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Rajamani N, Friedrich H, Butenko K, Dembek T, Lange F, Navrátil P, Zvarova P, Hollunder B, de Bie RMA, Odekerken VJJ, Volkmann J, Xu X, Ling Z, Yao C, Ritter P, Neumann WJ, Skandalakis GP, Komaitis S, Kalyvas A, Koutsarnakis C, Stranjalis G, Barbe M, Milanese V, Fox MD, Kühn AA, Middlebrooks E, Li N, Reich M, Neudorfer C, Horn A. Deep brain stimulation of symptom-specific networks in Parkinson's disease. Nat Commun 2024; 15:4662. [PMID: 38821913 PMCID: PMC11143329 DOI: 10.1038/s41467-024-48731-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/13/2024] [Indexed: 06/02/2024] Open
Abstract
Deep Brain Stimulation can improve tremor, bradykinesia, rigidity, and axial symptoms in patients with Parkinson's disease. Potentially, improving each symptom may require stimulation of different white matter tracts. Here, we study a large cohort of patients (N = 237 from five centers) to identify tracts associated with improvements in each of the four symptom domains. Tremor improvements were associated with stimulation of tracts connected to primary motor cortex and cerebellum. In contrast, axial symptoms are associated with stimulation of tracts connected to the supplementary motor cortex and brainstem. Bradykinesia and rigidity improvements are associated with the stimulation of tracts connected to the supplementary motor and premotor cortices, respectively. We introduce an algorithm that uses these symptom-response tracts to suggest optimal stimulation parameters for DBS based on individual patient's symptom profiles. Application of the algorithm illustrates that our symptom-tract library may bear potential in personalizing stimulation treatment based on the symptoms that are most burdensome in an individual patient.
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Affiliation(s)
- Nanditha Rajamani
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Helen Friedrich
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- University of Würzburg, Faculty of Medicine, Josef-Schneider-Str. 2, 97080, Würzburg, Germany
| | - Konstantin Butenko
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Till Dembek
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, University of Cologne, Cologne, Germany
| | - Florian Lange
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Pavel Navrátil
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Patricia Zvarova
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
| | - Barbara Hollunder
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
| | - Rob M A de Bie
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Vincent J J Odekerken
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Jens Volkmann
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Xin Xu
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhipei Ling
- Department of Neurosurgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan, 572000, China
| | - Chen Yao
- Department of Neurosurgery, The National Key Clinic Specialty, Shenzhen Key Laboratory of Neurosurgery, the First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, 518035, China
| | - Petra Ritter
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
- Bernstein center for Computational Neuroscience Berlin, Berlin, 10117, Germany
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Georgios P Skandalakis
- Section of Neurosurgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, 03756, USA
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - Spyridon Komaitis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
- Centre for Spinal Studies and Surgery, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Aristotelis Kalyvas
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
- Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Christos Koutsarnakis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - George Stranjalis
- Department of Neurosurgery, National and Kapodistrian University of Athens Medical School, Evangelismos General Hospital, Athens, Greece
| | - Michael Barbe
- Department of Neurology, University of Cologne, Cologne, Germany
| | - Vanessa Milanese
- Neurosurgical Division, Hospital Beneficência Portuguesa de São Paulo, São Paulo, Brazil
- Department of Neurosurgery, Mayo Clinic, Florida, USA
- Movement Disorders and Neuromodulation Unit, DOMMO Clinic, São Paulo, Brazil
| | - Michael D Fox
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, 10117, Germany
- Brain Simulation Section, Department of Neurology, Charité University Medicine Berlin and Berlin Institute of Health, Berlin, 10117, Germany
| | | | - Ningfei Li
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Reich
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Clemens Neudorfer
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Brain Circuit Therapeutics Department of Neurology Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, 02114, USA
- Brain Modulation Lab, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, 02114, USA
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Bočková M, Lamoš M, Chrastina J, Daniel P, Kupcová S, Říha I, Šmahovská L, Baláž M, Rektor I. Coupling between beta band and high frequency oscillations as a clinically useful biomarker for DBS. NPJ Parkinsons Dis 2024; 10:40. [PMID: 38383550 PMCID: PMC10882016 DOI: 10.1038/s41531-024-00656-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 02/07/2024] [Indexed: 02/23/2024] Open
Abstract
Beta hypersynchrony was recently introduced into clinical practice in Parkinson's disease (PD) to identify the best stimulation contacts and for adaptive deep brain stimulation (aDBS) sensing. However, many other oscillopathies accompany the disease, and beta power sensing may not be optimal for all patients. The aim of this work was to study the potential clinical usefulness of beta power phase-amplitude coupling (PAC) with high frequency oscillations (HFOs). Subthalamic nucleus (STN) local field potentials (LFPs) from externalized DBS electrodes were recorded and analyzed in PD patients (n = 19). Beta power and HFOs were evaluated in a resting-state condition; PAC was then studied and compared with the electrode contact positions, structural connectivity, and medication state. Beta-HFO PAC (mainly in the 200-500 Hz range) was observed in all subjects. PAC was detectable more specifically in the motor part of the STN compared to beta power and HFOs. Moreover, the presence of PAC better corresponds to the stimulation setup based on the clinical effect. PAC is also sensitive to the laterality of symptoms and dopaminergic therapy, where the greater PAC cluster reflects the more affected side and medication "off" state. Coupling between beta power and HFOs is known to be a correlate of the PD "off" state. Beta-HFO PAC seems to be more sensitive than beta power itself and could be more helpful in the selection of the best clinical stimulation contact and probably also as a potential future input signal for aDBS.
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Affiliation(s)
- Martina Bočková
- Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
| | - Martin Lamoš
- Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Jan Chrastina
- Department of Neurosurgery, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
| | - Pavel Daniel
- Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
| | - Silvia Kupcová
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ivo Říha
- Department of Neurosurgery, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
| | - Lucia Šmahovská
- First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Marek Baláž
- Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic
| | - Ivan Rektor
- Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
- First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Brno, Czech Republic.
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El Ouadih Y, Marques A, Pereira B, Luisoni M, Claise B, Coste J, Sontheimer A, Chaix R, Debilly B, Derost P, Morand D, Durif F, Lemaire JJ. Deep brain stimulation of the subthalamic nucleus in severe Parkinson's disease: relationships between dual-contact topographic setting and 1-year worsening of speech and gait. Acta Neurochir (Wien) 2023; 165:3927-3941. [PMID: 37889334 DOI: 10.1007/s00701-023-05843-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/24/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Subthalamic nucleus (STN) deep brain stimulation (DBS) alleviates severe motor fluctuations and dyskinesia in Parkinson's disease, but may result in speech and gait disorders. Among the suspected or demonstrated causes of these adverse effects, we focused on the topography of contact balance (CB; individual, right and left relative dual positions), a scantly studied topic, analyzing the relationships between symmetric or non-symmetric settings, and the worsening of these signs. METHOD An observational monocentric study was conducted on a series of 92 patients after ethical approval. CB was specified by longitudinal and transversal positions and relation to the STN (CB sub-aspects) and totalized at the patient level (patient CB). CB was deemed symmetric when the two contacts were at the same locations relative to the STN. CB was deemed asymmetric when at least one sub-aspect differed in the patient CB. Baseline and 1-year characteristics were routinely collected: (i) general, namely, Unified Parkinson's Disease Rating Scores (UPDRS), II, III motor and IV, daily levodopa equivalent doses, and Parkinson's Disease Questionnaire of Quality of Life (PDQ39) scores; (ii) specific, namely scores for speech (II-5 and III-18) and axial signs (II-14, III-28, III-29, and III-30). Only significant correlations were considered (p < 0.05). RESULTS Baseline characteristics were comparable (symmetric versus asymmetric). CB settings were related to deteriorations of speech and axial signs: communication PDQ39 and UPDRS speech and gait scores worsened exclusively with symmetric settings; the most influential CB sub-aspect was symmetric longitudinal position. CONCLUSION Our findings suggest that avoiding symmetric CB settings, whether by electrode positioning or shaping of electric fields, could reduce worsening of speech and gait.
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Affiliation(s)
- Youssef El Ouadih
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurochirurgie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Ana Marques
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Bruno Pereira
- Direction de La Recherche Clinique Et de L'Innovation, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Maxime Luisoni
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
| | - Béatrice Claise
- Service de Radiologie, Unité de Neuroradiologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Jérôme Coste
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurochirurgie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Anna Sontheimer
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurochirurgie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Rémi Chaix
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurochirurgie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Bérangère Debilly
- Service de Neurologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Philippe Derost
- Service de Neurologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Dominique Morand
- Direction de La Recherche Clinique Et de L'Innovation, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Franck Durif
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France
- Service de Neurologie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Jean-Jacques Lemaire
- Université Clermont Auvergne, Clermont Auvergne INP, CHU Clermont-Ferrand, CNRS, Institut Pascal, 63000, Clermont-Ferrand, France.
- Service de Neurochirurgie, CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France.
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Wilkins KB, Melbourne JA, Akella P, Bronte-Stewart HM. Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease. Front Hum Neurosci 2023; 17:1310393. [PMID: 38094147 PMCID: PMC10716917 DOI: 10.3389/fnhum.2023.1310393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/09/2023] [Indexed: 02/01/2024] Open
Abstract
Over the past three decades, deep brain stimulation (DBS) for Parkinson's disease (PD) has been applied in a continuous open loop fashion, unresponsive to changes in a given patient's state or symptoms over the course of a day. Advances in recent neurostimulator technology enable the possibility for closed loop adaptive DBS (aDBS) for PD as a treatment option in the near future in which stimulation adjusts in a demand-based manner. Although aDBS offers great clinical potential for treatment of motor symptoms, it also brings with it the need for better understanding how to implement it in order to maximize its benefits. In this perspective, we outline considerations for programing several key parameters for aDBS based on our experience across several aDBS-capable research neurostimulators. At its core, aDBS hinges on successful identification of relevant biomarkers that can be measured reliably in real-time working in cohesion with a control policy that governs stimulation adaption. However, auxiliary parameters such as the window in which stimulation is allowed to adapt, as well as the rate it changes, can be just as impactful on performance and vary depending on the control policy and patient. A standardize protocol for programming aDBS will be crucial to ensuring its effective application in clinical practice.
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Affiliation(s)
- Kevin B. Wilkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Jillian A. Melbourne
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Pranav Akella
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Helen M. Bronte-Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
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Matin Nazar A, Mohsenian R, Rayegani A, Shadfar M, Jiao P. Skin-Contact Triboelectric Nanogenerator for Energy Harvesting and Motion Sensing: Principles, Challenges, and Perspectives. BIOSENSORS 2023; 13:872. [PMID: 37754106 PMCID: PMC10526904 DOI: 10.3390/bios13090872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023]
Abstract
Energy harvesting has become an increasingly important field of research as the demand for portable and wearable devices continues to grow. Skin-contact triboelectric nanogenerator (TENG) technology has emerged as a promising solution for energy harvesting and motion sensing. This review paper provides a detailed overview of skin-contact TENG technology, covering its principles, challenges, and perspectives. The introduction begins by defining skin-contact TENG and explaining the importance of energy harvesting and motion sensing. The principles of skin-contact TENG are explored, including the triboelectric effect and the materials used for energy harvesting. The working mechanism of skin-contact TENG is also discussed. This study then moves onto the applications of skin-contact TENG, focusing on energy harvesting for wearable devices and motion sensing for healthcare monitoring. Furthermore, the integration of skin-contact TENG technology with other technologies is discussed to highlight its versatility. The challenges in skin-contact TENG technology are then highlighted, which include sensitivity to environmental factors, such as humidity and temperature, biocompatibility and safety concerns, and durability and reliability issues. This section of the paper provides a comprehensive evaluation of the technological limitations that must be considered when designing skin-contact TENGs. In the Perspectives and Future Directions section, this review paper highlights various advancements in materials and design, as well as the potential for commercialization. Additionally, the potential impact of skin-contact TENG technology on the energy and healthcare industries is discussed.
