Cited by 859Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsMental Health Research Topics

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A positive-negative mode of population covariation links brain connectivity, demographics and behavior

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Smith, Stephen M, Nichols, Thomas E, Vidaurre, Diego, Winkler, Anderson M, Behrens, Timothy E J, Glasser, Matthew F, Ugurbil, Kamil, Barch, Deanna M, Van Essen, David C, Miller, Karla L·2015·Nature Neuroscience

DOI 10.1038/nn.4125PMC PMC4625579

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Abstract

We investigated the relationship between individual subjects' functional connectomes and 280 behavioral and demographic measures in a single holistic multivariate analysis relating imaging to non-imaging data from 461 subjects in the Human Connectome Project. We identified one strong mode of population co-variation: subjects were predominantly spread along a single 'positive-negative' axis linking lifestyle, demographic and psychometric measures to each other and to a specific pattern of brain connectivity.

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Authors: Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L.
Affiliations: University of Oxford (GB)
University of Warwick (GB)
Washington University in St. Louis (US)
Corresponding author: Smith, Stephen M
ORCID: Smith, Stephen M
Nichols, Thomas E
Vidaurre, Diego
Winkler, Anderson M
Behrens, Timothy E J
Glasser, Matthew F
Barch, Deanna M
Miller, Karla L
Venue: Nature Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2015-09-28
Volume: 18
Issue: 11
Pages: 1565-1567
ISSN: 1097-6256 (ISSN-L)
1546-1726
DOI: 10.1038/nn.4125
PMC: PMC4625579
OpenAlex: W1828334443
Cited by: 859
References: 27
Citations by year: 2026: 44 · 2025: 70 · 2024: 73 · 2023: 58 · 2022: 73 · 2021: 100 · 2020: 162 · 2019: 82 · 2018: 81 · 2017: 70 · 2016: 41 · 2015: 5
FWCI: 39.51
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Nature Neuroscience (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
Open Repository and Bibliography (University of Liège) (submittedVersion, other-oa)
Funders: Wellcome Trust (104765/Z/14/Z, 098369/Z/12/Z, 098369, 104765, 100309/A/12/Z, 091509/Z/10/Z, 100309)
National Institutes of Health (5u54mh091657-05)
Engineering and Physical Sciences Research Council (EP/J005444/1)
National Institute of Mental Health (1U54 MH091657, U54-MH091657, F30MH097312)
National Institute of Neurological Disorders and Stroke (P30NS057091)
National Institute of Biomedical Imaging and Bioengineering (EB015894, P41EB015894)
National Center for Research Resources (P41RR008079, P41RR08079)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: brain functional connectivity, lifestyle, psychometric measures, behavioral measures, Human Connectome Project
MeSH terms: Adult, Behavior, Brain, Demography, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Cluster Analysis, Young Adult, Connectome

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