Brian Litt
Associate Professor of Neurology and
Bioengineering (BE)
Brian's laboratory focuses on translating NeuroEngineering research directly into patient care through a collaboration between Neurology, Neurosurgery, Neuroscience, Psychology, and Engineering. While epilepsy is the lab's core focus, its multidisciplinary efforts span a variety of scientific and clinical interests including functional neurosurgery, network and computational neuroscience, movement disorders, intra-operative and ICU monitoring, and other brain network disorders. Specific areas of focus include automated implantable devices, understanding how seizures begin and spread, interpreting multi-scale neurosignals through machine learning, mapping functional networks and circuits in human brain, recording oscillations and modulating them via computer controlled electrical stimulation, and novel electronics technology for high fidelity electrophysiologic recording and brain modulation Dr. Litt is active as an active clinician, medical entrepreneur and inventor.
Member of:
Education:
MD 1986 - Johns Hopkins University School of Medicine
Recent Publications 
- Genetic algorithm-evolved bayesian network classifier for medical applications, Wiggins, M. , Saad, A. , Litt, B. , Vachtsevanos, G., Advances in Soft Computing, 2006
- Proceedings of the Second International Workshop on Advances in Electrocorticography, Ritaccio, A. , Boatman-Reich, D. , Brunner, P. , Cervenka, M.C. , Cole, A.J. , ..., Epilepsy and Behavior, 2011
- Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics, Kim, D.-H. , Viventi, J. , Amsden, J.J. , Xiao, J. , Vigeland, L. , ..., Nature Materials, 2010
- Of seizure prediction, statistics, and dogs: A cautionary tail, Litt, B. , Krieger, A., Neurology, 2007
- One-class novelty detection for seizure analysis from intracranial EEG, Gardner, A.B. , Krieger, A.M. , Vachtsevanos, G. , Litt, B., Journal of Machine Learning Research, 2006