Inferring trajectories of psychotic disorders using dynamic causal modeling
Introduction: Illness course plays a crucial role in delineating psychiatric disorders. However, existing nosologies consider only its most basic features (e.g., symptom sequence, duration). We developed a Dynamic Causal Model (DCM) that characterizes course patterns more fully using dense timeserie...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2023-08-01
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| Series: | Computational Psychiatry |
| Subjects: | |
| Online Access: | https://account.cpsyjournal.org/index.php/up-j-cp/article/view/94 |