Abstract:The posterior dorsomedial striatum (pDMS) is essential for the acquisition and expression of the specific response-outcome (R-O) associations that underlie goal-directed action. Here we examined the role of a pathway linking the basolateral amygdala (BLA) and pDMS in such goal-directed learning. In Experiment 1, rats received unilateral lesions of the BLA and were implanted with cannula targeting the pDMS in either the ipsilateral (control) or contralateral (disconnection) hemisphere. After initial training, r… Show more
“…Furthermore, the PL, ILA, and BLAa are all recruited during late tone-food training, and Fos induction in these areas correlated significantly with Fos induction in the DMS. Taken together our findings are consistent with the idea that the BLA acts as the primary processor of emotional information, which through cooperation with cortical and striatal regions results in the appropriate appetitive behavioral response (Schoenbaum et al, 1998; Piette et al, 2012: Corbit et al, 2013; Parkes and Balleine, 2013). One possibility is that the DMS activation seen here may reflect its role in encoding of an association between the cue and the unique properties of the food pellets and its current value, as suggested in a recent study by Corbit and Janak (2010).…”
Section: Discussionsupporting
confidence: 91%
“…Current accounts of dorsal striatal function in reward learning emphasize a role in acquiring instrumental actions for food (e.g. lever-press for sucrose) (Yin et al, 2005; Shiflett et al, 2010; Bradfield et al, 2013; Corbit et al, 2013). Consequently, the present results are exciting because they suggest that the DMS is also involved during Pavlovian cue-food associations.…”
Section: Discussionmentioning
confidence: 99%
“…However, the DMS has a unique connectional pattern, with afferents from higher order associational areas (see Voorn et al, 2004). Notably, the DMS receives heavy innervation from the PL and lighter projections from the ILA (Berendse et al, 1992), while the amygdalar inputs are from the BLAa (Kita and Kitai, 1990; Corbit et al, 2013). These connections suggest the DMS could be an important integrative site mediating appetitive associative learning and behavior.…”
The amygdala, prefrontal cortex, striatum and other connected forebrain areas are important for reward-associated learning and subsequent behaviors. How these structurally and functionally dissociable regions are recruited during initial learning, however, is unclear. Recently, we showed amygdalar nuclei were differentially recruited across different stages of cue-food associations in a Pavlovian conditioning paradigm. Here, we systematically examined Fos induction in the forebrain, including areas associated with the amygdala, during early (day 1) and late (day 10) training sessions of cue-food conditioning. During training, rats in the conditioned group received tone-food pairings, while controls received presentations of the tone alone in the conditioning chamber followed by food delivery in their home cage. We found that a small subset of telencephalic and hypothalamic regions were differentially recruited during the early and late stages of training, suggesting evidence of learning induced plasticity. Initial tone-food pairings recruited solely the amygdala, while late tone-food pairings came to induce Fos in distinct areas within the medial and lateral prefrontal cortex, the dorsal striatum, and the hypothalamus (lateral hypothalamus and paraventricular nucleus). Furthermore, within the perifornical lateral hypothalamus, tone-food pairings selectively recruited neurons that produce the orexigenic neuropeptide orexin/hypocretin. These data show a functional map of the forebrain areas recruited by appetitive associative learning and dependent on experience. These selectively activated regions include interconnected prefrontal, striatal, and hypothalamic regions that form a discrete but distributed network that is well placed to simultaneously inform cortical (cognitive) processing and behavioral (motivational) control during cue-food learning.
