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Inferring Trajectories of Psychotic Disorders Using Dynamic Causal Modeling.

Jingwen JinPeter ZeidmanKarl John FristonRoman Kotov
Published in: Computational psychiatry (Cambridge, Mass.) (2023)
DCM has been widely used in neuroscience to infer latent neuronal processes from neuroimaging data. Our findings highlight the potential of adopting this methodology for modeling symptom trajectories to explicate nosologic entities, temporal patterns that define them, and facilitate personalized treatment.
Keyphrases
  • depressive symptoms
  • bipolar disorder
  • electronic health record
  • big data
  • cerebral ischemia