Evidence map›Paper›PMID 41940292›Full record

ArticleFrontiers in neurology

Resting-state fMRI dynamic functional network in young children with Tourette syndrome.

Haode Wang, Yue Liu, Chen Zhang, Jingtao Lian, Lei Yang, Yun Peng

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Haode Wang *China Academy of Information and Communications Technology, Beijing, China.
Yue Liu *NMOE Key Laboratory of Major Diseases in Children, Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Chen ZhangChina Academy of Information and Communications Technology, Beijing, China.
Jingtao LianChina Academy of Information and Communications Technology, Beijing, China.
Lei YangChina Academy of Information and Communications Technology, Beijing, China.
Yun PengNMOE Key Laboratory of Major Diseases in Children, Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tourette syndrome (TS) is a neurodevelopmental disorder characterized by involuntary motor and phonic tics, with diagnosis often delayed due to the 1-year symptom duration criterion. This study aimed to explore early neuroimaging biomarkers of TS in young children, by investigating spatiotemporal alterations in dynamic brain network connectivity in 4-6-year-old children with TS. Methods: This retrospective case-control study collected resting-state functional magnetic resonance imaging (fMRI) data from 24 children aged 4-6 years, including 12 drug-naive TS patients and 12 matched healthy controls (N group). Group Independent Component Analysis (GICA) and Independent Vector Analysis (IVA) were used to assess group differences in temporal and spatial dynamic functional network connectivity (FNC), respectively. Correlations between these connectivity alterations and Yale Global Tic Severity Scale (YGTSS) scores as well as disease duration were analyzed. Results: Statistically significant between-group differences were found in temporal dynamic FNC ( Discussion: This study revealed abnormal temporal and spatial dynamic brain network connectivity in young children at the early stage of TS, particularly in insula-related circuits. These findings provide novel insights into the early neuropathological mechanisms of TS and support the potential of dynamic FNC metrics as early imaging biomarkers for TS in young children.

Indexed as

dynamic functional networkfunctional magnetic resonance imaginginsularesting-stateTourette syndrome

Identifiers

PMID41940292
PMCPMC13046543

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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.