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A positive-negative mode of population covariation links brain connectivity, demographics and behavior
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
DOI
- https://doi.org/10.1038/nn.4125
Final published version
- Stephen M. Smith, University of Oxford ,
- Thomas E. Nichols, The University of Warwick ,
- Diego Vidaurre
- Anderson M. Winkler, University of Oxford ,
- Timothy E.J. Behrens, University of Oxford ,
- Matthew F. Glasser, Washington University St. Louis ,
- Kamil Ugurbil, University of Minnesota ,
- Deanna M. Barch, Washington University St. Louis ,
- David C. Van Essen, Washington University St. Louis ,
- Karla L. Miller, University of Oxford
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.
| Original language | English |
|---|---|
| Journal | Nature Neuroscience |
| Volume | 18 |
| Issue | 11 |
| Pages (from-to) | 1565-1567 |
| Number of pages | 3 |
| ISSN | 1097-6256 |
| DOIs | |
| Publication status | Published - 1 Nov 2015 |
| Externally published | Yes |
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ID: 180865522