A positive-negative mode of population covariation links brain connectivity, demographics and behavior
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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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A 'positive-negative' axis of brain-behavior covariation describes a similar connectivity spectrum, distinguishing the DMN from sensory/motor regions.
“Along those lines, a 'positive-negative' axis of brain-behavior covariation describes a similar connectivity spectrum, distinguishing the DMN from sensory/motor regions [63].”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [63]
Precedent exists for using PCA to extract network-level patterns from high-dimensional neural data, including fMRI, EEG, and LLM embeddings.
“Precedent exists for using PCA to extract network-level patterns from high-dimensional neural data, including fMRI (Smith et al., 2015), EEG (Blankertz et al., 2011), and even LLM embeddings (Ethayarajh, 2019).”
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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
- Venue
- Nature Neuroscience
- Published
- 2015-09-28
- Volume
- 18
- Issue
- 11
- Pages
- 1565-1567
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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