Autor: |
Erik H. Middlebrooks, Lela Okromelidze, Joshua K. Wong, Robert S. Eisinger, Mathew R. Burns, Ayushi Jain, Hsin-Pin Lin, Jun Yu, Enrico Opri, Andreas Horn, Lukas L. Goede, Kelly D. Foote, Michael S. Okun, Alfredo Quiñones-Hinojosa, Ryan J. Uitti, Sanjeet S. Grewal, Takashi Tsuboi |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
NeuroImage: Clinical, Vol 32, Iss , Pp 102846- (2021) |
Druh dokumentu: |
article |
ISSN: |
2213-1582 |
DOI: |
10.1016/j.nicl.2021.102846 |
Popis: |
Background and purpose: Deep brain stimulation (DBS) is the most common surgical treatment for essential tremor (ET), yet there is variation in outcome and stimulation targets. This study seeks to consolidate proposed stimulation “sweet spots,” as well as assess the value of structural connectivity in predicting treatment outcomes. Materials and methods: Ninety-seven ET individuals with unilateral thalamic DBS were retrospectively included. Using normative brain connectomes, structural connectivity measures were correlated with the percentage improvement in contralateral tremor, based on the Fahn-Tolosa-Marin tremor rating scale (TRS), after parameter optimization (range 3.1–12.9 months) using a leave-one-out cross-validation in 83 individuals. The predictive feature map was used for cross-validation in a separate cohort of 14 ET individuals treated at another center. Lastly, estimated volumes of tissue activated (VTA) were used to assess a treatment “sweet spot,” which was compared to seven previously reported stimulation sweet spots and their relationship to the tract identified by the predictive feature map. Results: In the training cohort, structural connectivity between the VTA and dentato-rubro-thalamic tract (DRTT) correlated with contralateral tremor improvement (R = 0.41; p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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