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ABSTRACT: Aims
To map optimal stimulation targets (sweet spots) and neural networks for globus pallidus internus (GPi)- and subthalamic nucleus (STN)-deep brain stimulation (DBS) in cervical dystonia (CD), and compare their structural/functional connectivity profiles and predictive validity for clinical outcomes.Methods
Retrospective analysis of 76 stimulation settings from 38 CD patients across four centers. Volume of tissue activated was reconstructed; connectivity-based sweet spots were identified. Structural/functional connectivity models were developed using normative connectomes and validated externally. Clinical outcomes were assessed using validated scales.Results
Optimal targets localized to the posterior ventral medial GPi and dorsolateral STN. The ideal probabilist
SUBMITTER: Xue T
PROVIDER: S-EPMC12358681 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature