The Effect of Stimulation Intensity, Sampling Frequency, and Sample Synchronization in TMS-EEG on the TMS Pulse Artifact Amplitude and Duration

被引:0
|
作者
Jamil, Zunaira [1 ,2 ]
Saisanen, Laura [1 ,2 ]
Demjan, Michal [2 ,3 ]
Reijonen, Jusa [1 ,2 ]
Julkunen, Petro [1 ,2 ]
机构
[1] Univ Eastern Finland, Dept Tech Phys, Kuopio 70210, Finland
[2] Kuopio Univ Hosp, Dept Clin Neurophysiol, Kuopio 70200, Finland
[3] Bittium Biosignals Oy, Kuopio 70800, Finland
关键词
Electroencephalography; Electrodes; Synchronization; Motors; Magnetic resonance imaging; Silicon; Reliability engineering; TMS-EEG; pulse artifact; stimulation intensity; sampling frequency; synchronization; TRANSCRANIAL MAGNETIC STIMULATION; HUMAN MOTOR CORTEX; COMBINING TMS; EXCITABILITY;
D O I
10.1109/TNSRE.2024.3429176
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) possesses diagnostic and therapeutic benefits. However, TMS provokes a large pulse artifact that momentarily obscures the cortical response, presenting a significant challenge for EEG data interpretation. We examined how stimulation intensity (SI), EEG sampling frequency (Fs) and synchronization of stimulation with EEG sampling influence the amplitude and duration of the pulse artifact. In eight healthy subjects, single-pulse TMS was administered to the primary motor cortex, due to its well-documented responsiveness to TMS. We applied two different SIs (90% and 120% of resting motor threshold, representing the commonly used subthreshold and suprathreshold levels) and Fs (conventional 5 kHz and high frequency 20 kHz) both with TMS synchronized with the EEG sampling and the conventional non-synchronized setting. Aside from removal of the DC-offset and epoching, no preprocessing was performed to the data. Using a random forest regression model, we identified that Fs had the largest impact on both the amplitude and duration of the pulse artifact, with median variable importance values of 1.444 and 1.327, respectively, followed by SI (0.964 and 1.083) and sampling synchronization (0.223 and 0.248). This indicated that Fs and SI are crucial for minimizing prediction error and thus play a pivotal role in accurately characterizing the pulse artifact. The results of this study enable focusing some of the study design parameters to minimize TMS pulse artifact, which is essential for both enhancing the reliability of clinical TMS-EEG applications and improving the overall integrity and interpretability of TMS-EEG data.
引用
收藏
页码:2612 / 2620
页数:9
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