Evidence map›Paper›PMID 40166196›Full record

ArticlebioRxiv : the preprint server for biology2025

How the dynamic interplay of cortico-basal ganglia-thalamic pathways shapes the time course of deliberation and commitment.

Zhuojun Yu, Timothy Verstynen, Jonathan E Rubin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Zhuojun YuDepartment of Psychology & Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-4243-2405
Timothy VerstynenDepartment of Psychology & Neuroscience Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-4720-0336
Jonathan E RubinCenter for the Neural Basis of Cognition, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-1513-1551

Funding

CRCNS: Decision dynamics in cortico-basal ganglia-thalamic networksR01DA059993 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI Jonathan E. Rubin, TIMOTHY D VERSTYNEN · 2023 to 2026
$1.3M
CRCNS Circuit-Level Mechanisms of Adaptive decision-makingR01DA053014 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI VERSTYNEN, TIMOTHY D · 2020 to 2022
$1.0M
CRCNS: Diverse effects of GABAergic inputs on a basal ganglia output centerR01NS125814 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GITTIS, ARYN HILARY, RUBIN, JONATHAN E. · 2021 to 2023
$957k
Behavioral quantification through active learning and multidimensional physiological monitoringR34DA059509 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI GROVER, PULKIT, KUANG, ZHENG · 2024 to 2025
$663k
NIDA NIH HHS R01 DA053014NIDA NIH HHS R01 DA059993NIDA NIH HHS R34 DA059509NINDS NIH HHS R01 NS125814
6 · The paper itself

Abstract

Although the cortico-basal ganglia-thalamic (CBGT) network is identified as a central circuit for decision-making, the dynamic interplay of multiple control pathways within this network in shaping decision trajectories remains poorly understood. Here we develop and apply a novel computational framework - CLAW (Circuit Logic Assessed via Walks) - for tracing the instantaneous flow of neural activity as it progresses through CBGT networks engaged in a virtual decision-making task. Our CLAW analysis reveals that the complex dynamics of network activity is functionally dissectible into two critical phases: deliberation and commitment. These two phases are governed by distinct contributions of underlying CBGT pathways, with indirect and pallidostriatal pathways influencing deliberation, while the direct pathway drives action commitment. We translate CBGT dynamics into the evolution of decision-related policies, based on three previously identified control ensembles (responsiveness, pliancy, and choice) that encapsulate the relationship between CBGT activity and the evidence accumulation process. Our results demonstrate two contrasting strategies for decision-making. Fast decisions, with direct pathway dominance, feature an early response in both boundary height and drift rate, leading to a rapid collapse of decision boundaries and a clear directional bias. In contrast, slow decisions, driven by indirect and pallidostriatal pathway dominance, involve delayed changes in both decision policy parameters, allowing for an extended period of deliberation before commitment to an action. These analyses provide important insights into how the CBGT circuitry can be tuned to adopt various decision strategies and how the decision-making process unfolds within each regime.

Identifiers

PMID40166196
PMCPMC11956933

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.