Literature DB >> 32062470

A graph theory study of resting-state functional connectivity in children with Tourette syndrome.

Thaïra J C Openneer1, Jan-Bernard C Marsman2, Dennis van der Meer3, Natalie J Forde4, Sophie E A Akkermans5, Jilly Naaijen5, Jan K Buitelaar6, Andrea Dietrich7, Pieter J Hoekstra7.   

Abstract

Little is known about the brain's functional organization during resting-state in children with Tourette syndrome (TS). We aimed to investigate this with a specific focus on the role of comorbid attention-deficit/hyperactivity disorder (ADHD). We applied graph theoretical analysis to resting-state functional magnetic resonance imaging data of 109 8-to-12-year-old children with TS (n = 46), ADHD without tics (n = 23), and healthy controls (n = 40). First, we compared these three groups, and in a second comparison four groups, distinguishing TS with (TS + ADHD, n = 19) and without comorbid ADHD (TS-ADHD, n = 27). Weighted brain graphs were constructed for both comparisons to investigate global efficiency, local efficiency, and clustering coefficient per acquired network. Local efficiency and clustering coefficient were significantly lower in children with TS-ADHD in the default mode network compared with healthy controls, and in the frontoparietal network compared with ADHD; we also found associations with higher tic severity. Our study supports a different functional brain network organization in children with TS-ADHD, compared with healthy controls and children with ADHD.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Comorbid ADHD; Default mode network; Graph theoretical analysis; Local efficiency; Resting-state fMRI; Tic severity; Tourette syndrome

Mesh:

Year:  2020        PMID: 32062470     DOI: 10.1016/j.cortex.2020.01.006

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  7 in total

1.  A Comparative Analysis of White Matter Structural Networks on SCLC Patients After Chemotherapy.

Authors:  Anastasios Mentzelopoulos; Irene Karanasiou; Matilda Papathanasiou; Nikolaos Kelekis; Vasileios Kouloulias; George K Matsopoulos
Journal:  Brain Topogr       Date:  2022-02-25       Impact factor: 3.020

Review 2.  Tourette syndrome research highlights from 2020.

Authors:  Andreas Hartmann; Cyril Atkinson-Clement; Christel Depienne; Kevin Black
Journal:  F1000Res       Date:  2022-01-13

Review 3.  Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey.

Authors:  Taban Eslami; Fahad Almuqhim; Joseph S Raiker; Fahad Saeed
Journal:  Front Neuroinform       Date:  2021-01-20       Impact factor: 4.081

4.  Inhibitory control in children with tic disorder: aberrant fronto-parietal network activity and connectivity.

Authors:  Joseph Jurgiel; Makoto Miyakoshi; Andrea Dillon; John Piacentini; Scott Makeig; Sandra K Loo
Journal:  Brain Commun       Date:  2021-04-09

5.  Altered Functional Network in Infants With Profound Bilateral Congenital Sensorineural Hearing Loss: A Graph Theory Analysis.

Authors:  Wenzhuo Cui; Shanshan Wang; Boyu Chen; Guoguang Fan
Journal:  Front Neurosci       Date:  2022-01-14       Impact factor: 4.677

6.  Altered brain network topology in children with auditory processing disorder: A resting-state multi-echo fMRI study.

Authors:  Ashkan Alvand; Abin Kuruvilla-Mathew; Ian J Kirk; Reece P Roberts; Mangor Pedersen; Suzanne C Purdy
Journal:  Neuroimage Clin       Date:  2022-08-01       Impact factor: 4.891

7.  Association of resting-state theta-gamma coupling with selective visual attention in children with tic disorders.

Authors:  Ji Seon Ahn; Kyungun Jhung; Jooyoung Oh; Jaeseok Heo; Jae-Jin Kim; Jin Young Park
Journal:  Front Hum Neurosci       Date:  2022-09-29       Impact factor: 3.473

  7 in total

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