好色先生

好色先生

Explore the latest content from across our publications

Log In

Forgot Password?
Create New Account

Loading... please wait

Abstract Details

EEG-sEMG Analysis in Understanding the Neurophysiology of Acute Post-anoxic Myoclonus
Epilepsy/Clinical Neurophysiology (EEG)
P7 - Poster Session 7 (8:00 AM-9:00 AM)
10-009

To investigate the neurophysiology of acute post-anoxic myoclonus and to localize the putative generator.

 Post-anoxic myoclonus(PAM) is a common complication of diffuse cerebral ischemia following cardiac arrest.Using a novel EEG-sEMG approach, we conducted a polygraphic neurophysiological analysis of acute PAM.

A cardiac arrest protocol was developed at our institution from 2022 to 2024. This included standard 18-channel scalp EEG placed according to the 10-20 international system. In addition, we placed sEMG electrodes over the masseter(CN V), orbicularis oris(CN VII), sternocleidomastoid(CN XI), and biceps brachii(C5,6). Each muscle was covered by two electrodes separated by 1-1.5 inches with a recording sampling rate of 200Hz via the Neurofax-1200 system by Nihon Kohden (Japan). A descending myogenic activation pattern (V → VII → XI → C6) was hypothesized to indicate a cortical origin, while a non-sequential pattern would suggest a reticular origin. To minimize bias, two independent researchers analyzed EEG and sEMG data separately. Each patient’s classification was determined based on the predominant pattern observed across 50 myoclonic discharges.

A total of 14 patients were analyzed. EEG and EMG findings were concordant in 9 cases, classifying them as either cortical (4) or reticular (5) myoclonus. The predominant EEG pattern in cortical myoclonus patients was a generalized burst-suppression pattern, with the bursts time-locked and preceding the myoclonus. One patient had a generalized periodic pattern. In 3 out of 5 reticular cases, the EEG showed a generalized background suppression. In 2 cases, there was a burst-suppression pattern, but the bursts were not time-locked to the myoclonus. In 5 cases, discrepancies between EEG and EMG classifications led to their designation as a mixed group.

 

Our preliminary findings indicate a feasible and technically easy EEG-sEMG protocol to monitor patients with acute PAM for appropriate classification of the myoclonus. The relationship to overall patient outcomes remains to be studied.

Authors/Disclosures
Prasannakumar K. Gajera, MBBS
PRESENTER
Dr. Gajera has nothing to disclose.
Akshaya Rathin Sivaji, MD Dr. Sivaji has nothing to disclose.
Mohamed Hasan, MD Dr. Hasan has nothing to disclose.
Saeideh Salehizadeh, MD Dr. Salehizadeh has nothing to disclose.
Mark Finley, Registered EEG Technologist Mr. Finley has nothing to disclose.
Brandy N. Woods, R EEG T Miss Woods has nothing to disclose.
Alla Morris, EEG, CLTM (University Hospitals Cleveland Medical Center) Mrs. Morris has nothing to disclose.
Alexander Lewis, DO (University Hospitals Cleveland Medical Center) Dr. Lewis has nothing to disclose.
Alexander Wang, MD (University Hospitals Cleveland Medical Center) Dr. Wang has nothing to disclose.
Wei Xiong, MD (University Hospitals) Dr. Xiong has nothing to disclose.
Neel Fotedar, MD (University Hospitals Cleveland Medical Center) Dr. Fotedar has received research support from NINDS.