Time-Frequency Analysis of Somatosensory Evoked High-Frequency (600 Hz) Oscillations as an Early Indicator of Arousal Recovery after Hypoxic-Ischemic Brain Injury

Author:

Ou ZeORCID,Guo Yu,Gharibani PayamORCID,Slepyan Ariel,Routkevitch DenisORCID,Bezerianos AnastasiosORCID,Geocadin Romergryko G.,Thakor Nitish V.

Abstract

Cardiac arrest (CA) remains the leading cause of coma, and early arousal recovery indicators are needed to allocate critical care resources properly. High-frequency oscillations (HFOs) of somatosensory evoked potentials (SSEPs) have been shown to indicate responsive wakefulness days following CA. Nonetheless, their potential in the acute recovery phase, where the injury is reversible, has not been tested. We hypothesize that time-frequency (TF) analysis of HFOs can determine arousal recovery in the acute recovery phase. To test our hypothesis, eleven adult male Wistar rats were subjected to asphyxial CA (five with 3-min mild and six with 7-min moderate to severe CA) and SSEPs were recorded for 60 min post-resuscitation. Arousal level was quantified by the neurological deficit scale (NDS) at 4 h. Our results demonstrated that continuous wavelet transform (CWT) of SSEPs localizes HFOs in the TF domain under baseline conditions. The energy dispersed immediately after injury and gradually recovered. We proposed a novel TF-domain measure of HFO: the total power in the normal time-frequency space (NTFS) of HFO. We found that the NTFS power significantly separated the favorable and unfavorable outcome groups. We conclude that the NTFS power of HFOs provides earlier and objective determination of arousal recovery after CA.

Funder

NIH

Publisher

MDPI AG

Subject

General Neuroscience

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2. Evaluating the Ear for Monitoring Somatosensory Evoked Potentials;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

3. SEPP&M: A Machine Learning Dataset for Spine Surgery Somatosensory Evoked Potentials Prediction;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

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