Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using MRI Data: A Systematic Review and Diagnostic Meta-analysis.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 38538062

Abstract

BACKGROUND: Movement disorders such as Parkinson's disease are associated with structural and functional changes in specific brain regions. Advanced magnetic resonance imaging (MRI) techniques combined with machine learning (ML) are promising tools for identifying imaging biomarkers and patterns associated with these disorders.

Authors

  • Sadegh Ghaderi
    Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahdi Mohammadi
    Department of Electrical Engineering, Faculty of Engineering, Sharif University of Technology, Azadi Ave, Tehran, 11365-11155, Iran.
  • Fatemeh Sayehmiri
    Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Sana Mohammadi
    Department of Medical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Arian Tavasol
    Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Masoud Rezaei
    Medical Physics and Radiology Department, Faculty of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
  • Azadeh Ghalyanchi-Langeroudi
    Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

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