Lead-DBS statistics

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Lead-DBS specifications

Information


Unique identifier OMICS_29877
Name Lead-DBS
Alternative name Lead Deep Brain Stimulation
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
License GNU General Public License version 3.0
Computer skills Advanced
Version 2
Stability Stable
Registration required Yes
Maintained Yes

Subtools


  • DISTAL (DBS IntrinSic Template AtLas)
  • Lead-Connectome

Versioning


Add your version

Documentation


Maintainer


  • person_outline Andreas Horn <>

Additional information


http://www.lead-dbs.org/helpsupport/manual

Publications for Lead Deep Brain Stimulation

Lead-DBS in publications

 (8)
PMCID: 5903366
PMID: 29664465
DOI: 10.1038/sdata.2018.63

[…] connectivity estimated from diffusion mri to functional connectivity estimated from resting-state fmri. a comprehensive list of subcortical atlases in mni152 space is available at: http://www.lead-dbs.org/., regional delineation in histological stained sections has long been considered the gold standard for brain atlas construction in large part due to the cellular resolution of optical […]

PMCID: 5836040
PMID: 29382059
DOI: 10.3390/brainsci8020021

[…] stimulation., all severely affected patients with sud received nac-dbs as part of the nasa or debrastra study, respectively. for visualization of the dbs electrodes in respect to the nac we used the lead-dbs toolbox []. electrode coordinates were calculated using a preoperative magnetic resonance imaging and a postoperative computed tomography (see )., in the scope of the present investigation, […]

PMCID: 5819947
PMID: 29388913
DOI: 10.7554/eLife.31895.019

[…] inside the subthalamic nucleus in deep brain stimulation patients. nevertheless, electrode placement was guided by intraoperative microelectrode recordings and controlled postoperatively using the lead-dbs toolbox (). moreover, effective intraoperative macrostimulation and a mean improvement of ~54% in motor symptoms (as assessed by updrs-iii score) during chronic deep brain stimulation […]

PMCID: 5540829
PMID: 28794978
DOI: 10.1016/j.nicl.2017.07.018

[…] for hemispheres not included in the results (see later) we had either 4 (2 nuclei in 2 patients) or 5 (2 nuclei in 2 patients) recording sites., we localized all recordings sites in 3d using the lead-dbs toolbox () version 1.5.1.2. this involved marking the electrodes’ positions on immediate postoperative stereotactic axial t2-weighted mri images (voxel size 0.488 × 0.488 × 2 mm), […]

PMCID: 5404874
PMID: 28441410
DOI: 10.1371/journal.pone.0176132

[…] factors is a pam., in addition to pams, activation volume tractography (avt) represents an alternative method to link tractography and stimulation. new academic software tools such as dbsproc [] and lead-dbs [] facilitate the creation of avt models. in general, both pams and avt use similar methods to construct a patient-specific model of the anatomy and the dbs electrode location. the major […]


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Lead-DBS institution(s)
Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité – University Medicine Berlin, Berlin, Germany; Department of Neurology, University Hospital of Cologne, Germany; Wayne State University, Department of Neurosurgery, Detroit, MI, USA; Ottawa Hospital Research Institute, Ottowa, ON, USA; Institute of Neuroradiology, Charité – University Medicine Berlin, Germany; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Interventional Neuroscience Group, Belvaux, Luxembourg; Bionics Institute, East Melbourne, VIC, Australia; Department of Medical Bionics, University of Melbourne, Parkville, VIC, Australia; Medical Physics, Department of Radiology, Faculty of Medicine, University Freiburg, Germany; Numerical Mathematics and Scientific Computing, Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, USA; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; NatMEG, Karolinska Institutet, Stockholm, Sweden; McCausland Center for Brain Imaging, University of South Carolina, Columbia, SC, USA; Department of Neurological Surgery, University of Pittsburgh PA, USA; Department of Bioengineering, Northeastern University, Boston, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA
Lead-DBS funding source(s)
Supported by Deutsche Forschungsgesellschaft (grants KFO 247, SPP 2041), Stiftung Charité, Berlin Institute of Health and Prof. Klaus Thiemann Foundation, the American Brain Foundation / American Academy of Neurology and NINDS grant K23NS099380, the NIH R01-GM114365 (from NIGMS) and R01-CA204443 (from NCI), the Victorian Government’s Operational Infrastructure Support Programme, the Colonial Foundation and the St. Vincent’s Hospital Melbourne Research Endowment Fund, the National Science Foundation (NSF): US IGNITE – 10037840, and by the National Institute of Dental and Craniofacial Research (NIDCR), the National Institute of Mental Health (NIMH), and the National Institute of Neurological Disorders and Stroke (NINDS).

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