Unsupervised machine learning for identifying attention-deficit/hyperactivity disorder subtypes based on cognitive function and their implications for brain structure
These results indicate the presence of anomalies in the lateral orbitofrontal cortex associated with language deficits in the ADHD-C type. Subtype specificity may explain previous inconsistencies in brain structural anomalies reported in ADHD.
Authors
- Yoshifumi Mizuno (ORCID: https://orcid.org/0000-0003-2209-352X)
- Masatoshi Yamashita (ORCID: https://orcid.org/0000-0002-8037-7275)
- Qiulu Shou
Institutions
- University of Fukui (JP)
- University of Fukui Hospital (JP)
Publication Details
- Journal
- Psychological Medicine
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1017/s0033291724002368
- Citations
- 3
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Kawano Masanori Memorial Public Interest Incorporated Foundation
- Taiju Life Social Welfare Foundation
- University of Fukui
- National Institutes of Health
- Japan Society for the Promotion of Science
- National Institute of Mental Health