Ethological computational psychiatry: Challenges and opportunities

Curr Opin Neurobiol. 2024 Apr 30;86:102881. doi: 10.1016/j.conb.2024.102881. Online ahead of print.ABSTRACTStudying the intricacies of individual subjects' moods and cognitive processing over extended periods of time presents a formidable challenge in medicine. While much of systems neuroscience appropriately focuses on the link between neural circuit functions and well-constrained behaviors over short timescales (e.g., trials, hours), many mental health conditions involve complex interactions of mood and cognition that are non-stationary across behavioral contexts and evolve over extended timescales. Here, we discuss opportunities, challenges, and possible future directions in computational psychiatry to quantify non-stationary continuously monitored behaviors. We suggest that this exploratory effort may contribute to a more precision-based approach to treating mental disorders and facilitate a more robust reverse translation across animal species. We conclude with ethical considerations for any field that aims to bridge artificial intelligence and patient monitoring.PMID:38696972 | DOI:10.1016/j.conb.2024.102881
Source: Current Opinion in Neurobiology - Category: Neurology Authors: Source Type: research