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Hernandez-Martin E, Kasiri M, Abe S, MacLean J, Olaya J, Liker M, Chu J, Sanger TD. Globus pallidus internus activity increases during voluntary movement in children with dystonia. iScience 2023; 26:107066. [PMID: 37389183 PMCID: PMC10300218 DOI: 10.1016/j.isci.2023.107066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/27/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
The rate model of basal ganglia function predicts that muscle activity in dystonia is due to disinhibition of thalamus resulting from decreased inhibitory input from pallidum. We seek to test this hypothesis in children with dyskinetic cerebral palsy undergoing evaluation for deep brain stimulation (DBS) to analyze movement-related activity in different brain regions. The results revealed prominent beta-band frequency peaks in the globus pallidus interna (GPi), ventral oralis anterior/posterior (VoaVop) subnuclei of the thalamus, and subthalamic nucleus (STN) during movement but not at rest. Connectivity analysis indicated stronger coupling between STN-VoaVop and STN-GPi compared to GPi-STN. These findings contradict the hypothesis of decreased thalamic inhibition in dystonia, suggesting that abnormal patterns of inhibition and disinhibition, rather than reduced GPi activity, contribute to the disorder. Additionally, the study implies that correcting abnormalities in GPi function may explain the effectiveness of DBS targeting the STN and GPi in treating dystonia.
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Affiliation(s)
- Estefania Hernandez-Martin
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Maral Kasiri
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - Sumiko Abe
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
| | - Jennifer MacLean
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Joffre Olaya
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
| | - Mark Liker
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Jason Chu
- Department of Neurosurgery, University of Southern California, Los Angeles, CA, USA
| | - Terence D. Sanger
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, USA
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
- Department of Neurosurgery and Neurology, Children’s Hospital of Orange County (CHOC), Orange, CA, USA
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2
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Fischer P, Piña-Fuentes D, Kassavetis P, Sadnicka A. Physiology of dystonia: Human studies. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:137-162. [PMID: 37482391 DOI: 10.1016/bs.irn.2023.05.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
In this chapter, we discuss neurophysiological techniques that have been used in the study of dystonia. We examine traditional disease models such as inhibition and excessive plasticity and review the evidence that these play a causal role in pathophysiology. We then review the evidence for sensory and peripheral influences within pathophysiology and look at an emergent literature that tries to probe how oscillatory brain activity may be linked to dystonia pathophysiology.
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Affiliation(s)
- Petra Fischer
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University Walk, Bristol, United Kingdom
| | - Dan Piña-Fuentes
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, The Netherlands; Department of Neurology, OLVG, Amsterdam, The Netherlands
| | | | - Anna Sadnicka
- Motor Control and Movement Disorders Group, St George's University of London, London, United Kingdom; Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom.
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Del Vecchio Del Vecchio J, Hanafi I, Pozzi NG, Capetian P, Isaias IU, Haufe S, Palmisano C. Pallidal Recordings in Chronically Implanted Dystonic Patients: Mitigation of Tremor-Related Artifacts. Bioengineering (Basel) 2023; 10:476. [PMID: 37106663 PMCID: PMC10135680 DOI: 10.3390/bioengineering10040476] [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: 03/13/2023] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 04/29/2023] Open
Abstract
Low-frequency oscillatory patterns of pallidal local field potentials (LFPs) have been proposed as a physiomarker for dystonia and hold the promise for personalized adaptive deep brain stimulation. Head tremor, a low-frequency involuntary rhythmic movement typical of cervical dystonia, may cause movement artifacts in LFP signals, compromising the reliability of low-frequency oscillations as biomarkers for adaptive neurostimulation. We investigated chronic pallidal LFPs with the PerceptTM PC (Medtronic PLC) device in eight subjects with dystonia (five with head tremors). We applied a multiple regression approach to pallidal LFPs in patients with head tremors using kinematic information measured with an inertial measurement unit (IMU) and an electromyographic signal (EMG). With IMU regression, we found tremor contamination in all subjects, whereas EMG regression identified it in only three out of five. IMU regression was also superior to EMG regression in removing tremor-related artifacts and resulted in a significant power reduction, especially in the theta-alpha band. Pallido-muscular coherence was affected by a head tremor and disappeared after IMU regression. Our results show that the Percept PC can record low-frequency oscillations but also reveal spectral contamination due to movement artifacts. IMU regression can identify such artifact contamination and be a suitable tool for its removal.
