Cited by 217Autism Spectrum Disorder ResearchEEG and Brain-Computer InterfacesNeural dynamics and brain function

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Increased Intra-Participant Variability in Children with Autistic Spectrum Disorders: Evidence from Single-Trial Analysis of Evoked EEG

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Milne, Elizabeth·2011·Frontiers in Psychology

DOI 10.3389/fpsyg.2011.00051PMC PMC3110871

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Abstract

Intra-participant variability in clinical conditions such as autistic spectrum disorder (ASD) is an important indicator of pathophysiological processing. The data reported here illustrate that trial-by-trial variability can be reliably measured from EEG, and that intra-participant EEG variability is significantly greater in those with ASD than in neuro-typical matched controls. EEG recorded at the scalp is a linear mixture of activity arising from muscle artifacts and numerous concurrent brain processes. To minimize these additional sources of variability, EEG data were subjected to two different methods of spatial filtering. (i) The data were decomposed using infomax independent component analysis, a method of blind source separation which un-mixes the EEG signal into components with maximally independent time-courses, and (ii) a surface Laplacian transform was performed (current source density interpolation) in order to reduce the effects of volume conduction. Data are presented from 13 high functioning adolescents with ASD without co-morbid ADHD, and 12 neuro-typical age-, IQ-, and gender-matched controls. Comparison of variability between the ASD and neuro-typical groups indicated that intra-participant variability of P1 latency and P1 amplitude was greater in the participants with ASD, and inter-trial α-band phase coherence was lower in the participants with ASD. These data support the suggestion that individuals with ASD are less able to synchronize the activity of stimulus-related cell assemblies than neuro-typical individuals, and provide empirical evidence in support of theories of increased neural noise in ASD.

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Authors: Milne, E.
Affiliations: University of Sheffield (GB)
Corresponding author: Milne, Elizabeth
ORCID: Milne, Elizabeth
Venue: Frontiers in Psychology
Publisher: Frontiers Media SA
Published: 2011
Volume: 2
Pages: 51-51
ISSN: 1664-1078 (ISSN-L)
DOI: 10.3389/fpsyg.2011.00051
PMC: PMC3110871
OpenAlex: W2031410002
Cited by: 217
References: 68
Citations by year: 2026: 11 · 2025: 11 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 17 · 2020: 13 · 2019: 19 · 2018: 16 · 2017: 16 · 2016: 16 · 2015: 14 · 2014: 14 · 2013: 7 · 2012: 7
FWCI: 4.87
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Frontiers in Psychology (publishedVersion, cc-by)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: autism spectrum disorder, trial-to-trial variability, single-trial EEG, P1 component, neuronal synchronization, neural noise, volume conduction

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Increased Intra-Participant Variability in Children with Autistic Spectrum Disorders: Evidence from Single-Trial Analysis of Evoked EEG

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