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Lookup NU author(s): Professor Mark Cunningham, Professor Mark BakerORCiD
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© 2018 The Authors Introduction: High frequency oscillations (HFOs) embedded within the somatosensory evoked potential (SEP) are not routinely recorded/measured as part of standard clinical SEPs. However, HFOs could provide important additional diagnostic/prognostic information in various patient groups in whom SEPs are tested routinely. One area is the management of patients with hypoxic ischaemic encephalopathy (HIE) in the intensive care unit (ICU). However, the sensitivity of standard clinical SEP recording techniques for detecting HFOs is unknown. Methods: SEPs were recorded using routine clinical methods in 17 healthy subjects (median nerve stimulation; 0.5 ms pulse width; 5 Hz; maximum 4000 stimuli) in an unshielded laboratory. Bipolar EEG recordings were acquired (gain 50 k; bandpass 3Hz–2 kHz; sampling rate 5 kHz; non-inverting electrode 2 cm anterior to C3/C4; inverting electrode 2 cm posterior to C3/C4). Data analysis was performed in MATLAB. Results: SEP-HFOs were detected in 65% of controls using standard clinical recording techniques. In 3 controls without significant HFOs, experiments were repeated using a linear electrode array with higher spatial sampling frequency. SEP-HFOs were observed in all 3 subjects. Conclusions: Currently standard clinical methods of recording SEPs are not sufficiently sensitive to permit the inclusion of SEP-HFOs in routine clinical diagnostic/prognostic assessments. Whilst an increase in the number/density of EEG electrodes should improve the sensitivity for detecting SEP-HFOs, this requires confirmation. By improving and standardising clinical SEP recording protocols to permit the acquisition/analysis of SEP-HFOs, it should be possible to gain important insights into the pathophysiology of neurological disorders and refine the management of conditions such as HIE.
Author(s): Simpson AJ, Cunningham MO, Baker MR
Publication type: Article
Publication status: Published
Journal: Brain Research Bulletin
Year: 2018
Volume: 137
Pages: 351-355
Print publication date: 01/03/2018
Online publication date: 02/02/2018
Acceptance date: 15/01/2018
ISSN (print): 0361-9230
ISSN (electronic): 1873-2747
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.brainresbull.2018.01.011
DOI: 10.1016/j.brainresbull.2018.01.011
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