Evidence map›Paper›PMID 37835770›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.

Miaoyan Wang, Dandan Xu, Lili Zhang, Haoxiang Jiang

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Miaoyan WangDepartment of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi 214000, China.ORCID 0009-0008-8203-4277
Dandan XuDepartment of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi 214000, China.
Lili ZhangDepartment of Child Health Care, Affiliated Children's Hospital of Jiangnan University, Wuxi 214000, China.ORCID 0000-0003-3579-945X
Haoxiang JiangDepartment of Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi 214000, China.ORCID 0000-0003-1191-1398
Jiangnan University · CN

Funding

Precision Medicine Key Project of Wuxi Health Commission J202107Wuxi Science and Technology Development Project (CN) N20192005
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder in children. Early diagnosis and intervention can remodel the neural structure of the brain and improve quality of life but may be inaccurate if based solely on clinical symptoms and assessment scales. Therefore, we aimed to analyze multimodal magnetic resonance imaging (MRI) data from the existing literature and review the abnormal changes in brain structural-functional networks, perfusion, neuronal metabolism, and the glymphatic system in children with ASD, which could help in early diagnosis and precise intervention. Structural MRI revealed morphological differences, abnormal developmental trajectories, and network connectivity changes in the brain at different ages. Functional MRI revealed disruption of functional networks, abnormal perfusion, and neurovascular decoupling associated with core ASD symptoms. Proton magnetic resonance spectroscopy revealed abnormal changes in the neuronal metabolites during different periods. Decreased diffusion tensor imaging signals along the perivascular space index reflected impaired glymphatic system function in children with ASD. Differences in age, subtype, degree of brain damage, and remodeling in children with ASD led to heterogeneity in research results. Multimodal MRI is expected to further assist in early and accurate clinical diagnosis of ASD through deep learning combined with genomics and artificial intelligence.

Indexed as

autism spectrum disorderearly diagnosisglymphatic systemmagnetic resonance imaging

Identifiers

PMID37835770
PMCPMC10571992
OpenAlexW4386996262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.