Res. 1994, 663 (1): 84-92. 10.1016/0006-8993(94)90465-0.PubMedGoogle Scholar
  53. DeVries AC, Taymans SE, Sundstrom JM, Pert A: Conditioned release of corticosterone by contextual stimuli associated with cocaine is mediated by corticotropin-releasing factor. Brain Res. 1998, 786 (1–2): 39-46. 10.1016/S0006-8993(97)01328-0.PubMedGoogle Scholar
  54. Schiltz CA, Kelley AE, Landry CF: Contextual cues associated with nicotine administration increase arc mRNA expression in corticolimbic areas of the rat brain. Eur J Neurosci. 2005, 21 (6): 1703-1711.PubMed CentralPubMedGoogle Scholar
  55. Valdes JL, Farias P, Ocampo-Garces A, Cortes N, Seron-Ferre M, Torrealba F: Arousal and differential Fos expression in histaminergic neurons of the ascending arousal system during a feeding-related motivated behaviour. Eur J Neurosci. 2005, 21 (7): 1931-1942. 10.1111/j.1460-9568.2005.04013.x.PubMedGoogle Scholar
  56. Valdes JL, Maldonado P, Recabarren M, Fuentes R, Torrealba F: The infralimbic cortical area commands the behavioral and vegetative arousal during appetitive behavior in the rat. Eur J Neurosci. 2006, 23 (5): 1352-1364. 10.1111/j.1460-9568.2006.04659.x.PubMedGoogle Scholar
  57. Petrovich GD, Ross CA, Gallagher M, Holland PC: Learned contextual cue potentiates eating in rats. Physiol Behav. 2006Google Scholar
  58. Petrovich GD, Holland PC, Gallagher M: Amygdalar and prefrontal pathways to the lateral hypothalamus are activated by a learned cue that stimulates eating. J Neurosci. 2005, 25 (36): 8295-8302. 10.1523/JNEUROSCI.2480-05.2005.PubMedGoogle Scholar
  59. Petrovich GD, Gallagher M: Amygdala subsystems and control of feeding behavior by learned cues. Ann N Y Acad Sci. 2003, 985: 251-262.PubMedGoogle Scholar
  60. Petrovich GD, Setlow B, Holland PC, Gallagher M: Amygdalo-hypothalamic circuit allows learned cues to override satiety and promote eating. J Neurosci. 2002, 22 (19): 8748-8753.PubMedGoogle Scholar
  61. Holland PC, Petrovich GD, Gallagher M: The effects of amygdala lesions on conditioned stimulus-potentiated eating in rats. Physiol Behav. 2002, 76 (1): 117-129. 10.1016/S0031-9384(02)00688-1.PubMedGoogle Scholar
  62. Weingarten HP: Conditioned cues elicit feeding in sated rats: a role for learning in meal initiation. Science. 1983, 220 (4595): 431-433. 10.1126/science.6836286.PubMedGoogle Scholar
  63. Zamble E: Classical conditioning of excitement anticipatory to food reward. J Comp Physiol Psychol. 1967, 63 (3): 526-529. 10.1037/h0024626.PubMedGoogle Scholar
  64. Pecoraro N, Dallman MF: c-Fos after incentive shifts: expectancy, incredulity, and recovery. Behav Neurosci. 2005, 119 (2): 366-387. 10.1037/0735-7044.119.2.366.PubMedGoogle Scholar
  65. Pickens CL, Saddoris MP, Setlow B, Gallagher M, Holland PC, Schoenbaum G: Different roles for orbitofrontal cortex and basolateral amygdala in a reinforcer devaluation task. J Neurosci. 2003, 23 (35): 11078-11084.PubMedGoogle Scholar
  66. Saddoris MP, Gallagher M, Schoenbaum G: Rapid associative encoding in basolateral amygdala depends on connections with orbitofrontal cortex. Neuron. 2005, 46 (2): 321-331. 10.1016/j.neuron.2005.02.018.PubMedGoogle Scholar
