Literature DB >> 22715485

EEG from a single-channel dry-sensor recording device.

Stuart J Johnstone1, Russell Blackman, Jason M Bruggemann.   

Abstract

While a laboratory setting and research-grade electroencephalogram (EEG) equipment allow control of variables and high-quality multiple-channel EEG recording, there are situations and populations for which this is not suitable. The present studies examined the validity of a new method of single-channel EEG measurement that is portable and uses dry-sensor technology. In study 1, EEG was recorded simultaneously from the portable device and 4 standard EEG electrodes from a research system, during eyes open (EO) and eyes closed (EC) resting conditions, with 20 adult participants. Average correlations with the research system frequency spectra were highest at site F3 for portable device data processed onboard of the device (r = .90), and for device data processed in a standard manner (r = .89). Further, predictable variations in EO versus EC comparisons were observed. In study 2, twenty-three healthy children had EEGs recorded from the portable device during EO and EC resting conditions, and 3 EO active conditions (ie, relaxation, attention, and cognitive load). Absolute and relative EEG band power differed between conditions in predicted ways, including a reduction in relative theta power and an increase in relative alpha power in EC compared to EO resting conditions. Overall, the results suggest that, while limited in terms of scalp recording locations, the portable device has potential utility in certain EEG recording situations where ease of use is a priority.

Entities:  

Mesh:

Year:  2012        PMID: 22715485     DOI: 10.1177/1550059411435857

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  17 in total

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Journal:  Front Cell Neurosci       Date:  2022-06-14       Impact factor: 6.147

4.  Mobile Neurofeedback for Pain Management in Veterans with TBI and PTSD.

Authors:  Eric B Elbogen; Amber Alsobrooks; Sara Battles; Kiera Molloy; Paul A Dennis; Jean C Beckham; Samuel A McLean; Julian R Keith; Carmen Russoniello
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5.  The effect of the video game Mindlight on anxiety symptoms in children with an Autism Spectrum Disorder.

Authors:  Lieke A M W Wijnhoven; Daan H M Creemers; Rutger C M E Engels; Isabela Granic
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6.  Mind-controlled transgene expression by a wireless-powered optogenetic designer cell implant.

Authors:  Marc Folcher; Sabine Oesterle; Katharina Zwicky; Thushara Thekkottil; Julie Heymoz; Muriel Hohmann; Matthias Christen; Marie Daoud El-Baba; Peter Buchmann; Martin Fussenegger
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7.  Signal Quality Evaluation of Emerging EEG Devices.

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Journal:  Front Physiol       Date:  2018-02-14       Impact factor: 4.566

Review 8.  Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.

Authors:  Alex Lau-Zhu; Michael P H Lau; Gráinne McLoughlin
Journal:  Dev Cogn Neurosci       Date:  2019-03-08       Impact factor: 6.464

9.  Acute single channel EEG predictors of cognitive function after stroke.

Authors:  Anna Aminov; Jeffrey M Rogers; Stuart J Johnstone; Sandy Middleton; Peter H Wilson
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

10.  In-Game Play Behaviours during an Applied Video Game for Anxiety Prevention Predict Successful Intervention Outcomes.

Authors:  Aniek Wols; Anna Lichtwarck-Aschoff; Elke A Schoneveld; Isabela Granic
Journal:  J Psychopathol Behav Assess       Date:  2018-06-11
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