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Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry.

Neda JahanshadPetra LenziniJanine Diane Bijsterbosch
Published in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology (2024)
Research into the brain basis of psychopathology is challenging due to the heterogeneity of psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis, multifaceted interactions with genetics and life experiences, and the highly multivariate nature of neural correlates. Therefore, increasingly larger datasets that measure more variables in larger cohorts are needed to gain insights. In this review, we present current "best practice" approaches for using existing databases, collecting and sharing new repositories for big data analyses, and future directions for big data in neuroimaging and psychiatry with an emphasis on contributing to collaborative efforts and the challenges of multi-study data analysis.
Keyphrases
  • big data
  • data analysis
  • artificial intelligence
  • machine learning
  • quality improvement
  • primary care
  • current status
  • healthcare
  • mental health
  • white matter
  • deep learning
  • multiple sclerosis
  • brain injury