Investigating neural dynamics in autism spectrum conditions outside of the laboratory using mobile electroencephalography
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Giannadou, Aikaterini
ORCID
Sheffield Autism Research Lab, University of Sheffield, Sheffield, UK
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Jones, Myles
Sheffield Autism Research Lab, University of Sheffield, Sheffield, UK
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Freeth, Megan
Sheffield Autism Research Lab, University of Sheffield, Sheffield, UK
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Samson, Andrea C.
ORCID
Institute of Special Education, University of Fribourg, Fribourg, Switzerland. Faculty of Psychology, UniDistance Suisse, Switzerland
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Milne, Elizabeth
Sheffield Autism Research Lab, University of Sheffield, Sheffield, UK
Published in:
- Psychophysiology. - 2022, vol. 59, no. 4, p. e13995
English
There is currently a paucity of neuroscientific data recorded from more severely affected individuals with autism spectrum conditions (ASC). Enabling data collection to take place in a more familiar environment, that is, at home, may increase access to research participation in this group. Here, we present a new accessible method of studying brain activity of autistic individuals outside the laboratory in their home environment, using mobile electroencephalography (EEG) technology. The primary aim of the present study was to test the feasibility of acquiring good quality EEG data from autistic children at home, assessed via a set of objective data quality metrics, and to develop a list of practical guidelines on how to successfully conduct an EEG experiment in such a naturalistic setting based directly upon participants’ views. To demonstrate the utility of this method, we evaluated the EEG signal quality recorded from 69 children with ASC at home using a gel-based Eego Sports mobile EEG system. Five key indicators of data quality were assessed. Our results demonstrate that it is possible to record high quality EEG signal from children with ASC at home, generating data that could address a number of research questions. A user experience survey identified areas of good practice, which researchers should take into consideration when designing mobile EEG studies aiming to acquire data from children with ASC at a home environment.
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https://n2t.net/ark:/51647/srd1323772
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