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Affiliation(s)
- Jasmin Del Vecchio Del Vecchio
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
| | - Ibrahem Hanafi
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
| | - Nicoló Gabriele Pozzi
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
| | - Philipp Capetian
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
| | - Ioannis U. Isaias
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
- Centro Parkinson e Parkinsonismi, ASST G. Pini-CTO, 20122 Milano, Italy
| | - Stefan Haufe
- Uncertainty, Inverse Modeling and Machine Learning Group, Technische Universität Berlin, 10623 Berlin, Germany;
- Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, 10587 Berlin, Germany
- Berlin Center for Advanced Neuroimaging, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Chiara Palmisano
- Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, 97080 Würzburg, Germany; (I.H.); (N.G.P.); (P.C.); (I.U.I.); (C.P.)
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Holland MT, Jiao J, Mantovani A, Anderson S, Mitchell KA, Safarpour D, Burchiel KJ. Identifying the therapeutic zone in globus pallidus deep brain stimulation for Parkinson's disease. J Neurosurg 2023; 138:329-336. [PMID: 35901683 DOI: 10.3171/2022.5.jns22152] [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: 01/28/2022] [Accepted: 05/19/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The globus pallidus internus (GPI) has been demonstrated to be an effective surgical target for deep brain stimulation (DBS) treatment in patients with medication-refractory Parkinson's disease (PD). The ability of neurosurgeons to define the area of greatest therapeutic benefit within the globus pallidus (GP) may improve clinical outcomes in these patients. The objective of this study was to determine the best DBS therapeutic implantation site within the GP for effective treatment in PD patients. METHODS The authors performed a retrospective review of 56 patients who underwent bilateral GP DBS implantation at their institution during the period from January 2015 to January 2020. Each implanted contact was anatomically localized. Patients were followed for stimulation programming for at least 6 months. The authors reviewed preoperative and 6-month postsurgery clinical outcomes based on data from the Unified Parkinson's Disease Rating Scale Part III (UPDRS III), dyskinesia scores, and levodopa equivalent daily dose (LEDD). RESULTS Of the 112 leads implanted, the therapeutic cathode was most frequently located in the lamina between the GPI external segment (GPIe) and the GP externus (GPE) (n = 40). Other common locations included the GPE (n = 24), the GPIe (n = 15), and the lamina between the GPI internal segment (GPIi) and the GPIe (n = 14). In the majority of patients (73%) a monopolar programming configuration was used. At 6 months postsurgery, UPDRS III off medications (OFF) and on stimulation (ON) scores significantly improved (z = -4.02, p < 0.001), as did postsurgery dyskinesia ON scores (z = -4.08, p < 0.001) and postsurgery LEDD (z = -4.7, p < 0.001). CONCLUSIONS Though the ventral GP (pallidotomy target) has been a commonly used target for GP DBS, a more dorsolateral target may be more effective for neuromodulation strategies. The assessment of therapeutic contact locations performed in this study showed that the lamina between GPI and GPE used in most patients is the optimal central stimulation target. This information should improve preoperative GP targeting.
