Evidence map›Paper›PMID 39990315›Full record

ArticlebioRxiv : the preprint server for biology2025

Neural dynamics of proactive and reactive cognitive control in medial and lateral prefrontal cortex.

Anas U Khan, Colin Hoy, Kristopher L Anderson, Vitoria Piai, David KingStephens, Kenneth D Laxer, Peter Weber, Jack J Lin, Robert T Knight, J Nicole Bentley

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

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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

10 authors.

Anas U KhanDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-3299-2983
Colin HoyDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Kristopher L AndersonHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
Vitoria PiaiRadboud University, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, Netherlands.
David KingStephensDepartment of Neurology and Neurosurgery, California Pacific Medical Center, San Francisco, CA, USA.
Kenneth D LaxerDepartment of Neurology, University of California, Irvine, Irvine, CA, USA.
Peter WeberDepartment of Neurology, University of California, Irvine, Irvine, CA, USA.
Jack J LinDepartment of Neurology, University of California, Davis, Davis, CA, USA.
Robert T KnightHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
J Nicole BentleyDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI CHARLES E SCHROEDER · 2017 to 2026
$25.3M
Attention, Orientation and the Human Prefrontal CortexR01NS021135 · NINDS · UNIVERSITY OF CALIFORNIA DAVIS · PI Robert Thomas Knight · 1985 to 2026
$6.5M
Investigating Inhibitory Control Networks in Parkinson's DiseaseK23NS117735 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BENTLEY, JESSICA NICOLE · 2021 to 2025
$965k
Identifying the neural mechanisms of goal-directed decision-making in Parkinson's disease using closed-loop deep brain stimulationF32MH132174 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOY, COLIN · 2023 to 2025
$232k
NIMH NIH HHS F32 MH132174NIMH NIH HHS P50 MH109429NINDS NIH HHS K23 NS117735NINDS NIH HHS R01 NS021135
6 · The paper itself

Abstract

Gol-directed behavior requires adjusting cognitive control to both react to and prepare for conflict. Previous work indicates theta oscillations and population activity in dorsomedial prefrontal cortex (dmPFC) and dorsolateral prefrontal cortex (dlPFC) are critical for reactive control. However, the neural mechanisms supporting proactive control are less clear. Here, we investigated the neural basis of behavioral adaptations when control is prepared in anticipation of conflict using intracranial EEG (iEEG) in dmPFC and dlPFC during a Stroop task where conflict frequency was manipulated across blocks. We observed canonical conflict-driven increases in dmPFC theta and in dmPFC and dlPFC local population activity, as indexed by high frequency activity (HFA). Conflict also suppressed theta power in both regions after the response, accentuated a pre-response beta desynchronization selectively in dlPFC, and increased a post-response beta rebound in both regions. Importantly, we identified a pre-trial marker of proactive control where dmPFC theta power increased before trials when conflict was expected, and theta, beta, and HFA conflict signals in both regions were enhanced when conflict was rare and diminished when conflict was common. These findings reveal shared HFA but dissociable oscillatory dynamics in dmPFC and dlPFC during reactive conflict processing, highlight pre-trial dmPFC theta as a potential substrate for proactive control, and refine the roles of dmPFC and dlPFC in control adaptations.

Identifiers

PMID39990315
PMCPMC11844492

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Registered trials

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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.