Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging

We review recent advances in using mathematical models of the relationship between the brain structure and function that capture features of brain dynamics. We argue the need for models that can jointly capture temporal, spatial, and spectral features of brain functional activity. We present recent work on spectral graph theory based models that can accurately capture spectral as well as spatial patterns across multiple frequencies in MEG reconstructions.

Automated summary

This article reviews recent advancements in using mathematical models to understand the relationship between brain structure and function, focusing on capturing various dynamic features. The need for models that can capture temporal, spatial, and spectral features of brain activity is emphasized. The article also presents recent work on spectral graph theory based models that accurately capture spectral and spatial patterns across multiple frequencies in MEG reconstructions.