Abigail Dickinson , Declan Ryan , Gabrielle McNaughton , April Levin , Adam Naples , Heather Borland , Raphael Bernier , Katarzyna Chawarska , Geraldine Dawson , James Dziura , Susan Faja , Natalia Kleinhans , Catherine Sugar , Damla Senturk , Frederick Shic , Sara Jane Webb , James C. McPartland , Shafali Jeste , for the Autism Biomarkers Consortium for Clinical Trials
{"title":"Parsing evoked and induced gamma response differences in Autism: A visual evoked potential study","authors":"Abigail Dickinson , Declan Ryan , Gabrielle McNaughton , April Levin , Adam Naples , Heather Borland , Raphael Bernier , Katarzyna Chawarska , Geraldine Dawson , James Dziura , Susan Faja , Natalia Kleinhans , Catherine Sugar , Damla Senturk , Frederick Shic , Sara Jane Webb , James C. McPartland , Shafali Jeste , for the Autism Biomarkers Consortium for Clinical Trials","doi":"10.1016/j.clinph.2024.05.015","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>Electroencephalography (EEG) measures of visual evoked potentials (VEPs) provide a targeted approach for investigating neural circuit dynamics. This study separately analyses phase-locked (evoked) and non-phase-locked (induced) gamma responses within the VEP to comprehensively investigate circuit differences in autism.</p></div><div><h3>Methods</h3><p>We analyzed VEP data from 237 autistic and 114 typically developing (TD) children aged 6–11, collected through the Autism Biomarkers Consortium for Clinical Trials (ABC-CT). Evoked and induced gamma (30–90 Hz) responses were separately quantified using a wavelet-based time–frequency analysis, and group differences were evaluated using a permutation-based clustering procedure.</p></div><div><h3>Results</h3><p>Autistic children exhibited reduced evoked gamma power but increased induced gamma power compared to TD peers. Group differences in induced responses showed the most prominent effect size and remained statistically significant after excluding outliers.</p></div><div><h3>Conclusions</h3><p>Our study corroborates recent research indicating diminished evoked gamma responses in children with autism. Additionally, we observed a pronounced increase in induced power. Building upon existing ABC-CT findings, these results highlight the potential to detect variations in gamma-related neural activity, despite the absence of significant group differences in time-domain VEP components.</p></div><div><h3>Significance</h3><p>The contrasting patterns of decreased evoked and increased induced gamma activity in autistic children suggest that a combination of different EEG metrics may provide a clearer characterization of autism-related circuitry than individual markers alone.</p></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245724001652","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
Electroencephalography (EEG) measures of visual evoked potentials (VEPs) provide a targeted approach for investigating neural circuit dynamics. This study separately analyses phase-locked (evoked) and non-phase-locked (induced) gamma responses within the VEP to comprehensively investigate circuit differences in autism.
Methods
We analyzed VEP data from 237 autistic and 114 typically developing (TD) children aged 6–11, collected through the Autism Biomarkers Consortium for Clinical Trials (ABC-CT). Evoked and induced gamma (30–90 Hz) responses were separately quantified using a wavelet-based time–frequency analysis, and group differences were evaluated using a permutation-based clustering procedure.
Results
Autistic children exhibited reduced evoked gamma power but increased induced gamma power compared to TD peers. Group differences in induced responses showed the most prominent effect size and remained statistically significant after excluding outliers.
Conclusions
Our study corroborates recent research indicating diminished evoked gamma responses in children with autism. Additionally, we observed a pronounced increase in induced power. Building upon existing ABC-CT findings, these results highlight the potential to detect variations in gamma-related neural activity, despite the absence of significant group differences in time-domain VEP components.
Significance
The contrasting patterns of decreased evoked and increased induced gamma activity in autistic children suggest that a combination of different EEG metrics may provide a clearer characterization of autism-related circuitry than individual markers alone.
期刊介绍:
As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology.
Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.