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A positive-negative mode of population covariation links brain connectivity, demographics and behavior
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 popula...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625579/ https://www.ncbi.nlm.nih.gov/pubmed/26414616 http://dx.doi.org/10.1038/nn.4125 |
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author | Smith, Stephen Nichols, Thomas Vidaurre, Diego Winkler, Anderson Behrens, Timothy Glasser, Matthew Ugurbil, Kamil Barch, Deanna Van Essen, David Miller, Karla |
author_facet | Smith, Stephen Nichols, Thomas Vidaurre, Diego Winkler, Anderson Behrens, Timothy Glasser, Matthew Ugurbil, Kamil Barch, Deanna Van Essen, David Miller, Karla |
author_sort | Smith, Stephen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4625579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-46255792016-05-01 A positive-negative mode of population covariation links brain connectivity, demographics and behavior Smith, Stephen Nichols, Thomas Vidaurre, Diego Winkler, Anderson Behrens, Timothy Glasser, Matthew Ugurbil, Kamil Barch, Deanna Van Essen, David Miller, Karla Nat Neurosci Article 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. 2015-09-28 2015-11 /pmc/articles/PMC4625579/ /pubmed/26414616 http://dx.doi.org/10.1038/nn.4125 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Smith, Stephen Nichols, Thomas Vidaurre, Diego Winkler, Anderson Behrens, Timothy Glasser, Matthew Ugurbil, Kamil Barch, Deanna Van Essen, David Miller, Karla A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title | A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title_full | A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title_fullStr | A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title_full_unstemmed | A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title_short | A positive-negative mode of population covariation links brain connectivity, demographics and behavior |
title_sort | positive-negative mode of population covariation links brain connectivity, demographics and behavior |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625579/ https://www.ncbi.nlm.nih.gov/pubmed/26414616 http://dx.doi.org/10.1038/nn.4125 |
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