Work

Faculty Opinions recommendation of Prediction of individual brain maturity using fMRI.

Year: 2011

Type: peer-review

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.

Source: Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature

DOI: 10.3410/f.9424956.10062054

Authors: Jay Giedd, Rhoshel Lenroot

Institutions: National Institutes of Health, National Institute of Mental Health, Neuroscience Research Australia

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: American Hearing Research Foundation, National Institutes of Health, National Institute of Neurological Disorders and Stroke, Eunice Kennedy Shriver National Institute of Child Health and Human Development