  67. Schoenbaum G, Setlow B, Nugent SL, Saddoris MP, Gallagher M: Lesions of orbitofrontal cortex and basolateral amygdala complex disrupt acquisition of odor-guided discriminations and reversals. Learn Mem. 2003, 10 (2): 129-140. 10.1101/lm.55203.PubMed CentralPubMedGoogle Scholar
  68. Schoenbaum G, Setlow B, Saddoris MP, Gallagher M: Encoding predicted outcome and acquired value in orbitofrontal cortex during cue sampling depends upon input from basolateral amygdala. Neuron. 2003, 39 (5): 855-867. 10.1016/S0896-6273(03)00474-4.PubMedGoogle Scholar
  69. Shuler MG, Bear MF: Reward timing in the primary visual cortex. Science. 2006, 311 (5767): 1606-1609. 10.1126/science.1123513.PubMedGoogle Scholar
  70. Ito R, Everitt BJ, Robbins TW: The hippocampus and appetitive Pavlovian conditioning: effects of excitotoxic hippocampal lesions on conditioned locomotor activity and autoshaping. Hippocampus. 2005, 15 (6): 713-721. 10.1002/hipo.20094.PubMedGoogle Scholar
  71. Han JS, Gallagher M, Holland P: Hippocampal lesions disrupt decrements but not increments in conditioned stimulus processing. J Neurosci. 1995, 15 (11): 7323-7329.PubMedGoogle Scholar
  72. Holland PC, Fox GD: Effects of hippocampal lesions in overshadowing and blocking procedures. Behav Neurosci. 2003, 117 (3): 650-656. 10.1037/0735-7044.117.3.650.PubMedGoogle Scholar
  73. Radulovic J, Kammermeier J, Spiess J: Relationship between fos production and classical fear conditioning: effects of novelty, latent inhibition, and unconditioned stimulus preexposure. J Neurosci. 1998, 18 (18): 7452-7461.PubMedGoogle Scholar
  74. McIntosh AR, Gonzalez-Lima F: Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling. J Neurophysiol. 1994, 72 (4): 1717-1733.PubMedGoogle Scholar
  75. Coutureau E, Blundell PJ, Killcross S: Basolateral amygdala lesions disrupt latent inhibitionin rats. Brain Res Bull. 2001, 56 (1): 49-53. 10.1016/S0361-9230(01)00592-5.PubMedGoogle Scholar
  76. Mello LE, Tan AM, Finch DM: GABAergic synaptic transmission in projections from the basal forebrain and hippocampal formation to the amygdala: an in vivo iontophoretic study. Brain Res. 1992, 587 (1): 41-48. 10.1016/0006-8993(92)91426-F.PubMedGoogle Scholar
  77. Mello LE, Tan AM, Finch DM: Convergence of projections from the rat hippocampal formation, medial geniculate and basal forebrain onto single amygdaloid neurons: an in vivo extra- and intracellular electrophysiological study. Brain Res. 1992, 587 (1): 24-40. 10.1016/0006-8993(92)91425-E.PubMedGoogle Scholar
  78. Morrison F, Poletti CE: Hippocampal influence on amygdala unit activity in awake squirrel monkeys. Brain Res. 1980, 192 (2): 353-369. 10.1016/0006-8993(80)90889-6.PubMedGoogle Scholar
  79. Rudy JW, Huff NC, Matus-Amat P: Understanding contextual fear conditioning: insights from a two-process model. Neurosci Biobehav Rev. 2004, 28 (7): 675-685. 10.1016/j.neubiorev.2004.09.004.PubMedGoogle Scholar
  80. Ito R, Robbins TW, McNaughton BL, Everitt BJ: Selective excitotoxic lesions of the hippocampus and basolateral amygdala have dissociable effects on appetitive cue and place conditioning based on path integration in a novel Y-maze procedure. Eur J Neurosci. 2006, 23 (11): 3071-3080. 10.1111/j.1460-9568.2006.04883.x.PubMed CentralPubMedGoogle Scholar
