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A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations
Article suggests that common standards for recording, detection, and reporting for intracranial recordings in humans that suggest their role in episodic and semantic memory does not exist. Authors of the article outline the methodological challenges involved in detecting ripple events and offer practical recommendations to improve separation from other high-frequency oscillations, and argue that shared experimental, detection, and reporting standards will provide a solid foundation for future translational discovery.
Date:
October 12, 2022
Creator:
Liu, Anli A.; Henin, Simon; Abbaspoor, Saman; Bragin, Anatol; Buffalo, Elizabeth A.; Farrell, Jordan S. et al.
System:
The UNT Digital Library
An approach for reliably identifying high-frequency oscillations and reducing false-positive detections
Article states that high-frequency oscillation (HFO), classified as ripples (80-240 Hz) and fast ripples (240-500 Hz), is regarded as a promising biomarker of epilepsy. The authors presented an integrated, multi-layered procedure capable of automatically rejecting HFOs from a variety of common false positives, such as motion, background signals, and sharp transients.
Date:
September 2, 2022
Creator:
Zhou, Yufeng; You, Jing; Kumar, Udaya; Weiss, Shennan A.; Bragin, Anatol; Engel Jr., Jerome et al.
System:
The UNT Digital Library