Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning
The findings of this study underscore the utility of MRI and ML algorithms in enhancing the diagnostic process for schizophrenia. Furthermore, these methods hold promise for detecting both brain-related abnormalities and cognitive impairments associated with this disorder.
Authors
- Reza Rostami (ORCID: https://orcid.org/0000-0001-9318-108X)
- Reza Shalbaf (ORCID: https://orcid.org/0000-0002-1657-3802)
- Hosna Tavakoli (ORCID: https://orcid.org/0000-0002-9129-087X)
- Mohammad‐Reza Nazem‐Zadeh
Institutions
- University of Tehran (IR)
- Institute for Cognitive Science Studies (IR)
- Monash University (AU)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1002/brb3.70219
- Citations
- 7
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- National Brain Mapping Laboratory