Evidence map›Paper›PMID 41888090›Full record

ArticleHuman brain mapping2026

Watching Together, Yet Feeling Apart: Interpersonal Neural Synchronization as a Marker of Symptom Severity in Children With Autism Spectrum Disorder During Naturalistic Viewing.

Jieqiong Liu, Yan Wu, Zijing Wang, Yujiao Deng, Zhijuan Jin, Xiaoning Sun, Yanrui Jiang, Guangshuai Wang, Mingming Zhang, Fan Jiang and 1 more

Abstract read
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jieqiong LiuDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan WuDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zijing WangDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yujiao DengDepartment of Neurology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhijuan JinDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoning SunBrain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine and School of Psychology, Shanghai, China.
Yanrui JiangDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guangshuai WangNational Engineering Research Center of Educational Big Data, Faculty Artificial Intelligence in Education, Central China Normal University, Wuhan, China.ORCID https://orcid.org/0000-0003-1022-3227
Mingming ZhangDepartment of Psychology, College of Education, Shanghai Normal University, Shanghai, China.ORCID https://orcid.org/0000-0002-1623-945X
Fan JiangDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guanghai WangDepartment of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institute, Shanghai Key Laboratory of Child Brain and Development, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

Innovative Research Team of High-level Local University in Shanghai SHSMU-ZDCX20211100Innovative Research Team of High-level Local University in Shanghai SHSMU-ZDCX20211900National Natural Science Foundation of China 82401803National Natural Science Foundation of China 82571697National Science and Technology Innovation 2030 Major Project of China STI2030-Major Projects+2021ZD0204200Shanghai Jiao Tong UniversityShanghai Key Laboratory of Child Brain and Development 24dz2260100Shanghai Municipal Health Commission 2022XD056Shanghai Pujiang Program 22PJC074
6 · The paper itself

Abstract

Social interaction impairments in autism spectrum disorder (ASD) have been widely attributed to deficits in empathy, including both cognitive and affective components. However, the underlying neural mechanisms remain incompletely understood. In the current study, we used functional near-infrared spectroscopy (fNIRS) hyperscanning to simultaneously measure brain activities in children with ASD or typical development (TD) and their mothers while they co-viewed the animated film Partly Cloudy. Results revealed that compared to TD children, children with ASD exhibited significantly reduced interpersonal neural synchronization (INS), that is, desynchronization, in the frontopolar area and right dorsolateral prefrontal cortex (DLPFC) during scenes involving theory of mind (ToM) and pain-related events. Notably, TD children showed enhanced INS in the right DLPFC, with significant group differences. Moreover, the right DLPFC INS negatively correlated with ASD symptom severity and mediated the relationship between group and symptom severity. Inter-brain functional connectivity analysis revealed that, during empathy-related events, children's frontopolar area/right DLPFC and maternal brain regions were reduced in ASD but enhanced in TD dyads, with significant group-level contrasts. Finally, using support vector machine (SVM) classification, we found that INS features in the right DLPFC during empathy scenes could accurately distinguish between ASD and TD children. This study offers novel insights into the neural basis of empathy deficits in ASD by examining mother-child INS in a naturalistic setting. These findings provide preliminary insights into the neural mechanisms of INS in ASD and may inform future research on parent-child neural synchrony and its potential relevance for intervention strategies.

Indexed as

Autism Spectrum DisorderConnectomeCortical SynchronizationDorsolateral Prefrontal CortexEmpathyPrefrontal CortexSocial InteractionTheory of MindChildFemaleHumansMaleSeverity of Illness IndexSpectroscopy, Near-Infrared

Identifiers

PMID41888090
PMCPMC13140217

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.