Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease
Functional brain connectivity measured with functional magnetic resonance imaging (fMRI) is a popular technique for investigating neural organization in both healthy subjects and patients with mental illness. Despite a rapidly growing body of literature, however, functional connectivity research has...
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| Format: | Online |
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Les Laboratoires Servier
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067145/ |
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pubmed-50671452016-10-18 Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease Finn, Emily S. Todd Constable, R. Basic Research Functional brain connectivity measured with functional magnetic resonance imaging (fMRI) is a popular technique for investigating neural organization in both healthy subjects and patients with mental illness. Despite a rapidly growing body of literature, however, functional connectivity research has yet to deliver biomarkers that can aid psychiatric diagnosis or prognosis at the single-subject level. One impediment to developing such practical tools has been uncertainty regarding the ratio of intra- to interindividual variability in functional connectivity; in other words, how much variance is state- versus trait-related. Here, we review recent evidence that functional connectivity profiles are both reliable within subjects and unique across subjects, and that features of these profiles relate to behavioral phenotypes. Together, these results suggest the potential to discover reliable correlates of present and future illness and/or response to treatment in the strength of an individual's functional brain connections. Ultimately, this work could help develop personalized approaches to psychiatric illness. Les Laboratoires Servier 2016-09 /pmc/articles/PMC5067145/ /pubmed/27757062 Text en Copyright: © 2016 Institut la Conference Hippocrate - Servier Research Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Finn, Emily S. Todd Constable, R. |
| spellingShingle |
Finn, Emily S. Todd Constable, R. Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| author_facet |
Finn, Emily S. Todd Constable, R. |
| author_sort |
Finn, Emily S. |
| title |
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| title_short |
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| title_full |
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| title_fullStr |
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| title_full_unstemmed |
Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| title_sort |
individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease |
| description |
Functional brain connectivity measured with functional magnetic resonance imaging (fMRI) is a popular technique for investigating neural organization in both healthy subjects and patients with mental illness. Despite a rapidly growing body of literature, however, functional connectivity research has yet to deliver biomarkers that can aid psychiatric diagnosis or prognosis at the single-subject level. One impediment to developing such practical tools has been uncertainty regarding the ratio of intra- to interindividual variability in functional connectivity; in other words, how much variance is state- versus trait-related. Here, we review recent evidence that functional connectivity profiles are both reliable within subjects and unique across subjects, and that features of these profiles relate to behavioral phenotypes. Together, these results suggest the potential to discover reliable correlates of present and future illness and/or response to treatment in the strength of an individual's functional brain connections. Ultimately, this work could help develop personalized approaches to psychiatric illness. |
| publisher |
Les Laboratoires Servier |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067145/ |
| _version_ |
1613686830838841344 |