Learning evoked centrality dynamics in the schizophrenia brain: entropy, heterogeneity, and inflexibility of brain networks
The brain's functional connectome under task-driven conditions is not static. Characterizing these task-driven dynamics will provide new insight on the dysconnection syndrome that is schizophrenia. Centrality Dynamics provides novel characterization of task-induced changes in the brain's connectome and shows that in the schizophrenia brain, learning-evoked sub-network dynamics were (a) less responsive to learning evoked changes and (b) showed greater stochasticity.
Authors
- Vaibhav A. Diwadkar (ORCID: https://orcid.org/0000-0001-6458-6969)
- Dalal Khatib
- Clifford Abel (ORCID: https://orcid.org/0000-0002-2109-2309)
- Alireza Amirsadri
- John J. Kopchick (ORCID: https://orcid.org/0000-0003-4561-2177)
- Usha Rajan
- Caroline Zajac‐Benitez
- Jeffrey A. Stanley (ORCID: https://orcid.org/0000-0003-2355-480X)
- Patricia L. Thomas (ORCID: https://orcid.org/0000-0001-9866-5905)
- Luay Haddad
- Deepak Bhatt
Institutions
- Wayne State University (US)
- National Institute of Neurological Disorders and Stroke (US)
Publication Details
- Journal
- Journal of Psychiatry and Neuroscience
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1139/jpn-25-0063
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43