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Enregistrement W4365505551 · doi:10.1055/s-0043-1767763

Deep brain stimulation for dystonia

2023· letter· es· W4365505551 sur OpenAlexaff
Brendan Santyr, Renato P. Munhoz, Andrés M. Lozano

Notice bibliographique

RevueArquivos de Neuro-Psiquiatria · 2023
Typeletter
Languees
DomaineMedicine
ThématiqueNeurological disorders and treatments
Établissements canadiensKrembil FoundationUniversity of TorontoToronto Western Hospital
Organismes subventionnairesnon disponible
Mots-clésDeep brain stimulationNeuroscienceBasal gangliaDystoniaSomatosensory systemMedicineMovement disordersFocal dystoniaGlobus pallidusPathophysiologyLesionCentral nervous systemPsychologyPathologyParkinson's diseaseDisease

Résumé

récupéré en direct d'OpenAlex

Dystonia syndromes are diverse movement disorders characterized by disabling, painful, and sustained involuntary muscle contraction.[ 1 ] It's classified by body distribution (focal, segmental, multifocal, hemidystonia, and generalized) and etiology (heritable, secondary to nervous system pathology, or idiopathic).[ 1 ] The pathophysiology is poorly understood but lesion studies,[ 2 ] functional imaging,[ 3 ] and electrophysiological studies[ 4 ] provide evidence for the involvement of the basal ganglia, specifically the globus pallidus. Symptoms result from impaired sensory-motor inhibition resulting in increased basal ganglia excitability and decreased spatial and temporal somatosensory discrimination.[ 5 ] Treatment is aimed at reducing pain and functional impairment, with pharmacological approaches as the first line. Despite multiple options, many patients with generalized and some focal dystonias remain refractory to pharmacological treatments.[ 6 ] Various neurosurgical interventions have been trialled for the treatment of dystonia, including peripheral denervation, intrathecal baclofen infusion, and ablating the basal ganglia or thalamus. However, deep brain stimulation (DBS) primarily targeting the globus pallidus internus (GPi) and the subthalamic nucleus (STN) has evolved as a covetable option with the ability to provide personalized, reversible, and titratable neuromodulation. The available literature has recently been reviewed[ 7 ] and demonstrates the safe and efficacious use of DBS in dystonia for both GPi or STN, resulting in excellent and equivalent improvement in patients' movement and disability scores. Efficacy was also assessed relative to the body distribution with focal dystonia exhibiting better improvement in motor symptoms scores but less enhancement in quality of life compared with segmental dystonia. However, all dystonia distributions studied showed significant postoperative improvement. Also, it is well established that those with primary dystonias also respond better to DBS than those with secondary dystonias. Moreover, those with motor improvement from DBS will likely also demonstrate significant improvement in disability symptoms. As such, the current state of the literature supports the use of DBS, however, still fails to explain outcome variability and does not allow for a tailored patient-specific approach to management with DBS. Advances in neuroimaging may provide insights into this through patient-specific treatment selection, surgical targeting, and DBS programming. In the current edition of the Arquivos de Neuro-Psiquiatria, Listik et al.[ 8 ] present work aimed at better understanding factors that predict individual patient responsiveness to DBS therapy. They hypothesize that connectivity of the stimulation site may be responsible for some of the DBS response. Motor impairment and disability scores (Burke-Fahn-Marsden Dystonia Rating Scale) were prospectively acquired in 5 patients with generalized dystonia of inherited/idiopathic etiology and undergoing bilateral STN-DBS for refractory motor symptoms. Using a combination of stimulation-outcome mapping and normative connectivity analysis, the authors show that stimulation location within the STN target does not explain the variability in clinical outcomes seen. However, the pattern of connectivity between the stimulated region and the left pre and postcentral gyrus and right cerebellar lobule III and vermis IX were significantly correlated with improved motor response to DBS. This supports other recent evidence that states the ideal DBS target relies not only on the anatomical position but also on its structural connectivity.[ 9 ] This work presents a step toward individualized target selection based on preoperative patient characteristics, including structural connectivity. Similarly, intraoperative target selection has been further refined by studies employing stimulation-outcome mapping in large cohorts. Elias et al.[ 10 ] examined the motor outcome in 64 dystonia subjects (11 idiopathic/genetic, 53 acquired) who underwent bilateral GPi-DBS. They showed the greatest symptomatic improvement with stimulation in the ventroposterior GPi gray matter, located 3mm posterior, 1mm superior, and 1mm medial to the typical target location. They also localized areas of stimulation associated with poorer response to the superior parts of the external globus pallidus. These maps can predict clinical variance in outcomes following DBS therapy and provide preliminary blueprints for refined surgical targeting and postoperative DBS programming. Insights into outcome variation in DBS therapy have also come from the functional magnetic resonance imaging literature. Loh et al. demonstrate that optimal DBS programming engages a functional network resulting in sensorimotor cortex deactivation in 15 cervical dystonia patients with GPi-DBS.[ 11 ] This pattern of functional changes was also shown to be intimately related to clinical improvement. This work highlights the potential for imaging biomarkers in DBS programming. There is growing scientific evidence demonstrating the safety and efficacy of DBS for the treatment of medically refractory dystonia, however, optimal patient and surgical target selection remains unclear. Here multiple examples are presented that demonstrate how advances in neuroimaging are contributing to the understanding of DBS therapy in dystonia. These advances may lead to improved patient and target selection and DBS programming. Publication History Received: 02 March 2023 Accepted: 09 March 2023 Article published online: 14 April 2023 © 2023. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/) Thieme Revinter Publicações Ltda. Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0070,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,305
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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