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A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research
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Comparing different EEG connectivity methods in young males with ASD.

Kimaya Sarmukadam1, Vicki Bitsika1, Christopher F Sharpley1

  • 1Brain-Behaviour Research Group, University of New England, Armidale, New South Wales, 2350, Australia.

Behavioural Brain Research
|January 24, 2020
PubMed
Summary

Investigating Autism Spectrum Disorder (ASD) brain connectivity reveals limited agreement between five EEG methods. Methodological re-evaluation is needed for accurate neural connectivity and behavior links in ASD research.

Keywords:
Autism spectrum disorderBrain connectivity

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Area of Science:

  • Neuroscience
  • Autism Spectrum Disorder Research
  • Brain Connectivity

Background:

  • Autism Spectrum Disorder (ASD) research frequently utilizes electroencephalography (EEG) connectivity data to model brain-behavior associations.
  • Inconsistent findings across studies stem from the wide array of EEG connectivity methods employed.

Purpose of the Study:

  • To assess the agreement between five common EEG connectivity methods.
  • To evaluate the reliability of current methodologies in linking neural connectivity to ASD behaviors.

Main Methods:

  • EEG data were collected from 41 young males diagnosed with ASD.
  • Five EEG connectivity metrics were analyzed: Coherence, Weighted Phased Lag Index-Debiased, Phase Locking Value, Phase Slope Index, and Granger Causality.
  • Data were acquired under both eyes-open and eyes-closed conditions.

Main Results:

  • A low level of statistically significant correlation was observed between the results from the five distinct EEG connectivity methods.
  • The findings indicate considerable variability in how these methods capture brain connectivity patterns in individuals with ASD.

Conclusions:

  • Current EEG connectivity methodologies show limited agreement, challenging the consistent association between neural indices and ASD behaviors.
  • Re-evaluation and specific matching of connectivity methods to research questions are crucial for advancing our understanding of ASD neural underpinnings.