Normalization of Intrinsic Neural Circuits Governing Tourette's Syndrome Using Cranial Electrotherapy Stimulation

Qiao, Jianping; Weng, Shenhong; Wang, Pengwei; Long, Jun; Wang, Zhishun

doi:10.1109/tbme.2014.2385151

Cited by 17 publications

(11 citation statements)

References 57 publications

(70 reference statements)

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“…Cranial electrical stimulation (CES) was used in an open label trial to treat 42 children with TS who were less than 12 years old 79 . Patients applied electrodes to their earlobes when they went to bed so that they could receive the treatment on a daily basis for 24 weeks.…”

Section: Resultsmentioning

confidence: 99%

Tourette syndrome research highlights 2015

Richards

Black

2016

F1000Res

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We present selected highlights from research that appeared during 2015 on Tourette syndrome and other tic disorders. Topics include phenomenology, comorbidities, developmental course, genetics, animal models, neuroimaging, electrophysiology, pharmacology, and treatment. We briefly summarize articles whose results we believe may lead to new treatments, additional research or modifications in current models of TS.

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Section: Resultsmentioning

confidence: 99%

Tourette syndrome research highlights 2015

Richards

Black

2016

F1000Res

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“…The spatial independent component analysis with hierarchical partner matching (HPM-ICA) (Wang et al, 2011;Qiao et al, 2015Qiao et al, , 2017 was performed on the preprocessed data to explore the functional connectivity networks. In detail, spatial ICA was firstly used to generate N components for each participant in which the number of sets of independent components (ICs) N was determined by information criteria.…”

Section: The Functional Mri Image Analysismentioning

confidence: 99%

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

Qiao

Wang

et al. 2020

Front. Neurosci.

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The purpose of this study was to examine the neural substrates and mechanisms that generate memory deficits, seizures and neuropsychiatric abnormalities in encephalitis with LGI1 antibodies using a data-driven, multimodal magnetic resonance imaging (MRI) approach. Methods: Functional MRI data were acquired from 14 anti-LGI1 encephalitis patients and 14 age and gender matched normal controls. Independent component analysis with hierarchical partner matching (HPM-ICA) was used to assess the whole-brain intrinsic functional connectivity. Granger causality (GC) was applied to investigate the effective connectivity among the brain regions that identified by HPM-ICA. Diffusion tensor imaging (DTI) was utilized to investigate white matter microstructural changes of the patients. Results: Participants with LGI1 antibodies encephalitis presented reduced functional connectivity in the brain areas associated with memory, cognition and motion circuits, while increased functional connectivity in putamen and caudate in comparison to the normal controls. Moreover, the effective connectivity in patients was decreased from the frontal cortex to supplementary motor area. Finally, patients had significant reductions in fractional anisotropy (FA) for the corpus callosum, internal capsule, corona radiata and superior longitudinal fasciculus, accompanied by increases in mean diffusivity (MD) for these regions as compared to controls. Conclusion: Our findings suggest that the neural disorder and behavioral deficits of anti-LGI1 encephalitis may be associated with extensive changes in brain connectivity and microstructure. These pathological alterations affect the basal ganglia and limbic system besides the temporal and frontal lobe.

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“…Analyses of functional connectivity using resting-state functional MRI data can be a powerful tool for identifying the intrinsic neural circuits that underlie pathogenic disturbances in neuropsychiatric illnesses. Therefore, we applied independent component analysis (ICA) with hierarchical partner matching (HPM) [ 40 – 42 ] to resting-state fMRI data, aiming to identify altered intrinsic connectivity within cortical-subcortical circuits in a large sample of PWS compared with age- and sex-matched, typically developing (TD) fluent speakers. ICA combined with HPM identifies robust networks of functionally connected brain regions that are reproducible across participants, and it can identify significant connectivity differences across diagnostic groups.…”

Section: Introductionmentioning

confidence: 99%

Functional neural circuits that underlie developmental stuttering

et al. 2017

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The aim of this study was to identify differences in functional and effective brain connectivity between persons who stutter (PWS) and typically developing (TD) fluent speakers, and to assess whether those differences can serve as biomarkers to distinguish PWS from TD controls. We acquired resting-state functional magnetic resonance imaging data in 44 PWS and 50 TD controls. We then used Independent Component Analysis (ICA) together with Hierarchical Partner Matching (HPM) to identify networks of robust, functionally connected brain regions that were highly reproducible across participants, and we assessed whether connectivity differed significantly across diagnostic groups. We then used Granger Causality (GC) to study the causal interactions (effective connectivity) between the regions that ICA and HPM identified. Finally, we used a kernel support vector machine to assess how well these measures of functional connectivity and granger causality discriminate PWS from TD controls. Functional connectivity was stronger in PWS compared with TD controls in the supplementary motor area (SMA) and primary motor cortices, but weaker in inferior frontal cortex (IFG, Broca’s area), caudate, putamen, and thalamus. Additionally, causal influences were significantly weaker in PWS from the IFG to SMA, and from the basal ganglia to IFG through the thalamus, compared to TD controls. ICA and GC indices together yielded an accuracy of 92.7% in classifying PWS from TD controls. Our findings suggest the presence of dysfunctional circuits that support speech planning and timing cues for the initiation and execution of motor sequences in PWS. Our high accuracy of classification further suggests that these aberrant brain features may serve as robust biomarkers for PWS.

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Normalization of Intrinsic Neural Circuits Governing Tourette's Syndrome Using Cranial Electrotherapy Stimulation

Abstract: The normalization of the balance between motor and control portions of the CSTC circuit may result in the recovery of TS adolescents.

Cited by 17 publications

References 57 publications

Tourette syndrome research highlights 2015

Tourette syndrome research highlights 2015

Functional and Structural Brain Alterations in Encephalitis With LGI1 Antibodies

Functional neural circuits that underlie developmental stuttering

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