Personalized brain network models for assessing structure-function relationships

TL;DR

This paper reviews the use of personalized brain network models to understand the relationship between brain structure and function, enabling virtual experiments and aiding clinical interventions like epilepsy surgery.

Contribution

It introduces a comprehensive framework for constructing personalized brain models and demonstrates their application in studying structure-function relationships and clinical outcomes.

Findings

Models can simulate effects of local stimulation

Personalized models improve understanding of structure-function links

Applications in epilepsy surgery planning

Abstract

Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information derived from subject data. Here, we discuss recent work using personalized brain network models to study structure-function relationships in human brains. We describe the steps necessary to build such models and show how this computational approach can provide previously unobtainable information through the ability to perform virtual experiments. Finally, we present examples of how personalized brain network models can be used to gain insight into the effects of local stimulation and improve surgical outcomes in epilepsy.