Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning.

Journal: Brain and behavior
PMID: 39740776

Abstract

PURPOSE: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.

Authors

  • Hosna Tavakoli
    Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
  • Reza Rostami
    School of Psychology and Education, University of Tehran, Tehran, Iran.
  • Reza Shalbaf
    Institute for Cognitive Science Studies, Tehran, Iran.
  • Mohammad-Reza Nazem-Zadeh
    Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.

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