Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks
Results of this case-control study reveal that the integration of normative modeling with semisupervised clustering provided both dimensional and categorical insights into ADHD heterogeneity, identifying 3 distinct ADHD biotypes with unique clinical-neural profiles that advance the understanding of ADHD's neurobiological complexity and lay the groundwork for personalized management.
Authors
- Qiuxing Chen
- Melissa P. DelBello (ORCID: https://orcid.org/0000-0003-1837-4126)
- Manpreet K. Singh (ORCID: https://orcid.org/0000-0002-4373-3293)
- Alex Fornito
- Yajing Long (ORCID: https://orcid.org/0000-0001-9702-7725)
- Yuehua Chen (ORCID: https://orcid.org/0009-0006-1343-7449)
- Ying Cao (ORCID: https://orcid.org/0000-0002-9901-1038)
- Isaac Z Pope
- Lei Li (ORCID: https://orcid.org/0009-0004-5945-3853)
- Nanfang Pan
- Ziyu Zhu
- Qiyong Gong
- Kun Qin
- Robert K. McNamara
Institutions
- Hubei University of Medicine (CN)
- Xiamen University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- West China Hospital of Sichuan University (CN)
- Taihe Hospital (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Monash University (AU)
- University of Cincinnati (US)
- University of California, Davis (US)
Publication Details
- Journal
- JAMA Psychiatry
- Published
- 2026-02-25
- DOI
- https://doi.org/10.1001/jamapsychiatry.2026.0001
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 0.00