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Affiliation(s)
- Ali Matin Nazar
- Donghai Laboratory, Zhoushan 316021, China;
- Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining 314400, China
| | - Reza Mohsenian
- College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA 02215, USA;
| | - Arash Rayegani
- Centre for Infrastructure Engineering, Western Sydney University, Kingswood, NSW 2747, Australia;
| | - Mohammadamin Shadfar
- School of Medicine, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China;
| | - Pengcheng Jiao
- Donghai Laboratory, Zhoushan 316021, China;
- Institute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan 316021, China
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Ferreira Felloni Borges Y, Cheyuo C, Lozano AM, Fasano A. Essential Tremor - Deep Brain Stimulation vs. Focused Ultrasound. Expert Rev Neurother 2023; 23:603-619. [PMID: 37288812 DOI: 10.1080/14737175.2023.2221789] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/01/2023] [Indexed: 06/09/2023]
Abstract
INTRODUCTION Essential Tremor (ET) is one of the most common tremor syndromes typically presented as action tremor, affecting mainly the upper limbs. In at least 30-50% of patients, tremor interferes with quality of life, does not respond to first-line therapies and/or intolerable adverse effects may occur. Therefore, surgery may be considered. AREAS COVERED In this review, the authors discuss and compare unilateral ventral intermedius nucleus deep brain stimulation (VIM DBS) and bilateral DBS with Magnetic Resonance-guided Focused Ultrasound (MRgFUS) thalamotomy, which comprises focused acoustic energy generating ablation under real-time MRI guidance. Discussion includes their impact on tremor reduction and their potential complications. Finally, the authors provide their expert opinion. EXPERT OPINION DBS is adjustable, potentially reversible and allows bilateral treatments; however, it is invasive requires hardware implantation, and has higher surgical risks. Instead, MRgFUS is less invasive, less expensive, and requires no hardware maintenance. Beyond these technical differences, the decision should also involve the patient, family, and caregivers.
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Affiliation(s)
- Yuri Ferreira Felloni Borges
- Edmond J. Safra Program in Parkinson's Disease, Division of Neurology, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, University of Toronto, Toronto, ON, Canada
| | - Cletus Cheyuo
- Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Krembil Brain Institute, Toronto, ON, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Division of Neurology, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, University of Toronto, Toronto, ON, Canada
- Krembil Brain Institute, Toronto, ON, Canada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada
- Department of Parkinson's Disease & Movement Disorders Rehabilitation, Moriggia-Pelascini Hospital, Gravedona Ed Uniti, Como, Italy
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Radcliffe EM, Baumgartner AJ, Kern DS, Al Borno M, Ojemann S, Kramer DR, Thompson JA. Oscillatory beta dynamics inform biomarker-driven treatment optimization for Parkinson's disease. J Neurophysiol 2023; 129:1492-1504. [PMID: 37198135 DOI: 10.1152/jn.00055.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/23/2023] [Accepted: 05/17/2023] [Indexed: 05/19/2023] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by loss of dopaminergic neurons and dysregulation of the basal ganglia. Cardinal motor symptoms include bradykinesia, rigidity, and tremor. Deep brain stimulation (DBS) of select subcortical nuclei is standard of care for medication-refractory PD. Conventional open-loop DBS delivers continuous stimulation with fixed parameters that do not account for a patient's dynamic activity state or medication cycle. In comparison, closed-loop DBS, or adaptive DBS (aDBS), adjusts stimulation based on biomarker feedback that correlates with clinical state. Recent work has identified several neurophysiological biomarkers in local field potential recordings from PD patients, the most promising of which are 1) elevated beta (∼13-30 Hz) power in the subthalamic nucleus (STN), 2) increased beta synchrony throughout basal ganglia-thalamocortical circuits, notably observed as coupling between the STN beta phase and cortical broadband gamma (∼50-200 Hz) amplitude, and 3) prolonged beta bursts in the STN and cortex. In this review, we highlight relevant frequency and time domain features of STN beta measured in PD patients and summarize how spectral beta power, oscillatory beta synchrony, phase-amplitude coupling, and temporal beta bursting inform PD pathology, neurosurgical targeting, and DBS therapy. We then review how STN beta dynamics inform predictive, biomarker-driven aDBS approaches for optimizing PD treatment. We therefore provide clinically useful and actionable insight that can be applied toward aDBS implementation for PD.
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Affiliation(s)
- Erin M Radcliffe
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Alexander J Baumgartner
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Drew S Kern
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Mazen Al Borno
- Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Computer Science and Engineering, University of Colorado Denver, Denver, Colorado, United States
| | - Steven Ojemann
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Daniel R Kramer
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - John A Thompson
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Bioengineering, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
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Thompson JA, Hirt L, David‐Gerecht P, Fasano A, Kramer DR, Ojemann SG, Kern DS. Comparison of Monopolar Review to Fixed Parameter Fractionation in Deep Brain Stimulation. Mov Disord Clin Pract 2023; 10:987-991. [PMID: 37332654 PMCID: PMC10272899 DOI: 10.1002/mdc3.13750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/21/2023] [Accepted: 03/29/2023] [Indexed: 06/20/2023] Open
Abstract
Background Technological advancements in deep brain stimulation (DBS) require methodological changes in programming. Fractionalization poses significant practical challenges for the most common approach for assessing DBS efficacy, monopolar review (MR). Objectives Two DBS programming methods: MR and fixed parameter vertical and horizontal fractionalization (FPF) were compared. Methods A two-phase process of vertical and horizontal FPF was performed. MR was conducted thereafter. After a short wash-out period, both optimal configurations determined by MR and FPF were tested in a double-blind randomized manner. Results Seven PD patients were enrolled, providing 11 hemispheres to compare the two conditions. In all subjects, the blinded examiner selected a directional or fractionalization configuration. There was no significant difference in clinical benefits between MR and FPF. FPF was the preferred method for initial programming as selected by subject and clinician. Conclusions FPF programming is a viable and efficient methodology that may be incorporated into clinical practice.
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Affiliation(s)
- John A. Thompson
- Department of NeurologyUniversity of Colorado School of MedicineAuroraColoradoUSA
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Lisa Hirt
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Pamela David‐Gerecht
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Alfonso Fasano
- Department of NeurologyUniversity of TorontoTorontoOntarioUSA
| | - Daniel R. Kramer
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Steven G. Ojemann
- Department of NeurologyUniversity of Colorado School of MedicineAuroraColoradoUSA
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
| | - Drew S. Kern
- Department of NeurologyUniversity of Colorado School of MedicineAuroraColoradoUSA
- Department of NeurosurgeryUniversity of Colorado School of MedicineAuroraColoradoUSA
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9
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Nip ISB, Burke MM, Kim Y. The Effects of Deep Brain Stimulation on Speech Motor Control in People With Parkinson's Disease. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:804-819. [PMID: 36780302 DOI: 10.1044/2022_jslhr-22-00443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
PURPOSE Despite the overall benefits of deep brain stimulation (DBS) in Parkinson's disease (PD), its effects on speech production have been mixed when examined using auditory-perceptual and acoustic measures. This study investigated the effects of DBS on the lip and jaw kinematics during sentence production in individuals with dysarthria secondary to PD. METHOD Twenty-seven participants from three groups were included in the study: (a) individuals with PD and without DBS (PD group), (b) individuals with PD and with DBS (PD-DBS group), and (c) neurologically healthy control speakers (HC group). Lip and jaw movements during speech were recorded using optical motion capture and analyzed for path distance, speed, duration, articulatory stability, and interarticulator coordination. RESULTS The PD-DBS group showed (a) increased path distance compared with the PD and HC groups and (b) increased speed compared with the PD group but not the HC group. Both PD and PD-DBS groups exhibited lengthened sentence duration compared with the HC group. Articulatory stability was greater for the two PD groups, PD and PD-DBS, compared with the HC group. Spatial, but not temporal, coordination was lower for the PD group than for the other two groups. The only kinematic changes between the DBS on and off conditions within the PD-DBS group were increases in spatial coordination. CONCLUSIONS These data suggest that DBS primarily affects the amplitude scaling of articulatory movements, but not the temporal scaling, in individuals with PD. The findings are discussed with respect to the DBS-induced neural changes and their effects on speech motor control in PD.
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Affiliation(s)
- Ignatius S B Nip
- School of Speech, Language, and Hearing Sciences, San Diego State University, CA
| | - Mathes M Burke
- School of Speech, Language, and Hearing Sciences, San Diego State University, CA
| | - Yunjung Kim
- School of Communication Science and Disorders, Florida State University, Tallahassee
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10
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Efficacy of short pulse and conventional deep brain stimulation in Parkinson's disease: a systematic review and meta-analysis. Neurol Sci 2023; 44:815-825. [PMID: 36383263 DOI: 10.1007/s10072-022-06484-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 10/28/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) is a common treatment for Parkinson's disease. However, the clinical efficacy of short pulse width DBS (spDBS) compared with conventional DBS (cDBS) is still unknown. OBJECTIVE This meta-analysis investigated the effectiveness of spDBS versus cDBS in patients with PD. METHODS Four databases (PubMed, Cochrane, Web of Science, and Embase) were independently searched until October 2021 by two reviewers. We utilized the following scales and items: therapeutic windows (TW), efficacy threshold, side effect threshold, Movement Disorder Society-Sponsored Revision Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III off-medication score, Speech Intelligence Test (SIT), and Freezing of Gait Questionnaire (FOG-Q). RESULTS The analysis included seven studies with a total of 87 patients. The results indicated that spDBS significantly widened the therapeutic windows (0.99, 95% CI = 0.61 to 1.38) while increasing the threshold amplitudes of side effects (2.25, 95% CI = 1.69 to 2.81) and threshold amplitudes of effects (1.60, 95% CI = 0.84 to 2.36). There was no statistically significant difference in UPDRS part III, SIT, and FOG-Q scores between spDBS and cDBS groups, suggesting that treatment with both cDBS and spDBS may result in similar effects of improved dysarthria and gait disorders. CONCLUSIONS Compared with cDBS, spDBS is effective in expanding TW. Both types of deep brain stimulation resulted in improved gait disorders and speech intelligibility.
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Advances in applications of head mounted devices (HMDs): Physical techniques for drug delivery and neuromodulation. J Control Release 2023; 354:810-820. [PMID: 36709924 DOI: 10.1016/j.jconrel.2023.01.061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/23/2023] [Accepted: 01/23/2023] [Indexed: 01/31/2023]
Abstract
Head-mounted medical devices (HMDs) are disruptive inventions representing laboratories and clinical institutions worldwide are climbing the apexes of brain science. These complex devices are inextricably linked with a wide range knowledge containing the Physics, Imaging, Biomedical engineering, Biology and Pharmacology, particularly could be specifically designed for individuals, and finally exerting integrated bio-effect. The salient characteristics of them are non-invasive intervening in human brain's physiological structures, and alterating the biological process, such as thermal ablating the tumor, opening the BBB to deliver drugs and neuromodulating to enhance cognitive performance or manipulate prosthetic. The increasing demand and universally accepted of them have set off a dramatic upsurge in HMDs' studies, seminal applications of them span from clinical use to psychiatric disorders and neurological modulation. With subsequent pre-clinical studies and human trials emerging, the mechanisms of transcranial stimulation methods of them were widely studied, and could be basically came down to three notable approach: magnetic, electrical and ultrasonic stimulation. This review provides a comprehensive overviews of their stimulating mechanisms, and recent advances in clinic and military. We described the potential impact of HMDs on brain science, and current challenges to extensively adopt them as promising alternative treating tools.
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Pintér D, Járdaházi E, Balás I, Harmat M, Makó T, Juhász A, Janszky J, Kovács N. Antiparkinsonian Drug Reduction After Directional Versus Omnidirectional Bilateral Subthalamic Deep Brain Stimulation. Neuromodulation 2023; 26:374-381. [PMID: 35190245 DOI: 10.1016/j.neurom.2022.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 12/15/2021] [Accepted: 01/08/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Several pilot trials and the Clinical Evaluation of the Infinity Deep Brain Stimulation System (PROGRESS) study have found that directional stimulation can provide a wider therapeutic window and lower therapeutic current strength than omnidirectional stimulation. OBJECTIVE We conducted a single-center, open-label, registry-based, comparative trial to test the hypothesis that directional stimulation can be associated with a greater reduction in the total daily dose of antiparkinsonian medications (ApMeds) than omnidirectional stimulation. MATERIALS AND METHODS A total of 52 patients with directional and 57 subjects with omnidirectional bilateral subthalamic deep brain stimulation (STN-DBS) were enrolled. Preoperatively and 12 months postoperatively, the dose of different ApMeds, the number of tablets used daily, the severity of motor and nonmotor symptoms using the Movement Disorder Society-sponsored Unified Parkinson Disease Rating Scale, and the health-related quality of life (HRQoL) using the 39-item Parkinson's Disease Questionnaire (PDQ-39) were assessed. RESULTS According to the changes in the levodopa equivalent daily dose, directional STN-DBS led to a 13% greater reduction in the total daily dose of ApMed. The 10.3% greater reduction in the dose of levodopa was the main contributor to this difference. The number of different ApMed types also could be decreased in a greater manner with directional stimulation. The improvement in the severity of motor and nonmotor symptoms was comparable; however, we detected a 15.8% greater improvement in the global HRQoL among patients with directional stimulation according to the changes in the summary index of the PDQ-39. The total electrical energy delivered per second was comparable between the groups at 12-month postoperative visit, whereas the amplitude of stimulation was significantly lower and the impedance was significantly higher with directional leads. CONCLUSIONS Directional programming can further increase the reduction in the total daily dose of ApMed after STN-DBS. In addition, directional stimulation can have additional beneficial effects on the global HRQoL. The greater reduction of ApMed doses did not require more energy-consuming stimulation with directional stimulation.
