Mechanistic modeling as an explanatory tool for clinical treatment of chronic catatonia.

ABSTRACT: Mathematical modeling of neural systems is an effective means to integrate complex information about the brain into a numerical tool that can help explain observations. However, the use of neural models to inform clinical decisions has been limited. In this study, we use a simple model of brain circuitry, the Wilson-Cowan model, to predict changes in a clinical measure for catatonia, the Bush-Francis Catatonia Rating Scale, for use in clinical treatment of schizophrenia. This computational tool can then be used to better understand mechanisms of action for pharmaceutical treatments, and to fine-tune dosage in individual cases. We present the conditions of clinical care for a residential patient cohort, and describe methods for synthesizing data to demonstrated the functioning of the model.

SUBMITTER: Roberts PD 

PROVIDER: S-EPMC9682077 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature