Multidimensional brain-age prediction reveals altered brain developmental trajectory in psychiatric disorders.

Niu, Xin; Taylor, Alexei; Shinohara, Russell T; Kounios, John; Zhang, Fengqing

Niu, Xin; Taylor, Alexei; Shinohara, Russell T; Kounios, John; Zhang, Fengqing.

Affiliation

Niu X; Department of Psychology, Drexel University, Philadelphia, PA 19104, USA.
Taylor A; Department of Psychology, Drexel University, Philadelphia, PA 19104, USA.
Shinohara RT; Perelman School of Medicine, Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kounios J; Department of Biostatistics, Epidemiology and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Zhang F; Department of Psychology, Drexel University, Philadelphia, PA 19104, USA.

Cereb Cortex ; 32(22): 5036-5049, 2022 11 09.

Article in En | MEDLINE | ID: mdl-35094075

Subject(s)

Magnetic Resonance Imaging; Mental Disorders; Humans; Magnetic Resonance Imaging/methods; Brain/diagnostic imaging; Brain/pathology; Mental Disorders/diagnostic imaging; Mental Disorders/pathology; Machine Learning

Key words

brain development; brain-age prediction; machine learning; multimodal neuroimaging; psychiatric disorders

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Full text: 1 Database: MEDLINE Main subject: Magnetic Resonance Imaging / Mental Disorders Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Cereb Cortex Journal subject: CEREBRO Year: 2022 Type: Article Affiliation country: United States

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