The Influence of Anesthesia on Corticocortical Evoked Potential Monitoring Network Between Frontal and Temporoparietal Cortices

Suzuki, Yuto; Enatsu, Rei; Kanno, Aya; Yokoyama, Rintaro; Suzuki, Hime; Tachibana, Shunsuke; Akiyama, Yukinori; Mikami, Takeshi; Ochi, Satoko; Yamakage, Michiaki; Mikuni, Nobuhiro

doi:10.1016/j.wneu.2018.11.253

Cited by 22 publications

(12 citation statements)

References 13 publications

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“…However, this current study represents one of but a few to explicitly explore the relationship between stimulation of both cortical and subcortical structures and connectivity. This remains an important point as there is speculation that CCEPs are a representation of network interactions between cortical and subcortical pathways as opposed to a purely local or cortical evoked population response induced via white matter connections [42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Local and Distant responses to single pulse electrical stimulation reflect different forms of connectivity

Crocker

Ostrowski

Williams

et al. 2020

Preprint

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Background: Measuring connectivity in the human brain can involve innumerable approaches using both noninvasive (fMRI, EEG) and invasive (intracranial EEG or iEEG) recording modalities, including the use of external probing stimuli, such as direct electrical stimulation. Objective/Hypothesis: To examine how different measures of connectivity correlate with one another, we compared 'passive' measures of connectivity during resting state conditions map to the more 'active' probing measures of connectivity with single pulse electrical stimulation (SPES). Methods: We measured the network engagement and spread of the cortico-cortico evoked potential (CCEP) induced by SPES at 53 total sites across the brain, including cortical and subcortical regions, in patients with intractable epilepsy (N=11) who were undergoing intracranial recordings as a part of their clinical care for identifying seizure onset zones. We compared the CCEP network to functional, effective, and structural measures of connectivity during a resting state in each patient. Functional and effective connectivity measures included correlation or Granger causality measures applied to stereoEEG (sEEGs) recordings. Structural connectivity was derived from diffusion tensor imaging (DTI) acquired before intracranial electrode implant and monitoring (N=8). Results: The CCEP network was most similar to the resting state voltage correlation network in channels near to the stimulation location. In contrast, the distant CCEP network was most similar to the DTI network. Other connectivity measures were not as similar to the CCEP network. 3 Conclusions: These results demonstrate that different connectivity measures, including those derived from active stimulation-based probing, measure different, complementary aspects of regional interrelationships in the brain.

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Section: Discussionmentioning

confidence: 99%

Local and Distant responses to single pulse electrical stimulation reflect different forms of connectivity

Crocker

Ostrowski

Williams

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Continuous EEG and ECoG were monitored to identify and exclude afterdischarges. Moreover, CCEPs stimulation was per- formed once burst suppression phenomena were excluded after careful ECoG evaluation, since CCEPs amplitude may sharply decrease with depth of anaesthesia (Suzuki et al, 2019). Bipolar stimulation was used with two contacts of strip electrode covering the frontal cortical termination of arcuate fasciculus.…”

Section: Intraoperative Neurophysiological Monitoring (Ionm) and Data...mentioning

confidence: 99%

Recording cortico-cortical evoked potentials of the human arcuate fasciculus under general anaesthesia

Giampiccolo

Parmigiani

Basaldella

et al. 2021

Clinical Neurophysiology

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“…Considering the latency [30][31][32][33] and lack of spread to the contralateral hemisphere [34], the epileptiform discharges that the eEEG detected in this study were interictal epileptiform discharges that were at least localized to the right hemisphere. The fact that epileptiform discharges detected by contacts two, three, and four, but not contact one, were detected by the eEEG meant that the eEEG measured activities spreading from electrical fields nearer to contacts two, three, and four of the SDE to the area medial to the location of the eEEG electrode.…”

Section: Discussionmentioning

confidence: 74%

Endovascular Electroencephalogram Records Simultaneous Subdural Electrode-Detectable, Scalp Electrode-Undetectable Interictal Epileptiform Discharges

et al. 2022

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Introduction: We hypothesized that an endovascular electroencephalogram (eEEG) can detect subdural electrode (SDE)-detectable, scalp EEG-undetectable epileptiform discharges. The purpose of this study is, therefore, to measure SDE-detectable, scalp EEG-undetectable epileptiform discharges by an eEEG on a pig. Methods: A pig under general anesthesia was utilized to measure an artificially generated epileptic field by an eEEG that was able to be detected by an SDE, but not a scalp EEG as a primary outcome. We also compared the phase lag of each epileptiform discharge that was detected by the eEEG and SDE as a secondary outcome. Results: The eEEG electrode detected 113 (97%) epileptiform discharges (97% sensitivity). Epileptiform discharges that were localized within the three contacts (contacts two, three and four), but not spread to other parts, were detected by the eEEG with a 92% sensitivity. The latency between peaks of the eEEG and right SDE earliest epileptiform discharge ranged from 0 to 48 ms (mean, 13.3 ms; median, 11 ms; standard deviation, 9.0 ms). Conclusion: In a pig, an eEEG could detect epileptiform discharges that an SDE could detect, but that a scalp EEG could not.

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The Influence of Anesthesia on Corticocortical Evoked Potential Monitoring Network Between Frontal and Temporoparietal Cortices

Cited by 22 publications

References 13 publications

Local and Distant responses to single pulse electrical stimulation reflect different forms of connectivity

Local and Distant responses to single pulse electrical stimulation reflect different forms of connectivity

Recording cortico-cortical evoked potentials of the human arcuate fasciculus under general anaesthesia

Endovascular Electroencephalogram Records Simultaneous Subdural Electrode-Detectable, Scalp Electrode-Undetectable Interictal Epileptiform Discharges

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