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Affiliation(s)
- Dávid Pintér
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary.
| | - Evelyn Járdaházi
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - István Balás
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - Márk Harmat
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Tamás Makó
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Annamária Juhász
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - József Janszky
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| | - Norbert Kovács
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
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13
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Abdollahifard S, Farrokhi A, Mosalamiaghili S, Assadian K, Yousefi O, Razmkon A. Constant current or constant voltage deep brain stimulation: short answers to a long story. Acta Neurol Belg 2023; 123:1-8. [PMID: 36309957 DOI: 10.1007/s13760-022-02118-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/11/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE Recently, the feature of generating constant current output has been added to the implantable pulse generators (IPGs). The efficacy of the conventionally used constant voltage (CV) stimulation has been proved in different movement and psychiatric disorders. In this systematic review, we aimed to discuss the effect of constant current (CC) and constant voltage stimulation on patients with Parkinson's disease (PD) who had subthalamic nucleus deep brain stimulation implantation; we also compared these methods of stimulation with each other. METHODS Using the words "Deep brain stimulation", "constant current" and "constant voltage", we developed a broad search strategy and a systematic search was conducted in PubMed, Scopus, Web of Science and Cochrane electronic bibliographic databases. Studies on the Parkinson's disease patients with subthalamic deep brain stimulation, which mentioned constant current or/and constant voltage setting stimulation were included. RESULTS After screening of 284 articles, 10 reports were found eligible for this study. The score of unified Parkinson's disease rating scale part 3 was improved compared to the baseline, whether the stimulation was CV at baseline or CC. No significant change in non-motor outcomes was found. CONCLUSIONS Although CC stimulation has shown a significant improvement in both motor and non-motor symptoms of PD, switching from CV to CC did not result in a significant change in the score of these items based on UPDRS. To sum up, implantation of constant current devices is safe and significantly improves motor function; it also maintains an acceptable safety profile in patients with PD.
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Affiliation(s)
- Saeed Abdollahifard
- Research Center for Neuromodulation and Pain, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amirmohammad Farrokhi
- Research Center for Neuromodulation and Pain, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyedarad Mosalamiaghili
- Research Center for Neuromodulation and Pain, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kasra Assadian
- Research Center for Neuromodulation and Pain, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Omid Yousefi
- Research Center for Neuromodulation and Pain, Shiraz, Iran
| | - Ali Razmkon
- Research Center for Neuromodulation and Pain, Shiraz, Iran.
- Pierre Deniker Clinical Research Unit, Henri Laborit Hospital Centre, Poitiers, France.
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Kleinholdermann U, Bacara B, Timmermann L, Pedrosa DJ. Prediction of Movement Ratings and Deep Brain Stimulation Parameters in Idiopathic Parkinson's Disease. Neuromodulation 2023; 26:356-363. [PMID: 36396526 DOI: 10.1016/j.neurom.2022.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/24/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) parameter fine-tuning after lead implantation is laborious work because of the almost uncountable possible combinations. Patients and practitioners often gain the perception that assistive devices could be beneficial for adjusting settings effectively. OBJECTIVE We aimed at a proof-of-principle study to assess the benefits of noninvasive movement recordings as a means to predict best DBS settings. MATERIALS AND METHODS For this study, 32 patients with idiopathic Parkinson's disease, under chronic subthalamic nucleus stimulation with directional leads, were recorded. During monopolar review, each available contact was activated with currents between 0.5 and 5 mA, and diadochokinesia, rigidity, and tapping ability were rated clinically. Moreover, participants' movements were measured during four simple hand movement tasks while wearing a commercially available armband carrying an inertial measurement unit (IMU). We trained random forest models to learn the relations between clinical ratings, electrode settings, and movement features obtained from the IMU. RESULTS Firstly, we could show that clinical mobility ratings can be predicted from IMU features with correlations of up to r = 0.68 between true and predicted values. Secondly, these features also enabled a prediction of DBS parameters, which showed correlations of up to approximately r = 0.8 with clinically optimal DBS settings and were associated with congruent volumes of tissue activated. CONCLUSION Movement recordings from customer-grade mobile IMU carrying devices are promising candidates, not only for remote symptom assessment but also for closed-loop DBS parameter adjustment, and could thus extend the list of available aids for effective programming beyond imaging techniques.
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Affiliation(s)
- Urs Kleinholdermann
- Department of Neurology, University Hospital of Marburg and Gießen, Baldingerstraße, Marburg, Germany
| | - Bugrahan Bacara
- Department of Neurology, University Hospital of Marburg and Gießen, Baldingerstraße, Marburg, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital of Marburg and Gießen, Baldingerstraße, Marburg, Germany; Center of Mind, Brain and Behaviour, Philipps University Marburg, Hans-Meerwein-Straße, Marburg, Germany
| | - David J Pedrosa
- Department of Neurology, University Hospital of Marburg and Gießen, Baldingerstraße, Marburg, Germany; Center of Mind, Brain and Behaviour, Philipps University Marburg, Hans-Meerwein-Straße, Marburg, Germany.
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15
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David FJ, Rivera YM, Entezar TK, Arora R, Drane QH, Munoz MJ, Rosenow JM, Sani SB, Pal GD, Verhagen-Metman L, Corcos DM. Encoding type, medication, and deep brain stimulation differentially affect memory-guided sequential reaching movements in Parkinson's disease. Front Neurol 2022; 13:980935. [PMID: 36324383 PMCID: PMC9618698 DOI: 10.3389/fneur.2022.980935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Memory-guided movements, vital to daily activities, are especially impaired in Parkinson's disease (PD). However, studies examining the effects of how information is encoded in memory and the effects of common treatments of PD, such as medication and subthalamic nucleus deep brain stimulation (STN-DBS), on memory-guided movements are uncommon and their findings are equivocal. We designed two memory-guided sequential reaching tasks, peripheral-vision or proprioception encoded, to investigate the effects of encoding type (peripheral-vision vs. proprioception), medication (on- vs. off-), STN-DBS (on- vs. off-, while off-medication), and compared STN-DBS vs. medication on reaching amplitude, error, and velocity. We collected data from 16 (analyzed n = 7) participants with PD, pre- and post-STN-DBS surgery, and 17 (analyzed n = 14) healthy controls. We had four important findings. First, encoding type differentially affected reaching performance: peripheral-vision reaches were faster and more accurate. Also, encoding type differentially affected reaching deficits in PD compared to healthy controls: peripheral-vision reaches manifested larger deficits in amplitude. Second, the effect of medication depended on encoding type: medication had no effect on amplitude, but reduced error for both encoding types, and increased velocity only during peripheral-vision encoding. Third, the effect of STN-DBS depended on encoding type: STN-DBS increased amplitude for both encoding types, increased error during proprioception encoding, and increased velocity for both encoding types. Fourth, STN-DBS was superior to medication with respect to increasing amplitude and velocity, whereas medication was superior to STN-DBS with respect to reducing error. We discuss our findings in the context of the previous literature and consider mechanisms for the differential effects of medication and STN-DBS.
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Affiliation(s)
- Fabian J. David
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Yessenia M. Rivera
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Tara K. Entezar
- School of Integrative Biology, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, United States
| | - Rishabh Arora
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Quentin H. Drane
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Miranda J. Munoz
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Joshua M. Rosenow
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sepehr B. Sani
- Department of Neurosurgery, Rush University Medical Center, Chicago, IL, United States
| | - Gian D. Pal
- Department of Neurology, Rutgers University, New Brunswick, NJ, United States
| | - Leonard Verhagen-Metman
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Daniel M. Corcos
- Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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Somma T, Esposito F, Scala MR, Scelzo A, Baiano C, Patti S, Meglio V, Iasevoli F, Cavallo LM, Solari D, De Bartolomeis A, Cappabianca P, D’Urso G. Psychiatric Symptoms in Parkinson's Disease Patients before and One Year after Subthalamic Nucleus Deep Brain Stimulation Therapy: Role of Lead Positioning and Not of Total Electrical Energy Delivered. J Pers Med 2022; 12:jpm12101643. [PMID: 36294782 PMCID: PMC9605574 DOI: 10.3390/jpm12101643] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022] Open
Abstract
Parkinson’s disease (PD) patients may experience neuropsychiatric symptoms, including depression, anxiety, sleep disturbances, psychosis, as well as behavioral and cognitive symptoms during all the different stages of the illness. Deep Brain Stimulation (DBS) therapy has proven to be successful in controlling the motor symptoms of PD and its possible correlation with the occurrence or worsening of neuropsychiatric symptoms has been reported. We aimed to assess the neuropsychiatric symptoms of 14 PD patients before and after one year of Subthalamic Nucleus (STN)-DBS and to correlate the possible changes to the lead placement and to the total electrical energy delivered. We assessed PD motor symptoms, depression, anxiety, apathy, impulsivity, and suicidality using clinician- and/or self-administered rating scales and correlated the results to the lead position using the Medtronic SuretuneTM software and to the total electrical energy delivered (TEED). At the 12-month follow-up, the patients showed a significant improvement in PD symptoms on the UPDRS (Unified Parkinson’s disease Rating Scale) (−38.5%; p < 0.001) and in anxiety on the Hamilton Anxiety Rating Scale (HAM-A) (−29%; p = 0.041), with the most significant reduction in the physiological anxiety subscore (−36.26%; p < 0.001). A mild worsening of impulsivity was detected on the Barratt Impulsiveness Scale (BIS-11) (+9%; p = 0.048), with the greatest increase in the attentional impulsiveness subscore (+13.60%; p = 0.050). No statistically significant differences were found for the other scales. No correlation was found between TEED and scales’ scores, while the positioning of the stimulating electrodes in the different portions of the STN was shown to considerably influence the outcome, with more anterior and/or medial lead position negatively influencing psychiatric symptoms.
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Affiliation(s)
- Teresa Somma
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Felice Esposito
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
- Department of NeuroSciences and Reproductive and Odontostomatological Sciences, Division of NeuroSurgery, Federico II University of Naples, 80131 Naples, Italy
- Neurosurgery Unit, Federico II Medical Center, 80131 Naples, Italy
- Correspondence: ; Tel.: +39-081-746 (ext. 2489)
| | - Maria Rosaria Scala
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Antonio Scelzo
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of Psychiatry, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Cinzia Baiano
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Sara Patti
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of Psychiatry, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Vincenzo Meglio
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Felice Iasevoli
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of Psychiatry, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Luigi M. Cavallo
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Domenico Solari
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Andrea De Bartolomeis
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of Psychiatry, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Paolo Cappabianca
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of NeuroSurgery, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
| | - Giordano D’Urso
- Department of NeuroSciences and Reproductive and Dental Sciences, Division of Psychiatry, Università degli Studi di Napoli Federico II, 80131 Naples, Italy
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Rahimi Sardo F, Rayegani A, Matin Nazar A, Balaghiinaloo M, Saberian M, Mohsan SAH, Alsharif MH, Cho HS. Recent Progress of Triboelectric Nanogenerators for Biomedical Sensors: From Design to Application. BIOSENSORS 2022; 12:bios12090697. [PMID: 36140082 PMCID: PMC9496147 DOI: 10.3390/bios12090697] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/14/2022] [Accepted: 08/22/2022] [Indexed: 12/22/2022]
Abstract
Triboelectric nanogenerators (TENG) have gained prominence in recent years, and their structural design is crucial for improvement of energy harvesting performance and sensing. Wearable biosensors can receive information about human health without the need for external charging, with energy instead provided by collection and storage modules that can be integrated into the biosensors. However, the failure to design suitable components for sensing remains a significant challenge associated with biomedical sensors. Therefore, design of TENG structures based on the human body is a considerable challenge, as biomedical sensors, such as implantable and wearable self-powered sensors, have recently advanced. Following a brief introduction of the fundamentals of triboelectric nanogenerators, we describe implantable and wearable self-powered sensors powered by triboelectric nanogenerators. Moreover, we examine the constraints limiting the practical uses of self-powered devices.