“…Furthermore, the PL, ILA, and BLAa are all recruited during late tone-food training, and Fos induction in these areas correlated significantly with Fos induction in the DMS. Taken together our findings are consistent with the idea that the BLA acts as the primary processor of emotional information, which through cooperation with cortical and striatal regions results in the appropriate appetitive behavioral response (Schoenbaum et al, 1998; Piette et al, 2012: Corbit et al, 2013; Parkes and Balleine, 2013). One possibility is that the DMS activation seen here may reflect its role in encoding of an association between the cue and the unique properties of the food pellets and its current value, as suggested in a recent study by Corbit and Janak (2010).…”
Section: Discussionsupporting
confidence: 91%
“…Current accounts of dorsal striatal function in reward learning emphasize a role in acquiring instrumental actions for food (e.g. lever-press for sucrose) (Yin et al, 2005; Shiflett et al, 2010; Bradfield et al, 2013; Corbit et al, 2013). Consequently, the present results are exciting because they suggest that the DMS is also involved during Pavlovian cue-food associations.…”
Section: Discussionmentioning
confidence: 99%
“…However, the DMS has a unique connectional pattern, with afferents from higher order associational areas (see Voorn et al, 2004). Notably, the DMS receives heavy innervation from the PL and lighter projections from the ILA (Berendse et al, 1992), while the amygdalar inputs are from the BLAa (Kita and Kitai, 1990; Corbit et al, 2013). These connections suggest the DMS could be an important integrative site mediating appetitive associative learning and behavior.…”
The amygdala, prefrontal cortex, striatum and other connected forebrain areas are important for reward-associated learning and subsequent behaviors. How these structurally and functionally dissociable regions are recruited during initial learning, however, is unclear. Recently, we showed amygdalar nuclei were differentially recruited across different stages of cue-food associations in a Pavlovian conditioning paradigm. Here, we systematically examined Fos induction in the forebrain, including areas associated with the amygdala, during early (day 1) and late (day 10) training sessions of cue-food conditioning. During training, rats in the conditioned group received tone-food pairings, while controls received presentations of the tone alone in the conditioning chamber followed by food delivery in their home cage. We found that a small subset of telencephalic and hypothalamic regions were differentially recruited during the early and late stages of training, suggesting evidence of learning induced plasticity. Initial tone-food pairings recruited solely the amygdala, while late tone-food pairings came to induce Fos in distinct areas within the medial and lateral prefrontal cortex, the dorsal striatum, and the hypothalamus (lateral hypothalamus and paraventricular nucleus). Furthermore, within the perifornical lateral hypothalamus, tone-food pairings selectively recruited neurons that produce the orexigenic neuropeptide orexin/hypocretin. These data show a functional map of the forebrain areas recruited by appetitive associative learning and dependent on experience. These selectively activated regions include interconnected prefrontal, striatal, and hypothalamic regions that form a discrete but distributed network that is well placed to simultaneously inform cortical (cognitive) processing and behavioral (motivational) control during cue-food learning.
“…Perhaps for a similar reason, infralimbic cortex (which is more associated with ventral striatum than with dorsolateral) is also involved in habitual instrumental behaviour [23]. In addition, recent results with disconnection lesions suggest that the basolateral and central nuclei of the amygdala, in communication with dorsomedial and dorsolateral striatum, are required for acquiring MB and MF instrumental behaviours, respectively [86,87].…”
Despite many debates in the first half of the twentieth century, it is now largely a truism that humans and other animals build models of their environments and use them for prediction and control. However, model-based (MB) reasoning presents severe computational challenges. Alternative, computationally simpler, model-free (MF) schemes have been suggested in the reinforcement learning literature, and have afforded influential accounts of behavioural and neural data. Here, we study the realization of MB calculations, and the ways that this might be woven together with MF values and evaluation methods. There are as yet mostly only hints in the literature as to the resulting tapestry, so we offer more preview than review.
“…From a circuit-level perspective, most reports in this domain have focused on BLA interactions with the nucleus accumbens and dorsal striatum (10–12), meaning top-down cortical regulation of BLA-dependent goal-directed decision-making is under-characterized. Further, these and related studies have largely used lesion approaches in rats, leaving molecular mechanisms unclear.…”
Background
Distinguishing between actions that are more, or less, likely to be rewarded is a critical aspect of goal-directed decision-making. However, neuroanatomical and molecular mechanisms are not fully understood.
Methods
We used anterograde tracing, viral-mediated gene silencing, functional disconnection strategies, pharmacological rescue, and Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) to determine the anatomical and functional connectivity between the orbitofrontal cortex (oPFC) and the amygdala in mice. In particular, we knocked down Brain-derived neurotrophic factor (Bdnf) bilaterally in the oPFC, or generated an oPFC-amygdala “disconnection” by pairing unilateral oPFC Bdnf knockdown with lesions of the contralateral amygdala. We characterized decision-making strategies using a task wherein mice select actions based on the likelihood that they will be reinforced. Additionally, we assessed the effects of DREADD-mediated oPFC inhibition on the consolidation of action-outcome conditioning.
Results
As in other species, the oPFC projects to the basolateral amygdala and dorsal striatum in mice. Bilateral Bdnf knockdown within the ventrolateral oPFC, and unilateral Bdnf knockdown accompanied by lesions of the contralateral amygdala, impede goal-directed response selection, implicating BDNF-expressing oPFC projection neurons in selecting actions based on their consequences. The TrkB agonist 7,8-dihydroxyflavone rescues action selection and increases dendritic spine density on excitatory neurons in the oPFC. Rho-kinase inhibition also rescues goal-directed response strategies, linking neural remodeling with outcome-based decision-making. Finally, DREADD-mediated oPFC inhibition weakens new action-outcome conditioning.
Conclusions
Activity- and BDNF-dependent neuroplasticity within the oPFC coordinate outcome-based decision-making through interactions with the amygdala. These interactions brake reward-seeking habits, a putative factor in multiple psychopathologies.
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