Overview

Overview

The Advanced Neurophysiological Systems Research team (ACNSR) aims to advance a thematic research program, consisting of multiple projects both large and small, which take advantage of several of our key strengths: Deep experience in clinical neurophysiology (EEG, IOM, BEM, MEG, EP, etc.), a solid core of imaging processing and signal processing experts, a large pool of patients and unique data. Overall, our main mission is to perform translational multimodal research leading to improved quality of care in patients with epilepsy. Serving this primary mission we orient our Clinical Neurophysiology research to elucidate brain connections and communication, both normal and abnormal. All of the disciplines and tools which we currently employ can be brought to bear on this overarching theme: image analysis, signal processing, semiological assessment, specialized invasive and non-invasive neuronal recording techniques, functional studies and other localization techniques, various forms of stimulation, etc.

Mapping the epileptogenic zone as well as epileptic and functional brain networks is a cornerstone principle in guiding therapeutics for patients with medically intractable epilepsy. Accurate identification of these regions is necessary to achieve seizure freedom and avoiding functional deficits. We believe that mapping of these regions will be informed principally by clinical neurophysiologic data as well as other data including: seizure semiology, neuroimaging, nuclear imaging, cognitive neuroscience, and neuropathology. Therefore, we aim to: 1) develop clinical neurophysiologic markers of the epileptogenic zone and epileptic network, 2) develop clinical neurophysiologic markers of functional networks in the brain, and 3) integrate neuroimaging, neuroscience, nuclear imaging, and other basic science fields with clinical neurophysiology to achieve the first two aims.

Contact Information

Dileep Nair, MD
naird@ccf.org

Funding Sources

NIH: R01 NS089212 – A Brain Atlas for Mapping Connectivity in Focal Epilepsy
NSF: SBIR Phase I: A Novel Analytical Tool to Localize the Epileptogenic Zone in Medically-Refractory Epilepsy

Publications

Publications

Increased caffeine intake leads to worsening of electrocorticographic epileptiform discharges as recorded with a responsive neurostimulation device. Mackow MJ, Krishnan B, Bingaman WE, Najm IM, Alexopoulos AV, Nair DR. Clin Neurophysiol. 2016 Jun;127(6):2341-2. doi: 10.1016/j.clinph.2016.03.012. Epub 2016 Mar 18. PMID: 27178850

Correlating magnetoencephalography to stereo-electroencephalography in patients undergoing epilepsy surgery. Murakami H, Wang ZI, Marashly A, Krishnan B, Prayson RA, Kakisaka Y, Mosher JC, Bulacio J, Gonzalez-Martinez JA, Bingaman WE, Najm IM, Burgess RC, Alexopoulos AV. Brain. 2016 Aug 26. pii: aww215. [Epub ahead of print]

Epileptic focus localization based on resting state interictal MEG recordings is feasible irrespective of the presence or absence of spikes. Krishnan B, Vlachos 2, Wang ZI, Mosher J, Najm I, Burgess R, Iasemidis L, Alexopoulos AV. Clin Neurophysiol. 2015 Apr;126(4):667-74. doi: 10.1016/j.clinph.2014.07.014. Epub 2014 Aug 11

Members & Collaborations

Members & Collaborations

Members

Cleveland Clinic Affiliations

External Relationships & Collaborations

  • Viktor Jirsa, Director of the Institute de Neurosciences des Systèmes and Director of Research at the CNRS
  • Normal SEEG Atlas (PI Juan Bulacio, Huifang Wang, John Mosher, Viktor Jirsa, Jorge Gonzalez-Martinez)
  • The Virtual Epileptic Brain (PI Viktor Jirsa, Jorge Gonzalez-Martinez)
  • Richard Leahy, PhD, Professor of Electrical Engineering, Biomedical Engineering, and Radiology, University of Southern California
  • NIH RO1 Grant (RNS089212A_A7886P1) John Mosher & Richard Leahy (Co-PI)
  • Brain Atlas for Mapping Connectivity in Focal Epilepsy: Creation of brain atlas based on CCEP signals
  • David Shattuck, PhD, Associate Professor of Neurology, Dept. of Neurology, School of Medicine, UCLA
  • NIH R01 Grant (NS074980-01) Stephen Jones (Co-PI) Interactive software for semiautomated analysis of structural brain images