  81. Floresco SB, Ghods-Sharifi S, Vexelman C, Magyar O: Dissociable roles for the nucleus accumbens core and shell in regulating set shifting. J Neurosci. 2006, 26 (9): 2449-2457. 10.1523/JNEUROSCI.4431-05.2006.PubMedGoogle Scholar
  82. Fuchs RA, Evans KA, Parker MC, See RE: Differential involvement of the core and shell subregions of the nucleus accumbens in conditioned cue-induced reinstatement of cocaine seeking in rats. Psychopharmacology (Berl). 2004, 176 (3–4): 459-465. 10.1007/s00213-004-1895-6.Google Scholar
  83. Ito R, Robbins TW, Everitt BJ: Differential control over cocaine-seeking behavior by nucleus accumbens core and shell. Nat Neurosci. 2004, 7 (4): 389-397. 10.1038/nn1217.PubMedGoogle Scholar
  84. Parkinson JA, Olmstead MC, Burns LH, Robbins TW, Everitt BJ: Dissociation in effects of lesions of the nucleus accumbens core and shell on appetitive pavlovian approach behavior and the potentiation of conditioned reinforcement and locomotor activity by D-amphetamine. J Neurosci. 1999, 19 (6): 2401-2411.PubMedGoogle Scholar
  85. Jongen-Relo AL, Kaufmann S, Feldon J: A differential involvement of the shell and core subterritories of the nucleus accumbens of rats in attentional processes. Neuroscience. 2002, 111 (1): 95-109. 10.1016/S0306-4522(01)00521-8.PubMedGoogle Scholar
  86. Tai CT, Cassaday HJ, Feldon J, Rawlins JN: Both electrolytic and excitotoxic lesions of nucleus accumbens disrupt latent inhibition of learning in rats. Neurobiol Learn Mem. 1995, 64 (1): 36-48. 10.1006/nlme.1995.1042.PubMedGoogle Scholar
  87. Weiner I, Gal G, Rawlins JN, Feldon J: Differential involvement of the shell and core subterritories of the nucleus accumbens in latent inhibition and amphetamine-induced activity. Behav Brain Res. 1996, 81 (1–2): 123-133. 10.1016/S0166-4328(96)00051-4.PubMedGoogle Scholar
  88. Mora F, Rolls ET, Burton MJ: Modulation during learning of the responses of neurons in the lateral hypothalamus to the sight of food. Exp Neurol. 1976, 53 (2): 508-519. 10.1016/0014-4886(76)90089-3.PubMedGoogle Scholar
  89. Rolls ET, Burton MJ, Mora F: Neurophysiological analysis of brain-stimulation reward in the monkey. Brain Res. 1980, 194 (2): 339-357. 10.1016/0006-8993(80)91216-0.PubMedGoogle Scholar
  90. Harris GC, Wimmer M, Aston-Jones G: A role for lateral hypothalamic orexin neurons in reward seeking. Nature. 2005, 437 (7058): 556-559. 10.1038/nature04071.PubMedGoogle Scholar
  91. Woods SC, Schwartz MW, Baskin DG, Seeley RJ: Food intake and the regulation of body weight. Annu Rev Psychol. 2000, 51: 255-277. 10.1146/annurev.psych.51.1.255.PubMedGoogle Scholar
  92. DeFalco J, Tomishima M, Liu H, Zhao C, Cai X, Marth JD, Enquist L, Friedman JM: Virus-assisted mapping of neural inputs to a feeding center in the hypothalamus. Science. 2001, 291 (5513): 2608-2613. 10.1126/science.1056602.PubMedGoogle Scholar
  93. Morl F, Groschel M, Leemhuis J, Meyer DK: Intrinsic GABA neurons inhibit proenkephalin gene expression in slice cultures of rat neostriatum. Eur J Neurosci. 2002, 15 (7): 1115-1124. 10.1046/j.1460-9568.2002.01950.x.PubMedGoogle Scholar
