作者
Shennan Aibel Weiss, Brent Berry, Inna Chervoneva, Zachary Waldman, Jonathan Guba, Mark Bower, Michal Kucewicz, Benjamin Brinkmann, Vaclav Kremen, Fatemeh Khadjevand, Yogatheesan Varatharajah, Hari Guragain, Ashwini Sharan, Chengyuan Wu, Richard Staba, Jerome Engel Jr, Michael Sperling, Gregory Worrell
发表日期
2018/10/1
期刊
Clinical neurophysiology
卷号
129
期号
10
页码范围
2089-2098
出版商
Elsevier
简介
Objective
To test the utility of a novel semi-automated method for detecting, validating, and quantifying high-frequency oscillations (HFOs): ripples (80–200 Hz) and fast ripples (200–600 Hz) in intra-operative electrocorticography (ECoG) recordings.
Methods
Sixteen adult patients with temporal lobe epilepsy (TLE) had intra-operative ECoG recordings at the time of resection. The computer-annotated ECoG recordings were visually inspected and false positive detections were removed. We retrospectively determined the sensitivity, specificity, positive and negative predictive value (PPV/NPV) of HFO detections in unresected regions for determining post-operative seizure outcome.
Results
Visual validation revealed that 2.81% of ripple and 43.68% of fast ripple detections were false positive. Inter-reader agreement for false positive fast ripple on spike classification was good (ICC = 0.713, 95% CI: 0.632–0.779). After …
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SA Weiss, B Berry, I Chervoneva, Z Waldman, J Guba… - Clinical neurophysiology, 2018
