ArticleBrain topography2021
Discrimination of Tourette Syndrome Based on the Spatial Patterns of the Resting-State EEG Network.
Article in Brain topography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Alterations in the resting-state functional networks are associated with food addiction: an EEG study.Journal of eating disorders · 2025Article
- EEG power modulation in the sensorimotor regions is critical to motor tic suppression.Frontiers in psychiatry · 2025Article
- Time-frequency-space transformer EEG decoding for spinal cord injury.Cognitive neurodynamics · 2024Article
- Recognition of autism spectrum disorder in children based on electroencephalogram network topology.Cognitive neurodynamics · 2024Article
- Alterations in the topological organization of the default-mode network in Tourette syndrome.BMC neurology · 2023Article
- Exploring the Temporal Patterns of Dynamic Information Flow during Attention Network Test (ANT).Brain sciences · 2023Article
- Review
- Comparison of Quantitative Electroencephalography between Tic Disorder and Attention-Deficit/Hyperactivity Disorder in Children.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Article
- Electrophysiology Echoes Brain Dynamics in Children and Adolescents With Tourette Syndrome-A Developmental Perspective.Frontiers in neurology · 2021Review
- Recent progress on Tourette syndrome.Faculty reviews · 2021Review
Corrections and comments
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder with childhood onset characterized by chronic motor and vocal tics; however, the current diagnosis of TS patients is subjective, as it is mainly assessed based on the parents' description alongside specific evaluations. The early and accurate diagnosis of TS based on its potential symptoms in children would be of benefit in their future therapy, but reliable diagnoses are difficult due to the lack of objective knowledge of the etiology and pathogenesis of TS. In this study, resting-state electroencephalograms were first collected from 36 patients and 21 healthy controls (HCs); the corresponding resting-state functional networks were then constructed, and the potential differences in network topology between the two groups were extracted by using the topology of the spatial pattern of the network (SPN). Compared to the HCs, the TS patients exhibited decreased frontotemporal/occipital/parietal connectivity. When classifying the two groups, compared to the network properties, the derived SPN features achieved a much higher accuracy of 92.31%. The intrinsic long-range connectivity between the frontal and the temporal/occipital/parietal lobes was damaged in the patient group, and this dysfunctional network pattern might serve as a reliable biomarker to differentiate TS patients from HCs as well as to assess the severity of tic symptoms.
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