The autism biomarkers consortium for clinical trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials.

Autism spectrum disorder Biological motion Biomarkers Eye tracking Face processing Gaze pattern Visual attention

Journal

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

Informations de publication

Date de publication:
21 03 2022
Historique:
received: 05 07 2021
accepted: 20 12 2021
entrez: 22 3 2022
pubmed: 23 3 2022
medline: 28 4 2022
Statut: epublish

Résumé

Eye tracking (ET) is a powerful methodology for studying attentional processes through quantification of eye movements. The precision, usability, and cost-effectiveness of ET render it a promising platform for developing biomarkers for use in clinical trials for autism spectrum disorder (ASD). The autism biomarkers consortium for clinical trials conducted a multisite, observational study of 6-11-year-old children with ASD (n = 280) and typical development (TD, n = 119). The ET battery included: Activity Monitoring, Social Interactive, Static Social Scenes, Biological Motion Preference, and Pupillary Light Reflex tasks. A priori, gaze to faces in Activity Monitoring, Social Interactive, and Static Social Scenes tasks were aggregated into an Oculomotor Index of Gaze to Human Faces (OMI) as the primary outcome measure. This work reports on fundamental biomarker properties (data acquisition rates, construct validity, six-week stability, group discrimination, and clinical relationships) derived from these assays that serve as a base for subsequent development of clinical trial biomarker applications. All tasks exhibited excellent acquisition rates, met expectations for construct validity, had moderate or high six-week stabilities, and highlighted subsets of the ASD group with distinct biomarker performance. Within ASD, higher OMI was associated with increased memory for faces, decreased autism symptom severity, and higher verbal IQ and pragmatic communication skills. No specific interventions were administered in this study, limiting information about how ET biomarkers track or predict outcomes in response to treatment. This study did not consider co-occurrence of psychiatric conditions nor specificity in comparison with non-ASD special populations, therefore limiting our understanding of the applicability of outcomes to specific clinical contexts-of-use. Research-grade protocols and equipment were used; further studies are needed to explore deployment in less standardized contexts. All ET tasks met expectations regarding biomarker properties, with strongest performance for tasks associated with attention to human faces and weakest performance associated with biological motion preference. Based on these data, the OMI has been accepted to the FDA's Biomarker Qualification program, providing a path for advancing efforts to develop biomarkers for use in clinical trials.

Sections du résumé

BACKGROUND
Eye tracking (ET) is a powerful methodology for studying attentional processes through quantification of eye movements. The precision, usability, and cost-effectiveness of ET render it a promising platform for developing biomarkers for use in clinical trials for autism spectrum disorder (ASD).
METHODS
The autism biomarkers consortium for clinical trials conducted a multisite, observational study of 6-11-year-old children with ASD (n = 280) and typical development (TD, n = 119). The ET battery included: Activity Monitoring, Social Interactive, Static Social Scenes, Biological Motion Preference, and Pupillary Light Reflex tasks. A priori, gaze to faces in Activity Monitoring, Social Interactive, and Static Social Scenes tasks were aggregated into an Oculomotor Index of Gaze to Human Faces (OMI) as the primary outcome measure. This work reports on fundamental biomarker properties (data acquisition rates, construct validity, six-week stability, group discrimination, and clinical relationships) derived from these assays that serve as a base for subsequent development of clinical trial biomarker applications.
RESULTS
All tasks exhibited excellent acquisition rates, met expectations for construct validity, had moderate or high six-week stabilities, and highlighted subsets of the ASD group with distinct biomarker performance. Within ASD, higher OMI was associated with increased memory for faces, decreased autism symptom severity, and higher verbal IQ and pragmatic communication skills.
LIMITATIONS
No specific interventions were administered in this study, limiting information about how ET biomarkers track or predict outcomes in response to treatment. This study did not consider co-occurrence of psychiatric conditions nor specificity in comparison with non-ASD special populations, therefore limiting our understanding of the applicability of outcomes to specific clinical contexts-of-use. Research-grade protocols and equipment were used; further studies are needed to explore deployment in less standardized contexts.
CONCLUSIONS
All ET tasks met expectations regarding biomarker properties, with strongest performance for tasks associated with attention to human faces and weakest performance associated with biological motion preference. Based on these data, the OMI has been accepted to the FDA's Biomarker Qualification program, providing a path for advancing efforts to develop biomarkers for use in clinical trials.

Identifiants

pubmed: 35313957
doi: 10.1186/s13229-021-00482-2
pii: 10.1186/s13229-021-00482-2
pmc: PMC10124777
doi:

Substances chimiques

Biomarkers 0

Banques de données

ClinicalTrials.gov
['NCT02996669']

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

15

Subventions

Organisme : NIMH NIH HHS
ID : K01 MH104739
Pays : United States
Organisme : FDA HHS
ID : U01 FD007000
Pays : United States
Organisme : NIMH NIH HHS
ID : U19 MH108206
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Frederick Shic (F)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA. fshic@uw.edu.
Department of General Pediatrics, University of Washington School of Medicine, Seattle, WA, USA. fshic@uw.edu.

Adam J Naples (AJ)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Erin C Barney (EC)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.
Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Shou An Chang (SA)

Department of Psychology, Yale University, 2 Hillhouse Ave, New Haven, CT, 06520, USA.

Beibin Li (B)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.
Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

Takumi McAllister (T)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Minah Kim (M)

Department of Psychology, University of Virginia, 102 Gilmer Hall, P.O. Box 400400, Charlottesville, VA, 22904, USA.

Kelsey J Dommer (KJ)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.

Simone Hasselmo (S)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Adham Atyabi (A)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.
Department of General Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.
Department of Computer Science, University of Colorado - Colorado Springs, Colorado Springs, CO, USA.

Quan Wang (Q)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Gerhard Helleman (G)

Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

April R Levin (AR)

Department of Neurology, Boston Children's Hospital, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.

Helen Seow (H)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Raphael Bernier (R)

Department of Psychiatry and Behavioral Science, University of Washington School of Medicine, Seattle, WA, USA.

Katarzyna Charwaska (K)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA.

Geraldine Dawson (G)

Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA.

James Dziura (J)

Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA.

Susan Faja (S)

Harvard Medical School, Boston, MA, USA.
Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.

Shafali Spurling Jeste (SS)

Division of Neurology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.

Scott P Johnson (SP)

Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.

Michael Murias (M)

Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, USA.

Charles A Nelson (CA)

Harvard Medical School, Boston, MA, USA.
Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Graduate School of Education, Harvard University, Boston, MA, USA.

Maura Sabatos-DeVito (M)

Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA.

Damla Senturk (D)

Department of Biostatistics, University of California Los Angeles, Los Angeles, CA, USA.

Catherine A Sugar (CA)

Department of Biostatistics, University of California Los Angeles, Los Angeles, CA, USA.
Division of Neurology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA.

Sara J Webb (SJ)

Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, 1920 Terry Ave, Seattle, WA, 98101, USA.
Department of Psychiatry and Behavioral Science, University of Washington School of Medicine, Seattle, WA, USA.

James C McPartland (JC)

Yale Child Study Center, Yale University School of Medicine, 230 South Frontage Road, New Haven, CT, 06520, USA. james.mcpartland@yale.edu.

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