Deep Brain Stimulation: Imaging on a group level
| Autor: | Andreas Horn, Svenja Treu, Simon Oxenford, Andrea A. Kühn, Ningfei Li, Bryan A. Strange |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Movement disorders Deep brain stimulation Computer science Cognitive Neuroscience medicine.medical_treatment Neuroimaging Subthalamic nucleus Neurosurgical Procedures 050105 experimental psychology Imaging lcsh:RC321-571 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Connectome medicine Humans 0501 psychology and cognitive sciences lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Electrode placement Group level Aged 030304 developmental biology Group analysis 0303 health sciences 05 social sciences Parkinson Disease Middle Aged Electrodes Implanted nervous system diseases Treatment Outcome surgical procedures operative Neurology Female medicine.symptom Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage, Vol 219, Iss, Pp 117018-(2020) |
| DOI: | 10.1101/2020.01.14.904615 |
| Popis: | Deep Brain Stimulation (DBS) is an established treatment option for movement disorders and is investigated to treat a growing number of other brain disorders. It has been shown that DBS effects are highly dependent on exact electrode placement, which is especially important when probing novel indications or stereotactic targets. Thus, considering precise electrode placement is crucial when investigating efficacy of DBS targets. To measure clinical improvement as a function of electrode placement, neuroscientific methodology and specialized software tools are needed. Such tools should have the goal to make electrode placement comparable across patients and DBS centers, and include statistical analysis options to validate and define optimal targets. Moreover, to allow for comparability across different research sites, these need to be performed within an algorithmically and anatomically standardized and openly available group space. With the publication of Lead-DBS software in 2014, an open-source tool was introduced that allowed for precise electrode reconstructions based on pre- and postoperative neuroimaging data. Here, we introduce Lead Group, implemented within the Lead-DBS environment and specifically designed to meet aforementioned demands. In the present article, we showcase the various processing streams of Lead Group in a retrospective cohort of 51 patients suffering from Parkinson’s disease, who were implanted with DBS electrodes to the subthalamic nucleus (STN). Specifically, we demonstrate various ways to visualize placement of all electrodes in the group and map clinical improvement values to subcortical space. We do so by using active coordinates and volumes of tissue activated, showing converging evidence of an optimal DBS target in the dorsolateral STN. Second, we relate DBS outcome to the impact of each electrode on local structures by measuring overlap of stimulation volumes with the STN. Finally, we explore the software functions for connectomic mapping, which may be used to relate DBS outcomes to connectivity estimates with remote brain areas. We isolate a specific fiber bundle – which structurally resembles the hyperdirect pathway – that is associated with good clinical outcome in the cohort. The manuscript is accompanied by a walkthrough tutorial through which users are able to reproduce all main results presented in the present manuscript. All data and code needed to reproduce results are openly available.HighlightsWe present a novel toolbox to carry out DBS imaging analyses on a group-levelGroup electrodes are visualized in 2D and 3D and related to clinical regressorsA favorable target and connectivity profiles for the treatment of PD are validated |
| Databáze: | OpenAIRE |
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