Evidence map›Paper›PMID 37707299›Full record

ArticleCognitive neuroscience

Spatiotemporal dynamics of selective attention and visual conflict monitoring using a Stroop task.

Rawan Jarrar, Colleen Monahan, Johanna Shattuck, Peter Teale, Eugene Kronberg, Benzi M Kluger, Isabelle Buard

Abstract read
In one paragraph

Article in Cognitive neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rawan JarrarSchool of Medicine, University of Colorado Denver, Aurora, CO, USA.
Colleen MonahanDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.
Johanna ShattuckDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.
Peter TealeDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.
Eugene KronbergDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.
Benzi M KlugerDepartments of Neurology and Medicine, University of Rochester Medical Center, Rochester, NY, USA.
Isabelle BuardDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.ORCID 0000-0001-9455-6365

Funding

Auditory-motor entrainment of fine motor function via Neurologic Music TherapyK01AT009894 · NCCIH · UNIVERSITY OF COLORADO DENVER · PI BUARD, ISABELLE · 2019 to 2023
$641k
NCCIH NIH HHS K01 AT009894
6 · The paper itself

Abstract

Selective attention and conflict monitoring are daily human phenomena, yet the spatial and temporal neurological underpinnings of these processes are not fully understood. Current literature suggests these executive functions occur via diverse and highly interconnected neural networks, including top-down, bottom-up, and conflict-control loops. To investigate the spatiotemporal activity of these processes, we collected neuromagnetic data using magnetoencephalography (MEG) in 28 healthy adults (age 19-36), while they performed a computerized Stroop task based on color naming. We focused on low-frequency oscillations in the context of top-down control and hypothesized that conflict monitoring-related activity would first be observed in the left anterior cingulate cortex, followed by the left dorsolateral prefrontal cortex, and subsequently in the parietal and temporal lobes. Significant activity between 600-1000 ms post-stimulus onset was found for incongruent vs. congruent/neutral contrasts. Interestingly, spatiotemporal analysis did not provide evidence for a top-down pattern of activation, instead revealing a simultaneous pattern of activation in the frontal and temporal lobes. Most notable is the involvement of the left posterior inferior temporal cortex (pITC) and the left temporoparietal junction (TPJ), which have not conventionally been considered active players in attentional control. These results may be largely driven by alpha and beta oscillations from our sample population. Our findings challenge early theoretical models of top-down processing in the context of cognitive control from an attention perspective and also suggest a need to investigate attentional centers in the temporal lobe. Furthermore, the study highlights the valuable temporal data provided by MEG, which has been missing from previous studies.

Indexed as

cognitive interferencemagnetoencephalographyStroop tasktop-down processing

Identifiers

PMID37707299
PMCPMC10591874

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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.