Epilepsy Mortality
The Unseen and Unknown
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- First Published November 18, 2021.
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- Previous version (November 18, 2021 - 12:45).
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Author Disclosures
- Orrin Devinsky, MD
- Orrin Devinsky, MD
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Cognitive and Behavioral Neurology; Oxford University Press, 2002 Epilepsy: Patient and Family Guide, Demos Press, 2008 Alternative Therapies for Epilepsy, Demos Press, 2012 Epilepsy In Children, Demos Press, 2015
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I have consulted for Marinus, Ultragenyx, Xenon and ZOgenix and The Center for Discovery
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Scientific Advisory Board and/or Equity Interest for Estate biosciences, Tevard, Egg Rock, Engage, Script biosciences, Regel Biosciences, Empatica, Rettco, Receptor Life Sciences, California Cannabis Enterprises, SilverSpike and Tilray. Principal Investigator, North American SUDEP Registry and Sudden Unexplained Childhood Death Registry and Research Collaborative Funded by NINDS, NIMH, Dept of Defense, CDC
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For research support: GW Pharmaceuticals Novartis Marinus Eisai Zogenix Ovid Pharma Silver Spike Epilepsy Foundation Script Therapeutics Regel Therapeutics
Ongoing Support NIH R01 R01MH111417 (PI: N Petridou) 9/22/2016 Â 6/30/2021 Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurements The aims of this project are 1) Characterize, model and quantify the exact electrophysiological response of neuronal populations to external stimulation, 2) Characterize, model and quantify the exact haemodynamic response in single voxels to external stimulation, 3) Build comprehensive and integrative models linking stimuli to a) neuronal population electrophysiological activity and b) haemodynamic signals, in order to accurately relate haemodynamics measures to neuronal population activity. Role: Co-Investigator NIH 1RF1MH116978 (PI: E Yacoub) 9/1/2018 Â 8/30/2022 Neural and vascular underpinnings of laminar fMRI in humans The three aims to this project are 1) validate laminar fMRI against laminar electrophysiology in humans to create a neurovascular coupling model using an oddball paradigm, 2) generalize the neurovascular coupling model to a novel, cross-modal associative learning task, 3) generalize the laminar-fMRI model developed in Aim 1 and 2 to networks of brain regions and validate the results against intracranial electrophysiological signals measured in human subjects in an audio/visual associative learning task. NIH U24NS113847 (PI: L Doan) 7/1/2019 Â 6/30/2024 EPPIC-NET The Data Coordinating Center (DCC) of the EPPIC-Net, in close collaboration with the networkÂs Clinical Coordinating Center (CCC), the Specialized Clinical Centers (SCCs), HEAL, and government partners, will provide statistical and data management expertise for conducting high-quality efficient studies for developing non-addictive treatments for pain. In addition, it will compile a collection of clinical and biomarker data and establish a repository for biospecimens. These resources will be linked and shared with the community of pain researchers.
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Rettco - Stock Tevard - Stock Engage - Stock Qstate - Stock Tilray - Stock Options Leafly - Stock Docklight - Stock Left coast ventures - Stock California Cannabis Enterprises - stock Receptor Life Sciences - Stock Egg Rock - Stock Empatica - Stock SilverSpike - Stock Regel Biosciences - stock Script biosciences - Stock
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- Correspondence
Dr. Devinsky od4{at}nyu.edu
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