
About
Brian Litt is a Professor of Neurology and Bioengineering focusing on computational neuroscience, clinical systems, and neurologic disorders. His work bridges neurology and bioengineering to develop advanced tools for epilepsy diagnosis and treatment.
Research interests include:
- Computational modeling of seizure dynamics
- AI applications in neurophysiological data analysis
- Development of implantable neuromodulation devices
- Medical informatics for epilepsy phenotyping
Recent publications emphasize AI-driven seizure outcome extraction, low-field MRI applications, and EEG-based network modeling. His studies often leverage generative models, medical records, and collaborative platforms like Pennsieve.
Scientific contributions include:
- Framework for brain atlases
- Tools for seizure severity quantification
- Pipelines for intracranial electrode reconstruction
- Analysis of network controllability in epilepsy
Litt’s work has significant implications for epilepsy monitoring, surgical planning, and personalized treatment strategies.
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