  94. Ferguson SM, Robinson TE: Amphetamine-evoked gene expression in striatopallidal neurons: regulation by corticostriatal afferents and the ERK/MAPK signaling cascade. J Neurochem. 2004, 91 (2): 337-348. 10.1111/j.1471-4159.2004.02712.x.PubMedGoogle Scholar
  95. Miyachi S, Hasegawa YT, Gerfen CR: Coincident stimulation of convergent cortical inputs enhances immediate early gene induction in the striatum. Neuroscience. 2005, 134 (3): 1013-1022. 10.1016/j.neuroscience.2005.02.051.PubMedGoogle Scholar
  96. Uslaner JM, Crombag HS, Ferguson SM, Robinson TE: Cocaine-induced psychomotor activity is associated with its ability to induce c-fos mRNA expression in the subthalamic nucleus: effects of dose and repeated treatment. Eur J Neurosci. 2003, 17 (10): 2180-2186. 10.1046/j.1460-9568.2003.02638.x.PubMedGoogle Scholar
  97. Uslaner JM, Norton CS, Watson SJ, Akil H, Robinson TE: Amphetamine-induced c-fos mRNA expression in the caudate-putamen and subthalamic nucleus: interactions between dose, environment, and neuronal phenotype. J Neurochem. 2003, 85 (1): 105-114.PubMedGoogle Scholar
  98. Arabia AM, Shen PJ, Gundlach AL: Increased striatal proenkephalin mRNA subsequent to production of spreading depression in rat cerebral cortex: activation of corticostriatal pathways?. Brain Res Mol Brain Res. 1998, 61 (1–2): 195-202. 10.1016/S0169-328X(98)00189-2.PubMedGoogle Scholar
  99. Berretta S, Parthasarathy HB, Graybiel AM: Local release of GABAergic inhibition in the motor cortex induces immediate-early gene expression in indirect pathway neurons of the striatum. J Neurosci. 1997, 17 (12): 4752-4763.PubMedGoogle Scholar
  100. Campbell K, Bjorklund A: Neurotransmitter-related gene expression in intrastriatal striatal transplants. III. Regulation by host cortical and dopaminergic afferents. Brain Res Mol Brain Res. 1995, 29 (2): 263-272.PubMedGoogle Scholar
  101. Parthasarathy HB, Graybiel AM: Cortically driven immediate-early gene expression reflects modular influence of sensorimotor cortex on identified striatal neurons in the squirrel monkey. J Neurosci. 1997, 17 (7): 2477-2491.PubMedGoogle Scholar
  102. Steiner H, Gerfen CR: Enkephalin regulates acute D2 dopamine receptor antagonist-induced immediate-early gene expression in striatal neurons. Neuroscience. 1999, 88 (3): 795-810. 10.1016/S0306-4522(98)00241-3.PubMedGoogle Scholar
  103. Will MJ, Vanderheyden WM, Kelley AE: Striatal opioid peptide gene expression differentially tracks short-term satiety but does not vary with negative energy balance in a manner opposite to hypothalamic NPY. Am J Physiol Regul Integr Comp Physiol. 2007, 292 (1): R217-226.PubMedGoogle Scholar
  104. Narayanan S, Lam H, Christian L, Levine MS, Grandy D, Rubinstein M, Maidment NT: Endogenous opioids mediate basal hedonic tone independent of dopamine D-1 or D-2 receptor activation. Neuroscience. 2004, 124 (1): 241-246. 10.1016/j.neuroscience.2003.11.011.PubMedGoogle Scholar
  105. Skoubis PD, Lam HA, Shoblock J, Narayanan S, Maidment NT: Endogenous enkephalins, not endorphins, modulate basal hedonic state in mice. Eur J Neurosci. 2005, 21 (5): 1379-1384. 10.1111/j.1460-9568.2005.03956.x.PubMedGoogle Scholar
