EEG functional connectivity in infants at elevated familial likelihood for autism spectrum disorder.

ADOS Autism spectrum disorder Electroencephalography Functional connectivity Infants Longitudinal Sex differences Sibling studies Source reconstruction

Journal

Molecular autism
ISSN: 2040-2392
Titre abrégé: Mol Autism
Pays: England
ID NLM: 101534222

Informations de publication

Date de publication:
07 10 2023
Historique:
received: 06 05 2023
accepted: 29 09 2023
medline: 9 10 2023
pubmed: 8 10 2023
entrez: 7 10 2023
Statut: epublish

Résumé

Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy. We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N = 92) or elevated likelihood for ASD (N = 90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between cortical sources of EEG during video watching using the corrected imaginary part of phase-locking values. Our main analysis found no significant association between functional connectivity and ASD, showing only significant effects for age, sex, age-sex interaction, and site. Given these null results, we performed an exploratory analysis and observed, at 12 months, a negative correlation between functional connectivity and ADOS calibrated severity scores for restrictive and repetitive behaviors (RRB). The small sample of ASD participants inherent to sibling studies limits diagnostic group comparisons. Also, results from our secondary exploratory analysis should be considered only as potential relationships to further explore, given their increased vulnerability to false positives. These results are inconclusive concerning an association between EEG functional connectivity and ASD in infancy. Exploratory analyses provided preliminary support for a relationship between RRB and functional connectivity specifically, but these preliminary observations need corroboration on larger samples.

Sections du résumé

BACKGROUND
Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy.
METHODS
We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N = 92) or elevated likelihood for ASD (N = 90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between cortical sources of EEG during video watching using the corrected imaginary part of phase-locking values.
RESULTS
Our main analysis found no significant association between functional connectivity and ASD, showing only significant effects for age, sex, age-sex interaction, and site. Given these null results, we performed an exploratory analysis and observed, at 12 months, a negative correlation between functional connectivity and ADOS calibrated severity scores for restrictive and repetitive behaviors (RRB).
LIMITATIONS
The small sample of ASD participants inherent to sibling studies limits diagnostic group comparisons. Also, results from our secondary exploratory analysis should be considered only as potential relationships to further explore, given their increased vulnerability to false positives.
CONCLUSIONS
These results are inconclusive concerning an association between EEG functional connectivity and ASD in infancy. Exploratory analyses provided preliminary support for a relationship between RRB and functional connectivity specifically, but these preliminary observations need corroboration on larger samples.

Identifiants

pubmed: 37805500
doi: 10.1186/s13229-023-00570-5
pii: 10.1186/s13229-023-00570-5
pmc: PMC10559476
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

37

Subventions

Organisme : NIMH NIH HHS
ID : U54 MH066399
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH115913
Pays : United States
Organisme : NIH HHS
ID : U54MH066399
Pays : United States

Investigateurs

Simon Baron-Cohen (S)
Patrick Bolton (P)
Susie Chandler (S)
Tony Charman (T)
Janice Fernandes (J)
Holly Garwood (H)
Kristelle Hudryx (K)
Mark H Johnson (MH)
Leslie Tucker (L)
Agnes Volein (A)

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Christian O'Reilly (C)

Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA. christian.oreilly@sc.edu.
Artificial Intelligence Institute of South Carolina, University of South Carolina, 1112 Greene St, Columbia, SC, 29208, USA. christian.oreilly@sc.edu.
Carolina Autism and Neurodevelopment Research Center, University of South Carolina, Columbia, SC, USA. christian.oreilly@sc.edu.

Scott Huberty (S)

Azrieli Centre for Autism Research, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada.

Stefon van Noordt (S)

Department of Psychology, Mount Saint Vincent University, Halifax, NS, Canada.

James Desjardins (J)

Compute Ontario, St. Catharines, Canada.

Nicky Wright (N)

Department of Psychology, Manchester Metropolitan University, Manchester, UK.

Julie Scorah (J)

Azrieli Centre for Autism Research, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada.

Sara Jane Webb (SJ)

Seattle Children's Research Institute, Seattle, WA, USA.

Mayada Elsabbagh (M)

Azrieli Centre for Autism Research, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada.

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