Evidence map›Paper›PMID 34282209›Full record

ArticleScientific reports2021

Frontal midline theta differentiates separate cognitive control strategies while still generalizing the need for cognitive control.

Jarrod Eisma, Eric Rawls, Stephanie Long, Russell Mach, Connie Lamm

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Psilocybin-assisted neurofeedback for the improvement of executive functions: a randomized semi-naturalistic-lab feasibility study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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  17. Expanding the spectrum of the "texting rhythm" in EEG.Epileptic disorders : international epilepsy journal with videotape · 2025
    Article
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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

5 authors.

Jarrod Eisma *Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, USA.ORCID 0000-0002-2056-5469
Eric Rawls *Department of Psychiatry and Behavioral Sciences, University of Minnesota Health, Minneapolis, MN, 55414, USA. erawls89@gmail.com.ORCID 0000-0002-4852-9961
Stephanie LongDepartment of Psychological Sciences, University of Arkansas, Fayetteville, USA.
Russell MachDepartment of Psychological Sciences, University of Arkansas, Fayetteville, USA.
Connie LammDepartment of Psychological Sciences, University of Arkansas, Fayetteville, USA.

Funding

Using a computational and network neuroscience framework to study pharmacological manipulations of state representation processes in early psychosisP50MH119569 · NIMH · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH, Sophia Vinogradov · 2020 to 2026
$24.5M
Using Computation to Achieve Breakthroughs in NeuroscienceT32MH115886 · NIMH · UNIVERSITY OF MINNESOTA · PI REDISH, A DAVID · 2018 to 2022
$1.7M
NIMH NIH HHS P50 MH119569NIMH NIH HHS T32-MH115866NIMH NIH HHS T32 MH115886
6 · The paper itself

Abstract

Cognitive control processes encompass many distinct components, including response inhibition (stopping a prepotent response), proactive control (using prior information to enact control), reactive control (last-minute changing of a prepotent response), and conflict monitoring (choosing between two competing responses). While frontal midline theta activity is theorized to be a general marker of the need for cognitive control, a stringent test of this hypothesis would require a quantitative, within-subject comparison of the neural activation patterns indexing many different cognitive control strategies, an experiment lacking in the current literature. We recorded EEG from 176 participants as they performed tasks that tested inhibitory control (Go/Nogo Task), proactive and reactive control (AX-Continuous Performance Task), and resolving response conflict (Global/Local Task-modified Flanker Task). As activity in the theta (4-8 Hz) frequency band is thought to be a common signature of cognitive control, we assessed frontal midline theta activation underlying each cognitive control strategy. In all strategies, we found higher frontal midline theta power for trials that required more cognitive control (target conditions) versus control conditions. Additionally, reactive control and inhibitory control had higher theta power than proactive control and response conflict, and proactive control had higher theta power than response conflict. Using decoding analyses, we were able to successfully decode control from target trials using classifiers trained exclusively on each of the other strategies, thus firmly demonstrating that theta representations of cognitive control generalize across multiple cognitive control strategies. Our results confirm that frontal midline theta-band activity is a common mechanism for initiating and executing cognitive control, but theta power also differentiates between cognitive control mechanisms. As theta activation reliably differs depending on the cognitive control strategy employed, future work will need to focus on the differential role of theta in differing cognitive control strategies.

Indexed as

AdolescentAdultCognitionElectroencephalographyExecutive FunctionFemaleFrontal LobeGeneralization, PsychologicalHumansMalePsychomotor PerformanceReaction TimeTheta RhythmYoung Adult

Identifiers

PMID34282209
PMCPMC8290013

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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.