ArticleBrain : a journal of neurology2020
Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome.
Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- A neural network for tics: insights from causal brain lesions and deep brain stimulation.Brain : a journal of neurology · 2022Pooled it
- White matter variability, cognition, and disorders: a systematic review.Brain structure & function · 2022Pooled it
- Target-Specific Effects of Deep Brain Stimulation for Tourette Syndrome: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2021Pooled it
- Article
- Optimal Deep Brain Stimulation Locations for Gilles de la Tourette Syndrome.medRxiv : the preprint server for health sciences · 2026Article
- Thalamo-frontal functional connectivity patterns in Tourette Syndrome: Insights from combined intracranial DBS and EEG recordings.Molecular psychiatry · 2026Article
- Thalamic stereoelectroencephalography: safety, accuracy, and thalamocortical connectivity.medRxiv : the preprint server for health sciences · 2025Article
- The CM-aGPi Network in the Generation of Tics in Tourette Syndrome.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies.Journal of neural engineering · 2025Review
- Frequent vocalizations and deep brain stimulation-responsive hyperkinesia in a striatal disinhibition rat model for Tourette syndrome.The international journal of neuropsychopharmacology · 2025Article
- Macroscale Traveling Waves Evoked by Single-Pulse Stimulation of the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neuroplasticity in Diffuse Low-grade Gliomas: Backward Modelling of Brain-tumor Interactions Prior to Diagnosis is Needed to Better Predict Recovery after Treatment.Current neurology and neuroscience reports · 2025Review
- Toward a standard preoperative MRI protocol for functional neurosurgery.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A critical role of action-related functional networks in Gilles de la Tourette syndrome.Nature communications · 2024Article
- Biomarkers: The Key to Enhancing Deep Brain Stimulation Treatment for Psychiatric Conditions.Brain sciences · 2024Review
- Deep brain stimulation for Tourette's syndrome.The Cochrane database of systematic reviews · 2024Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- A large normative connectome for exploring the tractographic correlates of focal brain interventions.Scientific data · 2024Article
- Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation.Nature neuroscience · 2024Article
- Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks.NeuroImage · 2023Article
Corrections and comments
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Authors and funding
20 authors at 9 institutions in 6 countries.
Funding
Abstract
Deep brain stimulation may be an effective therapy for select cases of severe, treatment-refractory Tourette syndrome; however, patient responses are variable, and there are no reliable methods to predict clinical outcomes. The objectives of this retrospective study were to identify the stimulation-dependent structural networks associated with improvements in tics and comorbid obsessive-compulsive behaviour, compare the networks across surgical targets, and determine if connectivity could be used to predict clinical outcomes. Volumes of tissue activated for a large multisite cohort of patients (n = 66) implanted bilaterally in globus pallidus internus (n = 34) or centromedial thalamus (n = 32) were used to generate probabilistic tractography to form a normative structural connectome. The tractography maps were used to identify networks that were correlated with improvement in tics or comorbid obsessive-compulsive behaviour and to predict clinical outcomes across the cohort. The correlated networks were then used to generate 'reverse' tractography to parcellate the total volume of stimulation across all patients to identify local regions to target or avoid. The results showed that for globus pallidus internus, connectivity to limbic networks, associative networks, caudate, thalamus, and cerebellum was positively correlated with improvement in tics; the model predicted clinical improvement scores (P = 0.003) and was robust to cross-validation. Regions near the anteromedial pallidum exhibited higher connectivity to the positively correlated networks than posteroventral pallidum, and volume of tissue activated overlap with this map was significantly correlated with tic improvement (P < 0.017). For centromedial thalamus, connectivity to sensorimotor networks, parietal-temporal-occipital networks, putamen, and cerebellum was positively correlated with tic improvement; the model predicted clinical improvement scores (P = 0.012) and was robust to cross-validation. Regions in the anterior/lateral centromedial thalamus exhibited higher connectivity to the positively correlated networks, but volume of tissue activated overlap with this map did not predict improvement (P > 0.23). For obsessive-compulsive behaviour, both targets showed that connectivity to the prefrontal cortex, orbitofrontal cortex, and cingulate cortex was positively correlated with improvement; however, only the centromedial thalamus maps predicted clinical outcomes across the cohort (P = 0.034), but the model was not robust to cross-validation. Collectively, the results demonstrate that the structural connectivity of the site of stimulation are likely important for mediating symptom improvement, and the networks involved in tic improvement may differ across surgical targets. These networks provide important insight on potential mechanisms and could be used to guide lead placement and stimulation parameter selection, as well as refine targets for neuromodulation therapies for Tourette syndrome.
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