Brian Litt, M.D.

Affiliations: 
University of Pennsylvania, Philadelphia, PA, United States 
Area:
Epilepsy, Bioengineering, Network Neuroscience, Implantable Devices, Seizure Detection, Seizure Prediction, Brain Stimulation
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"Brian Litt"
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Parents

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Robert Fisher post-doc 1986-1988 Johns Hopkins
 (Post Doc and Dana Fellow)

Children

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Edward H. Nieh research assistant Penn
Rosana Esteller grad student Penn
Maciej Tadeusz Lazarewicz grad student Penn
Brittany Hajek Scheid grad student 2018- Penn
Nina J Ghosn grad student 2020- Penn
Andrew Gardner grad student 2004 Georgia Tech
Otis Smart grad student 2007 Georgia Tech
Matthew Corbin Wiggins grad student 2007 Georgia Tech
Stephen D. Cranstoun grad student 2008 Penn
Robert C. Wilson grad student 2009 Penn
Ryan Jounhong Cho grad student 2008-2009 Penn
Ryan Cho grad student 2008-2009 Penn
Justin A. Blanco grad student 2010 Penn
Thomas M. Murphy grad student 2010 Penn
Jonathan Viventi grad student 2006-2010 Penn
Mark D. Lippmann grad student 2013 Penn
Ann C. Vanleer grad student 2013 Penn
Drausin F. Wulsin grad student 2013 Penn
Ankit N Khambhati grad student 2010-2015 Penn
Hank Bink grad student 2010-2016 Penn
Andrew Gardner post-doc Penn
Shawniqua T. Williams post-doc
Ram Mani post-doc 2008- Penn
Joost B. Wagenaar post-doc 2011- Penn
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Publications

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Scheid BH, Bernabei JM, Khambhati AN, et al. (2022) Intracranial electroencephalographic biomarker predicts effective responsive neurostimulation for epilepsy prior to treatment. Epilepsia
Arnold TC, Baldassano SN, Litt B, et al. (2021) Simulated diagnostic performance of low-field MRI: Harnessing open-access datasets to evaluate novel devices. Magnetic Resonance Imaging
Bernabei JM, Arnold TC, Shah P, et al. (2021) Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. Brain Communications. 3: fcab156
Murphy BB, Scheid BH, Hendricks Q, et al. (2021) Time Evolution of the Skin-Electrode Interface Impedance under Different Skin Treatments. Sensors (Basel, Switzerland). 21
Bernabei JM, Owoputi O, Small SD, et al. (2021) A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring. Critical Care Explorations. 3: e0476
Driscoll N, Rosch RE, Murphy BB, et al. (2021) Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale. Communications Biology. 4: 136
Scheid BH, Ashourvan A, Stiso J, et al. (2021) Time-evolving controllability of effective connectivity networks during seizure progression. Proceedings of the National Academy of Sciences of the United States of America. 118
Ramayya AG, Yang AI, Buch VP, et al. (2020) Theta synchrony is increased near neural populations that are active when initiating instructed movement. Eneuro
Conrad EC, Bernabei JM, Kini LG, et al. (2020) The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG. Network Neuroscience (Cambridge, Mass.). 4: 484-506
Roberson SW, Shah P, Piai V, et al. (2020) Electrocorticography reveals spatiotemporal neuronal activation patterns of verbal fluency in patients with epilepsy. Neuropsychologia. 107386
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