Jil Mona Meier

In a mouse whole-brain co-simulation with a spiking olivocerebellar network, cutting mossy-fiber input to cerebellar nuclei lowers M1-S1 gamma coherence, while removing Purkinje inhibition raises it.

This study shows that dopamine depletion in subcortical circuits drives widespread beta-band oscillatory disruptions in the mouse brain through cortico-subcortical resonance.

This paper uses computational modeling to explore how ketamine's dose-dependent NMDAR antagonism affects brain dynamics across its full dose spectrum.

The paper develops TVBase, a platform that projects biomedical knowledge onto a 3D brain atlas to support neuroimaging analysis and hypothesis generation.

The paper uses computational modeling to show that GABAergic deficits in simulations increase TEP amplitude, aligning with MDD characteristics.

The paper introduces TVB-O, a framework to improve reproducibility and comparability of brain network simulations by standardizing metadata and enabling executable code generation.

This study uses multilayer network analysis of MEG data to show that musicians have distinct modular brain organization in specific frequency bands compared to non-musicians.

The paper presents multimodal empirical data and simulation results from 50 healthy subjects using The Virtual Brain, annotated with openMINDS and BIDS standards.

This paper demonstrates a multiscale co-simulation approach combining a spiking basal ganglia model with a whole-brain mean-field model to predict the effects of virtual deep brain stimulation in Parkinson's disease.

The paper demonstrates that each individual's brain has a converging optimal working point in The Virtual Brain model that predicts fMRI and EEG features, with inter-individual differences driven by structural connectivity.