Researchers with the Translational Research in Neuroimaging and Data Science (TReNDs) Center at Georgia State have identified important new methods for accurately identifying possible biomarkers in adolescent brains that can reliably predict cognitive developments and psychiatric issues.
A new study, published in Nature Mental Health, represents the first large-scale analysis of its kind in which researchers analyzed functional network connectivity (FNC) across scans and identified associations with a diverse range of health measures in children. Researchers believe that inferences about early cognitive and psychiatric behaviors in children may be made using these intra-subject variabilities as a useful biomarker.
Researchers studied four scans from more than 9,000 subjects ages 9 to 11.
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