BrainStim – Predicting stimulation strategies to rebalance disrupted interactions between brain areas

Different types of brain stimulation strategies – including both pharmacological and electromagnetic – have shown to offer therapeutic effects for neuropsychiatric disorders. However, the outcome of these interventions remains sub-optimal, mainly because their full mechanisms of action remain unclear.

The BRAINSTIM project aims to improve the predictive power of stimulation outcomes in brain network models by validating the simulation results with in vivo experiments in rodents. Indeed, functional networks analogous to the ones detected in humans have been consistently detected in rats. Therefore, we plan to extend existing brain network models to rat data, which will allow for an empirical assessment of the impact of different stimulation strategies on the functional connectivity between brain areas. These experiments will provide invaluable insights for the optimization and validation of computational models and assess improvements in behavioural symptoms.

Overall, the BRAINSTIM project will deliver optimized in silico predictions of brain stimulation strategies, allowing for a better understanding of the modulatory effect of different interventions in the functional connectivity between brain areas.

We expect these results to bring novel avenues in the design of more effective treatments for mental disorders associated with patho-connectivity.

Funding Agency

LaCaixa Foundation and Banco BPI – 2022 Postdoctoral Junior Leader – Retaining

Project Reference


Project Members

Main Project Outcomes

S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.

“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.

Main Project Outcomes

Start Mid-2022