ReviewBrain sciences2018
The Emerging Role of Tractography in Deep Brain Stimulation: Basic Principles and Current Applications.
Review in Brain sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
- Microstructural abnormalities of the dentato-rubro-thalamo-cortical tract in tremor dominant Parkinson's disease and essential tremor plus syndrome.Neuroradiology · 2025Article
- Dentato-rubro-thalamic tract tractography: Constrained spherical deconvolution versus diffusion tensor imaging for essential tremor deep brain stimulation targeting.Surgical neurology international · 2025Article
- The role of the motor thalamus in deep brain stimulation for essential tremor.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
- Deep Brain Stimulation (DBS) in Treatment-Resistant Depression (TRD): Hope and Concern.Advances in experimental medicine and biology · 2024Review
- Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review.Frontiers in human neuroscience · 2024Review
- A structural magnetic resonance imaging review of clinical motor outcomes from deep brain stimulation in movement disorders.Brain communications · 2023Review
- Mapping Motor Pathways in Parkinson's Disease Patients with Subthalamic Deep Brain Stimulator: A Diffusion MRI Tractography Study.Neurology and therapy · 2022Article
- Review
- The Child & Youth CompreHensIve Longitudinal Database for Deep Brain Stimulation (CHILD-DBS).Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021Article
- Digital Health Integration With Neuromodulation Therapies: The Future of Patient-Centric Innovation in Neuromodulation.Frontiers in digital health · 2021Review
- Dentate nucleus deep brain stimulation: Technical note of a novel methodology assisted by tractography.Surgical neurology international · 2021Article
- Deep Brain Stimulation in Epilepsy: A Role for Modulation of the Mammillothalamic Tract in Seizure Control?Neurosurgery · 2020Article
- The dentato-rubro-thalamic tract as the potential common deep brain stimulation target for tremor of various origin: an observational case series.Acta neurochirurgica · 2020Observational
- Modeling of Electric Fields in Individual Imaging Atlas for Capsular Threshold Prediction of Deep Brain Stimulation in Parkinson's Disease: A Pilot Study.Frontiers in neurology · 2020Article
- Hippocampal subfield-specific connectivity findings in major depressive disorder: A 7 Tesla diffusion MRI study.Journal of psychiatric research · 2019Article
- Acute MR-Guided High-Intensity Focused Ultrasound Lesion Assessment Using Diffusion-Weighted Imaging and Histological Analysis.Frontiers in neurology · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffusion tensor imaging (DTI) is an MRI-based technique that delineates white matter tracts in the brain by tracking the diffusion of water in neural tissue. This methodology, known as "tractography", has been extensively applied in clinical neuroscience to explore nervous system architecture and diseases. More recently, tractography has been used to assist with neurosurgical targeting in functional neurosurgery. This review provides an overview of DTI principles, and discusses current applications of tractography for improving and helping develop novel deep brain stimulation (DBS) targets.
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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.