ArticleFrontiers in neuroscience2015
Quantitative analysis of axonal fiber activation evoked by deep brain stimulation via activation density heat maps.
Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Strategic alterations of posture are delayed in Parkinson's disease patients during deep brain stimulation.Scientific reports · 2021Trial
- Effects of Different STN-DBS Programming Strategies on Non-Motor Symptoms in Parkinson's Disease: A Retrospective Controlled Study.Journal of multidisciplinary healthcare · 2026Article
- Four Deep Brain Stimulation Targets for Obsessive-Compulsive Disorder: Are They Different?Biological psychiatry · 2021Review
- Accounting for Deformation in Deep Brain Stimulation Surgery With Models: Comparison to Interventional Magnetic Resonance Imaging.IEEE transactions on bio-medical engineering · 2020Article
- Chemogenetics: drug-controlled gene therapies for neural circuit disorders.Cell & gene therapy insights · 2020Article
- Activation robustness with directional leads and multi-lead configurations in deep brain stimulation.Journal of neural engineering · 2020Article
- An update on best practice of deep brain stimulation in Parkinson's disease.Therapeutic advances in neurological disorders · 2019Review
- Detecting a Cortical Fingerprint of Parkinson's Disease for Closed-Loop Neuromodulation.Frontiers in neuroscience · 2016Article
- Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.Frontiers in neuroscience · 2016Article
- Tractography Activation Patterns in Dorsolateral Prefrontal Cortex Suggest Better Clinical Responses in OCD DBS.Frontiers in neuroscience · 2015Article
- Commentary: Tractography-Activation Models Applied to Subcallosal Cingulate Deep Brain Stimulation.Frontiers in neuroanatomy · 2015Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundCortical modulation is likely to be involved in the various therapeutic effects of deep brain stimulation (DBS). However, it is currently difficult to predict the changes of cortical modulation during clinical adjustment of DBS. Therefore, we present a novel quantitative approach to estimate anatomical regions of DBS-evoked cortical modulation.
methodsFour different models of the subthalamic nucleus (STN) DBS were created to represent variable electrode placements (model I: dorsal border of the posterolateral STN; model II: central posterolateral STN; model III: central anteromedial STN; model IV: dorsal border of the anteromedial STN). Axonal fibers of passage near each electrode location were reconstructed using probabilistic tractography and modeled using multi-compartment cable models. Stimulation-evoked activation of local axon fibers and corresponding cortical projections were modeled and quantified.
resultsStimulation at the border of the STN (models I and IV) led to a higher degree of fiber activation and associated cortical modulation than stimulation deeply inside the STN (models II and III). A posterolateral target (models I and II) was highly connected to cortical areas representing motor function. Additionally, model I was also associated with strong activation of fibers projecting to the cerebellum. Finally, models III and IV showed a dorsoventral difference of preferentially targeted prefrontal areas (models III: middle frontal gyrus; model IV: inferior frontal gyrus). DISCUSSION: The method described herein allows characterization of cortical modulation across different electrode placements and stimulation parameters. Furthermore, knowledge of anatomical distribution of stimulation-evoked activation targeting cortical regions may help predict efficacy and potential side effects, and therefore can be used to improve the therapeutic effectiveness of individual adjustments in DBS patients.
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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.