Lozano, A. M. et al. Deep brain stimulation: current challenges and future directions. Nat. Rev. Neurol. 15, 148–160 (2019).
Article PubMed PubMed Central Google Scholar
Neumann, W. -J., Gilron, R., Little, S. & Tinkhauser, G. Adaptive deep brain stimulation: from experimental evidence toward practical implementation. Mov. Disord. https://doi.org/10.1002/mds.29415 (2023).
Marceglia, S. et al. Deep brain stimulation: is it time to change gears by closing the loop? J. Neural Eng. 18, 061001 (2021).
Stanslaski, S. et al. Design and validation of a fully implantable, chronic, closed-loop neuromodulation device with concurrent sensing and stimulation. IEEE Trans. Neural Syst. Rehabil. Eng. 20, 410–421 (2012).
Stanslaski, S. et al. A chronically implantable neural coprocessor for investigating the treatment of neurological disorders. IEEE Trans. Biomed. Circuits Syst. 12, 1230–1245 (2018).
Article PubMed PubMed Central Google Scholar
Thenaisie, Y. et al. Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing. J. Neural Eng. 18, 042002 (2021).
Starr, P. A. Totally implantable bidirectional neural prostheses: a flexible platform for innovation in neuromodulation. Front. Neurosci. 12, 619 (2018).
Article PubMed PubMed Central Google Scholar
Nakajima, A. et al. Case report: chronic adaptive deep brain stimulation personalizing therapy based on Parkinsonian state. Front. Hum. Neurosci. 15, 702961 (2021).
Article PubMed PubMed Central Google Scholar
Gilron, R. et al. Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease. Nat. Biotechnol. 39, 1078–1085 (2021).
Article CAS PubMed PubMed Central Google Scholar
Little, S. & Brown, P. Debugging adaptive deep brain stimulation for Parkinson’s disease. Mov. Disord. 35, 555–561 (2020).
Article PubMed PubMed Central Google Scholar
Wilkins, K. B., Melbourne, J. A., Akella, P. & Bronte-Stewart, H. M. Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson’s disease. Front. Hum. Neurosci. 17, 1310393 (2023).
Article PubMed PubMed Central Google Scholar
Ansó, J. et al. Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience. J. Neural Eng. 19, 026025 (2022).
Ascherio, A. & Schwarzschild, M. A. The epidemiology of Parkinson’s disease: risk factors and prevention. Lancet Neurol. 15, 1257–1272 (2016).
Vitek, J. L. et al. Subthalamic nucleus deep brain stimulation with a multiple independent constant current-controlled device in Parkinson’s disease (INTREPID): a multicentre, double-blind, randomised, sham-controlled study. Lancet Neurol. 19, 491–501 (2020).
Article CAS PubMed Google Scholar
Okun, M. S. et al. Subthalamic deep brain stimulation with a constant-current device in Parkinson’s disease: an open-label randomised controlled trial. Lancet Neurol. 11, 140–149 (2012).
Weaver, F. M. et al. Bilateral deep brain stimulation vs best medical therapy for patients with advanced Parkinson disease: a randomized controlled trial. JAMA 301, 63–73 (2009).
Article CAS PubMed PubMed Central Google Scholar
Deuschl, G. et al. A randomized trial of deep-brain stimulation for Parkinson’s disease. N. Engl. J. Med. 355, 896–908 (2006).
Article CAS PubMed Google Scholar
Follett, K. A. et al. Pallidal versus subthalamic deep-brain stimulation for Parkinson’s disease. N. Engl. J. Med. 362, 2077–2091 (2010).
Article CAS PubMed Google Scholar
Odekerken, V. J. et al. Subthalamic nucleus versus globus pallidus bilateral deep brain stimulation for advanced Parkinson’s disease (NSTAPS study): a randomised controlled trial. Lancet Neurol. 12, 37–44 (2013).
Bronte-Stewart, H. et al. Adaptive DBS Algorithm for Personalized Therapy in Parkinson’s Disease: ADAPT-PD clinical trial methodology and early data (P1-11.002). Neurology https://doi.org/10.1212/WNL.0000000000203099 (2023).
Marceglia, S. et al. Double-blind cross-over pilot trial protocol to evaluate the safety and preliminary efficacy of long-term adaptive deep brain stimulation in patients with Parkinson’s disease. BMJ Open 12, e049955 (2022).
Article PubMed PubMed Central Google Scholar
Kühn, A. A., Kupsch, A., Schneider, G.-H. & Brown, P. Reduction in subthalamic 8-35 Hz oscillatory activity correlates with clinical improvement in Parkinson’s disease. Eur. J. Neurosci. 23, 1956–1960 (2006).
Kühn, A. A. et al. High-frequency stimulation of the subthalamic nucleus suppresses oscillatory β activity in patients with Parkinson’s disease in parallel with improvement in motor performance. J. Neurosci. 28, 6165–6173 (2008).
Article PubMed PubMed Central Google Scholar
Little, S. et al. Adaptive deep brain stimulation in advanced Parkinson disease. Ann. Neurol. 74, 449–457 (2013).
Article PubMed PubMed Central Google Scholar
Velisar, A. et al. Dual threshold neural closed loop deep brain stimulation in Parkinson disease patients. Brain Stimul. 12, 868–876 (2019).
Article CAS PubMed Google Scholar
Bocci, T. et al. Eight-hours conventional versus adaptive deep brain stimulation of the subthalamic nucleus in Parkinson’s disease. NPJ Park. Dis. 7, 88 (2021).
Tinkhauser, G. et al. The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson’s disease. Brain J. Neurol. 140, 1053–1067 (2017).
Bronstein, J. M. et al. Deep brain stimulation for Parkinson disease: an expert consensus and review of key issues. Arch. Neurol. 68, 165 (2011).
Swann, N. C. et al. Gamma oscillations in the hyperkinetic state detected with chronic human brain recordings in Parkinson’s disease. J. Neurosci. 36, 6445–6458 (2016).
Article CAS PubMed PubMed Central Google Scholar
Swann, N. C. et al. Adaptive deep brain stimulation for Parkinson’s disease using motor cortex sensing. J. Neural Eng. 15, 046006 (2018).
Article PubMed PubMed Central Google Scholar
Bove, F., Genovese, D. & Moro, E. Developments in the mechanistic understanding and clinical application of deep brain stimulation for Parkinson’s disease. Expert Rev. Neurother. 22, 789–803 (2022).
Article CAS PubMed Google Scholar
Wiest, C. et al. Finely-tuned gamma oscillations: spectral characteristics and links to dyskinesia. Exp. Neurol. 351, 113999 (2022).
Article CAS PubMed PubMed Central Google Scholar
Sermon, J. J. et al. Sub-harmonic entrainment of cortical gamma oscillations to deep brain stimulation in Parkinson’s disease: model based predictions and validation in three human subjects. Brain Stimul. 16, 1412–1424 (2023).
Article PubMed PubMed Central Google Scholar
Olaru, M. et al. Motor network gamma oscillations in chronic home recordings predict dyskinesia in Parkinson’s disease. Brain J. Neurol. https://doi.org/10.1093/brain/awae004 (2024).
Herdman, M. et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual. Life Res. 20, 1727–1736 (2011).
Comments (0)