Prediction of individual brain maturity using fMRI

Nico U.F. Dosenbach; Binyam Nardos; Alexander L. Cohen; Damien A. Fair; Jonathan D. Power; Jessica A. Church; Steven M. Nelson; Gagan S. Wig; Alecia C. Vogel; Christina N. Lessov-Schlaggar; Kelly Anne Barnes; Joseph W. Dubis; Eric Feczko; Rebecca S. Coalson; John R. Pruett; Deanna M. Barch; Steven E. Petersen; Bradley L. Schlaggar

doi:10.1126/science.1194144

Prediction of individual brain maturity using fMRI

Nico U.F. Dosenbach, Binyam Nardos, Alexander L. Cohen, Damien A. Fair, Jonathan D. Power, Jessica A. Church, Steven M. Nelson, Gagan S. Wig, Alecia C. Vogel, Christina N. Lessov-Schlaggar, Kelly Anne Barnes, Joseph W. Dubis, Eric Feczko, Rebecca S. Coalson, John R. Pruett, Deanna M. Barch, Steven E. Petersen, Bradley L. Schlaggar

Research output: Contribution to journal › Article › peer-review

1708 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	1358-1361
Number of pages	4
Journal	Science
Volume	329
Issue number	5997
DOIs	https://doi.org/10.1126/science.1194144
State	Published - Sep 10 2010

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Dosenbach, N. U. F., Nardos, B., Cohen, A. L., Fair, D. A., Power, J. D., Church, J. A., Nelson, S. M., Wig, G. S., Vogel, A. C., Lessov-Schlaggar, C. N., Barnes, K. A., Dubis, J. W., Feczko, E., Coalson, R. S., Pruett, J. R., Barch, D. M., Petersen, S. E., & Schlaggar, B. L. (2010). Prediction of individual brain maturity using fMRI. Science, 329(5997), 1358-1361. https://doi.org/10.1126/science.1194144

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title = "Prediction of individual brain maturity using fMRI",

abstract = "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.",

author = "Dosenbach, {Nico U.F.} and Binyam Nardos and Cohen, {Alexander L.} and Fair, {Damien A.} and Power, {Jonathan D.} and Church, {Jessica A.} and Nelson, {Steven M.} and Wig, {Gagan S.} and Vogel, {Alecia C.} and Lessov-Schlaggar, {Christina N.} and Barnes, {Kelly Anne} and Dubis, {Joseph W.} and Eric Feczko and Coalson, {Rebecca S.} and Pruett, {John R.} and Barch, {Deanna M.} and Petersen, {Steven E.} and Schlaggar, {Bradley L.}",

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doi = "10.1126/science.1194144",

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AU - Dosenbach, Nico U.F.

AU - Nardos, Binyam

AU - Cohen, Alexander L.

AU - Fair, Damien A.

AU - Power, Jonathan D.

AU - Church, Jessica A.

AU - Nelson, Steven M.

AU - Wig, Gagan S.

AU - Vogel, Alecia C.

AU - Lessov-Schlaggar, Christina N.

AU - Barnes, Kelly Anne

AU - Dubis, Joseph W.

AU - Feczko, Eric

AU - Coalson, Rebecca S.

AU - Pruett, John R.

AU - Barch, Deanna M.

AU - Petersen, Steven E.

AU - Schlaggar, Bradley L.

PY - 2010/9/10

Y1 - 2010/9/10

N2 - 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.

AB - 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.

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SN - 0036-8075

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SP - 1358

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JO - Science

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Prediction of individual brain maturity using fMRI

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