Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.

The basal ganglia (BG) play a key role in decision-making, preventing impulsive actions in some contexts while facilitating fast adaptations in others. The specific contributions of different BG structures to this nuanced behavior remain unclear, particularly under varying situations of noisy and co...

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Main Authors: Nadja R Ging-Jehli, James F Cavanagh, Minkyu Ahn, David J Segar, Wael F Asaad, Michael J Frank
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3002978
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author Nadja R Ging-Jehli
James F Cavanagh
Minkyu Ahn
David J Segar
Wael F Asaad
Michael J Frank
author_facet Nadja R Ging-Jehli
James F Cavanagh
Minkyu Ahn
David J Segar
Wael F Asaad
Michael J Frank
author_sort Nadja R Ging-Jehli
collection DOAJ
description The basal ganglia (BG) play a key role in decision-making, preventing impulsive actions in some contexts while facilitating fast adaptations in others. The specific contributions of different BG structures to this nuanced behavior remain unclear, particularly under varying situations of noisy and conflicting information that necessitate ongoing adjustments in the balance between speed and accuracy. Theoretical accounts suggest that dynamic regulation of the amount of evidence required to commit to a decision (a dynamic "decision boundary") may be necessary to meet these competing demands. Through the application of novel computational modeling tools in tandem with direct neural recordings from human BG areas, we find that neural dynamics in the theta band manifest as variations in a collapsing decision boundary as a function of conflict and uncertainty. We collected intracranial recordings from patients diagnosed with either Parkinson's disease (PD) (n = 14) or dystonia (n = 3) in the subthalamic nucleus (STN), globus pallidus internus (GPi), and globus pallidus externus (GPe) during their performance of a novel perceptual discrimination task in which we independently manipulated uncertainty and conflict. To formally characterize whether these task and neural components influenced decision dynamics, we leveraged modified diffusion decision models (DDMs). Behavioral choices and response time distributions were best characterized by a modified DDM in which the decision boundary collapsed over time, but where the onset and shape of this collapse varied with conflict. Moreover, theta dynamics in BG structures modulated the onset and shape of this collapse but differentially across task conditions. In STN, theta activity was related to a prolonged decision boundary (indexed by slower collapse and therefore more deliberate choices) during high conflict situations. Conversely, rapid declines in GPe theta during low conflict conditions were related to rapidly collapsing boundaries and expedited choices, with additional complementary decision bound adjustments during high uncertainty situations. Finally, GPi theta effects were uniform across conditions, with increases in theta associated with a prolongation of decision bound collapses. Together, these findings provide a nuanced understanding of how our brain thwarts impulsive actions while nonetheless enabling behavioral adaptation amidst noisy and conflicting information.
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spelling doaj-art-d464df13292047e2887aa06679dddfcf2025-02-05T05:30:20ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852025-01-01231e300297810.1371/journal.pbio.3002978Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.Nadja R Ging-JehliJames F CavanaghMinkyu AhnDavid J SegarWael F AsaadMichael J FrankThe basal ganglia (BG) play a key role in decision-making, preventing impulsive actions in some contexts while facilitating fast adaptations in others. The specific contributions of different BG structures to this nuanced behavior remain unclear, particularly under varying situations of noisy and conflicting information that necessitate ongoing adjustments in the balance between speed and accuracy. Theoretical accounts suggest that dynamic regulation of the amount of evidence required to commit to a decision (a dynamic "decision boundary") may be necessary to meet these competing demands. Through the application of novel computational modeling tools in tandem with direct neural recordings from human BG areas, we find that neural dynamics in the theta band manifest as variations in a collapsing decision boundary as a function of conflict and uncertainty. We collected intracranial recordings from patients diagnosed with either Parkinson's disease (PD) (n = 14) or dystonia (n = 3) in the subthalamic nucleus (STN), globus pallidus internus (GPi), and globus pallidus externus (GPe) during their performance of a novel perceptual discrimination task in which we independently manipulated uncertainty and conflict. To formally characterize whether these task and neural components influenced decision dynamics, we leveraged modified diffusion decision models (DDMs). Behavioral choices and response time distributions were best characterized by a modified DDM in which the decision boundary collapsed over time, but where the onset and shape of this collapse varied with conflict. Moreover, theta dynamics in BG structures modulated the onset and shape of this collapse but differentially across task conditions. In STN, theta activity was related to a prolonged decision boundary (indexed by slower collapse and therefore more deliberate choices) during high conflict situations. Conversely, rapid declines in GPe theta during low conflict conditions were related to rapidly collapsing boundaries and expedited choices, with additional complementary decision bound adjustments during high uncertainty situations. Finally, GPi theta effects were uniform across conditions, with increases in theta associated with a prolongation of decision bound collapses. Together, these findings provide a nuanced understanding of how our brain thwarts impulsive actions while nonetheless enabling behavioral adaptation amidst noisy and conflicting information.https://doi.org/10.1371/journal.pbio.3002978
spellingShingle Nadja R Ging-Jehli
James F Cavanagh
Minkyu Ahn
David J Segar
Wael F Asaad
Michael J Frank
Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
PLoS Biology
title Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
title_full Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
title_fullStr Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
title_full_unstemmed Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
title_short Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.
title_sort basal ganglia components have distinct computational roles in decision making dynamics under conflict and uncertainty
url https://doi.org/10.1371/journal.pbio.3002978
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