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Affiliation(s)
- Marshall T Holland
- 1Department of Neurological Surgery, University of Alabama at Birmingham, Alabama; and
| | | | - Alessandra Mantovani
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
| | | | - Katherine A Mitchell
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
| | | | - Kim J Burchiel
- 3Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon
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Olson JW, Nakhmani A, Irwin ZT, Edwards LJ, Gonzalez CL, Wade MH, Black SD, Awad MZ, Kuhman DJ, Hurt CP, Guthrie BL, Walker HC. Cortical and Subthalamic Nucleus Spectral Changes During Limb Movements in Parkinson's Disease Patients with and Without Dystonia. Mov Disord 2022; 37:1683-1692. [PMID: 35702056 PMCID: PMC9541849 DOI: 10.1002/mds.29057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/19/2022] [Accepted: 04/22/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Dystonia is an understudied motor feature of Parkinson's disease (PD). Although considerable efforts have focused on brain oscillations related to the cardinal symptoms of PD, whether dystonia is associated with specific electrophysiological features is unclear. OBJECTIVE The objective of this study was to investigate subcortical and cortical field potentials at rest and during contralateral hand and foot movements in patients with PD with and without dystonia. METHODS We examined the prevalence and distribution of dystonia in patients with PD undergoing deep brain stimulation surgery. During surgery, we recorded intracranial electrophysiology from the motor cortex and directional electrodes in the subthalamic nucleus (STN) both at rest and during self-paced repetitive contralateral hand and foot movements. Wavelet transforms and mixed models characterized changes in spectral content in patients with and without dystonia. RESULTS Dystonia was highly prevalent at enrollment (61%) and occurred most commonly in the foot. Regardless of dystonia status, cortical recordings display beta (13-30 Hz) desynchronization during movements versus rest, while STN signals show increased power in low frequencies (6.0 ± 3.3 and 4.2 ± 2.9 Hz peak frequencies for hand and foot movements, respectively). Patients with PD with dystonia during deep brain stimulation surgery displayed greater M1 beta power at rest and STN low-frequency power during movements versus those without dystonia. CONCLUSIONS Spectral power in motor cortex and STN field potentials differs markedly during repetitive limb movements, with cortical beta desynchronization and subcortical low-frequency synchronization, especially in patients with PD with dystonia. Greater knowledge on field potential dynamics in human motor circuits can inform dystonia pathophysiology in PD and guide novel approaches to therapy. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Joseph W Olson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Arie Nakhmani
- Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Zachary T Irwin
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Lloyd J Edwards
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | | | - Melissa H Wade
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sarah D Black
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mohammad Z Awad
- Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Daniel J Kuhman
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Christopher P Hurt
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Bart L Guthrie
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Harrison C Walker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
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6
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Swinnen BEKS, Buijink AW, Piña-Fuentes D, de Bie RMA, Beudel M. Diving into the Subcortex: The Potential of Chronic Subcortical Sensing for Unravelling Basal Ganglia Function and Optimization of Deep Brain STIMULATION. Neuroimage 2022; 254:119147. [PMID: 35346837 DOI: 10.1016/j.neuroimage.2022.119147] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/18/2022] Open
Abstract
Subcortical structures are a relative neurophysiological 'terra incognita' owing to their location within the skull. While perioperative subcortical sensing has been performed for more than 20 years, the neurophysiology of the basal ganglia in the home setting has remained almost unexplored. However, with the recent advent of implantable pulse generators (IPG) that are able to record neural activity, the opportunity to chronically record local field potentials (LFPs) directly from electrodes implanted for deep brain stimulation opens up. This allows for a breakthrough of chronic subcortical sensing into fundamental research and clinical practice. In this review an extensive overview of the current state of subcortical sensing is provided. The widespread potential of chronic subcortical sensing for investigational and clinical use is discussed. Finally, status and future perspectives of the most promising application of chronic subcortical sensing -i.e., adaptive deep brain stimulation (aDBS)- are discussed in the context of movement disorders. The development of aDBS based on both chronic subcortical and cortical sensing has the potential to dramatically change clinical practice and the life of patients with movement disorders. However, several barriers still stand in the way of clinical implementation. Advancements regarding IPG and lead technology, physiomarkers, and aDBS algorithms as well as harnessing artificial intelligence, multimodality and sensing in the naturalistic setting are needed to bring aDBS to clinical practice.
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Affiliation(s)
- Bart E K S Swinnen
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical, Centers, Amsterdam Neuroscience, University of Amsterdam, PO Box 22660, Amsterdam 1100DD, the Netherland.
