Evidence map›Paper›PMID 41209086›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2025

Evidence for white matter intrinsic connectivity networks at rest and during a task: A large-scale study and templates.

Vaibhavi S Itkyal, Armin Iraji, Kyle M Jensen, Theodore J LaGrow, Marlena Duda, Jessica A Turner, Jingyu Liu, Lei Wu, Yuhui Du, Jill Fries and 20 more

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

30 authors.

Vaibhavi S ItkyalWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-1949-9844
Armin IrajiTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Kyle M JensenTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Theodore J LaGrowDepartment of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Marlena DudaTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Jessica A TurnerDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Jingyu LiuTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Lei WuTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Yuhui DuTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Jill FriesTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Zening FuTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA.
Aysenil BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Judith M FordDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Daniel H MathalonDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
Godfrey D PearlsonDepartments of Psychiatry and Neuroscience, School of Medicine, Yale University, New Haven, CT, USA.
Steven G PotkinDepartment of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Adrian PredaDepartment of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Theo G M van ErpClinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
Kun YangDepartment of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Akira SawaDepartments of Psychiatry, Neuroscience, Biomedical Engineering, Pharmacology, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kent HutchisonDepartment of Psychology, University of Colorado, Boulder, CO, USA.
Elizabeth A OsuchDepartment of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.
Jean ThebergeDepartment of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.
Christopher AbbottDepartment of Psychiatry (CCA), University of New Mexico, Albuquerque, NM, USA.
Byron A MuellerDepartment of Psychiatry, University of Minnesota, Minneapolis, MN, USA.
Jiayu ChenTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Jing SuiTri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Tulay AdaliDepartment of CSEE, University of Maryland, Baltimore County, Baltimore, MD, USA.
Vince D CalhounWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Funding

Project 3P50MH136297 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Akira Sawa · 2024 to 2026
$12.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Redefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine LearningRF1MH123163 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V., THOMPSON, PAUL M · 2021 to 2021
$1.2M
NIBIB NIH HHS R01 EB015611NIMH NIH HHS P50 MH136297NIMH NIH HHS RF1 MH123163
6 · The paper itself

Abstract

Understanding white matter (WM) functional connectivity is crucial for unraveling brain function and dysfunction. In this study, we present a novel WM intrinsic connectivity network (ICN) template derived from over 100,000 fMRI scans, identifying 97 robust WM ICNs using spatially constrained independent component analysis (scICA). This WM template, combined with a previously identified gray matter (GM) ICN template from the same dataset, was applied to analyze a resting-state fMRI (rs-fMRI) dataset from the Bipolar-Schizophrenia Network on Intermediate Phenotypes 2 (BSNIP2; 590 subjects) and a task-based fMRI dataset from the MIND Clinical Imaging Consortium (MCIC; 75 subjects). Our analysis highlights distinct spatial maps for WM and GM ICNs, with WM ICNs showing higher frequency profiles. Visually modular structure within WM ICNs and interactions between WM and GM modules were identified. Task-based fMRI revealed event-related BOLD signals in WM ICNs, particularly within the corticospinal tract, lateralized to finger movement. Notable differences in static functional network connectivity (sFNC) matrices were observed between controls (HC) and schizophrenia (SZ) subjects in both WM and GM networks. This open-source WM NeuroMark template and automated pipeline offer a powerful tool for advancing WM connectivity research across diverse datasets.

Indexed as

NeuroMarkSchizophreniaSpatially constrained independent component analysisTaskWhite matter functional network connectivityWhite matter network

Identifiers

PMID41209086
PMCPMC12594490

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.