4 papers
Cohort-amortized personalization: navigating the privacy-utility frontier for virtual brain twins
Amirhossein Esmaeili, Marmaduke Woodman, Nina Baldy +8
Personalized generative brain models require individual neuroimaging data that privacy constraints and re-identification risk make difficult to share, while per-subject fitting pro…
Data-driven mean-field within whole-brain models
Martin Breyton, Viktor Sip, Marmaduke Woodman +3
Mean-field models provide a link between microscopic neuronal activity and macroscopic brain dynamics. Their derivation depends on simplifying assumptions, such as all-to-all conne…
Delay-constrained re-entry governs large-scale brain seizures and other network pathologies
Paul Triebkorn, Huifang E. Wang, Marmaduke Woodman +3
Re-entry of travelling excitation loops is a long-suspected driver of human seizures, yet how such loops arise in patient brain networks -- and how susceptible they are to targeted…
Amortizing personalization in virtual brain twins
Nina Baldy, Marmaduke M Woodman, Viktor K Jirsa
Virtual brain twins are personalized digital models of individual human subject or patient's brains, allowing for mechanistic interpretation of neuroimaging data features. Training…