Action-mode subnetworks for decision-making, action control, and feedback

• 成果类型: Article
• 署名作者: D'Andrea, Carolina Badke; Laumann, Timothy O.; Newbold, Dillan J.; Lynch, Charles J.; Hadji, Mohammad; Nelson, Steven M.; Nielsen, Ashley N.; Chauvin, Roselyne J.; Krimmel, Samuel R.; Snyder, Abraham Z.; Marek, Scott; Greene, Deanna J.; Raichle, Marcus E.; Dosenbach, Nico U. F.; Gordon, Evan M.
• 署名单位: Washington University (WUSTL); Washington University (WUSTL); University of California System; University of California San Diego; New York University; Cornell University; Weill Cornell Medicine; University of Minnesota System; University of Minnesota Twin Cities; Washington University (WUSTL); Washington University (WUSTL); Washington University (WUSTL); Washington University (WUSTL); Washington University (WUSTL); Washington University (WUSTL); Washington University (WUSTL)
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13118
• DOI: 10.1073/pnas.2502021122
• 发表日期: 2025-07-08
• 关键词: anterior cingulate cortex; human brain; default-mode; functional connectivity; distributed networks; cognitive control; task control; SYSTEM; ORGANIZATION; pain

摘要

The action-mode network (AMN) is a canonical functional brain network first identified using resting-state functional connectivity (RSFC). Based on animal and human data, we have proposed that AMN supports the brain's action mode by controlling functions required for successful goal-directed behavior. However, task fMRI averaged across groups has associated AMN regions with a variety of behaviors, contributing to uncertainty about AMN function. Here, we investigated the AMN using an inside-out approach, in which the network architecture of the AMN is first precisely mapped within individuals and then associated with behavioral functions. Individual-specific precision functional mapping with >5 h of RSFC and task functional magnetic resonance imaging (fMRI) data revealed a replicable AMN subnetwork structure. AMN subnetworks were characterized and annotated by combining a meta-analytic network association method with RSFC, intrinsic timing, and task activation profiling. We demonstrate the existence of AMN-Decision,- Action, and-Feedback subnetworks that are distributed across lobes, forming a temporally sequential within-network processing stream by which the brain adjudicates between possible goals, sets action plans, and modifies those plans in response to feedback such as pain. A subnetwork in the pars marginalis of the cingulate was distinct from the Decision, Action, and Feedback subnetworks and may be important for the construction of the bodily self.