Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.

Cortical and basal ganglia circuits play a crucial role in the formation of goal-directed and habitual behaviors. In this study, we investigate the cortico-striatal circuitry involved in learning and the role of this circuitry in the emergence of inflexible behaviors such as those observed in addict...

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Main Authors: William H Barnett, Alexey Kuznetsov, Christopher C Lapish
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279841&type=printable
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author William H Barnett
Alexey Kuznetsov
Christopher C Lapish
author_facet William H Barnett
Alexey Kuznetsov
Christopher C Lapish
author_sort William H Barnett
collection DOAJ
description Cortical and basal ganglia circuits play a crucial role in the formation of goal-directed and habitual behaviors. In this study, we investigate the cortico-striatal circuitry involved in learning and the role of this circuitry in the emergence of inflexible behaviors such as those observed in addiction. Specifically, we develop a computational model of cortico-striatal interactions that performs concurrent goal-directed and habit learning. The model accomplishes this by distinguishing learning processes in the dorsomedial striatum (DMS) that rely on reward prediction error signals as distinct from the dorsolateral striatum (DLS) where learning is supported by salience signals. These striatal subregions each operate on unique cortical input: the DMS receives input from the prefrontal cortex (PFC) which represents outcomes, and the DLS receives input from the premotor cortex which determines action selection. Following an initial learning of a two-alternative forced choice task, we subjected the model to reversal learning, reward devaluation, and learning a punished outcome. Behavior driven by stimulus-response associations in the DLS resisted goal-directed learning of new reward feedback rules despite devaluation or punishment, indicating the expression of habit. We repeated these simulations after the impairment of executive control, which was implemented as poor outcome representation in the PFC. The degraded executive control reduced the efficacy of goal-directed learning, and stimulus-response associations in the DLS were even more resistant to the learning of new reward feedback rules. In summary, this model describes how circuits of the dorsal striatum are dynamically engaged to control behavior and how the impairment of executive control by the PFC enhances inflexible behavior.
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spelling doaj-art-5c7638a0a8034dc2bc04a25fd9b891262025-01-16T05:31:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183e027984110.1371/journal.pone.0279841Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.William H BarnettAlexey KuznetsovChristopher C LapishCortical and basal ganglia circuits play a crucial role in the formation of goal-directed and habitual behaviors. In this study, we investigate the cortico-striatal circuitry involved in learning and the role of this circuitry in the emergence of inflexible behaviors such as those observed in addiction. Specifically, we develop a computational model of cortico-striatal interactions that performs concurrent goal-directed and habit learning. The model accomplishes this by distinguishing learning processes in the dorsomedial striatum (DMS) that rely on reward prediction error signals as distinct from the dorsolateral striatum (DLS) where learning is supported by salience signals. These striatal subregions each operate on unique cortical input: the DMS receives input from the prefrontal cortex (PFC) which represents outcomes, and the DLS receives input from the premotor cortex which determines action selection. Following an initial learning of a two-alternative forced choice task, we subjected the model to reversal learning, reward devaluation, and learning a punished outcome. Behavior driven by stimulus-response associations in the DLS resisted goal-directed learning of new reward feedback rules despite devaluation or punishment, indicating the expression of habit. We repeated these simulations after the impairment of executive control, which was implemented as poor outcome representation in the PFC. The degraded executive control reduced the efficacy of goal-directed learning, and stimulus-response associations in the DLS were even more resistant to the learning of new reward feedback rules. In summary, this model describes how circuits of the dorsal striatum are dynamically engaged to control behavior and how the impairment of executive control by the PFC enhances inflexible behavior.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279841&type=printable
spellingShingle William H Barnett
Alexey Kuznetsov
Christopher C Lapish
Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
PLoS ONE
title Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
title_full Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
title_fullStr Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
title_full_unstemmed Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
title_short Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior.
title_sort distinct cortico striatal compartments drive competition between adaptive and automatized behavior
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0279841&type=printable
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AT alexeykuznetsov distinctcorticostriatalcompartmentsdrivecompetitionbetweenadaptiveandautomatizedbehavior
AT christopherclapish distinctcorticostriatalcompartmentsdrivecompetitionbetweenadaptiveandautomatizedbehavior