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Published on: April 12, 2018
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Parsing evoked and induced gamma response differences in Autism: A visual evoked potential study
Abigail Dickinson1, Declan Ryan1, Gabrielle McNaughton1
1Center for Autism Research and Treatment, Semel Institute for Neuroscience, University of California, Los Angeles, USA.
Summary
Autistic children show lower evoked gamma power but higher induced gamma power in visual evoked potentials (VEPs). These distinct EEG patterns may help characterize autism-related neural circuitry.
Area of Science:
- Neuroscience
- Autism Spectrum Disorder Research
- Electroencephalography (EEG)
Background:
- Visual evoked potentials (VEPs) using electroencephalography (EEG) offer a method to study neural circuit dynamics.
- Investigating both phase-locked (evoked) and non-phase-locked (induced) gamma responses within VEPs can provide comprehensive insights into autism-related circuit differences.
Purpose of the Study:
- To analyze and compare evoked and induced gamma responses in the VEPs of autistic and typically developing children.
- To comprehensively investigate neural circuit differences in autism by examining distinct gamma response types.
Main Methods:
- Analysis of VEP data from 237 autistic and 114 typically developing children (ages 6-11) from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT).
- Quantification of evoked and induced gamma (30-90 Hz) responses using wavelet-based time-frequency analysis.
- Evaluation of group differences via a permutation-based clustering procedure.
Main Results:
- Autistic children demonstrated reduced evoked gamma power compared to typically developing peers.
- Autistic children exhibited increased induced gamma power relative to typically developing peers.
- Differences in induced responses showed the largest effect size and remained significant after outlier exclusion.
Conclusions:
- Findings align with research showing diminished evoked gamma responses in autism.
- A significant increase in induced gamma power was observed in autistic children.
- Contrasting evoked and induced gamma activity patterns suggest that combined EEG metrics offer a clearer characterization of autism-related circuitry.
