Tripolar concentric ring electrodes for capturing localised electroencephalography signals during sleep

被引:2
作者
Stuart, Nicole [1 ,2 ,3 ]
Manners, Jack [1 ,2 ]
Kemps, Eva [2 ]
Nguyen, Phuc [1 ]
Lechat, Bastien [1 ]
Catcheside, Peter [1 ]
Scott, Hannah [1 ]
机构
[1] Flinders Univ S Australia, Flinders Hlth & Med Res Inst Sleep Hlth, Adelaide, SA, Australia
[2] Flinders Univ S Australia, Coll Educ Psychol & Social Work, Adelaide, SA, Australia
[3] Flinders Univ S Australia, Flinders Hlth & Med Res Inst Sleep Hlth, Adelaide, SA 5001, Australia
关键词
EEG acquisition; healthy sleepers; quantitative EEG; sleep stages; TCRE; tripolar concentric ring electrodes; EEG; CONTAMINATION; ARTIFACTS; EMG;
D O I
10.1111/jsr.14203
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
By design, tripolar concentric ring electrodes (TCRE) provide more focal brain activity signals than conventional electroencephalography (EEG) electrodes placed further apart. This study compared spectral characteristics and rates of data loss to noisy epochs with TCRE versus conventional EEG signals recorded during sleep. A total of 20 healthy sleepers (12 females; mean [standard deviation] age 27.8 [9.6] years) underwent a 9-h sleep study. Participants were set up for polysomnography recording with TCRE to assess brain activity from 18 sites and conventional electrodes for EEG, eyes, and muscle movement. A fast Fourier transform using multitaper-based estimation was applied in 5-s epochs to scored sleep. Odds ratios with Bonferroni-adjusted 95% confidence intervals were calculated to determine the proportional differences in the number of noisy epochs between electrode types. Relative power was compared in frequency bands throughout sleep. Linear mixed models showed significant main effects of signal type (p < 0.001) and sleep stage (p < 0.001) on relative spectral power in each power band, with lower relative spectral power across all stages in TCRE versus EEG in alpha, beta, sigma, and theta activity, and greater delta power in all stages. Scalp topography plots showed distinct beta activation in the right parietal lobe with TCRE versus EEG. EEG showed higher rates of noisy epochs compared to TCRE (1.3% versus 0.8%, p < 0.001). TCRE signals showed marked differences in brain activity compared to EEG, consistent with more focal measurements and region-specific differences during sleep. TCRE may be useful for evaluating regional differences in brain activity with reduced muscle artefact compared to conventional EEG.
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页数:10
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共 28 条
  • [1] Spatial enhancement of EEG data by surface Laplacian estimation: the use of magnetic resonance imaging-based head models
    Babiloni, F
    Cincotti, F
    Carducci, F
    Rossini, PM
    Babiloni, C
    [J]. CLINICAL NEUROPHYSIOLOGY, 2001, 112 (05) : 724 - 727
  • [2] Benbadis SR, 2006, SLEEP: A COMPREHENSIVE HANDBOOK, P989
  • [3] Berry R.B., 2020, The AASM Manual for the Scoring of Sleep and Associated Events: Rules, DOI DOI 10.1093/SLEEP/ZSY146
  • [4] Effects of transcranial focal electrical stimulation via tripolar concentric ring electrodes on pentylenetetrazole-induced seizures in rats
    Besio, W. G.
    Makeyev, O.
    Medvedev, A.
    Gale, K.
    [J]. EPILEPSY RESEARCH, 2013, 105 (1-2) : 42 - 51
  • [5] High-Frequency Oscillations Recorded on the Scalp of Patients With Epilepsy Using Tripolar Concentric Ring Electrodes
    Besio, Walter G.
    Martinez-Juarez, Iris E.
    Makeyev, Oleksandr
    Gaitanis, John N.
    Blum, Andrew S.
    Fishers, Robert S.
    Medvedev, Andrei V.
    [J]. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 2014, 2 (02):
  • [6] Tri-polar concentric ring electrode development for Laplacian electroencephalography
    Besio, WG
    Koka, K
    Aakula, R
    Dai, WZ
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (05) : 926 - 933
  • [7] Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view
    Burle, Boris
    Spieser, Laure
    Roger, Clernence
    Casini, Laurence
    Hasbroucq, Thierry
    Vidal, Franck
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2015, 97 (03) : 210 - 220
  • [8] EMG and EOG artifacts in brain computer interface systems: A survey
    Fatourechi, Mehrdad
    Bashashati, Ali
    Ward, Rabab K.
    Birch, Gary E.
    [J]. CLINICAL NEUROPHYSIOLOGY, 2007, 118 (03) : 480 - 494
  • [9] EMG contamination of EEG: spectral and topographical characteristics
    Goncharova, II
    McFarland, DJ
    Vaughan, TM
    Wolpaw, JR
    [J]. CLINICAL NEUROPHYSIOLOGY, 2003, 114 (09) : 1580 - 1593
  • [10] MEG and EEG data analysis with MNE-Python']Python
    Gramfort, Alexandre
    Luessi, Martin
    Larson, Eric
    Engemann, Denis A.
    Strohmeier, Daniel
    Brodbeck, Christian
    Goj, Roman
    Jas, Mainak
    Brooks, Teon
    Parkkonen, Lauri
    Haemaelaeinen, Matti
    [J]. FRONTIERS IN NEUROSCIENCE, 2013, 7