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The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124777/ https://www.ncbi.nlm.nih.gov/pubmed/35313957 http://dx.doi.org/10.1186/s13229-021-00482-2 |
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author | Shic, Frederick Naples, Adam J. Barney, Erin C. Chang, Shou An Li, Beibin McAllister, Takumi Kim, Minah Dommer, Kelsey J. Hasselmo, Simone Atyabi, Adham Wang, Quan Helleman, Gerhard Levin, April R. Seow, Helen Bernier, Raphael Charwaska, Katarzyna Dawson, Geraldine Dziura, James Faja, Susan Jeste, Shafali Spurling Johnson, Scott P. Murias, Michael Nelson, Charles A. Sabatos-DeVito, Maura Senturk, Damla Sugar, Catherine A. Webb, Sara J. McPartland, James C. |
author_facet | Shic, Frederick Naples, Adam J. Barney, Erin C. Chang, Shou An Li, Beibin McAllister, Takumi Kim, Minah Dommer, Kelsey J. Hasselmo, Simone Atyabi, Adham Wang, Quan Helleman, Gerhard Levin, April R. Seow, Helen Bernier, Raphael Charwaska, Katarzyna Dawson, Geraldine Dziura, James Faja, Susan Jeste, Shafali Spurling Johnson, Scott P. Murias, Michael Nelson, Charles A. Sabatos-DeVito, Maura Senturk, Damla Sugar, Catherine A. Webb, Sara J. McPartland, James C. |
author_sort | Shic, Frederick |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-021-00482-2. |
format | Online Article Text |
id | pubmed-10124777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101247772023-04-25 The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials Shic, Frederick Naples, Adam J. Barney, Erin C. Chang, Shou An Li, Beibin McAllister, Takumi Kim, Minah Dommer, Kelsey J. Hasselmo, Simone Atyabi, Adham Wang, Quan Helleman, Gerhard Levin, April R. Seow, Helen Bernier, Raphael Charwaska, Katarzyna Dawson, Geraldine Dziura, James Faja, Susan Jeste, Shafali Spurling Johnson, Scott P. Murias, Michael Nelson, Charles A. Sabatos-DeVito, Maura Senturk, Damla Sugar, Catherine A. Webb, Sara J. McPartland, James C. Mol Autism Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-021-00482-2. BioMed Central 2022-03-21 /pmc/articles/PMC10124777/ /pubmed/35313957 http://dx.doi.org/10.1186/s13229-021-00482-2 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shic, Frederick Naples, Adam J. Barney, Erin C. Chang, Shou An Li, Beibin McAllister, Takumi Kim, Minah Dommer, Kelsey J. Hasselmo, Simone Atyabi, Adham Wang, Quan Helleman, Gerhard Levin, April R. Seow, Helen Bernier, Raphael Charwaska, Katarzyna Dawson, Geraldine Dziura, James Faja, Susan Jeste, Shafali Spurling Johnson, Scott P. Murias, Michael Nelson, Charles A. Sabatos-DeVito, Maura Senturk, Damla Sugar, Catherine A. Webb, Sara J. McPartland, James C. The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title | The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title_full | The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title_fullStr | The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title_full_unstemmed | The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title_short | The Autism Biomarkers Consortium for Clinical Trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
title_sort | autism biomarkers consortium for clinical trials: evaluation of a battery of candidate eye-tracking biomarkers for use in autism clinical trials |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124777/ https://www.ncbi.nlm.nih.gov/pubmed/35313957 http://dx.doi.org/10.1186/s13229-021-00482-2 |
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