Borja Mercadal

cyto7 is a vertex-level cortical-type atlas of the human cortex that improves upon area-level maps by capturing finer type boundaries and validating its structure with multimodal data.

This paper introduces a variational autoencoder for detecting seizure onset phases in SEEG data, achieving high recall and interpretable latent features.

This paper develops a laminar neural mass model to simulate Alzheimer's disease progression, showing that PV interneuron dysfunction drives early hyperexcitability and later hypoactivity through electrophysiological biomarkers.

This paper develops personalized whole-brain models of seizure propagation using multimodal clinical data to simulate and evaluate individualized therapeutic strategies.

This paper introduces a biologically grounded model that explains both cooperative and competitive interactions in the brain using laminar-specific cross-frequency coupling, validated on fMRI data from 60 subjects.

The paper evaluates biophysical models to characterize electric fields from intracranial electrodes in DRE patients, finding that electrode geometry and tissue properties influence field distribution.

This paper introduces a physical neural mass model framework to infer oscillatory generator locations from laminar electrophysiological recordings in macaque monkeys.

The paper develops a framework linking neural mass models with physical models to simulate SEEG recordings more accurately by incorporating current source density and volume conductor effects.

This paper introduces a laminar neural mass model that realistically reproduces SEEG recordings during epileptic seizures and demonstrates its ability to capture key electrophysiological features.