Evidence for similar structural brain anomalies in youth and adult attention-deficit/hyperactivity disorder: a machine learning analysis

Zhang-James, Yanli; Helminen, Emily C; Liu, Jinru; Franke, Barbara; Hoogman, Martine; Faraone, Stephen V; et al; Brandeis, Daniel; Brem, Silvia; Walitza, Susanne

doi:10.5167/uzh-199103

Citations

Citation copied

Zhang-James, Y., Helminen, E. C., Liu, J., Franke, B., Hoogman, M., Faraone, S. V., et al, Brandeis, D., Brem, S., & Walitza, S. (2021). Evidence for similar structural brain anomalies in youth and adult attention-deficit/hyperactivity disorder: a machine learning analysis. Translational Psychiatry, 11, 82. https://doi.org/10.1038/s41398-021-01201-4

Abstract

Attention-deficit/hyperactivity disorder (ADHD) affects 5% of children world-wide. Of these, two-thirds continue to have impairing symptoms of ADHD into adulthood. Although a large literature implicates structural brain differences of the disorder, it is not clear if adults with ADHD have similar neuroanatomical differences as those seen in children with recent reports from the large ENIGMA-ADHD consortium finding structural differences for children but not for adults. This paper uses deep learning neural network classification models