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Kucewicz, Michał T.

https://orcid.org/0000-0002-3743-5863

Mayo Clinic

Mayo Clinic

Citations 22

Pathological and physiological high-frequency oscillations in focal human epilepsy
Matsumoto, Andrew , Brinkmann, Benjamin H. , Stead, S. Matthew, Matsumoto, Joseph Y., Kucewicz, Michał T. , Marsh, W. Richard , Meyer, Frederic B., Worrell, Gregory A. , Brinkmann, Benjamin H , Kucewicz, Michal

Journal of Neurophysiology | August 7, 2013 | Volume: 110 | Issue: 8 | Pages: 1958-1964

10.1152/jn.00341.2013 Get It

High-frequency oscillations (HFO; gamma: 40–100 Hz, ripples: 100–200 Hz, and fast ripples: 250–500 Hz) have been widely studied in health and disease. These phenomena may serve as biomarkers for epileptic brain; however, a means of differentiating between pathological and normal physiological HFO is essential. We categorized task-induced physiological HFO during periods of HFO induced by a visual or motor task by measuring frequency, duration, and spectral amplitude of each event in single trial time-frequency spectra and compared them to pathological HFO similarly measured. Pathological HFO had higher mean spectral amplitude, longer mean duration, and lower mean frequency than physiological-induced HFO. In individual patients, support vector machine analysis correctly classified pathological HFO with sensitivities ranging from 70–98% and specificities >90% in all but one patient. In this patient, infrequent high-amplitude HFO were observed in the motor cortex just before movement onset in the motor task. This finding raises the possibility that in epileptic brain physiological-induced gamma can assume higher spectral amplitudes similar to those seen in pathologic HFO. This method if automated and validated could provide a step towards differentiating physiological HFO from pathological HFO and improving localization of epileptogenic brain.
Pathologic brain network activity
Kucewicz, Michał T. , Gotman, Jean , Worrell, Gregory A. , Kucewicz, Michal

Neurology | May 18, 2013 | Volume: 81 | Issue: 1 | Pages: 12-13

10.1212/wnl.0b013e318297ef3c Get It