  106. Kelley AE, Baldo BA, Pratt WE: A proposed hypothalamic-thalamic-striatal axis for the integration of energy balance, arousal, and food reward. J Comp Neurol. 2005, 493 (1): 72-85. 10.1002/cne.20769.PubMedGoogle Scholar
  107. Kelley AE, Baldo BA, Pratt WE, Will MJ: Corticostriatal-hypothalamic circuitry and food motivation: integration of energy, action and reward. Physiol Behav. 2005, 86 (5): 773-795. 10.1016/j.physbeh.2005.08.066.PubMedGoogle Scholar
  108. Levine AS, Billington CJ: Opioids as agents of reward-related feeding: a consideration of the evidence. Physiol Behav. 2004, 82 (1): 57-61. 10.1016/j.physbeh.2004.04.032.PubMedGoogle Scholar
  109. Pecina S, Berridge KC: Hedonic hot spot in nucleus accumbens shell: where do mu-opioids cause increased hedonic impact of sweetness?. J Neurosci. 2005, 25 (50): 11777-11786. 10.1523/JNEUROSCI.2329-05.2005.PubMedGoogle Scholar
  110. Nieto MM, Wilson J, Cupo A, Roques BP, Noble F: Chronic morphine treatment modulates the extracellular levels of endogenous enkephalins in rat brain structures involved in opiate dependence: a microdialysis study. J Neurosci. 2002, 22 (3): 1034-1041.PubMedGoogle Scholar
  111. Borsook D, Hyman SE: Proenkephalin gene regulation in the neuroendocrine hypothalamus: a model of gene regulation in the CNS. Am J Physiol. 1995, 269 (3 Pt 1): E393-408.PubMedGoogle Scholar
  112. Mocchetti I, Giorgi O, Schwartz JP, Costa E: A reduction of the tone of 5-hydroxytryptamine neurons decreases utilization rates of striatal and hypothalamic enkephalins. Eur J Pharmacol. 1984, 106 (2): 427-430. 10.1016/0014-2999(84)90734-9.PubMedGoogle Scholar
  113. Tang F, Costa E, Schwartz JP: Increase of proenkephalin mRNA and enkephalin content of rat striatum after daily injection of haloperidol for 2 to 3 weeks. Proc Natl Acad Sci USA. 1983, 80 (12): 3841-3844. 10.1073/pnas.80.12.3841.PubMed CentralPubMedGoogle Scholar
  114. Uhl GR, Appleby D, Nishimori T, Buzzi MG, Moskowitz MA: Synaptic regulation of the enkephalin gene and transcription factors in vivo: possible roles in drug abuse. NIDA Res Monogr. 1990, 105: 123-129.PubMedGoogle Scholar
  115. Uhl GR, Nishimori T: Neuropeptide gene expression and neural activity: assessing a working hypothesis in nucleus caudalis and dorsal horn neurons expressing preproenkephalin and preprodynorphin. Cell Mol Neurobiol. 1990, 10 (1): 73-98. 10.1007/BF00733637.PubMedGoogle Scholar
  116. Hayward MD, Pintar JE, Low MJ: Selective reward deficit in mice lacking beta-endorphin and enkephalin. J Neurosci. 2002, 22 (18): 8251-8258.PubMedGoogle Scholar
  117. Hayward MD, Schaich-Borg A, Pintar JE, Low MJ: Differential involvement of endogenous opioids in sucrose consumption and food reinforcement. Pharmacol Biochem Behav. 2006Google Scholar
  118. Lucas GA, Timberlake W: Negative anticipatory contrast and preference conditioning: flavor cues support preference conditioning, and environmental cues support contrast. J Exp Psychol Anim Behav Process. 1992, 18 (1): 34-40. 10.1037/0097-7403.18.1.34.PubMedGoogle Scholar
  119. Feltenstein MW, See RE: Potentiation of cue-induced reinstatement of cocaine-seeking in rats by the anxiogenic drug yohimbine. Behav Brain Res. 2006Google Scholar
