The Autism Biomarkers Consortium for Clinical Trials (ABC-CT): Scientific Context, Study Design, and Progress Toward Biomarker Qualification

McPartland, James C.; Bernier, Raphael; Jeste, Shafali; Dawson, Geraldine; Nelson, Charles A.; Chawarska, Katarzyna; Earl, Rachel K.; Faja, Susan; Johnson, Scott P.; Sikich, Linmarie; Brandt, Cynthia; Dziura, James; Rozenblit, Leon; Hellemann, Gerhard; Levin, April R.; Murias, Michael; Naples, Adam; Platt, Michael L.; Sabatos‐DeVito, Maura; Shic, Frederick; Şentürk, Damla; Sugar, Catherine A.; Webb, Sara Jane

doi:10.3389/fnint.2020.00016

Cited by 90 publications

(85 citation statements)

References 22 publications

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“…These data were collected as part of the ongoing Autism Biomarkers Consortium for Clinical Trials (ABC-CT 1 ; McPartland, 2016). Details of the ABC-CT data acquisition are reported elsewhere (Webb et al, 2019;McPartland et al, 2020). The objective of the ABC-CT is to evaluate a set of electrophysiological (EEG), eye-tracking, and behavioral measures for use in clinical trials for ASD.…”

Section: Methodsmentioning

confidence: 99%

Day-to-Day Test-Retest Reliability of EEG Profiles in Children With Autism Spectrum Disorder and Typical Development

Levin

Naples

Scheffler

et al. 2020

Front. Integr. Neurosci.

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ABC-CT EEG Test-Retest Reliability exhibit idiosyncratic PSD signatures that are stable over recording sessions using both characterizations. Our data show that EEG activity from a brief 2-min recording provides an efficient window into characterizing brain activity at the single-subject level with desirable psychometric characteristics that persist across different analytical decomposition methods. This is a necessary step towards analytical validation of biomarkers based on the EEG PSD and provides insights into parameters of the PSD that offer short-term reliability (and thus promise as potential biomarkers of trait or diagnosis) vs. those that are more variable over the short term (and thus may index state or other rapidly dynamic measures of brain function). Future research should address the longer-term stability of the PSD, for purposes such as monitoring development or response to treatment.

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Section: Methodsmentioning

confidence: 99%

Day-to-Day Test-Retest Reliability of EEG Profiles in Children With Autism Spectrum Disorder and Typical Development

Levin

Naples

Scheffler

et al. 2020

Front. Integr. Neurosci.

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“…Several studies have validated the clinical utility of the PDDBI for determining behavioral profiles of children with ASD to guide treatment decisions (Cohen & Flory, 2019;Schutte et al, 2019). The PDDBI has also been used as an outcome measure in quasiexperimental and randomized controlled intervention trials (Holzinger et al, 2019;Mankad et al, 2015) and has been included in an extensive phenotyping battery for an ongoing biomarker qualification study (McPartland et al, 2020). Given the strong psychometric properties of the PDDBI and its widespread use in the field, it is important to understand the agreement between raters.…”

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confidence: 99%

Informant (Dis)Agreement on Ratings of Challenging Behaviors and Social Communication in Preschool Children With Autism Spectrum Disorder

Reetzke

Pfeiffer

Kalb

et al. 2021

J Speech Lang Hear Res

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Purpose Cross-informant ratings are considered best practice for assessing children with autism spectrum disorder (ASD). However, informant disagreement often occurs, which can pose significant challenges to various aspects of clinical services. This study explored the degree of parent and speech-language pathologist (SLP) agreement on ratings of challenging behaviors and social communication skills in preschool children with ASD. Method Fifty-eight informant ratings of challenging behaviors and social communication skills were collected from parents and SLPs on the same 29 preschool children with ASD ( M = 49.93 months, SD = 11.67 months) using the Pervasive Developmental Disorder Behavior Inventory. Parent versus SLP group rating comparisons were assessed with paired t tests and Cohen's d effect sizes. Intraclass correlation coefficients were calculated to examine interrater reliability between individual parent and SLP ratings. Bland–Altman plots were generated to evaluate informant agreement across the entire range of Pervasive Developmental Disorder Behavior Inventory composite scores. Results Group comparisons indicated that parents rated arousal regulation problems as more severe than SLPs, with no other group differences observed. Parents and SLPs exhibited poor agreement on ratings of challenging behaviors; however, moderate to good agreement was observed for social communication ratings. Conclusions These results highlight the importance of including parents in the assessment and treatment planning process for preschool children with ASD, as parents may report key behavioral concerns that clinicians may not otherwise observe. Understanding behaviors that may be more prone to informant disagreement has implications for promoting a shared understanding of behavioral concerns and treatment targets between parents and clinicians.

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“…Reliably measuring change in social functioning over time and across development remains a daunting challenge for the field. Similarly, at present, there are no validated early biomarkers for ASD in general that are clearly stable, reliable, and capture clinical change—though there is important ongoing work in this area [ 151 , 165 – 167 ]. In addition, the likelihood of small numbers of individuals in any clinical trial of this type would render the current strategies of comparing group means to assess ASD treatment efficacy quite challenging.…”

Section: Application To Clinical Care and Therapeuticsmentioning

confidence: 99%

Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders

Quick

Wang

State

2020

Neuropsychopharmacol.

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“Big data” approaches in the form of large-scale human genomic studies have led to striking advances in autism spectrum disorder (ASD) genetics. Similar to many other psychiatric syndromes, advances in genotyping technology, allowing for inexpensive genome-wide assays, has confirmed the contribution of polygenic inheritance involving common alleles of small effect, a handful of which have now been definitively identified. However, the past decade of gene discovery in ASD has been most notable for the application, in large family-based cohorts, of high-density microarray studies of submicroscopic chromosomal structure as well as high-throughput DNA sequencing—leading to the identification of an increasingly long list of risk regions and genes disrupted by rare, de novo germline mutations of large effect. This genomic architecture offers particular advantages for the illumination of biological mechanisms but also presents distinctive challenges. While the tremendous locus heterogeneity and functional pleiotropy associated with the more than 100 identified ASD-risk genes and regions is daunting, a growing armamentarium of comprehensive, large, foundational -omics databases, across species and capturing developmental trajectories, are increasingly contributing to a deeper understanding of ASD pathology.

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The Autism Biomarkers Consortium for Clinical Trials (ABC-CT): Scientific Context, Study Design, and Progress Toward Biomarker Qualification

Cited by 90 publications

References 22 publications

Day-to-Day Test-Retest Reliability of EEG Profiles in Children With Autism Spectrum Disorder and Typical Development

Day-to-Day Test-Retest Reliability of EEG Profiles in Children With Autism Spectrum Disorder and Typical Development

Informant (Dis)Agreement on Ratings of Challenging Behaviors and Social Communication in Preschool Children With Autism Spectrum Disorder

Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders

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