Abstract
A more technical overview of the different kinds of DBS that patients have to choose from as well as some pointers about which kind of patient stands to benefit most from each. Including discussions on directional stimulation, adaptive stimulation as well as new technology that allows programming at great distances.
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Notes
- 1.
Picillo M, Lozano AM, Kou N, Puppi Munhoz R, Fasano A. Programming deep brain stimulation for Parkinson’s disease: the Toronto Western Hospital algorithms. Brain Stimul. 2016;9:425–37.
- 2.
Roediger J, Dembek TA, Achtzehn J, Busch JL, Krämer AP, Faust K, Schneider GH, Krause P, Horn A, Kühn AA. Automated deep brain stimulation programming based on electrode location: a randomised, crossover trial using a data-driven algorithm. Lancet Digit Health. 2023;5(2):e59–70. https://doi.org/10.1016/S2589-7500(22)00214-X.
- 3.
Boutet A, Madhavan R, Elias GJB, Joel SE, Gramer R, Ranjan M, Paramanandam V, Xu D, Germann J, Loh A, Kalia SK, Hodaie M, Li B, Prasad S, Coblentz A, Munhoz RP, Ashe J, Kucharczyk W, Fasano A, Lozano AM. Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning. Nat Commun. 2021;12:3043.
- 4.
Fasano A, Gorodetsky C, Paul D, Germann J, Loh A, Yan H, Carlen PL, Breitbart S, Lozano AM, Ibrahim GM, Kalia SK. Local field potential-based programming: a proof-of-concept pilot study. Neuromodulation. 2022;25:271–5.
- 5.
‘The Algorithm That Transformed The World’ is the title of Veritasium episode on Fast Fourier Transform (https://www.youtube.com/watch?v=nmgFG7PUHfo).
- 6.
Nakajima A, Shimo Y, Fuse A, Tokugawa J, Hishii M, Iwamuro H, Umemura A, Hattori N. Case report: chronic adaptive deep brain stimulation personalizing therapy based on parkinsonian state. Front Hum Neurosci. 2021;15:702961.
- 7.
Fasano A, Lozano AM. The FM/AM world is shaping the future of deep brain stimulation. Mov Disord. 2014;29:161–3.
- 8.
A few highlights from Ben’s initial programming session can be viewed by going to https://www.youtube.com/watch?v=SxFL-rQDQm4.
- 9.
Jitkritsadakul O, Rajalingam R, Toenjes C, Munhoz RP, Fasano A. Tele-health for patients with deep brain stimulation: the experience of the Ontario telemedicine network. Mov Disord. 2018;33:491–2.
- 10.
Bally JF, Rohani M, Ruiz-Lopez M, Paramanandam V, Munhoz RP, Hodaie M, Kalia SK, Lozano AM, Burkhard PR, Poncet A, Fasano A. Patient-adjusted deep-brain stimulation programming is time saving in dystonia patients. J Neurol. 2019;266:2423–9.
- 11.
Oliveira LM, Ruiz-Lopez M, Boutet A, Elias GJB, Kalia SK, Hodaie M, Lozano AM, Munhoz RP, Fasano A. Self-adjustment of deep brain stimulation delays optimization in Parkinson’s disease. Brain Stimul. 2021;14:676–81.
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Stecher, B., Fasano, A. (2024). ADD: Adaptive Vs. Directional Vs. Distance. In: Reprogramming the Brain. Springer, Cham. https://doi.org/10.1007/978-3-031-50399-3_8
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DOI: https://doi.org/10.1007/978-3-031-50399-3_8
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