Intracranial EEG Connectivity in Patients with Temporal Lobe Epilepsy
Dario Englot MD, PhD
Brief Description of Project:
To bridge the gap between ictal network effects and interictal problems, we will study the effects of seizures on connectivity in real-time. Our group’s previous work with human intracranial electroencephalography (iEEG) demonstrated that focal impaired consciousness seizures lead to a much more profound suppression of ictal neocortical activity than focal aware conscious seizures. To understand how acute (ictal) effects of Temporal Lobe Epilepsy (TLE) may lead to chronic (interictal) network perturbations, we must study the differential effects of consciousness impairing and consciousness sparing seizure types on brain connectivity. IEEG allows recordings of neural activity with high temporal and spatial resolution to be used for dynamic functional connectivity (DFC) analysis during different seizure types compared to resting state, which may help elucidate acute network effects of TLE seizures.
Interest in Neuroscience/BME and proficiency with MATLAB.
Nature of Supervision:
Student will be working directly with a PhD graduate student. The student will present work to PI and lab weekly to receive feedback and instruction.
A Brief Research Plan (period is for 10 weeks):
Under supervision of the graduate student. The VUSE fellow will collect intracranial EEG data, will learn to classify seizure phenotype as consciousness impairing or consciousness sparing. The student will also receive instruction on intracranial EEG processing and analysis. The student will put together a project summary and findings by the end of 10 weeks and present to the lab, this may then be put into an abstract for submission.
Number of Open Slots: 1
Name: Dario Englot MD, PhD
Department: Neurosurgery & Biomedical Engineering