Action-mode subnetworks for decision-making, action control, and feedback
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.
Authors
- Dillan J. Newbold (ORCID: https://orcid.org/0000-0002-5826-3546)
- Charles J. Lynch (ORCID: https://orcid.org/0000-0003-1936-9740)
- Scott McGill Nelson (ORCID: https://orcid.org/0000-0002-9099-3047)
- Nico U.F. Dosenbach (ORCID: https://orcid.org/0000-0002-6876-7078)
- Abraham Z. Snyder (ORCID: https://orcid.org/0000-0002-3379-9627)
- Roselyne J. Chauvin (ORCID: https://orcid.org/0000-0001-5786-4705)
- Marcus E. Raichle (ORCID: https://orcid.org/0000-0002-1847-9588)
- Deanna J. Greene (ORCID: https://orcid.org/0000-0002-0739-7771)
- Scott Marek (ORCID: https://orcid.org/0000-0003-0032-9052)
- Evan M. Gordon (ORCID: https://orcid.org/0000-0002-2276-5237)
- Carolina Badke D’Andrea (ORCID: https://orcid.org/0000-0002-6240-8832)
- Ashley N. Nielsen (ORCID: https://orcid.org/0000-0002-7148-8256)
- Samuel R. Krimmel (ORCID: https://orcid.org/0000-0002-5198-1545)
- Timothy O. Laumann
- Mohammad Hadji
Institutions
- Washington University in St. Louis (US)
- Cornell University (US)
- Columbia University Irving Medical Center (US)
- University of California San Diego (US)
- University of Minnesota Medical Center (US)
- Allen Institute for Artificial Intelligence (US)
- Weill Cornell Medicine (US)
- New York University (US)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1073/pnas.2502021122
- Citations
- 12
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 17.17
Funders
- Hope Center for Neurological Disorders
- National Institutes of Health
- Intellectual and Developmental Disabilities Research Center
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke