Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder.

Journal: Journal of affective disorders
PMID: 39278469

Abstract

BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric mood disorder that is solely diagnosed based on clinical symptoms. These symptoms often overlap with other psychiatric disorders. Efforts to use machine learning (ML) to create predictive models for BD based on data from brain imaging are expanding but have often been limited using only a single modality and the exclusion of the cerebellum, which may be relevant in BD.

Authors

  • Lubin R Deng
    Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
  • Gail I S Harmata
    Department of Radiology, University of Iowa, Iowa City, IA, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
  • Ercole John Barsotti
    Department of Epidemiology, University of Iowa, Iowa City, IA, USA.
  • Aislinn J Williams
    Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
  • Gary E Christensen
  • Michelle W Voss
    Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA.
  • Arshaq Saleem
    Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
  • Adriana M Rivera-Dompenciel
    Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA.
  • Jenny Gringer Richards
    Department of Radiology, University of Iowa, Iowa City, IA, USA.
  • Leela Sathyaputri
    Department of Radiology, University of Iowa, Iowa City, IA, USA.
  • Merry Mani
    Department of Radiology, University of Iowa, Iowa City, Iowa, USA.
  • Hesam Abdolmotalleby
    University of Iowa, USA.
  • Jess G Fiedorowicz
    The Ottawa Hospital and University of Ottawa, Ottawa, ON, Canada.
  • Jia Xu
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (Nanjing Tech), 30 South Puzhu Road, Nanjing, 211816, P.R. China.
  • Joseph J Shaffer
    Department of Biosciences, Kansas City University, Kansas City, MO, USA.
  • John A Wemmie
    Department of Psychiatry, University of Iowa, Iowa City, IA, USA; Department of Veterans Affairs Medical Center, Iowa City, IA, USA.
  • Vincent A Magnotta
    Department of Radiology, University of Iowa, Iowa City, IA, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA. Electronic address: vincent-magnotta@uiowa.edu.

Keywords

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