Employing LFP recording to optimize stimulation location and amplitude in chronic DBS for Parkinson’s disease: A proof-of-concept pilot study

Swinnen, Bart E.K.S.; Stam, Mariëlle J.; Buijink, Arthur W.G.; de Neeling, Martijn G.J.; Schuurman, Peter R.; de Bie, Rob M.A.; Beudel, Martijn

doi:10.1016/j.jdbs.2023.05.003

Cited by 9 publications

(2 citation statements)

References 25 publications

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“…Evidence is building that BrainSense may be used to guide DBS programming setup and optimization in movements disorders and epilepsy (Feldmann et al, 2021 ; Buijink et al, 2022 ; Fasano et al, 2022 ; Strelow et al, 2022 ; Chua et al, 2023 ; Swinnen et al, 2023 ). Recent studies in Parkinson's disease suggest BrainSense can be used to streamline and reduce the time for initial DBS programming (Binder et al, 2023 ; Lewis et al, 2023 ), troubleshoot difficult cases, identify medication interactions, and mitigate potential overstimulation (Kern et al, 2022 ; Vaou et al, 2023 ).…”

Section: Advances In Commercially Available Neuromodulation Technologiesmentioning

confidence: 99%

Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Johnson,

Dosenbach,

Gordon

et al. 2024

Front. Hum. Neurosci.

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The Deep Brain Stimulation (DBS) Think Tank XI was held on August 9–11, 2023 in Gainesville, Florida with the theme of “Pushing the Forefront of Neuromodulation”. The keynote speaker was Dr. Nico Dosenbach from Washington University in St. Louis, Missouri. He presented his research recently published in Nature inn a collaboration with Dr. Evan Gordon to identify and characterize the somato-cognitive action network (SCAN), which has redefined the motor homunculus and has led to new hypotheses about the integrative networks underpinning therapeutic DBS. The DBS Think Tank was founded in 2012 and provides an open platform where clinicians, engineers, and researchers (from industry and academia) can freely discuss current and emerging DBS technologies, as well as logistical and ethical issues facing the field. The group estimated that globally more than 263,000 DBS devices have been implanted for neurological and neuropsychiatric disorders. This year's meeting was focused on advances in the following areas: cutting-edge translational neuromodulation, cutting-edge physiology, advances in neuromodulation from Europe and Asia, neuroethical dilemmas, artificial intelligence and computational modeling, time scales in DBS for mood disorders, and advances in future neuromodulation devices.

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Section: Advances In Commercially Available Neuromodulation Technologiesmentioning

confidence: 99%

Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Johnson,

Dosenbach,

Gordon

et al. 2024

Front. Hum. Neurosci.

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“…Right lead Our study is the first to suggest that LFPs could potentially be used to guide contact selection in patients with OCD. In Parkinson's disease, beta band LFPs have been used to guide contact selection (1,5,8,10). One study showed that when contacts were selected using LFP signals in the beta band, the clinical efficacy of DBS did not differ from when they were selected using traditional monopolar and bipolar review conducted by highly specialized clinicians (6).…”

Section: Left Leadmentioning

confidence: 99%

Case report: Clinical efficacy of deep brain stimulation contacts corresponds to local field potential signals in a patient with obsessive-compulsive disorder

Duffy,

Fenstermacher,

Thompson

et al. 2023

Front. Psychiatry

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IntroductionDeep brain stimulation (DBS) is often effective in treating severe obsessive-compulsive disorder (OCD) when traditional therapeutic approaches have failed. However, optimizing DBS programming is a time-consuming process. Recent research in movement disorders suggests that local field potentials can dramatically speed up the process of identifying the optimal contacts for stimulation, but this has not yet been tested in a patient with OCD.MethodsIn a patient with severe OCD, we first determined the optimal contact for stimulation for each hemisphere using traditional monopolar and bipolar review and then tested whether the clinically optimal contact in each hemisphere corresponded to local field potential signals.ResultsOverall, we found that clinical efficacy corresponded with the contacts that showed the strongest local field potential signals across multiple frequency bands.DiscussionOur findings are the first indication that local field potentials could guide contact selection in patients with OCD. If validated in a larger sample, this methodology could decrease time to clinical benefit and improve accuracy in patients that are difficult to assess using traditional methods. Further research is needed to determine whether local field potentials could be used to guide finer resolution in programming parameters.

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Computational Neurosurgery in Deep Brain Stimulation

Germann,

Gouveia,

Beyn

et al. 2024

Advances in Experimental Medicine and Biology

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Employing LFP recording to optimize stimulation location and amplitude in chronic DBS for Parkinson’s disease: A proof-of-concept pilot study

Cited by 9 publications

References 25 publications

Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Case report: Clinical efficacy of deep brain stimulation contacts corresponds to local field potential signals in a patient with obsessive-compulsive disorder

Computational Neurosurgery in Deep Brain Stimulation

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