# Personalized brain network models for assessing structure-function relationships

arXiv: https://arxiv.org/abs/1802.00473 · HTML: https://mlsanity.com/paper/1802.00473/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Feb 2018.

## Built on by (most cited first, 1 of 1)

- [Digital twin brain: a bridge between biological intelligence and artificial intelligence](https://mlsanity.com/paper/2308.01941/) (2023)

## Abstract (arXiv)

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.