ArticleHuman brain mapping2023
Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets.
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Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
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61citing papers in PubMed, 1 pooled it
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Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aberrant cortical-subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses.Frontiers in neuroimaging · 2025Pooled it
- A multi-modal approach for the treatment of non-fluent/agrammatic variant of Primary Progressive Aphasia.Brain communications · 2025Trial
- Mapping the psychosis spectrum - imaging neurosubtypes from multiscale functional network connectivity.Molecular psychiatry · 2026Article
- Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC).bioRxiv : the preprint server for biology · 2026Article
- Spatially constrained ICA from a language task enables sensorimotor network extraction in patients with space-occupying brain lesions.Brain imaging and behavior · 2026Article
- Group Joint ICA (gjICA): A Method for Multimodal Fusion of Concurrent EEG and fMRI Data.Human brain mapping · 2026Article
- Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity.bioRxiv : the preprint server for biology · 2026Article
- Lag-adjusted functional network connectivity reveals sensorimotor and higher cognitive network alterations in depression.Research square · 2026Article
- Dynamic Estimation of Spatially Interactive Networks (DESINE) Reveals Constrained Brain Repertoire in Schizophrenia Linked to Clinical and Cognitive Symptoms.bioRxiv : the preprint server for biology · 2026Article
- Explicitly nonlinear fMRI networks reveal hidden trajectories of infant brain development.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal complexity in the psychotic brain.Molecular psychiatry · 2026Article
- Investigating White Matter Functional Network Connectivity Across the Alzheimer's Disease Spectrum Using Resting-State fMRI.bioRxiv : the preprint server for biology · 2026Article
- Deciphering multiway multiscale brain network connectivity from birth to 6 months.Communications biology · 2026Article
- Fidelity of Spatiotemporal Patterns of Brain Activity Across Sampling Rate, Scan Duration, and Frequency Content.bioRxiv : the preprint server for biology · 2026Article
- Investigating white matter functional network connectivity across the Alzheimer's disease spectrum using resting-state fMRI.Frontiers in neuroimaging · 2026Article
- Cortical Network Activity Associated With Different Types of Word Recognition Errors by Older Adults.Neurobiology of language (Cambridge, Mass.) · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- Spatiotemporal Network Dynamics Reveal Alzheimer's Disease Progression.bioRxiv : the preprint server for biology · 2025Article
- Topologically Optimized Intrinsic Brain Networks.Human brain mapping · 2025Article
- Cellular and molecular associations with intrinsic brain organization.Nature communications · 2025Article
1 more citing papers are in PubMed but not listed here.
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Authors and funding
37 authors.
A IrajiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-0605-593X
Z FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
A FaghiriTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1807-6815
M DudaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-2369-2225
J ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
S RachakondaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
T DeRamusTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-5774-2297
P KochunovMaryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, USA.ORCID 0000-0003-3656-4281
B M AdhikariMaryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, USA.
A BelgerDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA.
J M FordDepartment of Psychiatry, University of California San Francisco, San Francisco, California, USA.
D H MathalonDepartment of Psychiatry, University of California San Francisco, San Francisco, California, USA.
G D PearlsonDepartments of Psychiatry and Neuroscience, School of Medicine, Yale University, New Haven, Connecticut, USA.
S G PotkinDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
A PredaDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
J A TurnerDepartment of Psychiatry and Behavioral Health, Ohio State University Medical Center in Columbus, Columbus, Ohio, USA.
T G M van ErpClinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
J R BustilloDepartment of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico, USA.
K YangDepartment of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
K IshizukaDepartment of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
A FariaDepartment of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-1673-002X
A SawaDepartments of Psychiatry, Neuroscience, Biomedical Engineering, Pharmacology, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
K HutchisonDepartment of Psychology, University of Colorado, Boulder, Colorado, USA.
E A OsuchDepartment of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.
J ThebergeDepartment of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.ORCID 0000-0001-7578-4469
C AbbottDepartment of Psychiatry (CCA), University of New Mexico, Albuquerque, New Mexico, USA.
B A MuellerDepartment of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA.
D ZhiThe State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
C ZhuoTianjin Mental Health Center, Nankai University Affiliated Anding Hospital, Tianjin, China.ORCID 0000-0002-3793-550X
S LiuThe Department of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China.
Y XuThe Department of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China.
M SalmanTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
J LiuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-1724-7523
Y DuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-0079-8177
J SuiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
T AdaliDepartment of CSEE, University of Maryland Baltimore County, Baltimore, Maryland, USA.
V D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Funding
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0MYale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9MWU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8MPEDIATRIC AIDS CLINICAL TRIALS GROUP--COORDINATE/OPERATEU01AI041089 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI SPECTOR, STEPHEN A · 1997 to 2005
$71.9MSmartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI CHENGJIE XIONG · 1985 to 2026
$69.5MABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MThe natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5MWashington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4MMapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7MAdolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MNCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002345NCRR NIH HHS U24 RR021992NCRR NIH HHS U24 RR025736NIAID NIH HHS U01 AI041089NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS R01 AG043434NIA NIH HHS U01 AG024904NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB009352NIBIB NIH HHS R01 EB015611NIBIB NIH HHS R01 EB020407NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIH HHS S10 OD023696NIMH NIH HHS K23 MH087770NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH123610NIMH NIH HHS R03 MH096321NIMH NIH HHS RF1 MH123163NIMH NIH HHS U54 MH091657
Abstract
Despite the known benefits of data-driven approaches, the lack of approaches for identifying functional neuroimaging patterns that capture both individual variations and inter-subject correspondence limits the clinical utility of rsfMRI and its application to single-subject analyses. Here, using rsfMRI data from over 100k individuals across private and public datasets, we identify replicable multi-spatial-scale canonical intrinsic connectivity network (ICN) templates via the use of multi-model-order independent component analysis (ICA). We also study the feasibility of estimating subject-specific ICNs via spatially constrained ICA. The results show that the subject-level ICN estimations vary as a function of the ICN itself, the data length, and the spatial resolution. In general, large-scale ICNs require less data to achieve specific levels of (within- and between-subject) spatial similarity with their templates. Importantly, increasing data length can reduce an ICN's subject-level specificity, suggesting longer scans may not always be desirable. We also find a positive linear relationship between data length and spatial smoothness (possibly due to averaging over intrinsic dynamics), suggesting studies examining optimized data length should consider spatial smoothness. Finally, consistency in spatial similarity between ICNs estimated using the full data and subsets across different data lengths suggests lower within-subject spatial similarity in shorter data is not wholly defined by lower reliability in ICN estimates, but may be an indication of meaningful brain dynamics which average out as data length increases.
Indexed as
Brain MappingMagnetic Resonance ImagingBrainHumansNerve NetReproducibility of Resultsfunctional connectivity (FC)functional templatesindependent component analysis (ICA)intrinsic connectivity networks (ICNs)
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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.