| | - Arthur W Buijink
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical, Centers, Amsterdam Neuroscience, University of Amsterdam, PO Box 22660, Amsterdam 1100DD, the Netherland
| | - Dan Piña-Fuentes
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical, Centers, Amsterdam Neuroscience, University of Amsterdam, PO Box 22660, Amsterdam 1100DD, the Netherland
| | - Rob M A de Bie
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical, Centers, Amsterdam Neuroscience, University of Amsterdam, PO Box 22660, Amsterdam 1100DD, the Netherland
| | - Martijn Beudel
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical, Centers, Amsterdam Neuroscience, University of Amsterdam, PO Box 22660, Amsterdam 1100DD, the Netherland
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7
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Pozzi NG, Isaias IU. Adaptive deep brain stimulation: Retuning Parkinson's disease. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:273-284. [PMID: 35034741 DOI: 10.1016/b978-0-12-819410-2.00015-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A brain-machine interface represents a promising therapeutic avenue for the treatment of many neurologic conditions. Deep brain stimulation (DBS) is an invasive, neuro-modulatory tool that can improve different neurologic disorders by delivering electric stimulation to selected brain areas. DBS is particularly successful in advanced Parkinson's disease (PD), where it allows sustained improvement of motor symptoms. However, this approach is still poorly standardized, with variable clinical outcomes. To achieve an optimal therapeutic effect, novel adaptive DBS (aDBS) systems are being developed. These devices operate by adapting stimulation parameters in response to an input signal that can represent symptoms, motor activity, or other behavioral features. Emerging evidence suggests greater efficacy with fewer adverse effects during aDBS compared with conventional DBS. We address this topic by discussing the basics principles of aDBS, reviewing current evidence, and tackling the many challenges posed by aDBS for PD.
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Affiliation(s)
- Nicoló G Pozzi
- Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany
| | - Ioannis U Isaias
- Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany.
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Pardo-Rodriguez M, Bojorges-Valdez E, Yanez-Suarez O. Disruption of the Cortical-Vagal Communication Network in Parkinson's Disease. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:5842-5845. [PMID: 34892448 DOI: 10.1109/embc46164.2021.9630751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Parkinson's disease (PD) is a neuropathy characterized by motor disorders, but it has also been associated with the presence of autonomic alterations as a result of degradation of the dopaminergic system. Studying the relation between Band Power time series (BPts) and Heart Rate Variability (HRV), has been proposed as a tool to explore the bidirectional communication pathways between cortex and autonomic control. This work presents a primer analysis on study brain ↔ heart interaction on a databse of PD patients under two conditions: without and after levadopa (L-dopa) intake. Additionally a healthy control population was also analyzed, and used as comparison level between both conditions. Results show PD affects pathways by reducing the number of connections, specially association of beta and power and the second faster component of HRV seems to be more sensitive to L-dopa administration.
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9
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Johnson V, Wilt R, Gilron R, Anso J, Perrone R, Beudel M, Piña-Fuentes D, Saal J, Ostrem JL, Bledsoe I, Starr P, Little S. Embedded adaptive deep brain stimulation for cervical dystonia controlled by motor cortex theta oscillations. Exp Neurol 2021; 345:113825. [PMID: 34331900 DOI: 10.1016/j.expneurol.2021.113825] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/08/2021] [Accepted: 07/26/2021] [Indexed: 12/23/2022]
Abstract
Dystonia is a disabling movement disorder characterized by excessive muscle contraction for which the underlying pathophysiology is incompletely understood and treatment interventions limited in efficacy. Here we utilize a novel, sensing-enabled, deep brain stimulator device, implanted in a patient with cervical dystonia, to record local field potentials from chronically implanted electrodes in the sensorimotor cortex and subthalamic nuclei bilaterally. This rechargeable device was able to record large volumes of neural data at home, in the naturalistic environment, during unconstrained activity. We confirmed the presence of theta (3-7 Hz) oscillatory activity, which was coherent throughout the cortico-subthalamic circuit and specifically suppressed by high-frequency stimulation. Stimulation also reduced the duration, rate and height of theta bursts. These findings motivated a proof-of-principle trial of a new form of adaptive deep brain stimulation - triggered by theta-burst activity recorded from the motor cortex. This facilitated increased peak stimulation amplitudes without induction of dyskinesias and demonstrated improved blinded clinical ratings compared to continuous DBS, despite reduced total electrical energy delivered. These results further strengthen the pathophysiological role of low frequency (theta) oscillations in dystonia and demonstrate the potential for novel adaptive stimulation strategies linked to cortico-basal theta bursts.
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Affiliation(s)
- Vinith Johnson
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Robert Wilt
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Roee Gilron
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Juan Anso
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Randy Perrone
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Martijn Beudel
- Department of Neurology, Amsterdam Neuroscience Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Dan Piña-Fuentes
- Department of Neurology, Amsterdam Neuroscience Institute, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Jeremy Saal
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Jill L Ostrem
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Ian Bledsoe
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Philip Starr
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
| | - Simon Little
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA.
