According to Husch and colleagues, Lead-DBS is 'arguably the most established toolbox providing a semi-automatic framework for electrode localization' and Milchenko and colleagues described the tool as 'widely used'. Regarding the open-source nature of the software, Latorre and colleagues reported that 'A commitment of the community to open science will also democratize and increase the speed of advances with high uptake of currently available initiatives such as Lead-DBS'. The software has been used in a prospective clinical trial which showed that subthalamic stimulation settings in patients with Parkinson's disease which were generated with Lead-DBS were non-inferior to standard of care treatment. In 2022, the software was used to define optimal stimulation networks for DBS in Alzheimer's disease. In 2024, a new algorithm implemented with Lead-DBS was used to personalize DBS treatment in Parkinson's disease. Research carried out with Lead-DBS was featured at major news outlets, such as CNN and Fox News.
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Treu, Svenja; Strange, Bryan; Oxenford, Simon; Neumann, Wolf-Julian; Kühn, Andrea; Li, Ningfei; Horn, Andreas (October 2020). "Deep brain stimulation: Imaging on a group level". NeuroImage. 219: 117018. doi:10.1016/j.neuroimage.2020.117018. PMID 32505698. https://linkinghub.elsevier.com/retrieve/pii/S1053811920305048
Treu, Svenja; Strange, Bryan; Oxenford, Simon; Neumann, Wolf-Julian; Kühn, Andrea; Li, Ningfei; Horn, Andreas (October 2020). "Deep brain stimulation: Imaging on a group level". NeuroImage. 219: 117018. doi:10.1016/j.neuroimage.2020.117018. PMID 32505698. https://linkinghub.elsevier.com/retrieve/pii/S1053811920305048
Oxenford, Simón; Roediger, Jan; Neudorfer, Clemens; Milosevic, Luka; Güttler, Christopher; Spindler, Philipp; Vajkoczy, Peter; Neumann, Wolf-Julian; Kühn, Andrea; Horn, Andreas (2022-05-20). "Lead-OR: A multimodal platform for deep brain stimulation surgery". eLife. 11. doi:10.7554/eLife.72929. ISSN 2050-084X. PMC 9177150. PMID 35594135. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177150
Butenko, Konstantin; Bahls, Christian; Schröder, Max; Köhling, Rüdiger; van Rienen, Ursula (2020-07-06). Marinazzo, Daniele (ed.). "OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling". PLOS Computational Biology. 16 (7): e1008023. Bibcode:2020PLSCB..16E8023B. doi:10.1371/journal.pcbi.1008023. ISSN 1553-7358. PMC 7384674. PMID 32628719. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384674
Horn, Andreas; Li, Ningfei; Dembek, Till A.; Kappel, Ari; Boulay, Chadwick; Ewert, Siobhan; Tietze, Anna; Husch, Andreas; Perera, Thushara; Neumann, Wolf-Julian; Reisert, Marco; Si, Hang; Oostenveld, Robert; Rorden, Christopher; Yeh, Fang-Cheng (January 2019). "Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging". NeuroImage. 184: 293–316. doi:10.1016/j.neuroimage.2018.08.068. PMC 6286150. PMID 30179717. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286150
Neudorfer, Clemens; Butenko, Konstantin; Oxenford, Simon; Rajamani, Nanditha; Achtzehn, Johannes; Goede, Lukas; Hollunder, Barbara; Ríos, Ana Sofía; Hart, Lauren; Tasserie, Jordy; Fernando, Kavisha B.; Nguyen, T. A. Khoa; Al-Fatly, Bassam; Vissani, Matteo; Fox, Michael (March 2023). "Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks". NeuroImage. 268: 119862. doi:10.1016/j.neuroimage.2023.119862. PMC 10144063. PMID 36610682. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144063
Husch, Andreas; V. Petersen, Mikkel; Gemmar, Peter; Goncalves, Jorge; Hertel, Frank (2018). "PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation". NeuroImage: Clinical. 17: 80–89. doi:10.1016/j.nicl.2017.10.004. PMC 5645007. PMID 29062684. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645007
Milchenko, Mikhail; Snyder, Abraham Z.; Campbell, Meghan C.; Dowling, Joshua L.; Rich, Keith M.; Brier, Lindsey M.; Perlmutter, Joel S.; Norris, Scott A. (October 2018). "ESM-CT: a precise method for localization of DBS electrodes in CT images". Journal of Neuroscience Methods. 308: 366–376. doi:10.1016/j.jneumeth.2018.09.009. PMC 6205293. PMID 30201271. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205293
Latorre, Anna; Rocchi, Lorenzo; Sadnicka, Anna (2021-05-14). "The Expanding Horizon of Neural Stimulation for Hyperkinetic Movement Disorders". Frontiers in Neurology. 12. doi:10.3389/fneur.2021.669690. ISSN 1664-2295. PMC 8160223. PMID 34054710. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160223
Roediger, Jan; Dembek, Till A; Achtzehn, Johannes; Busch, Johannes L; Krämer, Anna-Pauline; Faust, Katharina; Schneider, Gerd-Helge; Krause, Patricia; Horn, Andreas; Kühn, Andrea A (February 2023). "Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm". The Lancet Digital Health. 5 (2): e59 – e70. doi:10.1016/S2589-7500(22)00214-X. PMID 36528541. https://linkinghub.elsevier.com/retrieve/pii/S258975002200214X
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"Researchers map deep brain stimulation target for Alzheimer's disease". EurekAlert!. Retrieved 2024-08-11. https://www.eurekalert.org/news-releases/974384
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Goodman, Brenda (2024-03-15). "Deep brain stimulation didn't work for a young OCD patient until new brain maps changed everything". CNN. Retrieved 2024-08-11. https://www.cnn.com/2024/03/15/health/deep-brain-stimulation-ocd-study-wellness/index.html
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