BIO
Dr. Huifang Wang is a neuroscientist at the institute of Neurosciences of Systems (INS), part of Aix-Marseille University and INSERM, France, led by Dr. Viktor Jirsa. Her current research focuses on personalized whole-brain modelling (virtual brain twins) ranging from basic science to clinical use. Their team has developed a virtual epileptic patient pipeline aimed at improving the diagnosis and treatment of epilepsy. Currently, they are in the journey of developing virtual brain twins for the diagnosis, treatment, and prognosis of epilepsy and other brain disorders, including psychiatric conditions. Dr. Wang leads a small research subgroup called DEPTH (Digital Epileptic and Psychiatric Twins for Health) within TNG, dedicated to advancing virtual brain twin technologies to improve health outcomes.
PUBLICATIONS
GOOGLE SCHOLAR PAGE
Selected publications
10 of full record · Google Scholar, Aug 2026
10 of full record · Google Scholar, Aug 2026
Virtual brain twins guide personalized treatment decision in schizophrenia
Preti, Wang H.E.*, Ziaeemehr et al. — medRxiv, under review at Science Advances
First demonstration that personalized whole-brain models incorporating dopaminergic and serotonergic signalling can predict treatment response in schizophrenia, validated in a pilot cohort of 18 patients.
Virtual brain twins for stimulation in epilepsy
Wang H.E.*, Dollomaja, Triebkorn et al. — Nature Computational Science, 5(9), 754–768
A high-resolution virtual brain twin framework that uses stimulation-induced seizures to non-invasively estimate the epileptogenic network.
Principles and operation of virtual brain twins
Hashemi, ..., Wang H., ..., Jirsa V. — IEEE Reviews in Biomedical Engineering, 1–29
A comprehensive technical review establishing the methodological foundations of virtual brain twins: model construction, personalization, parameter inference, and clinical validation.
Virtual epilepsy patient cohort: generation and evaluation
Dollomaja, Wang H.E.*, Guye et al. — PLOS Computational Biology, 21(4), e1012911
A synthetic patient cohort generation and evaluation framework enabling large-scale, reproducible benchmarking of personalized brain models.
Virtual brain twins: from basic neuroscience to clinical use
Wang H.E.*, Triebkorn, Breyton et al. — National Science Review, 11(5), nwae079
The founding conceptual framework paper formally defining virtual brain twins and their standard model, with worked examples across epilepsy, Alzheimer's, multiple sclerosis, Parkinson's and psychiatric disorders.
Personalised virtual brain models in epilepsy
Jirsa V., Wang H., Triebkorn et al. — The Lancet Neurology, 22(5), 443–454
A high-impact clinical review introducing virtual brain models as a tool for presurgical evaluation in drug-resistant epilepsy.
Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy
Wang H.E.*, Woodman, Triebkorn et al. — Science Translational Medicine, 15(680), eabp8982
A digital workflow using personalized brain models and machine learning to map epileptogenic zone networks, validated against surgical outcomes in a 53-patient cohort.
VEP atlas: an anatomic and functional human brain atlas dedicated to epilepsy patients
Wang H.E.*, Scholly, Triebkorn et al. — Journal of Neuroscience Methods, 348, 108983
A dedicated anatomical and functional brain atlas built specifically to support personalized modeling in epilepsy patients.
The virtual epileptic patient: individualized whole-brain models of epilepsy spread
Jirsa V.K., ..., Wang H., et al. — NeuroImage, 145, 377–388
The original workflow establishing individualized whole-brain modeling for seizure spread — foundational to all subsequent VEP/VBT work.
A systematic framework for functional connectivity measures
Wang H.E.*, Bénar, Quilichini et al. — Frontiers in Neuroscience, 8, 405
A systematic comparison framework for functional connectivity metrics, widely adopted as a methodological reference in the field.
Funding & project leadership
2024–2027Principal Investigator — Personalized high-resolution models for diagnosis and treatment in epilepsy (HR-VEP), AMIDEX
2024–2027Work Force Lead, Clinical Trial pipeline — Virtual Brain Twin for Personalised Treatment of Psychiatric Disorders, HORIZON-RIA
2024–2027Key Researcher — Nautilus, France 2030 (Neural Analysis Using Temporal Interference and Lifelike User Simulation)
2024–2026Work Package Lead, WP3 — EBRAINS 2.0, Horizon Europe infrastructure
2017–2022Trial Pipeline Lead — EPINOV RHU, large-scale modeling for epilepsy surgery prognosis
2018–2023Co-Task Leader, T5.4 — Human Brain Project (SGA2/SGA3)
Invited talks & presentations
selected, since Dec 2024
Jun 2026Chair & Speaker of a Symposium — OHBM, Bordeaux, France
Dec 2025Lecturer — International School of Brain Cells & Circuits "Camillo Golgi," Erice, Italy (also Dec 2024)
Dec 2025Speaker, Keynote Session — EBRAINS Summit, Brussels, Belgium
Oct 2025Presenter — 25th World Congress of Psychiatry, Prague, Czech Republic
Sep 2025Lecturer — Brain Dynamics Academy (BRANDY), EBRAINS-Italy
Aug 2025Speaker — Opening Conference for Mathematical Challenges in Brain Mechanics, Oslo, Norway
Jun 2025Educational Course & Symposium Speaker — OHBM, Brisbane, Australia
Jun 2025Speaker & Session Chair — ICTALS, Montreal, Canada
Dec 2024Workshop Lead — American Epilepsy Society (AES) Annual Meeting, Los Angeles, USA
Society membership
Organization for Human Brain Mapping (OHBM) — Council Committee member, elected Treasurer
American Epilepsy Society (AES) — Basic Science Committee member
Peer review
Nature Biomedical Engineering · Nature Reviews Electrical Engineering · Science Advances · PNAS · NeuroImage · npj Digital Medicine · IEEE Transactions on Neural Systems and Rehabilitation Engineering · Brain Communications · Brain Research Bulletin · Journal of Physiology · PLOS Computational Biology · Scientific Reports · Network Modeling Analysis in Health Informatics and Bioinformatics · Neural Networks, and others.
