Transdiagnostic Brain Mapping in Developmental Disorders.

ABSTRACT: Childhood learning difficulties and developmental disorders are common, but progress toward understanding their underlying brain mechanisms has been slow. Structural neuroimaging, cognitive, and learning data were collected from 479 children (299 boys, ranging in age from 62 to 223 months), 337 of whom had been referred to the study on the basis of learning-related cognitive problems. Machine learning identified different cognitive profiles within the sample, and hold-out cross-validation showed that these profiles were significantly associated with children's learning ability. The same machine learning approach was applied to cortical morphology data to identify different brain profiles. Hold-out cross-validation demonstrated that these were significantly associated with children's cognit

SUBMITTER: Siugzdaite R 

PROVIDER: S-EPMC7139199 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature