Evidence map›Paper›PMID 41678043›Full record

ArticleBrain imaging and behavior2026

Sex differences in human brain dynamics assessed with edge functional connectivity.

Anna Rose DiPentima, Robert G Lyday, Paul J Laurienti, Dale Dagenbach

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Anna Rose DiPentimaDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Robert G LydayDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Paul J LaurientiDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Dale DagenbachDepartment of Psychology, Wake Forest University, Winston- Salem, NC, 27109, USA. dagenbac@wfu.edu.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Numerous sex/gender differences in the human brain have been documented, including anatomical differences and differences in structural and functional connectivity, but many of these differences are critically sensitive to methodology and many are eliminated if total brain volume is controlled for. In this study, evidence is provided for a sex/gender difference in brain network dynamics during resting state inferred from edge functional connectivity. The analyses use data from the Human Connectome Project allowing a relatively large sample size (N = 1024). Analyses of peak heights and trough durations in a whole brain measure of brain network dynamics based on edge functional connectivity suggest that males show less frequent alterations than females. This difference exists across multiple definitions of peak heights and trough durations, and when covaried with age and brain volume. Similar analyses using nodes within the default mode network found longer male trough durations and higher female peak heights. These results provide preliminary evidence of possible sex/gender related differences in brain dynamics when participants are in a resting state, and suggest that further studies of dynamics under other conditions may be illuminating.

Indexed as

BrainConnectomeSex CharacteristicsAdultFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysRestYoung AdultBrain network dynamicsEdge connectivityFunctional connectivitySex differences

Identifiers

PMID41678043
PMCPMC12901068

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.