Brian
Litt, M.D.
littb@mail.med.upenn.edu
Assistant Professor
of Neurology; Assistant Professor of Bioengineering
A.B., Harvard University,
1982
M.D., Johns Hopkins University,
1986
Research Interests
My scientific research
is focused on my clinical work as a Neurologist specializing in
the care and treatment of individuals with epilepsy and encompasses
a number of related projects:
Seizure Prediction:
developing an engineering model of how seizures are generated and
spread in humans with temporal lobe epilepsy. Goals are to: (1)
find the earliest precursors of seizures in continuous recordings
of the intracranial electroencephalogram (EEG) through novel engineering
approaches to signal analysis, (2) use this information to predict
seizures before clinical onset (3) based upon these findings, develop
an implantable brain device to predict seizures and arrest their
genesis before any evidence of clinical expression.
Localization of Seizures
in Extratemporal Epilepsy: Developing methods to localize and treat
seizures arising from regions outside of the temporal lobes. Mulitmodality
collaboration with functional neuroimaging, cognitive science, neurosurgery
and interventional neuroradiology.
Minimally Invasive Tools
for Acquisition and Display of High Fidelity Electrophysiologic
Recording: This work focuses on novel methods for gathering high
fidelity EEG, Evoked Potential and Functional Brain Mapping information
traditionally gathered by surgical implantation of intracranial
subdural, depth and epidural electrodes. Effort will be focused
on methods to superimpose this information upon 3-dimensional brain
images used for intra-operative localization of brain function and
resection of epileptogenic tissue.
Selected Publications
Evolution of Accumulated
Energy Predicts Seizures in Mesial Temporal Lobe Epilepsy.
Submitted to Proceedings of IEEE International Conference on Engineering
in Medicine and Biology. October, 1999, Atlanta, GA.
Fractal Dimension Characterizes
Seizure Onset in Epileptic Patients. Proceedings of IEEE International
Conference on Acoustics, Speech and Signal Processing. March 15-19,
1999, Phoenix, AZ.
Nonconvulsive Status
Epilepticus in the Critically Ill Elderly, Epilepsia, 1998 Nov;39
(11):1194-2002.
Practical Detection
of Epileptiform Discharges (Eds) in the EEG Using An Artificial
Neural Network: A comparison of Raw and Parameterized EEG Data.
Electroencephalography and Clinical Neurophysiology, 91(1994) 194-204.
Bioengineering
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