Delineating potential epileptogenic areas utilizing resting functional magnetic resonance imaging (fMRI) in epilepsy patients. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Pizarro, Ricardo; Nair, Veena; Meier, Timothy; Holdsworth, Ryan; Tunnell, Evelyn; Rutecki, Paul; Sillay, Karl; Meyerand, Mary E.; Prabhakaran, Vivek
• Is Part Of: Neurocase. Volume 22:Issue 4(2016)
• Page Start: 362
• Page End: 368
• Publication Date: 2016-07-03
• Subjects: Epilepsy -- temporal clustering analysis -- resting function magnetic resonance imaging -- electroencephalogram -- seizure foci localization; Neurology -- Periodicals; Neuropsychology -- Case Report; Mental Disorders -- Case Report; Nervous System Diseases -- Case Report; 616.8
• DOI: 10.1080/13554794.2016.1195845
• Languages: English
• ISSNs: 1355-4794

Abstract

ABSTRACT: Seizure localization includes neuroimaging like electroencephalogram, and magnetic resonance imaging (MRI) with limited ability to characterize the epileptogenic network. Temporal clustering analysis (TCA) characterizes epileptogenic network congruent with interictal epileptiform discharges by clustering together voxels with transient signals. We generated epileptogenic areas for 12 of 13 epilepsy patients with TCA, congruent with different areas of seizure onset. Resting functional MRI (fMRI) scans are noninvasive, and can be acquired quickly, in patients with different levels of severity and function. Analyzing resting fMRI data using TCA is quick and can complement clinical methods to characterize the epileptogenic network.