Publication Date:
2010-09-11
Description:
Group functional connectivity magnetic resonance imaging (fcMRI) studies have documented reliable changes in human functional brain maturity over development. Here we show that support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals' brain maturity across development. The use of only 5 minutes of resting-state fcMRI data from 238 scans of typically developing volunteers (ages 7 to 30 years) allowed prediction of individual brain maturity as a functional connectivity maturation index. The resultant functional maturation curve accounted for 55% of the sample variance and followed a nonlinear asymptotic growth curve shape. The greatest relative contribution to predicting individual brain maturity was made by the weakening of short-range functional connections between the adult brain's major functional networks.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3135376/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3135376/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dosenbach, Nico U F -- Nardos, Binyam -- Cohen, Alexander L -- Fair, Damien A -- Power, Jonathan D -- Church, Jessica A -- Nelson, Steven M -- Wig, Gagan S -- Vogel, Alecia C -- Lessov-Schlaggar, Christina N -- Barnes, Kelly Anne -- Dubis, Joseph W -- Feczko, Eric -- Coalson, Rebecca S -- Pruett, John R Jr -- Barch, Deanna M -- Petersen, Steven E -- Schlaggar, Bradley L -- DA027046/DA/NIDA NIH HHS/ -- EY16336/EY/NEI NIH HHS/ -- HD057076/HD/NICHD NIH HHS/ -- MH62130/MH/NIMH NIH HHS/ -- NS00169011/NS/NINDS NIH HHS/ -- NS053425/NS/NINDS NIH HHS/ -- NS32979/NS/NINDS NIH HHS/ -- NS41255/NS/NINDS NIH HHS/ -- NS46424/NS/NINDS NIH HHS/ -- NS51281/NS/NINDS NIH HHS/ -- NS55582/NS/NINDS NIH HHS/ -- R01 HD057076/HD/NICHD NIH HHS/ -- R01 HD057076-04/HD/NICHD NIH HHS/ -- New York, N.Y. -- Science. 2010 Sep 10;329(5997):1358-61. doi: 10.1126/science.1194144.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA. ndosenbach@wustl.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20829489" target="_blank"〉PubMed〈/a〉
Keywords:
Adolescent
;
Adult
;
Aging
;
Algorithms
;
Artificial Intelligence
;
Brain/*growth & development/*physiology
;
Brain Mapping
;
Cerebellum/growth & development/physiology
;
Child
;
Female
;
Frontal Lobe/growth & development/physiology
;
Humans
;
*Magnetic Resonance Imaging
;
Male
;
Multivariate Analysis
;
Neural Pathways
;
Occipital Lobe/growth & development/physiology
;
Young Adult
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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