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Affiliation(s)
- Fatemeh Rahimi Sardo
- Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman 7616913439, Iran
| | - Arash Rayegani
- Department of Civil Engineering, Sharif University of Technology, Azadi Ave, Tehran 1458889694, Iran
| | | | | | | | | | - Mohammed H. Alsharif
- Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea
| | - Ho-Shin Cho
- School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
- Correspondence:
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18
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Design and Application of Automated Algorithms for Diagnosis and Treatment Optimization in Neurodegenerative Diseases. Neuroinformatics 2022; 20:765-775. [PMID: 35262881 DOI: 10.1007/s12021-022-09578-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2022] [Indexed: 12/31/2022]
Abstract
Neurodegenerative diseases represent a growing healthcare problem, mainly related to an aging population worldwide and thus their increasing prevalence. In particular, Alzheimer's disease (AD) and Parkinson's disease (PD) are leading neurodegenerative diseases. To aid their diagnosis and optimize treatment, we have developed a classification algorithm for AD to manipulate magnetic resonance images (MRI) stored in a large database of patients, containing 1,200 images. The algorithm can predict whether a patient is healthy, has mild cognitive impairment, or already has AD. We then applied this classification algorithm to therapeutic outcomes in PD after treatment with deep brain stimulation (DBS), to assess which stereotactic variables were the most important to consider when performing surgery in this indication. Here, we describe the stereotactic system used for DBS procedures, and compare different planning methods with the gold standard normally used (i.e., neurophysiological coordinates recorded intraoperatively). We used information collected from database of 72 DBS electrodes implanted in PD patients, and assessed the potentially most beneficial ranges of deviation within planning and neurophysiological coordinates from the operating room, to provide neurosurgeons with additional landmarks that may help to optimize outcomes: we observed that x coordinate deviation within CT scan and gold standard intra-operative neurophysiological coordinates is a robust matric to pre-assess positive therapy outcomes- "good therapy" prediction if deviation is higher than 2.5 mm. When being less than 2.5 mm, adding directly calculated variables deviation (on Y and Z axis) would lead to specific assessment of "very good therapy".
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Fernández-García C, Monje MH, Gómez-Mayordomo V, Foffani G, Herranz R, Catalán MJ, González-Hidalgo M, Matias-Guiu J, Alonso-Frech F. Long-term directional deep brain stimulation: Monopolar review vs. local field potential guided programming. Brain Stimul 2022; 15:727-736. [DOI: 10.1016/j.brs.2022.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 01/16/2022] [Accepted: 04/20/2022] [Indexed: 11/02/2022] Open
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20
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Frey J, Cagle J, Johnson KA, Wong JK, Hilliard JD, Butson CR, Okun MS, de Hemptinne C. Past, Present, and Future of Deep Brain Stimulation: Hardware, Software, Imaging, Physiology and Novel Approaches. Front Neurol 2022; 13:825178. [PMID: 35356461 PMCID: PMC8959612 DOI: 10.3389/fneur.2022.825178] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/04/2022] [Indexed: 11/13/2022] Open
Abstract
Deep brain stimulation (DBS) has advanced treatment options for a variety of neurologic and neuropsychiatric conditions. As the technology for DBS continues to progress, treatment efficacy will continue to improve and disease indications will expand. Hardware advances such as longer-lasting batteries will reduce the frequency of battery replacement and segmented leads will facilitate improvements in the effectiveness of stimulation and have the potential to minimize stimulation side effects. Targeting advances such as specialized imaging sequences and “connectomics” will facilitate improved accuracy for lead positioning and trajectory planning. Software advances such as closed-loop stimulation and remote programming will enable DBS to be a more personalized and accessible technology. The future of DBS continues to be promising and holds the potential to further improve quality of life. In this review we will address the past, present and future of DBS.
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Affiliation(s)
- Jessica Frey
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Jackson Cagle
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Kara A. Johnson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Joshua K. Wong
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Justin D. Hilliard
- Department of Neurosurgery, University of Florida, Gainesville, FL, United States
| | - Christopher R. Butson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, University of Florida, Gainesville, FL, United States
| | - Michael S. Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Coralie de Hemptinne
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
- *Correspondence: Coralie de Hemptinne
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21
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Tiruvadi V, Choi KS, Gross RE, Butera R, Jirsa V, Mayberg H. Dynamic Oscillations Evoked by Subcallosal Cingulate Deep Brain Stimulation. Front Neurosci 2022; 16:768355. [PMID: 35281513 PMCID: PMC8905359 DOI: 10.3389/fnins.2022.768355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
Abstract
Deep brain stimulation (DBS) of subcallosal cingulate white matter (SCCwm) alleviates symptoms of depression, but its mechanistic effects on brain dynamics remain unclear. In this study we used novel intracranial recordings (LFP) in n = 6 depressed patients stimulated with DBS around the SCCwm target, observing a novel dynamic oscillation (DOs). We confirm that DOs in the LFP are of neural origin and consistently evoked within certain patients. We then characterize the frequency and dynamics of DOs, observing significant variability in DO behavior across patients. Under the hypothesis that LFP-DOs reflect network engagement, we characterize the white matter tracts associated with LFP-DO observations and report a preliminary observation of DO-like activity measured in a single patient's electroencephalography (dEEG). These results support further study of DOs as an objective signal for mechanistic study and connectomics guided DBS.
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Affiliation(s)
- Vineet Tiruvadi
- Emory School of Medicine, Emory University, Atlanta, GA, United States
- Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA, United States
- School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA, United States
| | - Ki Sueng Choi
- Icahn School of Medicine, Mount Sinai, New York, NY, United States
| | - Robert E. Gross
- Emory School of Medicine, Emory University, Atlanta, GA, United States
- Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA, United States
| | - Robert Butera
- Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA, United States
- School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA, United States
| | - Viktor Jirsa
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
| | - Helen Mayberg
- Icahn School of Medicine, Mount Sinai, New York, NY, United States
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22
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Bjerknes S, Toft M, Brandt R, Rygvold TW, Konglund A, Dietrichs E, Andersson S, Skogseid IM. Subthalamic Nucleus Stimulation in Parkinson's Disease: 5-Year Extension Study of a Randomized Trial. Mov Disord Clin Pract 2022; 9:48-59. [PMID: 35005065 PMCID: PMC8721829 DOI: 10.1002/mdc3.13348] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/24/2021] [Accepted: 09/05/2021] [Indexed: 12/31/2022] Open
Abstract
Background In Parkinson's disease (PD) long-term motor outcomes of subthalamic nucleus deep brain stimulation (STN-DBS) are well documented, while comprehensive reports on non-motor outcomes are fewer and less consistent. Objective To report motor and non-motor symptoms after 5-years of STN-DBS. Methods We performed an open 5-year extension study of a randomized trial that compared intraoperative verification versus mapping of STN using microelectrode recordings. Changes from preoperative to 5-years of STN-DBS were evaluated for motor and non-motor symptoms (MDS-UPDRS I-IV), sleep disturbances (PDSS), autonomic symptoms (Scopa-Aut), quality of life (PDQ-39) and cognition through a neuropsychological test battery. We evaluated whether any differences between the two randomization groups were still present, and assessed preoperative predictors of physical dependence after 5 years of treatment using logistic regression. Results We found lasting improvement of off-medication motor symptoms (total MDS-UPDRS III, bradykinetic-rigid symptoms and tremor), on-medication tremor, motor fluctuations, and sleep disturbances, but reduced performance across all cognitive domains, except verbal memory. Reduction of verbal fluency and executive function was most pronounced the first year and may thus be more directly related to the surgery than worsening in other domains. The group mapped with multiple microelectrode recordings had more improvement of bradykinetic-rigid symptoms and of PDQ-39 bodily discomfort sub-score, but also more reduction in word fluency. Older age was the most important factor associated with physical dependence after 5 years. Conclusion STN-DBS offers good long-term effects, including improved sleep, despite disease progression. STN-DBS surgery may negatively impact verbal fluency and executive function.
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Affiliation(s)
- Silje Bjerknes
- Department of Neurology Oslo University Hospital Oslo Norway.,Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Mathias Toft
- Department of Neurology Oslo University Hospital Oslo Norway.,Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Reidun Brandt
- Department of Psychology University of Oslo Oslo Norway
| | | | - Ane Konglund
- Department of Neurosurgery Oslo University Hospital Oslo Norway
| | - Espen Dietrichs
- Department of Neurology Oslo University Hospital Oslo Norway.,Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Stein Andersson
- Department of Psychology University of Oslo Oslo Norway.,Department of Psychosomatic and CL Psychiatry Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
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23
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Mishra A, Ramdhani RA. Directional Deep Brain Stimulation in the Treatment of Parkinson's Disease. Neurology 2022. [DOI: 10.17925/usn.2022.18.1.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Deep brain stimulation (DBS) is a treatment modality that has been shown to improve the clinical outcomes of individuals with movement disorders, including Parkinson's disease. Directional DBS represents an advance in the field that allows clinicians to better modulate the electrical stimulation to increase therapeutic gains while minimizing side effects. In this review, we summarize the principles of directional DBS, including available technologies and stimulation paradigms, and examine the growing clinical study data with respect to its use in Parkinson's disease.
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Antonini A, Pahwa R, Odin P, Isaacson SH, Merola A, Wang L, Kandukuri PL, Alobaidi A, Yan CH, Bao Y, Zadikoff C, Parra JC, Bergmann L, Chaudhuri KR. Comparative Effectiveness of Device-Aided Therapies on Quality of Life and Off-Time in Advanced Parkinson's Disease: A Systematic Review and Bayesian Network Meta-analysis. CNS Drugs 2022; 36:1269-1283. [PMID: 36414908 PMCID: PMC9712309 DOI: 10.1007/s40263-022-00963-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Research comparing levodopa/carbidopa intestinal gel (LCIG), deep brain stimulation (DBS), and continuous subcutaneous apomorphine infusion (CSAI) for advanced Parkinson's disease (PD) is lacking. This network meta-analysis (NMA) assessed the comparative effectiveness of LCIG, DBS, CSAI and best medical therapy (BMT) in reducing off-time and improving quality of life (QoL) in patients with advanced PD. METHODS A systematic literature review was conducted for randomized controlled trials (RCTs), observational and interventional studies from January 2003 to September 2019. Data extracted at baseline and 6 months were off-time, as reported by diary or Unified Parkinson's Disease Rating Scale Part IV item 39, and QoL, as reported by Parkinson's Disease Questionnaire (PDQ-39/PDQ-8). Bayesian NMA was performed to estimate pooled treatment effect sizes and to rank treatments in order of effectiveness. RESULTS A total of 22 studies fulfilled the inclusion criteria (n = 2063 patients): four RCTs, and 16 single-armed, one 2-armed and one 3-armed prospective studies. Baseline mean age was between 55.5-70.9 years, duration of PD was 9.1-15.3 years, off-time ranged from 5.4 to 8.7 h/day in 9 studies, and PDQ scores ranged from 28.8 to 67.0 in 19 studies. Levodopa/carbidopa intestinal gel and DBS demonstrated significantly greater improvement in off-time and QoL at 6 months compared with CSAI and BMT (p < 0.05). There was no significant difference in the effects of LCIG and DBS, but DBS was ranked first for reduction in off-time, and LCIG was ranked first for improvement in QoL. CONCLUSIONS This NMA found that LCIG and DBS were associated with superior improvement in off-time and PD-related QoL compared with CSAI and BMT at 6 months after treatment initiation. This comparative effectiveness research may assist providers, patients, and caregivers in the selection of the optimal device-aided therapy.
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Affiliation(s)
- Angelo Antonini
- Parkinson and Movement Disorders Unit, Department of Neuroscience, Study Center for Neurodegeneration (CESNE), University of Padova, 35128, Padua, Italy.
| | - Rajesh Pahwa
- Medical Center, University of Kansas, Kansas City, KS USA
| | - Per Odin
- University of Lund, Lund, Sweden
| | | | - Aristide Merola
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH USA
| | - Lin Wang
- AbbVie Inc., North Chicago, IL USA ,Johns Hopkins School of Public Health, Baltimore, MD USA
| | | | - Ali Alobaidi
- AbbVie Inc., North Chicago, IL USA ,University of Illinois at Chicago, Chicago, IL USA
| | - Connie H. Yan
- AbbVie Inc., North Chicago, IL USA ,University of Illinois at Chicago, Chicago, IL USA
| | | | | | | | | | - K. Ray Chaudhuri
- King’s College and Parkinson Foundation Centre of Excellence, Kings College Hospital London, London, UK
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25
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Lin W, Shi D, Wang D, Yang L, Wang Y, Jin L. Can Levodopa Challenge Testing Predict the Effect of Deep Brain Stimulation? One-Year Outcomes in a Chinese Cohort. Front Aging Neurosci 2021; 13:764308. [PMID: 34744699 PMCID: PMC8564390 DOI: 10.3389/fnagi.2021.764308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 09/13/2021] [Indexed: 11/23/2022] Open
Abstract
Objective: Our study examined whether levodopa challenge test (LCT) results could predict quality of life (QoL) outcomes after surgery to implant subthalamic nucleus deep brain stimulation (STN-DBS) electrodes to treat advanced Parkinson’s disease (PD). Methods: Forty patients with STN-DBS underwent a follow-up 1 year after implantation surgery to analyze the correlation between preoperative levodopa impact test results and postoperative Unified Parkinson’s Disease Rating Scale (UPDRS) III motor score, postoperative PD Questionnaire-39 (PDQ-39) score, and PDQ-39 improvement. Results: Improvements in QoL were associated with several preoperative characteristics including preoperative UPDRS-III tremor, UPDRS-III tremor (off-60) (p = 0.049), UPDRS-III tremor (off-120) (p = 0.012), Mini-Mental State Examination (p = 0.012), and PDQ-39 (p = 0.012) before surgery. Multiple linear regression model using preoperative MMSE [odds ratio (OR) = 0.342, 95% confidence interval (CI) = 0.051–2.297], preoperative UPDRS-III tremor (OR = 2.099, 95% CI = 0.585–7.535), UPDRS-III tremor (off-60) [OR = 1.316, 95% CI = 0.804–2.154, UPDRS-III tremor (off-120) OR = 0.913, 95% CI = 0.691–1.207], correctly classified 88.5% of patients. Conclusion: Levodopa challenge test results cannot predict the effect of DBS. However, the test can be incorporated into a regression prediction model to the quality of life of PD patients after DBS with other preoperative factors.
