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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging
Andreas Horn1, Ningfei Li1, Till A Dembek2
1Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Germany.
Lead-DBS software provides updated pipelines for deep brain stimulation (DBS) imaging and connectomics. This open-source tool facilitates precise electrode placement and analysis for movement disorders and other conditions.
Area of Science:
- Neuroimaging and Computational Neuroscience
- Medical Engineering and Technology
Background:
- Deep brain stimulation (DBS) is a crucial treatment for movement disorders, demanding precise electrode placement for optimal outcomes.
- Accurate reconstruction of electrode placement is vital for analyzing the relationship between location and clinical results, presenting neuroimaging challenges.
- The open-source Lead-DBS toolbox, available since 2014, has become a popular platform for DBS imaging, continuously updated by a global research community.
Purpose of the Study:
- To present updated deep brain stimulation (DBS) and connectome analysis pipelines within the Lead-DBS software.
- To demonstrate the utility of these revised pipelines using both high-field and clinical-setting imaging data.
- To provide a comprehensive, open-source resource for DBS imaging and connectomics research.
Main Methods:
- Co-registration and nonlinear warping of neuroimaging data using multiple algorithms and approaches.
- Reconstruction of DBS electrodes using various methods, followed by calculation of the volume of tissue activated (VTA).
- Application of whole-brain tractography algorithms to estimate structural and functional connectivity from diffusion MRI data.
Main Results:
- Demonstration of updated Lead-DBS pipelines on single-patient and retrospective cohort data.
- Comparative analysis of different neuroimaging registration, electrode reconstruction, VTA modeling, and tractography methods.
- Evaluation of preprocessing strategy impact on predicting clinical improvement in Parkinson's disease (PD) patients.
Conclusions:
- The updated Lead-DBS pipelines offer a comprehensive, open-source solution for advanced DBS imaging and connectomics.
- These tools facilitate precise electrode localization and detailed analysis of stimulation effects and brain connectivity.
- The collaborative development empowers current and future research in DBS applications and related neurological conditions.
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