Evidence map›Paper›PMID 41016017›Full record

ArticleBrain and behavior2025

Functional Connectivity of the Dorsal and Ventral Attention Network and Its Role in Attentional Disengagement.

Sélim Yahia Coll, Emilie Marti, Naz Doganci, Radek Ptak

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In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sélim Yahia CollLaboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Emilie MartiLaboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0009-0006-6027-9818
Naz DoganciLaboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Radek PtakLaboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-4708-9201

Funding

32003B_184702Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
6 · The paper itself

Abstract

backgroundThe interplay between the ventral attention network (VAN) and dorsal attention network (DAN) is crucial for attentional control, particularly in disengagement processes. While task-based fMRI studies have extensively characterized their roles, less is known about whether intrinsic connectivity patterns during rest within these networks predict individual differences in attentional disengagement. This study investigates the relationship between resting-state functional VAN-DAN connectivity and disengagement efficiency.

methodsAn initial sample of 85 healthy participants completed a spatial cueing task, assessing attentional disengagement through reaction time differences between valid and invalid cue trials. Resting-state fMRI data were collected and analyzed using seed-based connectivity methods. Functional connectivity between key VAN and DAN regions-frontal eye fields (FEF), intraparietal sulcus (IPS), inferior frontal gyrus (IFG), and supramarginal gyrus (SMG)-was examined in relation to a disengagement index, representing cue validity effects.

resultsParticipants exhibited slower responses to invalidly cued targets, with a greater disengagement cost in the left visual field. Functional connectivity analyses revealed that VAN regions, particularly the right IFG and SMG, showed stronger associations with attentional disengagement than DAN regions. Increased FC with occipito-temporal areas correlated with heightened validity effects in the left hemifield, while greater connectivity with medial parietal and cingulate regions was linked to reduced disengagement asymmetry. Interhemispheric connectivity also played a modulatory role in attentional control.

conclusionThese findings underscore the role of VAN over DAN in attentional disengagement, emphasizing the right IFG and SMG in reorienting attention. Greater connectivity with occipito-temporal regions may hinder disengagement, while enhanced functional connectivity with medial cortical areas facilitates adaptive shifts in attention. This study highlights the importance of intrinsic VAN-DAN interactions in shaping attentional control and provides insights into the neural mechanisms underlying disengagement efficiency.

Indexed as

AttentionBrainNerve NetAdultBrain MappingCuesFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysParietal LobeReaction TimeYoung Adultattention networksdisengagementresting‐state functional connectivityspatial attention

Identifiers

PMID41016017
PMCPMC12476866

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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.