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Affiliation(s)
- Wei Lin
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.,Department of Neurosurgery, Joint Logistics Support Unit No. 904 Hospital, School of Medicine, Anhui Medical University, Wuxi, China
| | - Dongliang Shi
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dan Wang
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Likun Yang
- Department of Neurosurgery, Joint Logistics Support Unit No. 904 Hospital, School of Medicine, Anhui Medical University, Wuxi, China
| | - Yuhai Wang
- Department of Neurosurgery, Joint Logistics Support Unit No. 904 Hospital, School of Medicine, Anhui Medical University, Wuxi, China
| | - Lingjing Jin
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.,Neurorehabilitation Center, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China
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26
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Asriyants SV, Tomskiy AA, Gamaleya AA, Pronin IN. [Deep brain stimulation of the subthalamic nucleus for parkinson's disease: awake vs asleep]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2021; 85:117-121. [PMID: 34714012 DOI: 10.17116/neiro202185051117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is known to be an effective and safe neurosurgical procedure for Parkinson's disease (PD). Traditionally, awake implantation of stimulation system is carried out using microelectrode registration and intraoperative stimulation. Development of neuroimaging technologies enables direct STN imaging. Therefore, asleep surgery without additional intraoperative verification is possible. This approach reduces surgery time and can potentially decrease the incidence of hemorrhagic and infectious complications. The advantages of one method or another are being discussed. OBJECTIVE To assess the benefits and limitations of various methods for DBS system implantation for bilateral STN stimulation, to study the issues of stereotaxic accuracy, efficiency and safety of asleep and awake electrode implantation into STN. MATERIAL AND METHODS We reviewed the articles published in the PubMed database. Searching algorithm included the following keywords: «asleep DBS», «Parkinson's disease», «subthalamic nucleus», «3T MRI», «SWI», «SWAN». RESULTS There were 31 articles devoted to asleep DBS of STN including 4 meta-analyses, 3 prospective controlled studies, 13 retrospective controlled studies and 11 studies without a control group. CONCLUSION Asleep implantation of electrodes for DBS of STN can be performed only after a clear imaging of STN boundaries with high-quality MRI.
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Affiliation(s)
| | - A A Tomskiy
- Burdenko Neurosurgical Center, Moscow, Russia
| | | | - I N Pronin
- Burdenko Neurosurgical Center, Moscow, Russia
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27
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Masuda H, Shirozu H, Ito Y, Fukuda M, Fujii Y. Surgical Strategy for Directional Deep Brain Stimulation. Neurol Med Chir (Tokyo) 2021; 62:1-12. [PMID: 34719582 PMCID: PMC8754682 DOI: 10.2176/nmc.ra.2021-0214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Deep brain stimulation (DBS) is a well-established treatment for drug-resistant involuntary movements. However, the conventional quadripole cylindrical lead creates electrical fields in all directions, and the resulting spread to adjacent eloquent structures may induce unintended effects. Novel directional leads have therefore been designed to allow directional stimulation (DS). Directional leads have the advantage of widening the therapeutic window (TW), compensating for slight misplacement of the lead and requiring less electrical power to provide the same effect as a cylindrical lead. Conversely, the increase in the number of contacts from four to eight and the addition of directional elements has made stimulation programming more complex. For these reasons, new treatment strategies are required to allow effective directional DBS. During lead implantation, the directional segment should be placed in a "sweet spot," and the orientation of the directional segment is important for programming. Trial-and-error testing of a large number of contacts is unnecessary, and efficient and systematic execution of the programmed procedure is desirable. Recent improvements in imaging technologies have enabled image-guided programming. In the future, optimal stimulations are expected to be programmed by directional recording of local field potentials.
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Affiliation(s)
- Hiroshi Masuda
- Division of Functional Neurosurgery, Nishiniigata National Hospital
| | - Hiroshi Shirozu
- Division of Functional Neurosurgery, Nishiniigata National Hospital
| | - Yosuke Ito
- Division of Functional Neurosurgery, Nishiniigata National Hospital
| | - Masafumi Fukuda
- Division of Functional Neurosurgery, Nishiniigata National Hospital
| | - Yukihiko Fujii
- Department of Neurosurgery, Brain Research Institute, Niigata University
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28
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Lachenmayer ML, Mürset M, Antih N, Debove I, Muellner J, Bompart M, Schlaeppi JA, Nowacki A, You H, Michelis JP, Dransart A, Pollo C, Deuschl G, Krack P. Subthalamic and pallidal deep brain stimulation for Parkinson's disease-meta-analysis of outcomes. NPJ PARKINSONS DISEASE 2021; 7:77. [PMID: 34489472 PMCID: PMC8421387 DOI: 10.1038/s41531-021-00223-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 08/12/2021] [Indexed: 12/26/2022]
Abstract
Although deep brain stimulation (DBS) of the globus pallidus internus (GPi) and the subthalamic nucleus (STN) has become an established treatment for Parkinson’s disease (PD), a recent meta-analysis of outcomes is lacking. To address this gap, we performed a meta-analysis of bilateral STN- and GPi-DBS studies published from 1990-08/2019. Studies with ≥10 subjects reporting Unified Parkinson’s Disease Rating Scale (UPDRS) III motor scores at baseline and 6–12 months follow-up were included. Several outcome variables were analyzed and adverse events (AE) were summarized. 39 STN studies (2035 subjects) and 5 GPi studies (292 subjects) were eligible. UPDRS-II score after surgery in the stimulation-ON/medication-OFF state compared to preoperative medication-OFF state improved by 47% with STN-DBS and 18.5% with GPi-DBS. UPDRS-III score improved by 50.5% with STN-DBS and 29.8% with GPi-DBS. STN-DBS improved dyskinesia by 64%, daily OFF time by 69.1%, and quality of life measured by PDQ-39 by 22.2%, while Levodopa Equivalent Daily Dose (LEDD) was reduced by 50.0%. For GPi-DBS information regarding dyskinesia, OFF time, PDQ-39 and LEDD was insufficient for further analysis. Correlation analysis showed that preoperative L-dopa responsiveness was highly predictive of the STN-DBS motor outcome across all studies. Most common surgery-related AE were infection (5.1%) and intracranial hemorrhage (3.1%). Despite a series of technological advances, outcomes of modern surgery are still comparable with those of the early days of DBS. Recent changes in target selection with a preference of GPi in elderly patients with cognitive deficits and more psychiatric comorbidities require more published data for validation.
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Affiliation(s)
- M Lenard Lachenmayer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
| | - Melina Mürset
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Ines Debove
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Julia Muellner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Janine-Ai Schlaeppi
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas Nowacki
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Hana You
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Joan P Michelis
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Claudio Pollo
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Guenther Deuschl
- Department of Neurology, UKSH, Christian-Albrechts-University, Kiel, Germany
| | - Paul Krack
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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29
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Patel B, Chiu S, Wong JK, Patterson A, Deeb W, Burns M, Zeilman P, Wagle-Shukla A, Almeida L, Okun MS, Ramirez-Zamora A. Deep brain stimulation programming strategies: segmented leads, independent current sources, and future technology. Expert Rev Med Devices 2021; 18:875-891. [PMID: 34329566 DOI: 10.1080/17434440.2021.1962286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Advances in neuromodulation and deep brain stimulation (DBS) technologies have facilitated opportunities for improved clinical benefit and side effect management. However, new technologies have added complexity to clinic-based DBS programming.Areas covered: In this article, we review basic basal ganglia physiology, proposed mechanisms of action and technical aspects of DBS. We discuss novel DBS technologies for movement disorders including the role of advanced imaging software, lead design, IPG design, novel programming techniques including directional stimulation and coordinated reset neuromodulation. Additional topics include the use of potential biomarkers, such as local field potentials, electrocorticography, and adaptive stimulation. We will also discuss future directions including optogenetically inspired DBS.Expert opinion: The introduction of DBS for the management of movement disorders has expanded treatment options. In parallel with our improved understanding of brain physiology and neuroanatomy, new technologies have emerged to address challenges associated with neuromodulation, including variable effectiveness, side-effects, and programming complexity. Advanced functional neuroanatomy, improved imaging, real-time neurophysiology, improved electrode designs, and novel programming techniques have collectively been driving improvements in DBS outcomes.
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Affiliation(s)
- Bhavana Patel
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Shannon Chiu
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Joshua K Wong
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Addie Patterson
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Wissam Deeb
- Department of Neurology, University of Massachusetts College of Medicine, Worcester, MA, USA
| | - Matthew Burns
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Pamela Zeilman
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Aparna Wagle-Shukla
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Leonardo Almeida
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
| | - Adolfo Ramirez-Zamora
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, . Gainesville, FL, USA
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30
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Bilateral Subthalamic Nucleus Deep Brain Stimulation Improves Gastric Emptying Time in Parkinson Disease. World Neurosurg 2021; 154:e683-e688. [PMID: 34343688 DOI: 10.1016/j.wneu.2021.07.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 07/23/2021] [Accepted: 07/24/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND It is well-established that deep brain stimulation (DBS) can improve motor function in those with Parkinson disease (PD); however, its effects on gastrointestinal disorders remain unclear. METHODS From January 2019 to December 2020, 26 patients with PD who had undergone subthalamic nucleus (STN) DBS were included in our study. The evaluated items included the pre- and postoperative dose of levodopa, Unified Parkinson's Disease Rating Scale, part III, scores with and without medication and stimulation, and gastric emptying time (expressed as the peak time of carbon-13C dioxide excretion in the 13C-acetate breath test). Sex-, age-, and body weight-matched controls were recruited to test the gastric emptying time in healthy individuals. RESULTS All the patients benefited from DBS. The Unified Parkinson's Disease Rating Scale, part III, scores had decreased from 48.5 ± 13.77 to 25.23 ± 8.59 without medication and 31.23 ± 11.4 to 13.92 ± 5.27 with medication. The levodopa equivalent dose had decreased from 1009.8 ± 291 mg to 707.65 ± 193.79 mg. The gastric emptying time was significantly prolonged in the patients with PD before DBS compared with the healthy control group (29.23 ± 6.58 minutes) and had improved to 35.19 ± 10.14 minutes with medication and 38.07 ± 11.17 minutes without medication after 3 months of STN stimulation. At 6 months postoperatively, the gastric emptying time was 32.3 ± 10.02 minutes without medication and 33.84 ± 10.79 minutes with medication. CONCLUSIONS A delayed gastric emptying time is associated with greater PD severity. Antiparkinsonian medications did not affect gastric emptying in patients with PD. STN DBS can improve both movement function and gastrointestinal motility in patients with PD in the long term. The exact mechanism by which DBS improves gastric emptying requires further exploration.
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How accurately are subthalamic nucleus electrodes implanted relative to the ideal stimulation location for Parkinson's disease? PLoS One 2021; 16:e0254504. [PMID: 34264988 PMCID: PMC8282046 DOI: 10.1371/journal.pone.0254504] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 06/27/2021] [Indexed: 11/19/2022] Open
Abstract
Introduction The efficacy of subthalamic nucleus (STN) deep brain stimulation (DBS) in Parkinson’s disease (PD) depends on how closely electrodes are implanted relative to an individual’s ideal stimulation location. Yet, previous studies have assessed how closely electrodes are implanted relative to the planned location, after homogenizing data to a reference. Thus here, we measured how accurately electrodes are implanted relative to an ideal, dorsal STN stimulation location, assessed on each individual’s native imaging. This measure captures not only the technical error of stereotactic implantation but also constraints imposed by planning a suitable trajectory. Methods This cross-sectional study assessed 226 electrodes in 113 consecutive PD patients implanted with bilateral STN-DBS by experienced clinicians utilizing awake, microelectrode guided, surgery. The error (Euclidean distance) between the actual electrode trajectory versus a nominated ideal, dorsal STN stimulation location was determined in each hemisphere on native imaging and predictive factors sought. Results The median electrode location error was 1.62 mm (IQR = 1.23 mm). This error exceeded 3 mm in 28/226 electrodes (12.4%). Location error did not differ between hemispheres implanted first or second, suggesting brain shift was minimised. Location error did not differ between electrodes positioned with (48/226), or without, a preceding microelectrode trajectory shift (suggesting such shifts were beneficial). There was no relationship between location error and case order, arguing against a learning effect. Discussion/Conclusion The proximity of STN-DBS electrodes to a nominated ideal, dorsal STN, stimulation location is highly variable, even when implanted by experienced clinicians with brain shift minimized, and without evidence of a learning effect. Using this measure, we found that assessments on awake patients (microelectrode recordings and clinical examination) likely yielded beneficial intraoperative decisions to improve positioning. In many patients the error is likely to have reduced therapeutic efficacy. More accurate methods to implant STN-DBS electrodes relative to the ideal stimulation location are needed.
