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Proper Citation: LEAD-DBS (RRID:SCR_002915)
Description: MATLAB toolbox for deep-brain-stimulation (DBS) electrode reconstructions and visualizations based on postoperative MRI and computed tomography (CT) imaging. The toolbox also facilitates visualization of localization results in 2D/3D, analysis of DBS-electrode placement's effects on clinical results, simulation of DBS stimulations, diffusion tensor imaging (DTI) based connectivity estimates, and fiber-tracking from the VAT to other brain regions (connectomic surgery).
Synonyms: Lead-DBS, LEAD DBS, Lead DBS
Resource Type: software resource, software toolkit
Keywords: matlab, deep brain stimulation, structural mri, reconstruction, dwi, dti, volume of activated tissue, modeling, subcortical atlas, depression, mri, computed tomography, atlas application, simulation, diffusion mr fiber tracking, three dimensional display, two dimensional display, surface rendering, volume rendering, workflow, neuroimaging, data repository
Related Condition: Parkinson's disease, Dystonia, Depressive Disorder
Funding: DFG KFO 247
Availability: Free, Available for download, Freely available
Resource Name: LEAD-DBS
Resource ID: SCR_002915
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
