Wireless high-density electroencephalography in the perioperative setting.

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Bibliographic Details
Title: Wireless high-density electroencephalography in the perioperative setting.
Authors: Runstadler N; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA., Martinez S; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA., Lee U; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA; Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI, USA., Li D; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA; Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI, USA., Maboudi K; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA., Mashour GA; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA; Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USA., Vlisides PE; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA; Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: pvliside@med.umich.edu.
Source: Journal of neuroscience methods [J Neurosci Methods] 2025 Dec; Vol. 424, pp. 110584. Date of Electronic Publication: 2025 Sep 18.
Publication Type: Clinical Trial, Phase II; Journal Article; Randomized Controlled Trial
Language: English
Journal Info: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE
Imprint Name(s): Original Publication: Amsterdam, Elsevier/North-Holland Biomedical Press.
MeSH Terms: Brain*/physiology , Electroencephalography*/methods , Electroencephalography*/instrumentation , Intraoperative Neurophysiological Monitoring*/methods , Intraoperative Neurophysiological Monitoring*/instrumentation , Wireless Technology*, Adult ; Female ; Humans ; Male ; Middle Aged ; Caffeine
Abstract: Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Phillip Vlisides reports financial support was provided by National Institute on Aging. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Background: Electroencephalographic (EEG) systems used in the operating room are constrained to frontal channels, providing limited neuroanatomical insights into altered perioperative brain states. Our objective is to present pragmatic strategies for placing whole-scalp, high-density EEG systems perioperatively that enable more comprehensive analysis.
New Method: We present the successful implementation of wireless high-density (72-channel) EEG in the perioperative setting for the ongoing Caffeine, Postoperative Delirium, and Change in Outcomes after Surgery (CAPACHINOS-2) clinical trial (NCT05574400). Placement time was calculated, impedance and data quality were assessed, and data acquisition and analysis pipelines were established. Lastly, proof-of-principle analyses using source localization were conducted.
Results: High-density wireless EEG data have been successfully acquired for n = 45 participants, with median (interquartile range) placement time of 34 (25 - 52) minutes. Data acquisition was supported by an established workflow, and a subsequent data processing pipeline was used to evaluate channel quality, remove artifacts, and generate proof-of-principle high-density analyses.
Comparison With Existing Methods: Compared to a low-density system used for a similar, previous clinical trial (n = 54 participants), preoperative median impedance values (kΩ) were lower with the high-density system (13 [11-16] vs. 39 [28-47] kΩ; p < 0.001). Additionally, proof-of-principle analysis demonstrates a more complex connectivity matrix and broader distribution of cortical alpha rhythms after induction of general anesthesia with the high-density system, highlighting an expanded capacity for neurophysiologic analysis.
Conclusions: Wireless high-density EEG serves as a feasible, promising tool to advance understanding of altered perioperative brain states by providing high spatiotemporal resolution of cortical oscillations.
(Copyright © 2025 Elsevier B.V. All rights reserved.)
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Grant Information: R01 AG075005 United States AG NIA NIH HHS
Contributed Indexing: Keywords: Electroencephalography; Neuroanesthesia; Neurophysiological monitoring; Perioperative period; Wireless technology
Substance Nomenclature: 3G6A5W338E (Caffeine)
Entry Date(s): Date Created: 20250920 Date Completed: 20251028 Latest Revision: 20251117
Update Code: 20251117
PubMed Central ID: PMC12481166
DOI: 10.1016/j.jneumeth.2025.110584
PMID: 40975299
Database: MEDLINE
Description
Abstract:Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Phillip Vlisides reports financial support was provided by National Institute on Aging. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br />Background: Electroencephalographic (EEG) systems used in the operating room are constrained to frontal channels, providing limited neuroanatomical insights into altered perioperative brain states. Our objective is to present pragmatic strategies for placing whole-scalp, high-density EEG systems perioperatively that enable more comprehensive analysis.<br />New Method: We present the successful implementation of wireless high-density (72-channel) EEG in the perioperative setting for the ongoing Caffeine, Postoperative Delirium, and Change in Outcomes after Surgery (CAPACHINOS-2) clinical trial (NCT05574400). Placement time was calculated, impedance and data quality were assessed, and data acquisition and analysis pipelines were established. Lastly, proof-of-principle analyses using source localization were conducted.<br />Results: High-density wireless EEG data have been successfully acquired for n = 45 participants, with median (interquartile range) placement time of 34 (25 - 52) minutes. Data acquisition was supported by an established workflow, and a subsequent data processing pipeline was used to evaluate channel quality, remove artifacts, and generate proof-of-principle high-density analyses.<br />Comparison With Existing Methods: Compared to a low-density system used for a similar, previous clinical trial (n = 54 participants), preoperative median impedance values (kΩ) were lower with the high-density system (13 [11-16] vs. 39 [28-47] kΩ; p &lt; 0.001). Additionally, proof-of-principle analysis demonstrates a more complex connectivity matrix and broader distribution of cortical alpha rhythms after induction of general anesthesia with the high-density system, highlighting an expanded capacity for neurophysiologic analysis.<br />Conclusions: Wireless high-density EEG serves as a feasible, promising tool to advance understanding of altered perioperative brain states by providing high spatiotemporal resolution of cortical oscillations.<br /> (Copyright © 2025 Elsevier B.V. All rights reserved.)
ISSN:1872-678X
DOI:10.1016/j.jneumeth.2025.110584