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Gelpi E, Haberler C, Micko A, Polt A, Amon A, Rössler K, Alesch F. Focal Subthalamic Atrophy after Long-Term Deep Brain Stimulation in Parkinson's Disease. Mov Disord 2021; 36:1987-1989. [PMID: 34117787 PMCID: PMC8453839 DOI: 10.1002/mds.28653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 05/02/2021] [Indexed: 11/10/2022] Open
Affiliation(s)
- Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Alexander Micko
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Andrea Polt
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Andreas Amon
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Karl Rössler
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - François Alesch
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
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Feldmann LK, Neumann WJ, Faust K, Schneider GH, Kühn AA. Risk of Infection after Deep Brain Stimulation Surgery with Externalization and Local-Field Potential Recordings: Twelve-Year Experience from a Single Institution. Stereotact Funct Neurosurg 2021; 99:512-520. [PMID: 33971662 DOI: 10.1159/000516150] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 03/16/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Deep brain stimulation (DBS) has been an established surgical procedure in the field of functional neurosurgery for many years. The experimental electrophysiological method of local field potential (LFP) recordings in postsurgically externalized patients has made substantial contributions to the better understanding of pathophysiologies underlying movement disorders. As interest in LFP recordings for the development of improved stimulation strategies increases, this study's aim was to provide evidence concerning safety of this research method, in a major DBS center. METHODS We retrospectively analyzed incidence and infection characteristics in adult patients who underwent two-staged DBS surgery with temporary externalization of leads in our center between January 2008 and November 2019. We focused on whether patients had participated in LFP recordings, and evaluated incidence of infections at 3 months and 1 year after the surgery based on medical records. Infection rates were compared to major DBS studies and reports focusing on the risk of infection due to externalization of DBS leads. Results were visualized using descriptive statistics. RESULTS Between January 2008 and November 2019, DBS surgery was performed in 528 patients (389/139 patients in the LFP/non-LFP group), mainly for movement disorders such as Parkinson's disease (308), dystonia (93), and essential tremor (86). Of the patients, 72.9% participated in LFP recordings. The incidence of infections in the acute postsurgical phase (3 months) was 2.46% and did not differ significantly between the LFP group (1.8%) and the non-LFP group (4.32%). The overall incidence after 1 year amounted to 3.6% (19 patients) with no difference between LFP/non-LFP groups. Incidence rates reported in the literature show a large variety (2.6-10%), and the incidence reported here is within the lower range of reported incidences. DISCUSSION/CONCLUSION This study demonstrates that DBS is a surgical procedure with a low risk of infection in a large patient cohort. Importantly, it shows that LFP recordings do not have a significant effect on the incidence of infections in patients with externalization. With a representative cohort of more than 380 patients participating in LFP-recordings, this underlines LFP as a safe method in research and supports further use of this method, for example, for the development of adaptive stimulation protocols.
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Affiliation(s)
- Lucia K Feldmann
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Wolf-Julian Neumann
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Katharina Faust
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Gerd-Helge Schneider
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin School of Mind and Brain, Charité University Medicine, Berlin, Germany.,NeuroCure Clinical Research Centre, Charité University Medicine, Berlin, Germany.,DZNE, German Center for Degenerative Diseases, Berlin, Germany
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Yin Z, Zhu G, Zhao B, Bai Y, Jiang Y, Neumann WJ, Kühn AA, Zhang J. Local field potentials in Parkinson's disease: A frequency-based review. Neurobiol Dis 2021; 155:105372. [PMID: 33932557 DOI: 10.1016/j.nbd.2021.105372] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/25/2021] [Accepted: 04/26/2021] [Indexed: 12/19/2022] Open
Abstract
Deep brain stimulation (DBS) surgery offers a unique opportunity to record local field potentials (LFPs), the electrophysiological population activity of neurons surrounding the depth electrode in the target area. With direct access to the subcortical activity, LFP research has provided valuable insight into disease mechanisms and cognitive processes and inspired the advent of adaptive DBS for Parkinson's disease (PD). A frequency-based framework is usually employed to interpret the implications of LFP signatures in LFP studies on PD. This approach standardizes the methodology, simplifies the interpretation of LFP patterns, and makes the results comparable across studies. Importantly, previous works have found that activity patterns do not represent disease-specific activity but rather symptom-specific or task-specific neuronal signatures that relate to the current motor, cognitive or emotional state of the patient and the underlying disease. In the present review, we aim to highlight distinguishing features of frequency-specific activities, mainly within the motor domain, recorded from DBS electrodes in patients with PD. Associations of the commonly reported frequency bands (delta, theta, alpha, beta, gamma, and high-frequency oscillations) to motor signs are discussed with respect to band-related phenomena such as individual tremor and high/low beta frequency activity, as well as dynamic transients of beta bursts. We provide an overview on how electrophysiology research in DBS patients has revealed and will continuously reveal new information about pathophysiology, symptoms, and behavior, e.g., when combining deep LFP and surface electrocorticography recordings.
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Affiliation(s)
- Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Yin Jiang
- Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charite´ Campus Mitte, Charite´ - University Medicine Berlin, Berlin, Germany
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charite´ Campus Mitte, Charite´ - University Medicine Berlin, Berlin, Germany; Berlin School of Mind and Brain, Charité - Universitätsmedizin Berlin, Unter den Linden 6, 10099 Berlin, Germany; NeuroCure, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China.
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Gavriliuc O, Paschen S, Andrusca A, Schlenstedt C, Deuschl G. Prediction of the effect of deep brain stimulation on gait freezing of Parkinson's disease. Parkinsonism Relat Disord 2021; 87:82-86. [PMID: 34015693 DOI: 10.1016/j.parkreldis.2021.04.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The response of freezing of gait (FOG) to deep brain stimulation of the subthalamic nucleus (STN-DBS) is controversial and depends on many poorly controlled factors. On the other hand, a clinical predictor for the individual patient is needed to counsel the patient regarding this symptom. METHODS A cohort of 124 patients undergoing STN-DBS was evaluated based on the video-documented Levodopa test at baseline in the OFF- and ON-drug condition and postoperatively in the best condition (ON-drug/ON-stim) and the worst condition (OFF-drug/ON-stim). We compared the freezing item of the Unified Parkinson's disease rating scale (#14), the UPDRS III total score, and FOG severity rated during four provoking situations with regard to its predictive value. RESULTS We found 'FOG during the turning task' to be the best predictor with an ROC-value of 0.857 compared to 0.603 for the UPDRS Item 14 and 0.583 for the total UPDRS III. An improvement of 1 or 2 grades of the turning item during the preoperative levodopa test predicts an improvement during the worst condition postoperatively of 1 grade or more with an 80% probability. CONCLUSION This FOG prediction test is simple and clinically useful. The test needs to be studied in a prospective study.
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Affiliation(s)
- Olga Gavriliuc
- Department of Neurology, UKSH, Kiel Campus; Christian-Albrechts-University, Kiel, Germany; Department of Neurology, State University of Medicine and Pharmacy Nicolae Testemitanu, Chisinau, Republic of Moldova
| | - Steffen Paschen
- Department of Neurology, UKSH, Kiel Campus; Christian-Albrechts-University, Kiel, Germany
| | - Alexandru Andrusca
- Department of Neurology, UKSH, Kiel Campus; Christian-Albrechts-University, Kiel, Germany; Department of Neurosurgery, Institute of Neurology and Neurosurgery "Diomid Gherman", Chisinau, Republic of Moldova
| | - Christian Schlenstedt
- Department of Neurology, UKSH, Kiel Campus; Christian-Albrechts-University, Kiel, Germany
| | - Günther Deuschl
- Department of Neurology, UKSH, Kiel Campus; Christian-Albrechts-University, Kiel, Germany.
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Closed-loop programming using external responses for deep brain stimulation in Parkinson's disease. Parkinsonism Relat Disord 2021; 84:47-51. [PMID: 33556765 DOI: 10.1016/j.parkreldis.2021.01.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Deep brain stimulation (DBS) is an established treatment for Parkinson's disease (PD). Clinicians face various challenges in adjusting stimulation parameters and configurations in clinical DBS settings owing to inexperience, time constraints, and recent advances in DBS technology that have expanded the number of possible contact configurations. We aimed to assess the efficacy of a closed-loop algorithm (CLA) for the DBS-programming method using external motion sensor-based motor assessments in patients with PD. METHODS In this randomized, double-blind, crossover study, we enrolled 12 patients who underwent eight-ring-contact DBS lead implantations bilaterally in the subthalamic nucleus. The DBS settings of the participants were programmed using a standard of care (SOC) and CLA method. The clinical effects of both programming methods were assessed in a randomized crossover fashion. The outcomes were evaluated using the Unified Parkinson's Disease Scale part III (UPDRS-III) and sensor-based scores for baseline (medication-off/stimulation-off) and both programming methods. The number of programming steps required for each programming method was also recorded. RESULTS The UPDRS-III scores and sensor-based scores were significantly improved by SOC and CLA settings compared to the baseline. No statistical difference was observed between SOC and CLA. The programming steps were significantly reduced in the CLA settings compared to those in the SOC. No serious adverse events were observed. CONCLUSION CLA can optimize DBS settings prospectively with similar therapeutic benefits as that of the SOC and reduce the number of programming steps. Automated optimization of DBS settings would reduce the burden of programming for both clinicians and patients.
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Baniasadi M, Proverbio D, Gonçalves J, Hertel F, Husch A. FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields. Neuroimage 2020; 223:117330. [DOI: 10.1016/j.neuroimage.2020.117330] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 05/26/2020] [Accepted: 08/25/2020] [Indexed: 01/25/2023] Open
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Juárez-Paz LM. In silico Accuracy and Energy Efficiency of Two Steering Paradigms in Directional Deep Brain Stimulation. Front Neurol 2020; 11:593798. [PMID: 33193061 PMCID: PMC7661934 DOI: 10.3389/fneur.2020.593798] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 09/30/2020] [Indexed: 01/11/2023] Open
Abstract
Background: In Deep Brain Stimulation (DBS), stimulation field steering is used to achieve stimulation spatial specificity, which is critical to obtain clinical benefits and avoid side effects. Multiple Independent Current Control (MICC) and Interleaving/Multi Stim Set (Interleaving/MSS) are two stimulation field steering paradigms in commercially available DBS systems. This work investigates the stimulation field steering accuracy and energy efficiency of these two paradigms in directional DBS. Methods: Volumes of Tissue Activated (VTAs) were generated in silico using pulse widths of 60 μs and five pulse amplitude fractionalizations intended to steer the VTAs radially in 12° steps. For each fractionalization, VTAs were generated with nine pre-defined target radii. Stimulation field steering accuracy was assessed based on the VTAs rotation angle. Energy efficiency was inferred from current draw from battery values, which were calculated based on the pulse amplitudes needed to generate and steer the VTAs, as well as electrode impedance measurements of clinically implanted directional leads. Results: For radial steering, MICC needed a single VTA. In contrast, Interleaving/MSS required the generation of two VTAs, whose union and intersection created an Interleaving/MSS VTA and an Intersection VTA, respectively. MICC VTAs were 6.8 (−3.2–11.8)% larger than Interleaving/MSS VTAs. The Intersection VTAs accounted for 26.2 (16.0–32.8)% of Interleaving/MSS VTAs and were exposed to a higher stimulation frequency. For all VTA radius-fractionalization combinations, steering accuracy was 7.0 (4.5–10.5)° for MICC and 24.0 (9.0–25.3)° for Interleaving/MSS. Pulse amplitudes were 16.1 (9.2–28.6)% lower for MICC than for Interleaving/MSS, leading to a 45.9 (18.8–72.6)% lower current draw from battery for MICC. Conclusions: The results of this work show that in silico, MICC achieves a significantly better stimulation field steering accuracy and has a significantly higher energy efficiency than Interleaving/MSS. Although direct evidence still needs to be generated to translate the results of this work to clinical practice, clinical outcomes may profit from the better stimulation field steering accuracy of MICC and longevity of DBS systems may profit from its higher energy efficiency.
