Evidence map›Paper›PMID 42742677›Full record

ArticleEuropean child & adolescent psychiatry2026

Aberrant brain functional connectivity is associated with clinical symptoms in tourette syndrome: a triple network model perspective.

Xianbin Wang, Hefen Hu, Wenyan Zhang, Weiwei Men, Xu Hong, Yanhui Zhu, Kai Yang, Zhongliang Jiang, Zhongyi Liu, Jirui Wang and 3 more

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Article in European child & adolescent psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Xianbin Wang *Department of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Hefen Hu *Department of Rehabilitation, Affiliated Hospital of Jining Medical University, Jining, 272000, Shandong, China.
Wenyan Zhang *Department of Psychiatry, Shandong Daizhuang Hospital, Jingning, 272000, Shandong, China.
Weiwei MenCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100091, China.
Xu HongDepartment of Psychosomatic Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Yanhui ZhuShandong Mental Health Center (Shandong University Affiliated Mental Health Center), Jinan, 250014, Shandong, China.
Kai YangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Zhongliang JiangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Zhongyi LiuDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Jirui WangDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Weihao TanDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Yonghua CuiDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. cuiyonghua@bch.com.cn.
Tianyuan LeiDepartment of Psychiatry, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. tianyuanlei@bch.com.cn.ORCID https://orcid.org/0000-0002-5921-5853

Funding

Beijing Natural Science Foundation 7264402Natural Science Foundation of Beijing Municipality 7262041
6 · The paper itself

Abstract

Tourette Syndrome (TS) is a neurodevelopmental disorder characterized by motor/vocal tics and premonitory urges. The triple network model (TNM)-including the salience network (SAN), frontoparietal network (FPN, also known as control network, Con), and default mode network (DMN)-provides a framework for understanding large-scale brain dysfunction. However, the TNM's role in the "urge-to-tic" mechanism in pediatric TS remains unclear. This study aimed to characterize network-level functional connectivity (FC) within the TNM in pediatric TS, examine its associations with clinical symptoms, and propose a refined neurobiological hypothesis for the urge-to-tic process. We enrolled 68 children with TS and 65 matched controls. Resting-state fMRI was used to quantify FC within the TNM. Clinical severity was assessed using the Yale Global Tic Severity Scale (YGTSS), Premonitory Urge for Tics Scale (PUTS), and Sensory Phenomenon Assessment Scale (SPAS). Group differences in FC were identified, and random forest (RF) regression models were employed to predict symptom severity based on FC within the TNM. Children with TS exhibited significant inter-network FC alterations, specifically involving increased connectivity between the left DMN and bilateral SAN. While YGTSS and SPAS score were significantly associated with TNM connectivity, no significant correlation was found with PUTS scores. The RF models successfully predicted YGTSS (R

Indexed as

Functional connectivityMachine-learning modelsPremonitory urgeResting-state fMRITourette syndromeTriple network model

Identifiers

PMID42742677

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