Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry: Toward Simulating Pharmacological and Clinical Neuroimaging Biomarkers at the Individual-Subject Level

Abstract

Despite advances of neuroimaging and clinical applications, a critical explanatory gap lies in understanding mechanisms by which synaptic-level perturbations may yield systems-level neuroimaging biomarkers. Another challenge is to understand individual variation in neuroimaging markers, to inform patient heterogeneity within and across diagnostic categories. One promising approach is to leverage biophysically-based computational models of large-scale brain dynamics, integrated with clinical and pharmacological neuroimaging.