Evidence map›Paper›PMID 42447943›Full record

ReviewNeuroscience and biobehavioral reviews2026

Insights into the neural mechanisms supporting cognitive stability and flexibility from human intracranial electroencephalography.

Jinjiang Zhang, Gregory B Cogan, Tobias Egner

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2026. 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
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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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jinjiang ZhangCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA. Electronic address: jzhang7345@gmail.com.
Gregory B CoganCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA; Department of Neurology, Duke University, Durham, NC, USA; Department of Neurosurgery, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA; Duke Comprehensive Epilepsy Center, Duke University, Durham, NC, USA.
Tobias EgnerCenter for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.

Funding

Neurocognitive mechanisms of control over cognitive stability and flexibilityR01MH133550 · NIMH · DUKE UNIVERSITY · PI Gregory B Cogan, Tobias Egner · 2023 to 2026
$1.9M
NIMH NIH HHS R01 MH133550
6 · The paper itself

Abstract

Cognitive control is the ability to direct behavior based on internal goals. Two core capacities of cognitive control are focusing attention on task-relevant stimuli while ignoring distracters (cognitive stability) and shifting between different goals/rules to guide behavior (cognitive flexibility). Despite extensive prior work, the precise neural mechanisms underlying these capacities remain incompletely understood. We review recent intracranial electroencephalography (iEEG) studies that speak to this question by employing probes of conflict-control (requiring stability) or task-switching (requiring flexibility). Synthesizing the findings, we propose two levels of mechanism. The first mechanism is oscillatory coordination of when and where control signals are routed, involving performance monitoring and subsequent control implementation. The former is mediated by medial frontal theta (∼4-8 Hz) oscillations supporting the propagation of conflict-control and task-switching signals across cortical/subcortical networks, alongside high gamma (HG; ∼70-150 Hz) activity indexing local regional engagement; the latter is mediated via beta (∼13-30 Hz) oscillations regulating whether task sets are maintained (stability) or updated (flexibility) in working memory. The second mechanism is neuronal population coding of task-relevant information. This is supported by neural partitioning of task sets into distinct subspaces to simultaneously represent both domain-general and domain-specific information. Our review and integrative synthesis offer a working hypothesis for a more precise characterization of how the human brain implements cognitive stability and flexibility, which may eventually provide biomarkers for psychiatric and neurological conditions characterized by impairments in these capacities.

Indexed as

BrainBrain WavesCognitionCognitive FlexibilityElectrocorticographyExecutive FunctionHumansCognitive controlCognitive flexibilityCognitive stabilityConflict controlIntracranial electroencephalographyNeural OscillationsTask switchingWorking Memory

Identifiers

PMID42447943
PMCPMC13435737

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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.