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Wei X, Zhang H, Gong B, Chang S, Lu M, Yi G, Zhang Z, Deng B, Wang J. An Embedded Multi-Core Real-Time Simulation Platform of Basal Ganglia for Deep Brain Stimulation. IEEE Trans Neural Syst Rehabil Eng 2021; 29:1328-1340. [PMID: 34232884 DOI: 10.1109/tnsre.2021.3095316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Closed-loop deep brain stimulation (DBS) paradigm is gaining tremendous favor due to its potential capability of further and more efficient improvements in neurological diseases. Preclinical validation of closed-loop controller is quite necessary in order to minimize injury risks of clinical trials to patients, which can greatly benefit from real-time computational models and thus potentially reduce research and development costs and time. Here we developed an embedded multi-core real-time simulation platform (EMC-RTP) for a biological-faithful computational network model of basal ganglia (BG). The single neuron model is implemented in a highly real-time manner using a reasonable simplification. A modular mapping architecture with hierarchical routing organization was constructed to mimic the pathological neural activities of BG observed in parkinsonian conditions. A closed-loop simulation testbed for DBS validation was then set up using a host computer as the DBS controller. The availability of EMC-RTP and the testbed system was validated by comparing the performance of open-loop and proportional-integral (PI) controllers. Our experimental results showed that the proposed EMC-RTP reproduces abnormal beta bursts of BG in parkinsonian conditions while meets requirements of both real-time and computational accuracy as well. Closed-loop DBS experiments using the EMC-RTP suggested that the platform could perform reasonable output under different kinds of DBS strategies, indicating the usability of the platform.
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11
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Burns MR, Chiu SY, Patel B, Mitropanopoulos SG, Wong JK, Ramirez-Zamora A. Advances and Future Directions of Neuromodulation in Neurologic Disorders. Neurol Clin 2020; 39:71-85. [PMID: 33223090 DOI: 10.1016/j.ncl.2020.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
"Deep brain stimulation is a safe and effective therapy for the management of a variety of neurologic conditions with Food and Drug Administration or humanitarian exception approval for Parkinson disease, dystonia, tremor, and obsessive-compulsive disorder. Advances in neurophysiology, neuroimaging, and technology have driven increasing interest in the potential benefits of neurostimulation in other neuropsychiatric conditions including dementia, depression, pain, Tourette syndrome, and epilepsy, among others. New anatomic or combined targets are being investigated in these conditions to improve symptoms refractory to medications or standard stimulation."
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Affiliation(s)
- Matthew R Burns
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA
| | - Shannon Y Chiu
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA
| | - Bhavana Patel
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA
| | - Sotiris G Mitropanopoulos
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA
| | - Joshua K Wong
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA
| | - Adolfo Ramirez-Zamora
- The Fixel Institute for Neurological Diseases, Department of Neurology, The University of Florida, 3009 Williston Road, Gainesville, FL 32608, USA.
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12
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Piña-Fuentes D, Beudel M, Van Zijl J, Van Egmond M, Oterdoom D, Van Dijk J, Tijssen M. Low-frequency oscillation suppression in dystonia: Implications for adaptive deep brain stimulation. Parkinsonism Relat Disord 2020; 79:105-109. [DOI: 10.1016/j.parkreldis.2020.08.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/18/2020] [Accepted: 08/21/2020] [Indexed: 02/08/2023]
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13
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Ramirez-Zamora A, Giordano J, Gunduz A, Alcantara J, Cagle JN, Cernera S, Difuntorum P, Eisinger RS, Gomez J, Long S, Parks B, Wong JK, Chiu S, Patel B, Grill WM, Walker HC, Little SJ, Gilron R, Tinkhauser G, Thevathasan W, Sinclair NC, Lozano AM, Foltynie T, Fasano A, Sheth SA, Scangos K, Sanger TD, Miller J, Brumback AC, Rajasethupathy P, McIntyre C, Schlachter L, Suthana N, Kubu C, Sankary LR, Herrera-Ferrá K, Goetz S, Cheeran B, Steinke GK, Hess C, Almeida L, Deeb W, Foote KD, Okun MS. Proceedings of the Seventh Annual Deep Brain Stimulation Think Tank: Advances in Neurophysiology, Adaptive DBS, Virtual Reality, Neuroethics and Technology. Front Hum Neurosci 2020; 14:54. [PMID: 32292333 PMCID: PMC7134196 DOI: 10.3389/fnhum.2020.00054] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 02/05/2020] [Indexed: 12/12/2022] Open
Abstract
