Evidence map›Paper›PMID 41958996›Full record

ArticlebioRxiv : the preprint server for biology2026

Time-resolved directional organization of brain networks: distinct strength and temporal signatures from neurophysiology to disease.

Nan Xu, Xiaodi Zhang, Wen-Ju Pan, Jeremy L Smith, Eric H Schumacher, Jason W Allen, Vince D Calhoun, Shella D Keilholz

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
–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

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

8 authors.

Nan XuFischell Department of Bioengineering, Department of Electrical and Computer Engineering, Brain and Behavior Institute, University of Maryland, College Park, MD, United States.ORCID 0000-0002-3900-3220
Xiaodi ZhangWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Wen-Ju PanWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Jeremy L SmithDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Eric H SchumacherSchool of Psychology, Georgia Institute of Technology, Atlanta, GA, United States.
Jason W AllenDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University and Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Shella D KeilholzWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.

Funding

Time-varying spatiotemporal causal interactions in the functional brain networksR00NS123113 · NINDS · UNIV OF MARYLAND, COLLEGE PARK · PI Nan Xu · 2025 to 2026
$531k
NINDS NIH HHS R00 NS123113
6 · The paper itself

Abstract

Brain function depends on time-resolved directional organization: influence is continuously redistributed across regions, shaping who drives whom, when, and for how long. Yet dynamic neuroimaging has largely emphasized undirected fluctuations in functional connectivity, limiting biological interpretation of asymmetric interactions. Here we show that directed influence can be resolved into two biologically distinct signatures: strength, reflecting the efficacy of influence, and duration, reflecting its temporal extent. To test this principle, we developed sliding-window prediction correlation (SWpC), a framework for estimating these signatures in fMRI and related signals. Across simultaneous rat local field potential (LFP)-fMRI and human motor-task fMRI, strength more closely tracks neural-BOLD coupling and task-evoked reconfiguration, whereas duration captures temporally extended BOLD patterns more susceptible to hemodynamic timing. In post-concussion vestibular dysfunction, altered strength-duration profiles define reproducible vestibular-multisensory states and improve patient-control discrimination. Together, these findings support a general principle of dynamic brain organization spanning neurophysiology, behavior, and disease.

Identifiers

PMID41958996
PMCPMC13060345

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.