A sensory signature of unaffected biological parents predicts the risk of autism in their offspring

Author:

Chen Chenyi123ORCID,Cheng Yawei45,Wu Chien‐Te6,Chiang Chung‐Hsin7,Wong Ching‐Ching8,Huang Chih‐Mao910,Martínez Róger Marcelo111,Tzeng Ovid J. L.9121314,Fan Yang‐Teng15

Affiliation:

1. Graduate Institute of Injury Prevention and Control, College of Public Health Taipei Medical University Taipei Taiwan

2. Graduate Institute of Mind, Brain and Consciousness, College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan

3. Psychiatric Research Center, Wan Fang Hospital Taipei Medical University Taipei Taiwan

4. Institute of Neuroscience and Brain Research Center National Yang Ming Chiao Tung University Taipei Taiwan

5. Department of Physical Medicine and Rehabilitation National Yang Ming Chiao Tung University Hospital Yilan Taiwan

6. International Research Center for Neurointelligence (WPI‐IRCN) The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo Tokyo Japan

7. Department of Psychology and Research Center for Mind, Brain and Learning National Chengchi University Taipei Taiwan

8. Child Developmental Assessment & Intervention Center, Department of Child & Adolescent Psychiatry Taipei City Hospital Taipei Taiwan

9. Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan

10. Center for Intelligent Drug Systems and Smart Bio‐devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan

11. School of Psychological Sciences National Autonomous University of Honduras Tegucigalpa Honduras

12. Cognitive Neuroscience Laboratory Institute of Linguistics, Academia Sinica Taipei Taiwan

13. College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan

14. Department of Educational Psychology and Counseling National Taiwan Normal University Taipei Taiwan

15. Graduate Institute of Medicine Yuan Ze University Taoyuan Taiwan

Abstract

AimDespite the emphasis on sensory dysfunction phenotypes in the revised diagnostic criteria for autism spectrum disorder (ASD), there has been limited research, particularly in the field of neurobiology, investigating the concordance in sensory features between individuals with ASD and their genetic relatives. Therefore, our objective was to examine whether neurobehavioral sensory patterns could serve as endophenotypic markers for ASD.MethodsWe combined questionnaire‐ and lab‐based sensory evaluations with sensory fMRI measures to examine the patterns of sensory responsivity in 30 clinically diagnosed with ASD, 26 matched controls (CON), and 48 biological parents for both groups (27 parents of individuals with ASD [P‐ASD] and 21 for individuals with CON [P‐CON]).ResultsThe ASD and P‐ASD groups had higher sensory responsivity and rated sensory stimuli as more unpleasant than the CON and P‐CON groups, respectively. They also exhibited greater hemodynamic responses within the sensory cortices. Overlapping activations were observed within these sensory cortices in the ASD and P‐ASD groups. Using a machine learning approach with robust prediction models across cohorts, we demonstrated that the sensory profile of biological parents accurately predicted the likelihood of their offspring having ASD, achieving a prediction accuracy of 71.4%.ConclusionsThese findings provide support for the hereditary basis of sensory alterations in ASD and suggest a potential avenue to improve ASD diagnosis by utilizing the sensory signature of biological parents, especially in families with a high risk of ASD. This approach holds promising prospects for early detection, even before the birth of the offspring.

Funder

NSTC

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical),Neurology,General Medicine,General Neuroscience

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3