The Seventh Annual Deep Brain Stimulation (DBS) Think Tank held on September 8th of 2019 addressed the most current: (1) use and utility of complex neurophysiological signals for development of adaptive neurostimulation to improve clinical outcomes; (2) Advancements in recent neuromodulation techniques to treat neuropsychiatric disorders; (3) New developments in optogenetics and DBS; (4) The use of augmented Virtual reality (VR) and neuromodulation; (5) commercially available technologies; and (6) ethical issues arising in and from research and use of DBS. These advances serve as both "markers of progress" and challenges and opportunities for ongoing address, engagement, and deliberation as we move to improve the functional capabilities and translational value of DBS. It is in this light that these proceedings are presented to inform the field and initiate ongoing discourse. As consistent with the intent, and spirit of this, and prior DBS Think Tanks, the overarching goal is to continue to develop multidisciplinary collaborations to rapidly advance the field and ultimately improve patient outcomes.
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Affiliation(s)
- Adolfo Ramirez-Zamora
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - James Giordano
- Departments of Neurology and Biochemistry, and Neuroethics Studies Program—Pellegrino Center for Clinical Bioethics, Georgetown University Medical Center, Washington, DC, United States
| | - Aysegul Gunduz
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Jose Alcantara
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Jackson N. Cagle
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Stephanie Cernera
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Parker Difuntorum
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Robert S. Eisinger
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Julieth Gomez
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Sarah Long
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Brandon Parks
- J. Crayton Pruitt Family Department of Biomedical Engineering, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
- Department of Neurosurgery, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Joshua K. Wong
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Shannon Chiu
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Bhavana Patel
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Warren M. Grill
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Harrison C. Walker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Simon J. Little
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Ro’ee Gilron
- Graduate Program in Neuroscience, Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Gerd Tinkhauser
- Department of Neurology, Bern University Hospital and the University of Bern, Bern, Switzerland
- Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom
| | - Wesley Thevathasan
- Department of Neurology, The Royal Melbourne and Austin Hospitals, University of Melbourne, Melbourne, VIC, Australia
- Medical Bionics Department, University of Melbourne, East Melbourne, VIC, Australia
- Bionics Institute, East Melbourne, VIC, Australia
| | - Nicholas C. Sinclair
- Medical Bionics Department, University of Melbourne, East Melbourne, VIC, Australia
- Bionics Institute, East Melbourne, VIC, Australia
| | - Andres M. Lozano
- Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, ON, Canada
| | - Thomas Foltynie
- Institute of Neurology, University College London, London, United Kingdom
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson’s Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, ON, Canada
- Division of Neurology, University of Toronto, Krembil Brain Institute, Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada
| | - Sameer A. Sheth
- Department of Neurological Surgery, Baylor College of Medicine, Houston, TX, United States
| | - Katherine Scangos
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Terence D. Sanger
- Department of Biomedical Engineering, Neurology, Biokinesiology, University of Southern California, Los Angeles, CA, United States
| | - Jonathan Miller
- Case Western Reserve University School of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Audrey C. Brumback
- Departments of Neurology and Pediatrics at Dell Medical School and the Center for Learning and Memory, University of Texas at Austin, Austin, TX, United States
| | - Priya Rajasethupathy
- Laboratory for Neural Dynamics and Cognition, Rockefeller University, New York, NY, United States
- Department of Bioengineering, Stanford University, Stanford, CA, United States
| | - Cameron McIntyre
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
| | - Leslie Schlachter
- Department of Neurosurgery, Mount Sinai Health System, New York, NY, United States
| | - Nanthia Suthana
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Cynthia Kubu
- Department of Neurology, Cleveland Clinic, Cleveland, OH, United States
| | - Lauren R. Sankary
- Center for Bioethics, Cleveland Clinic, Cleveland, OH, United States
| | | | - Steven Goetz
- Medtronic Neuromodulation, Minneapolis, MN, United States
| | - