Five Work Packages, One Connectome
Each work package studies epilepsy through a different lens — together, they build a shared, individual epilepsy dis-connectome atlas.
WP1 — Multimodal Connectomics
Mapping how brain regions connect — and how epilepsy disrupts that wiring — using structural, EEG-informed functional and interleaved TMS-fMRI to define the epileptogenic and cognitive connectome.
Silvia Bonelli-Nauer · Gregor Kasprian
WP2 — Metabolic Imaging
Revealing metabolic and neurochemical signatures of epileptic networks with 7T MR spectroscopy and FDG-PET — processes invisible to standard imaging.
Gilbert Hangel · Tatjana Traub-Weidinger · Thomas Nakuz
WP3 — EEG Biomarkers
Using deep learning to detect high-frequency oscillations and infra-slow activity — non-invasive markers of where seizures begin and how they spread.
Ekaterina Pataraia · Tilman Kluge
WP4 — Genetics & Transcriptomics
Linking germline profiles and single-cell transcriptomic signatures to network biology, to uncover the molecular roots of epileptogenesis.
Daniela Lötsch-Gojo · Karl Rössler · Christian Dorfer
WP5 — Computational Modelling
Integrating every data stream into the EPICONN Atlas — an AI-driven decision-support tool for individual outcome prediction.
Roxane Licandro · Georg Langs
Core — Study & Data Core
Runs the prospective clinical study and manages, curates and shares data across all five work packages.
Zakia Khatun · Daniel Engler