Evidence map›Paper›PMID 41647246›Full record

ArticleResearch (Washington, D.C.)2026

Heterogeneity-Aware, Multiscale Annotation of Shared and Specific Neurobiological Signatures among Major Neurodevelopmental Disorders.

Yunheng Diao, Yuanyuan Huang, Baoyuan Zhu, Minxin Guo, Wei Wang, Zhaobo Li, Wenhao Li, Heng Zhang, Jing Zhou, Xiaobo Li and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yunheng DiaoSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.ORCID https://orcid.org/0000-0002-2039-5551
Yuanyuan HuangDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Baoyuan ZhuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Minxin GuoSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Wei WangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Zhaobo LiSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Wenhao LiSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Heng ZhangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.
Jing ZhouSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, China.
Xiaobo LiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Fengchun WuDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Kai WuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China.ORCID https://orcid.org/0000-0003-4467-1597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and schizophrenia (SCZ) represent major neurodevelopmental disorders with distinct typical ages of onset. These disorders exhibit substantial genetic and phenotypic overlap, yet their shared and disorder-specific neurobiological mechanisms remain unclear. We analyzed resting-state functional magnetic resonance imaging data from 2,176 participants (ASD, ADHD, SCZ, and healthy controls). Using heterogeneous matrix factorization, we extracted meta-blood-oxygen-level-dependent signals to reduce individual heterogeneity and constructed functional connectivity networks. Partial least squares identified a shared transdiagnostic abnormal connectivity pattern (STACP) and disorder-specific connectivity deviations (DSCDs). We annotated edges with transcriptomic, neurotransmitter, and mitochondrial maps for biological interpretation. The STACP involved connections linking deep regulatory systems (cerebellum, brain stem, and subcortical network) and cortical perceptual-executive networks (default mode, visual, frontoparietal, and somatomotor). The DSCDs of ASD and ADHD implicated overlapping networks with opposite functional connectivity directions (decreased in ASD and increased in ADHD), while SCZ showed more widespread desynchronization. STACP-related genes were enriched for synaptic development, cytoskeletal remodeling, and lipid metabolism, expressed in midbrain and deep-layer cortical neurons, and associated with serotonin transporter and cytochrome c oxidase. DSCDs were linked to glutamatergic plasticity and immune activation in ASD, dopaminergic regulation and glia-neuron interactions in ADHD, and broad synaptic plus immune-metabolic dysregulation in SCZ. Together, these findings provide a systems-level characterization of shared and disorder-specific neurobiological features across major neurodevelopmental disorders observed at different life stages.

Identifiers

PMID41647246
PMCPMC12868558

What Socratic holds

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LicenceCC BY
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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 Socratic graph.