Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis
Cortical thickness and curvature emerge as potential biomarkers that can advance understanding of neurodevelopmental conditions and disentangle heterogeneity across diagnostic groups. These findings highlight the value of harmonized, large-scale, standardized analyses for resolving inconsistencies in the literature.
Authors
- Audrey Houghton (ORCID: https://orcid.org/0000-0001-9426-7969)
- Kimberly B. Weldon (ORCID: https://orcid.org/0000-0003-4349-9916)
- Andrew J. Stier (ORCID: https://orcid.org/0000-0002-2863-5978)
- Eric Feczko (ORCID: https://orcid.org/0000-0003-1337-5517)
- Lucille A. Moore (ORCID: https://orcid.org/0000-0002-7665-2713)
- Steve Nelson (ORCID: https://orcid.org/0000-0003-0303-0160)
- Damien A. Fair (ORCID: https://orcid.org/0000-0001-8602-393X)
- Brenden Tervo‐Clemmens (ORCID: https://orcid.org/0000-0002-9557-1126)
- R. E. McCollum (ORCID: https://orcid.org/0009-0002-3730-9995)
- Amy Esler (ORCID: https://orcid.org/0000-0001-7087-1432)
- Óscar Miranda-Domínguez (ORCID: https://orcid.org/0000-0002-3622-0166)
- Thomas Madison (ORCID: https://orcid.org/0000-0003-3030-6580)
- Robert Hermosillo (ORCID: https://orcid.org/0000-0003-2959-8483)
- Jacob T. Lundquist (ORCID: https://orcid.org/0000-0001-9573-1954)
- Begim Fayzullobekova (ORCID: https://orcid.org/0009-0000-8014-4108)
- Maryam Mahmoudi
- Michael Anderson
Institutions
- University of Minnesota (US)
- Allen Institute for Brain Science (US)
- Minnesota Department of Education (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-06
- DOI
- https://doi.org/10.64898/2026.01.05.697782
- Citations
- 1
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 29.71
Funders
- Oregon Health and Science University
- Child Mind Institute
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering