Barriers and Solutions to the Adoption of Clinical Tools for Computational Psychiatry
Computational psychiatry is a field aimed at developing formal models of information processing in the human brain, and how alterations in this processing can lead to clinical phenomena. Despite significant progress in the development of tasks and how to model them, computational psychiatry methodol...
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Zusammenfassung: | Computational psychiatry is a field aimed at developing formal models of
information processing in the human brain, and how alterations in this
processing can lead to clinical phenomena. Despite significant progress in the
development of tasks and how to model them, computational psychiatry
methodologies have yet to be incorporated into large-scale research projects or
into clinical practice. In this viewpoint, we explore some of the barriers to
incorporation of computational psychiatry tasks and models into wider
mainstream research directions. These barriers include the time required for
participants to complete tasks, test-retest reliability, limited ecological
validity, as well as practical concerns, such as lack of computational
expertise and the expense and large sample sizes traditionally required to
validate tasks and models. We then discuss solutions, such as the redesigning
of tasks with a view toward feasibility, and the integration of tasks into more
ecologically valid and standardized game platforms that can be more easily
disseminated. Finally, we provide an example of how one task, the conditioned
hallucinations task, might be translated into such a game. It is our hope that
interest in the creation of more accessible and feasible computational tasks
will help computational methods make more positive impacts on research as well
as clinical practice. |
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DOI: | 10.48550/arxiv.2301.04570 |