ArticleHuman brain mapping2023
How brain networks tic: Predicting tic severity through rs-fMRI dynamics in Tourette syndrome.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Electroencephalographic Functional Connectivity Patterns in Children With Tourette Syndrome and Attention-Deficit/Hyperactivity Disorder.Pediatric neurology · 2025Article
- Neuroinflammation and pathways that contribute to tourette syndrome.Italian journal of pediatrics · 2025Review
- Dynamic functional network connectivity in children with profound bilateral congenital sensorineural hearing loss.Pediatric radiology · 2024Article
- Altered dynamic functional and effective connectivity in drug-naive children with Tourette syndrome.Translational psychiatry · 2024Article
- Tourette syndrome research highlights from 2023.F1000Research · 2024Review
- Neuroanatomical and functional correlates in tic disorders and Tourette's syndrome: A narrative review.Ibrain · 2024Review
- Resting network architecture of theta oscillations reflects hyper-learning of sensorimotor information in Gilles de la Tourette syndrome.Brain communications · 2024Article
- How brain networks tic: Predicting tic severity through rs-fMRI dynamics in Tourette syndrome.Human brain mapping · 2023Article
- Resting-state fMRI dynamic functional network in young children with Tourette syndrome.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder characterized by motor and phonic tics, which several different theories, such as basal ganglia-thalamo-cortical loop dysfunction and amygdala hypersensitivity, have sought to explain. Previous research has shown dynamic changes in the brain prior to tic onset leading to tics, and this study aims to investigate the contribution of network dynamics to them. For this, we have employed three methods of functional connectivity to resting-state fMRI data - namely the static, the sliding window dynamic and the ICA based estimated dynamic; followed by an examination of the static and dynamic network topological properties. A leave-one-out (LOO-) validated regression model with LASSO regularization was used to identify the key predictors. The relevant predictors pointed to dysfunction of the primary motor cortex, the prefrontal-basal ganglia loop and amygdala-mediated visual social processing network. This is in line with a recently proposed social decision-making dysfunction hypothesis, opening new horizons in understanding tic pathophysiology.
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Registered trials
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.