ArticleNeurology and therapy2022
Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease.
Article in Neurology and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- The different stimulation durations of transcranial direct current stimulation for Parkinson's disease: a systematic review and network meta-analysis.Frontiers in aging neuroscience · 2026Pooled it
- Role of the subthalamic nucleus in motor control.Neural regeneration research · 2026Article
- Preoperative structural networks based on DTI predicts initial subthalamic nucleus stimulation outcome in parkinson's disease.Scientific reports · 2025Article
- Structural Connectivity of the Basal Ganglia from Patient-Individual Tractography Is Key for Understanding the Effects of Deep Brain Stimulation in Parkinson's Disease.Stereotactic and functional neurosurgery · 2025Article
- Clinical and Brain Morphometry Predictors of Deep Brain Stimulation Outcome in Parkinson's Disease.Brain topography · 2024Article
- Tailoring and personalizing deep brain stimulation for Parkinson's disease.Arquivos de neuro-psiquiatria · 2024Article
- Deep brain stimulation of the subthalamic nucleus in severe Parkinson's disease: relationships between dual-contact topographic setting and 1-year worsening of speech and gait.Acta neurochirurgica · 2023Observational
- A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders.Brain communications · 2023Review
- Deep brain stimulation in Parkinson's disease: state of the art and future perspectives.Arquivos de neuro-psiquiatria · 2022Review
- Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson's disease: A mini review.Frontiers in aging neuroscience · 2022Review
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDeep brain stimulation of the subthalamic nucleus (STN-DBS) is an established therapy for Parkinson's disease (PD). However, a more detailed characterization of the targeted network and its grey matter (GM) terminals that drive the clinical outcome is needed. In this direction, the use of MRI after DBS surgery is now possible due to recent advances in hardware, opening a window for the clarification of the association between the affected tissue, including white matter fiber pathways and modulated GM regions, and the DBS-related clinical outcome. Therefore, we present a computational framework for reconstruction of targeted networks on postoperative MRI.
methodsWe used a combination of preoperative whole-brain T1-weighted (T1w) and diffusion-weighted MRI data for morphometric integrity assessment and postoperative T1w MRI for electrode reconstruction and network reconstruction in 15 idiopathic PD patients. Within this framework, we made use of DBS lead artifact intensity profiles on postoperative MRI to determine DBS locations used as seeds for probabilistic tractography to cortical and subcortical targets within the motor circuitry. Lastly, we evaluated the relationship between brain microstructural characteristics of DBS-targeted brain network terminals and postoperative clinical outcomes.
resultsThe proposed framework showed robust performance for identifying the DBS electrode positions. Connectivity profiles between the primary motor cortex (M1), supplementary motor area (SMA), and DBS locations were strongly associated with the stimulation intensity needed for the optimal clinical outcome. Local diffusion properties of the modulated pathways were related to DBS outcomes. STN-DBS motor symptom improvement was highly associated with cortical thickness in the middle frontal and superior frontal cortices, but not with subcortical volumetry.
conclusionThese data suggest that STN-DBS outcomes largely rely on the modulatory interference from cortical areas, particularly M1 and SMA, to DBS locations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.