Evidence map›Paper›PMID 37807577›Full record

ArticlePsychiatry and clinical neurosciences2024

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

Chenyi Chen, Yawei Cheng, Chien-Te Wu, Chung-Hsin Chiang, Ching-Ching Wong, Chih-Mao Huang, Róger Marcelo Martínez, Ovid J L Tzeng, Yang-Teng Fan

Open access · bronzeAbstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. An Umbrella Review of the Fusion of fMRI and AI in Autism.Diagnostics (Basel, Switzerland) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 4 countries.

Chenyi Chen *Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-8050-6754
Yawei Cheng *Institute of Neuroscience and Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chien-Te WuInternational Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.
Chung-Hsin ChiangDepartment of Psychology and Research Center for Mind, Brain and Learning, National Chengchi University, Taipei, Taiwan.
Ching-Ching WongChild Developmental Assessment & Intervention Center, Department of Child & Adolescent Psychiatry, Taipei City Hospital, Taipei, Taiwan.
Chih-Mao HuangDepartment of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Róger Marcelo MartínezGraduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Ovid J L TzengDepartment of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Yang-Teng FanGraduate Institute of Medicine, Yuan Ze University, Taoyuan, Taiwan.
National Yang Ming Chiao Tung University · TWAmerican Academy of Child and Adolescent Psychiatry · USNational Autonomous University of Honduras · HNNational Chengchi University · TWNational Taiwan Normal University · TWThe University of Tokyo · JPYuan Ze University · TWZero to Three · US

Funding

Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan DP2-TMU-112-N-08National Science and Technology Council 106-2410-H-009-059-MY2National Science and Technology Council 108-2410-H-009-020-MY3National Science and Technology Council 112-2410-H-038-029 -National Science and Technology Council 112-2636-H-038-005 -
6 · The paper itself

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.

Indexed as

Autism Spectrum DisorderAutistic DisorderEndophenotypesHumansParentsSurveys and Questionnairesautism spectrum disorderendophenotypemachine learningparent-child dyadssensory responsivity

Identifiers

PMID37807577
PMCPMC11488609
OpenAlexW4387441047

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.