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Affiliation(s)
- León Mauricio Juárez-Paz
- Neuromodulation Research and Advanced Concepts, Boston Scientific Corporation, Valencia, CA, United States
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Ge J, Wang M, Lin W, Wu P, Guan Y, Zhang H, Huang Z, Yang L, Zuo C, Jiang J, Rominger A, Shi K. Metabolic network as an objective biomarker in monitoring deep brain stimulation for Parkinson's disease: a longitudinal study. EJNMMI Res 2020; 10:131. [PMID: 33119814 PMCID: PMC7596139 DOI: 10.1186/s13550-020-00722-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 10/21/2020] [Indexed: 12/28/2022] Open
Abstract
Background With the advance of subthalamic nucleus (STN) deep brain stimulation (DBS) in the treatment of Parkinson’s disease (PD), it is desired to identify objective criteria for the monitoring of the therapy outcome.
This paper explores the feasibility of metabolic network derived from positron emission tomography (PET) with 18F-fluorodeoxyglucose in monitoring the STN DBS treatment for PD.
Methods Age-matched 33 PD patients, 33 healthy controls (HCs), 9 PD patients with bilateral DBS surgery and 9 controls underwent 18F-FDG PET scans. The DBS patients were followed longitudinally to investigate the alternations of the PD-related metabolic covariance pattern (PDRP) expressions. Results The PDRP expression was abnormally elevated in PD patients compared with HCs (P < 0.001). For DBS patients, a significant decrease in the Unified Parkinson’s Disease Rating Scale (UPDRS, P = 0.001) and PDRP expression (P = 0.004) was observed 3 months after STN DBS treatment, while a rollback was observed in both UPDRS and PDRP expressions (both P < 0.01) 12 months after treatment. The changes in PDRP expression mediated by STN DBS were generally in line with UPDRS improvement. The graphical network analysis shows increased connections at 3 months and a return at 12 months confirmed by small-worldness coefficient. Conclusions The preliminary results demonstrate the potential of metabolic network expression as complimentary objective biomarker for the assessment and monitoring of STN DBS treatment in PD patients. Clinical Trial Registration ChiCTR-DOC-16008645. http://www.chictr.org.cn/showproj.aspx?proj=13865.
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Affiliation(s)
- Jingjie Ge
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Min Wang
- Shanghai Institute for Advanced Communication and Data Science, Shanghai University, 99 Shangda Road, Shanghai, 200444, China
| | - Wei Lin
- Department of Neurosurgery, 904 Hospital of PLA, Wuxi, China
| | - Ping Wu
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Huiwei Zhang
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Zhemin Huang
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China
| | - Likun Yang
- Department of Neurosurgery, 904 Hospital of PLA, Wuxi, China
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235, China. .,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China.
| | - Jiehui Jiang
- Shanghai Institute for Advanced Communication and Data Science, Shanghai University, 99 Shangda Road, Shanghai, 200444, China. .,Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai, China.
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.,Department of Informatics, Technical University of Munich, Munich, Germany
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Vissani M, Isaias IU, Mazzoni A. Deep brain stimulation: a review of the open neural engineering challenges. J Neural Eng 2020; 17:051002. [PMID: 33052884 DOI: 10.1088/1741-2552/abb581] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Deep brain stimulation (DBS) is an established and valid therapy for a variety of pathological conditions ranging from motor to cognitive disorders. Still, much of the DBS-related mechanism of action is far from being understood, and there are several side effects of DBS whose origin is unclear. In the last years DBS limitations have been tackled by a variety of approaches, including adaptive deep brain stimulation (aDBS), a technique that relies on using chronically implanted electrodes on 'sensing mode' to detect the neural markers of specific motor symptoms and to deliver on-demand or modulate the stimulation parameters accordingly. Here we will review the state of the art of the several approaches to improve DBS and summarize the main challenges toward the development of an effective aDBS therapy. APPROACH We discuss models of basal ganglia disorders pathogenesis, hardware and software improvements for conventional DBS, and candidate neural and non-neural features and related control strategies for aDBS. MAIN RESULTS We identify then the main operative challenges toward optimal DBS such as (i) accurate target localization, (ii) increased spatial resolution of stimulation, (iii) development of in silico tests for DBS, (iv) identification of specific motor symptoms biomarkers, in particular (v) assessing how LFP oscillations relate to behavioral disfunctions, and (vi) clarify how stimulation affects the cortico-basal-ganglia-thalamic network to (vii) design optimal stimulation patterns. SIGNIFICANCE This roadmap will lead neural engineers novel to the field toward the most relevant open issues of DBS, while the in-depth readers might find a careful comparison of advantages and drawbacks of the most recent attempts to improve DBS-related neuromodulatory strategies.
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Affiliation(s)
- Matteo Vissani
- The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy. Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56025 Pisa, Italy
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Sharma VD, Patel M, Miocinovic S. Surgical Treatment of Parkinson's Disease: Devices and Lesion Approaches. Neurotherapeutics 2020; 17:1525-1538. [PMID: 33118132 PMCID: PMC7851282 DOI: 10.1007/s13311-020-00939-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2020] [Indexed: 10/23/2022] Open
Abstract
Surgical treatments have transformed the management of Parkinson's disease (PD). Therapeutic options available for the management of PD motor complications include deep brain stimulation (DBS), ablative or lesioning procedures (pallidotomy, thalamotomy, subthalamotomy), and dopaminergic medication infusion devices. The decision to pursue these advanced treatment options is typically done by a multidisciplinary team by considering factors such as the patient's clinical characteristics, efficacy, ease of use, and risks of therapy with a goal to improve PD symptoms and quality of life. DBS has become the most widely used surgical therapy, although there is a re-emergence of interest in ablative procedures with the introduction of MR-guided focused ultrasound. In this article, we review DBS and lesioning procedures for PD, including indications, selection process, and management strategies.
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Affiliation(s)
- Vibhash D Sharma
- Department of Neurology, University of Kansas Medical Center, 3599 Rainbow Blvd, MS 3042, Kansas City, KS, 66160, USA.
| | - Margi Patel
- Department of Neurology, Emory University, Atlanta, GA, USA
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Paff M, Loh A, Sarica C, Lozano AM, Fasano A. Update on Current Technologies for Deep Brain Stimulation in Parkinson's Disease. J Mov Disord 2020; 13:185-198. [PMID: 32854482 PMCID: PMC7502302 DOI: 10.14802/jmd.20052] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/22/2020] [Accepted: 07/05/2020] [Indexed: 01/19/2023] Open
Abstract
Deep brain stimulation (DBS) is becoming increasingly central in the treatment of patients with Parkinson's disease and other movement disorders. Recent developments in DBS lead and implantable pulse generator design provide increased flexibility for programming, potentially improving the therapeutic benefit of stimulation. Directional DBS leads may increase the therapeutic window of stimulation by providing a means of avoiding current spread to structures that might give rise to stimulation-related side effects. Similarly, control of current to individual contacts on a DBS lead allows for shaping of the electric field produced between multiple active contacts. The following review aims to describe the recent developments in DBS system technology and the features of each commercially available DBS system. The advantages of each system are reviewed, and general considerations for choosing the most appropriate system are discussed.
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Affiliation(s)
- Michelle Paff
- Division of Neurosurgery, University Health Network, University of Toronto, Toronto, Canada
| | - Aaron Loh
- Division of Neurosurgery, University Health Network, University of Toronto, Toronto, Canada
| | - Can Sarica
- Division of Neurosurgery, University Health Network, University of Toronto, Toronto, Canada
| | - Andres M. Lozano
- Division of Neurosurgery, University Health Network, University of Toronto, Toronto, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson’s Disease, Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, UHN, Division of Neurology, University of Toronto, Toronto, Canada
- Krembil Brain Institute, Toronto, Canada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, Canada
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43
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Dijk JM, Espay AJ, Katzenschlager R, de Bie RMA. The Choice Between Advanced Therapies for Parkinson's Disease Patients: Why, What, and When? JOURNAL OF PARKINSONS DISEASE 2020; 10:S65-S73. [PMID: 32651333 PMCID: PMC7592668 DOI: 10.3233/jpd-202104] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
When oral dopaminergic medication falls short in the treatment of Parkinson’s disease, patients are left with motor response fluctuations and dyskinesias that may have a large impact on functioning in daily life. They may benefit from one of the currently available advanced treatments, namely deep brain stimulation, continuous levodopa-carbidopa intestinal gel, and continuous subcutaneous apomorphine infusion. The indication, choice between the separate advanced treatments and the timing can be challenging and will be discussed against the background of the progressive nature of the disease, the heterogeneity of disease manifestation and variable patient characteristics.
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Affiliation(s)
- Joke M Dijk
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Alberto J Espay
- Department of Neurology, James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, USA
| | - Regina Katzenschlager
- Donauspital, Department of Neurology and Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders, Vienna, Austria
| | - Rob M A de Bie
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
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44
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Béreau M, Kibleur A, Bouthour W, Tomkova Chaoui E, Maling N, Nguyen TAK, Momjian S, Vargas Gomez MI, Zacharia A, Bally JF, Fleury V, Tatu L, Burkhard PR, Krack P. Modeling of Electric Fields in Individual Imaging Atlas for Capsular Threshold Prediction of Deep Brain Stimulation in Parkinson's Disease: A Pilot Study. Front Neurol 2020; 11:532. [PMID: 32714264 PMCID: PMC7343907 DOI: 10.3389/fneur.2020.00532] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 05/13/2020] [Indexed: 12/30/2022] Open
Abstract
Background: Modeling of deep brain stimulation electric fields and anatomy-based software might improve post-operative management of patients with Parkinson's disease (PD) who have benefitted from subthalamic nucleus deep brain stimulation (STN-DBS). Objective: We compared clinical and software-guided determination of the thresholds for current diffusion to the pyramidal tract, the most frequent limiting side effect in post-operative management of STN-DBS PD patients. Methods: We assessed monopolar reviews in 16 consecutive STN-DBS PD patients and retrospectively compared clinical capsular thresholds, which had been assessed according to standard clinical practice, to those predicted by volume of tissue activated (VTA) model software. All the modeling steps were performed blinded from patients' clinical evaluations. Results: At the group level, we found a significant correlation (p = 0.0001) when performing statistical analysis on the z-scored capsular thresholds, but with a low regression coefficient (r = 0.2445). When considering intra-patient analysis, we found significant correlations (p < 0.05) between capsular threshold as modeled with the software and capsular threshold as determined clinically in five patients (31.2%). Conclusions: In this pilot study, the VTA model software was of limited assistance in identifying capsular thresholds for the whole cohort due to a large inter-patient variability. Clinical testing remains the gold standard in selecting stimulation parameters for STN-DBS in PD.
