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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Guidelines and Best Practices for Electrophysiological Data Collection, Analysis and Reporting in Autism
Journal of autism and developmental disorders, v 45(2), pp 425-443
01 Feb 2015
PMCID: PMC4141903
PMID: 23975145
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The EEG reflects the activation of large populations of neurons that act in synchrony and propagate to the scalp surface. This activity reflects both the brain's background electrical activity and when the brain is being challenged by a task. Despite strong theoretical and methodological arguments for the use of EEG in understanding the neural correlates of autism, the practice of collecting, processing and evaluating EEG data is complex. Scientists should take into consideration both the nature of development in autism given the life-long, pervasive course of the disorder and the disability of altered or atypical social, communicative, and motor behaviors, all of which require accommodations to traditional EEG environments and paradigms. This paper presents guidelines for the recording, analyzing, and interpreting of EEG data with participants with autism. The goal is to articulate a set of scientific standards as well as methodological considerations that will increase the general field's understanding of EEG methods, provide support for collaborative projects, and contribute to the evaluation of results and conclusions.
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Details
- Title
- Guidelines and Best Practices for Electrophysiological Data Collection, Analysis and Reporting in Autism
- Creators
- Sara Jane Webb - University of WashingtonRaphael Bernier - University of WashingtonHeather A. Henderson - University of MiamiMark H. Johnson - Birkbeck, University of LondonEmily J. H. Jones - Birkbeck, University of LondonMatthew D. Lerner - Stony Brook UniversityJames C. McPartland - Yale UniversityCharles A. Nelson - Boston Children's HospitalDonald C. Rojas - University of Colorado DenverJeanne Townsend - University of California, San DiegoMarissa Westerfield - University of California, San Diego
- Publication Details
- Journal of autism and developmental disorders, v 45(2), pp 425-443
- Publisher
- Springer Nature
- Number of pages
- 19
- Grant note
- G0701484 / MRC; UK Research & Innovation (UKRI); Medical Research Council UK (MRC) 7221 / Autistica G0701484 / Medical Research Council; UK Research & Innovation (UKRI); Medical Research Council UK (MRC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000348935800012
- Scopus ID
- 2-s2.0-85028236907
- Other Identifier
- 991021862312004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Psychology, Developmental