Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood
Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism.
Authors
- Janet E. Lainhart (ORCID: https://orcid.org/0000-0003-3086-8217)
- Andrew L. Alexander (ORCID: https://orcid.org/0000-0003-2695-768X)
- Jace B. King (ORCID: https://orcid.org/0000-0002-0206-0475)
- Molly B. D. Prigge (ORCID: https://orcid.org/0000-0001-5715-4180)
- Brandon A. Zielinski
- Daniel Feldman (ORCID: https://orcid.org/0000-0003-1644-7504)
Institutions
- University of Wisconsin–Madison (US)
- University of Utah (US)
- University of Florida (US)
Publication Details
- Journal
- Molecular Autism
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1186/s13229-025-00657-1
- Citations
- 3
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- National Institutes of Health
- National Institute on Aging
- National Institute of Mental Health