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Affiliation(s)
- Matthieu Béreau
- Department of Neurology, Besançon University Hospital, Besançon, France.,Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Astrid Kibleur
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Walid Bouthour
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | | | | | - T A Khoa Nguyen
- Department of Neurology, Bern University Hospital, Bern, Switzerland
| | - Shahan Momjian
- Department of Neurosurgery, Geneva University Hospital, Geneva, Switzerland
| | | | - André Zacharia
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Julien F Bally
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Vanessa Fleury
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Laurent Tatu
- Department of Neurology, Besançon University Hospital, Besançon, France
| | - Pierre R Burkhard
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Paul Krack
- Department of Neurology, Geneva University Hospital, Geneva, Switzerland.,Department of Neurology, Bern University Hospital, Bern, Switzerland
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45
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Affiliation(s)
- Michael S Okun
- Fixel Institute for Neurological Diseases, Department of Neurology, University of Florida Program for Movement Disorders and Neurorestoration, Gainesville
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46
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Deuschl G, Krack P. Intrepidly studying deep brain stimulation in patients with Parkinson's disease. Lancet Neurol 2020; 19:472-473. [DOI: 10.1016/s1474-4422(20)30138-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 04/09/2020] [Indexed: 01/21/2023]
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47
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Vitek JL, Jain R, Chen L, Tröster AI, Schrock LE, House PA, Giroux ML, Hebb AO, Farris SM, Whiting DM, Leichliter TA, Ostrem JL, San Luciano M, Galifianakis N, Verhagen Metman L, Sani S, Karl JA, Siddiqui MS, Tatter SB, Ul Haq I, Machado AG, Gostkowski M, Tagliati M, Mamelak AN, Okun MS, Foote KD, Moguel-Cobos G, Ponce FA, Pahwa R, Nazzaro JM, Buetefisch CM, Gross RE, Luca CC, Jagid JR, Revuelta GJ, Takacs I, Pourfar MH, Mogilner AY, Duker AP, Mandybur GT, Rosenow JM, Cooper SE, Park MC, Khandhar SM, Sedrak M, Phibbs FT, Pilitsis JG, Uitti RJ, Starr PA. 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 2020; 19:491-501. [PMID: 32470421 DOI: 10.1016/s1474-4422(20)30108-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 03/04/2020] [Accepted: 03/16/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) of the subthalamic nucleus is an established therapeutic option for managing motor symptoms of Parkinson's disease. We conducted a double-blind, sham-controlled, randomised controlled trial to assess subthalamic nucleus DBS, with a novel multiple independent contact current-controlled (MICC) device, in patients with Parkinson's disease. METHODS This trial took place at 23 implanting centres in the USA. Key inclusion criteria were age between 22 and 75 years, a diagnosis of idiopathic Parkinson's disease with over 5 years of motor symptoms, and stable use of anti-parkinsonian medications for 28 days before consent. Patients who passed screening criteria were implanted with the DBS device bilaterally in the subthalamic nucleus. Patients were randomly assigned in a 3:1 ratio to receive either active therapeutic stimulation settings (active group) or subtherapeutic stimulation settings (control group) for the 3-month blinded period. Randomisation took place with a computer-generated data capture system using a pre-generated randomisation table, stratified by site with random permuted blocks. During the 3-month blinded period, both patients and the assessors were masked to the treatment group while the unmasked programmer was responsible for programming and optimisation of device settings. The primary outcome was the difference in mean change from baseline visit to 3 months post-randomisation between the active and control groups in the mean number of waking hours per day with good symptom control and no troublesome dyskinesias, with no increase in anti-parkinsonian medications. Upon completion of the blinded phase, all patients received active treatment in the open-label period for up to 5 years. Primary and secondary outcomes were analysed by intention to treat. All patients who provided informed consent were included in the safety analysis. The open-label phase is ongoing with no new enrolment, and current findings are based on the prespecified interim analysis of the first 160 randomly assigned patients. The study is registered with ClinicalTrials.gov, NCT01839396. FINDINGS Between May 17, 2013, and Nov 30, 2017, 313 patients were enrolled across 23 sites. Of these 313 patients, 196 (63%) received the DBS implant and 191 (61%) were randomly assigned. Of the 160 patients included in the interim analysis, 121 (76%) were randomly assigned to the active group and 39 (24%) to the control group. The difference in mean change from the baseline visit (post-implant) to 3 months post-randomisation in increased ON time without troublesome dyskinesias between the active and control groups was 3·03 h (SD 4·52, 95% CI 1·3-4·7; p<0·0001). 26 serious adverse events in 20 (13%) patients occurred during the 3-month blinded period. Of these, 18 events were reported in the active group and 8 in the control group. One death was reported among the 196 patients before randomisation, which was unrelated to the procedure, device, or stimulation. INTERPRETATION This double-blind, sham-controlled, randomised controlled trial provides class I evidence of the safety and clinical efficacy of subthalamic nucleus DBS with a novel MICC device for the treatment of motor symptoms of Parkinson's disease. Future trials are needed to investigate potential benefits of producing a more defined current field using MICC technology, and its effect on clinical outcomes. FUNDING Boston Scientific.
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Affiliation(s)
- Jerrold L Vitek
- Department of Neurology, University of Minnesota School of Medicine, Minneapolis, MN, USA.
| | - Roshini Jain
- Division of Neuromodulation, Boston Scientific, Valencia, CA, USA
| | - Lilly Chen
- Division of Neuromodulation, Boston Scientific, Valencia, CA, USA
| | - Alexander I Tröster
- Department of Clinical Neuropsychology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Lauren E Schrock
- Department of Neurology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | | | - Monique L Giroux
- Movement and Neuroperformance Center of Colorado, Englewood, CO, USA; Clinical Research Neurology, Eisai, Woodcliff Lake, NJ, USA
| | - Adam O Hebb
- Department of Neurological Surgery, Kaiser Permanente, Denver, CO, USA
| | - Sierra M Farris
- Division of Neuromodulation, Boston Scientific, Valencia, CA, USA; Movement and Neuroperformance Center of Colorado, Englewood, CO, USA
| | - Donald M Whiting
- Department of Neurosurgery, Allegheny General Hospital, Pittsburgh, PA, USA
| | | | - Jill L Ostrem
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Marta San Luciano
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Nicholas Galifianakis
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Leo Verhagen Metman
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Sepehr Sani
- Department of Neurological Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Jessica A Karl
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Mustafa S Siddiqui
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ihtsham Ul Haq
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Andre G Machado
- Center for Neurological Restoration, Cleveland Clinic, Cleveland, OH, USA
| | - Michal Gostkowski
- Center for Neurological Restoration, Cleveland Clinic, Cleveland, OH, USA
| | - Michele Tagliati
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michael S Okun
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Kelly D Foote
- Department of Neurosurgery, College of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Francisco A Ponce
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Rajesh Pahwa
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jules M Nazzaro
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Robert E Gross
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Corneliu C Luca
- Department of Neurology, University of Miami School of Medicine, Miami, FL, USA
| | - Jonathan R Jagid
- Department of Neurosurgery, University of Miami School of Medicine, Miami, FL, USA
| | - Gonzalo J Revuelta
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Istvan Takacs
- Department of Neurosurgery, Medical University of South Carolina, Charleston, SC, USA
| | - Michael H Pourfar
- Department of Neurology, New York University Medical Center, New York City, NY, USA
| | - Alon Y Mogilner
- Department of Neurosurgery, New York University Medical Center, New York City, NY, USA
| | - Andrew P Duker
- Department of Neurology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - George T Mandybur
- Department of Neurosurgery, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Joshua M Rosenow
- Department of Neurosurgery, Northwestern University School of Medicine, Chicago, IL, USA
| | - Scott E Cooper
- Department of Neurology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Michael C Park
- Department of Neurosurgery, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Suketu M Khandhar
- Department of Neurology, Kaiser Permanente Medical Center, Sacramento, CA, USA
| | - Mark Sedrak
- Department of Neurosurgery, Kaiser Permanente Medical Center, Redwood City, CA, USA
| | - Fenna T Phibbs
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie G Pilitsis
- Department of Neurosurgery, Albany Medical Center, Albany, NY, USA
| | - Ryan J Uitti
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Philip A Starr
- Department of Neurosurgery, University of California, San Francisco, San Francisco, CA, USA
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48
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Hui D, Murgai AA, Gilmore G, Mohideen SI, Parrent AG, Jog MS. Assessing the effect of current steering on the total electrical energy delivered and ambulation in Parkinson's disease. Sci Rep 2020; 10:8256. [PMID: 32427934 PMCID: PMC7237436 DOI: 10.1038/s41598-020-64250-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 04/06/2020] [Indexed: 11/09/2022] Open
Abstract
Vertical current steering (vCS) divides current between multiple contacts, which reduces radial spread to fine-tune the electric field shape and improves neuroanatomical targeting. vCS may improve the variable responsiveness of Parkinsonian gait to conventional deep brain stimulation. We hypothesized that vCS elicits greater improvement in ambulation in Parkinson’s disease patients compared to conventional, single-contact stimulation. vCS was implemented with divisions of 70%/30% and 50%/50% and compared to single-contact stimulation with four therapeutic window amplitudes in current-controlled systems. Walking at a self-selected pace was evaluated in seven levodopa-responsive patients. Integrative measures of gait and stimulation parameters were assessed with the functional ambulation performance (FAP) score and total electrical energy delivered (TEED), respectively. A two-tailed Wilcoxon matched-pairs signed rank test assessed the effect of each stimulation condition on FAP and TEED and compared regression slopes; further, a two-tailed Spearman test identified correlations. vCS significantly lowered the TEED (P < 0.0001); however, FAP scores were not different between conditions (P = 0.786). Compared to single-contact stimulation, vCS elicited higher FAP scores with lower TEED (P = 0.031). FAP and TEED were positively correlated in vCS (P = 2.000 × 10-5, r = 0.397) and single-contact stimulation (P = 0.034, r = 0.205). Therefore, vCS and single-contact stimulation improved ambulation similarly but vCS reduced the TEED and side-effects at higher amplitudes.
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Affiliation(s)
- Daphne Hui
- Department of Physiology and Pharmacology, Western University, London, ON, N6A 5C1, Canada.
| | - Aditya A Murgai
- Department of Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada
| | - Greydon Gilmore
- Department of Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada.,School of Biomedical Engineering, Western University, London, ON, N6A 3K7, Canada
| | - Shabna I Mohideen
- Department of Physiology and Pharmacology, Western University, London, ON, N6A 5C1, Canada
| | - Andrew G Parrent
- Department of Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada
| | - Mandar S Jog
- Department of Physiology and Pharmacology, Western University, London, ON, N6A 5C1, Canada.,Department of Clinical Neurological Sciences, Western University, London, ON, N6A 3K7, Canada.,School of Biomedical Engineering, Western University, London, ON, N6A 3K7, Canada
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49
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Whone AL, Boca M, Luz M, Woolley M, Mooney L, Dharia S, Broadfoot J, Cronin D, Schroers C, Barua NU, Longpre L, Barclay CL, Boiko C, Johnson GA, Fibiger HC, Harrison R, Lewis O, Pritchard G, Howell M, Irving C, Johnson D, Kinch S, Marshall C, Lawrence AD, Blinder S, Sossi V, Stoessl AJ, Skinner P, Mohr E, Gill SS. Extended Treatment with Glial Cell Line-Derived Neurotrophic Factor in Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2020; 9:301-313. [PMID: 30829619 PMCID: PMC6597995 DOI: 10.3233/jpd-191576] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Background: Intraputamenal glial cell line-derived neurotrophic factor (GDNF), administered every 4 weeks to patients with moderately advanced Parkinson’s disease, did not show significant clinical improvements against placebo at 40 weeks, although it significantly increased [18F]DOPA uptake throughout the entire putamen. Objective: This open-label extension study explored the effects of continued (prior GDNF patients) or new (prior placebo patients) exposure to GDNF for another 40 weeks. Methods: Using the infusion protocol of the parent study, all patients received GDNF without disclosing prior treatment allocations (GDNF or placebo). The primary outcome was the percentage change from baseline to Week 80 in the OFF state Unified Parkinson’s Disease Rating Scale (UPDRS) motor score. Results: All 41 parent study participants were enrolled. The primary outcome decreased by 26.7±20.7% in patients on GDNF for 80 weeks (GDNF/GDNF; N = 21) and 27.6±23.6% in patients on placebo for 40 weeks followed by GDNF for 40 weeks (placebo/GDNF, N = 20; least squares mean difference: 0.4%, 95% CI: –13.9, 14.6, p = 0.96). Secondary endpoints did not show significant differences between the groups at Week 80 either. Prespecified comparisons between GDNF/GDNF at Week 80 and placebo/GDNF at Week 40 showed significant differences for mean OFF state UPDRS motor (–9.6±6.7 vs. –3.8±4.2 points, p = 0.0108) and activities of daily living score (–6.9±5.5 vs. –1.0±3.7 points, p = 0.0003). No treatment-emergent safety concerns were identified. Conclusions: The aggregate study results, from the parent and open-label extension suggest that future testing with GDNF will likely require an 80- rather than a 40-week randomized treatment period and/or a higher dose.
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Affiliation(s)
- Alan L Whone
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Mihaela Boca
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Matthias Luz
- Med Genesis Therapeutix Inc., Victoria, BC, Canada
| | - Max Woolley
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Lucy Mooney
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Sonali Dharia
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Jack Broadfoot
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - David Cronin
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Christian Schroers
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Neil U Barua
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK
| | - Lara Longpre
- Med Genesis Therapeutix Inc., Victoria, BC, Canada
| | | | - Chris Boiko
- Med Genesis Therapeutix Inc., Victoria, BC, Canada
| | | | | | - Rob Harrison
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Owen Lewis
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Gemma Pritchard
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Mike Howell
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Charlie Irving
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - David Johnson
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Suk Kinch
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Christopher Marshall
- The Wales Research and Diagnostic Positron Emission Tomography Imaging Centre (PETIC), Cardiff University, Cardiff, UK
| | | | - Stephan Blinder
- Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - Vesna Sossi
- Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - A Jon Stoessl
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Paul Skinner
- Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
| | - Erich Mohr
- Med Genesis Therapeutix Inc., Victoria, BC, Canada
| | - Steven S Gill
- Neurological and Musculoskeletal Sciences Division, North Bristol NHS Trust, Bristol, UK.,Renishaw plc, New Mills, Wotton-under-Edge, Gloucestershire, UK
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50
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Macerollo A, Zrinzo L, Akram H, Foltynie T, Limousin P. Subthalamic nucleus deep brain stimulation for Parkinson’s disease: current trends and future directions. Expert Rev Med Devices 2020; 17:1063-1074. [DOI: 10.1080/17434440.2020.1747433] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Antonella Macerollo
- Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, UK
- School of Psychology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
- Unit of Functional Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, UK
| | - Harith Akram
- Unit of Functional Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, UK
| | - Thomas Foltynie
- Unit of Functional Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, UK
| | - Patricia Limousin
- Unit of Functional Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, UK
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