TY - JOUR
T1 - Wavelet-crosscorrelation analysis can help predict whether bursts of pulse stimulation will terminate afterdischarges
AU - Mizuno-Matsumoto, Yuko
AU - Motamedi, Gholam K.
AU - Webber, W. Robert S.
AU - Lesser, Ronald P.
N1 - Funding Information:
This work was supported by Research for the Future Program of Japan Society for the Promotion of Science (JSPS) under the Project ‘Integrated Network Architecture for Advanced Multimedia Application system’ (JSPS-RFTF97R16301), the Japan Epilepsy Research Foundation and Sumitomo Life Insurance Welfare Services Foundation. This research was presented at the 52nd Annual Meeting of the American Academy of Neurology (AAN) in April, 2000, San Diego, CA, USA. The authors would like to thank Professors Tamura, Takeda, Inouye, Dr. Shinosaki and Professor Shimojo at Osaka University for their suggestions and advice regarding this research, and Dr. Pamela Talalay for assistance in editing the manuscript.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - Objective: Extraoperative cortical localizing stimulation (LS) is a standard clinical tool used to assess brain function before epilepsy surgery. However, LS can produce unwanted afterdischarges (ADs). We previously have shown that brief pulses of electrical stimulation (BPS) can terminate ADs caused by cortical stimulation. Our objective was to assess whether wavelet-crosscorrelation analysis could help predict the conditions under which BPS would be most likely to terminate ADs. Methods: We used wavelet-crosscorrelation analysis to get wavelet-correlation coefficients (WCC), and determine time lag (TL) and absolute value of TL (ATL) between two electrodes. For Analysis-1, we compared WCC and ATL in epoch 1 which was before LS, epoch 2 which was after LS but before BPS, and epoch 3 which was after BPS. For Analysis 2, we compared WCC and ATL during epoch 1 under 4 conditions: epochs when ADs subsequently terminated within 2 s after the end of BPS (1A), terminated within 2-5 s (1B), did not terminate within 5 s (1C), and when ADs did not appear (1D). Results: We found that BPS efficacy in terminating ADs was predicted by (1) low correlation and (2) slow propagation speed between electrode pairs in the 2-10 s period before stimulation. Conclusions: Wavelet-crosscorrelation analysis can help predict conditions during which BPS can abort ADs. It is possible that similar analyses could help predict when BPS or other interventions could abort clinical seizures.
AB - Objective: Extraoperative cortical localizing stimulation (LS) is a standard clinical tool used to assess brain function before epilepsy surgery. However, LS can produce unwanted afterdischarges (ADs). We previously have shown that brief pulses of electrical stimulation (BPS) can terminate ADs caused by cortical stimulation. Our objective was to assess whether wavelet-crosscorrelation analysis could help predict the conditions under which BPS would be most likely to terminate ADs. Methods: We used wavelet-crosscorrelation analysis to get wavelet-correlation coefficients (WCC), and determine time lag (TL) and absolute value of TL (ATL) between two electrodes. For Analysis-1, we compared WCC and ATL in epoch 1 which was before LS, epoch 2 which was after LS but before BPS, and epoch 3 which was after BPS. For Analysis 2, we compared WCC and ATL during epoch 1 under 4 conditions: epochs when ADs subsequently terminated within 2 s after the end of BPS (1A), terminated within 2-5 s (1B), did not terminate within 5 s (1C), and when ADs did not appear (1D). Results: We found that BPS efficacy in terminating ADs was predicted by (1) low correlation and (2) slow propagation speed between electrode pairs in the 2-10 s period before stimulation. Conclusions: Wavelet-crosscorrelation analysis can help predict conditions during which BPS can abort ADs. It is possible that similar analyses could help predict when BPS or other interventions could abort clinical seizures.
KW - Afterdischarge
KW - Brief pulses of electrical stimulation
KW - Electrocorticogram
KW - Epilepsy
KW - Time lag
KW - Wavelet-crosscorrelation analysis
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U2 - 10.1016/S1388-2457(01)00712-X
DO - 10.1016/S1388-2457(01)00712-X
M3 - Article
C2 - 11801422
AN - SCOPUS:0036155977
SN - 1388-2457
VL - 113
SP - 33
EP - 42
JO - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
JF - Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control
IS - 1
ER -