  120. Goddard B, Leri F: Reinstatement of conditioned reinforcing properties of cocaine-conditioned stimuli. Pharmacol Biochem Behav. 2006, 83 (4): 540-546. 10.1016/j.pbb.2006.03.015.PubMedGoogle Scholar
  121. Lu L, Shepard JD, Scott Hall F, Shaham Y: Effect of environmental stressors on opiate and psychostimulant reinforcement, reinstatement and discrimination in rats: a review. Neurosci Biobehav Rev. 2003, 27 (5): 457-491. 10.1016/S0149-7634(03)00073-3.PubMedGoogle Scholar
  122. Schiltz CA, Kelley AE, Landry CF: Acute stress uncovers drug-cue reactivity and increased IEG expression in the prefrontal cortex of rats exposed to low-dose nicotine cues. Program No. 121.9. 2004 Abstract Viewer/Itinerary Planner. 2004, Washington, DC: Society for NeuroscienceGoogle Scholar
  123. Haberny SL, Carr KD: Food restriction increases NMDA receptor-mediated calcium-calmodulin kinase II and NMDA receptor/extracellular signal-regulated kinase 1/2-mediated cyclic amp response element-binding protein phosphorylation in nucleus accumbens upon D-1 dopamine receptor stimulation in rats. Neuroscience. 2005, 132 (4): 1035-1043. 10.1016/j.neuroscience.2005.02.006.PubMedGoogle Scholar
  124. Berke JD, Paletzki RF, Aronson GJ, Hyman SE, Gerfen CR: A complex program of striatal gene expression induced by dopaminergic stimulation. J Neurosci. 1998, 18 (14): 5301-5310.PubMedGoogle Scholar
  125. Guzowski JF, Setlow B, Wagner EK, McGaugh JL: Experience-dependent gene expression in the rat hippocampus after spatial learning: a comparison of the immediate-early genes Arc, c-fos, and zif268. J Neurosci. 2001, 21 (14): 5089-5098.PubMedGoogle Scholar
  126. Guzowski JF, McNaughton BL, Barnes CA, Worley PF: Environment-specific expression of the immediate-early gene Arc in hippocampal neuronal ensembles. Nat Neurosci. 1999, 2 (12): 1120-1124. 10.1038/16046.PubMedGoogle Scholar
  127. Ramanan N, Shen Y, Sarsfield S, Lemberger T, Schutz G, Linden DJ, Ginty DD: SRF mediates activity-induced gene expression and synaptic plasticity but not neuronal viability. Nat Neurosci. 2005, 8 (6): 759-767. 10.1038/nn1462.PubMedGoogle Scholar
  128. Barrett D, Shumake J, Jones D, Gonzalez-Lima F: Metabolic mapping of mouse brain activity after extinction of a conditioned emotional response. J Neurosci. 2003, 23 (13): 5740-5749.PubMedGoogle Scholar
  129. Nair HP, Gonzalez-Lima F: Extinction of behavior in infant rats: development of functional coupling between septal, hippocampal, and ventral tegmental regions. J Neurosci. 1999, 19 (19): 8646-8655.PubMedGoogle Scholar
  130. Schiltz CA, Kelley AE, Landry CF: Exposure to cues associated with palatable food increases immediate-early gene (IEG) mRNA and proenkephalin (PENK) premRNA expression in the rat brain. Neuropsychopharmacology. 2005, 30 (Supplement): S213-Google Scholar
  131. Paxinos G, Watson C: The Rat Brain in Stereotaxic Coordinates. 1998, San Diego: Academic PressGoogle Scholar

Copyright

© Schiltz et al; licensee BioMed Central Ltd. 2007

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement

BMC Biology

ISSN: 1741-7007

Contact us