Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses
The MEM provides unique information unavailable from the other two methods, namely nodal activation/deactivation patterns, basin transitions, and energy. Network-level results were better characterized in the MEM analysis as attenuated inter-network connectivity with reduced stability of DMN and DAN in psychosis that may underlie impaired working memory and psychopathology severity.
Authors
- Jyotika Bahuguna (ORCID: https://orcid.org/0000-0002-2858-5325)
- Konasale M. Prasad (ORCID: https://orcid.org/0000-0003-0245-1393)
- Nicholas Theis (ORCID: https://orcid.org/0000-0002-5918-767X)
- Joshua Cape (ORCID: https://orcid.org/0000-0002-1471-1650)
- Satish Iyengar
- Bowei Ouyang
- Jonathan Rubin
- Ella O’Rourke
Institutions
- University of Wisconsin–Madison (US)
- University of Pittsburgh (US)
- Laboratoire de Neurosciences Cognitives et Adaptatives (FR)
- Laboratoire de Neurosciences Cognitives (FR)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-07
- DOI
- https://doi.org/10.64898/2026.01.06.697919
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00