ArticleNeuroImage. Clinical2020
Anatomical brain structures normalization for deep brain stimulation in movement disorders.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Subthalamic segmentations in relation to deep brain stimulation volumes in Parkinson's disease.Acta neurochirurgica · 2026Article
- Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants.Nature biomedical engineering · 2026Article
- How accurate is probabilistic tractography when used to predict the "sweet spot" in deep brain stimulation? Mind the gap!Acta neurochirurgica · 2025Article
- Thalamic burst and tonic firing selectively indicate patients' consciousness level and recovery.Innovation (Cambridge (Mass.)) · 2025Article
- Towards robust probabilistic maps in Deep Brain Stimulation: exploring the impact of patient number, stimulation counts, and statistical approaches.Frontiers in computational neuroscience · 2025Article
- The impact of localization and registration accuracy on estimates of deep brain stimulation electrode position in stereotactic space.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Whole brain pattern of iron accumulation in REM sleep behavior disorder.Human brain mapping · 2024Article
- Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation.Nature neuroscience · 2024Article
- Evaluating normalized registration and preprocessing methodologies for the analysis of brain MRI in pediatric patients with shunt-treated hydrocephalus.Frontiers in neuroscience · 2024Article
- Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation.Frontiers in neuroinformatics · 2024Article
- Feasibility study for the automatic surgical planning method based on statistical model.Journal of orthopaedic surgery and research · 2023Article
- Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks.NeuroImage · 2023Article
- Deep Brain Stimulation Electrode Reconstruction: Comparison between Lead-DBS and Surgical Planning System.Journal of clinical medicine · 2023Article
- DBSegment: Fast and robust segmentation of deep brain structures considering domain generalization.Human brain mapping · 2023Article
- Article
- Optimal deep brain stimulation sites and networks for cervical vs. generalized dystonia.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization.Frontiers in neuroscience · 2022Review
- Therapies to Restore Consciousness in Patients with Severe Brain Injuries: A Gap Analysis and Future Directions.Neurocritical care · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep brain stimulation (DBS) therapy requires extensive patient-specific planning prior to implantation to achieve optimal clinical outcomes. Collective analysis of patient's brain images is promising in order to provide more systematic planning assistance. In this paper the design of a normalization pipeline using a group specific multi-modality iterative template creation process is presented. The focus was to compare the performance of a selection of freely available registration tools and select the best combination. The workflow was applied on 19 DBS patients with T1 and WAIR modality images available. Non-linear registrations were computed with ANTS, FNIRT and DRAMMS, using several settings from the literature. Registration accuracy was measured using single-expert labels of thalamic and subthalamic structures and their agreement across the group. The best performance was provided by ANTS using the High Variance settings published elsewhere. Neither FNIRT nor DRAMMS reached the level of performance of ANTS. The resulting normalized definition of anatomical structures were used to propose an atlas of the diencephalon region defining 58 structures using data from 19 patients.
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Registered trials
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.