Literature DB >> 31812081

Natural alpha frequency components in resting EEG and their relation to arousal.

Robert J Barry1, Frances M De Blasio2, Jack S Fogarty2, Adam R Clarke2.   

Abstract

OBJECTIVE: Global EEG alpha activity is negatively correlated with skin conductance level (SCL), supporting alpha as an inverse marker of arousal. Frequency Principal Components Analysis (f-PCA) of resting EEG amplitude spectra has demonstrated natural components in the alpha band of healthy persons. This is a preliminary exploration of whether such components differ with arousal, possibly underpinning the anomalous ADHD hypoarousal link to reduced alpha.
METHOD: Twenty-seven right-handed undergraduate students participated in three 2 minute blocks of resting eyes-open/closed EEG and SCL: EO1, EC, EO2. For each condition, mean EEG spectra were submitted to separate f-PCAs.
RESULTS: The inverse alpha/SCL relationship was confirmed for band amplitudes. EO had two alpha components; both correlated negatively with SCL. EC alpha contained four components, but only one had a substantial negative correlation with SCL; two had no relationship, suggesting natural alpha components with different non-arousal functionality in EC.
CONCLUSION: Some alpha components in both EC and EO reflect arousal, with other non-arousal components in EC. Our f-PCA approach offers insight into previously-noted alpha anomalies in disorders such as ADHD. SIGNIFICANCE: This proof of concept demonstration in typical participants may provide the basis for a new research effort in clinical disorders involving atypical arousal patterns.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arousal; EEG alpha amplitude; Frequency PCA; Resting EEG; Skin conductance level (SCL)

Mesh:

Year:  2019        PMID: 31812081     DOI: 10.1016/j.clinph.2019.10.018

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State.

Authors:  Povilas Tarailis; Frances M De Blasio; Dovile Simkute; Inga Griskova-Bulanova
Journal:  J Pers Med       Date:  2022-05-29

2.  A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA.

Authors:  Ezra E Smith; Tarik S Bel-Bahar; Jürgen Kayser
Journal:  Psychophysiology       Date:  2022-04-27       Impact factor: 4.348

3.  A randomized controlled study of remote computerized cognitive, neurofeedback, and combined training in the treatment of children with attention-deficit/hyperactivity disorder.

Authors:  Xiangsheng Luo; Xiaojie Guo; Qihua Zhao; Yu Zhu; Yanbo Chen; Dawei Zhang; Han Jiang; Yufeng Wang; Stuart Johnstone; Li Sun
Journal:  Eur Child Adolesc Psychiatry       Date:  2022-02-19       Impact factor: 4.785

4.  Atypical Electrophysiological Indices of Eyes-Open and Eyes-Closed Resting-State in Children and Adolescents with ADHD and Autism.

Authors:  Alessio Bellato; Iti Arora; Puja Kochhar; Chris Hollis; Madeleine J Groom
Journal:  Brain Sci       Date:  2020-05-01
  4 in total

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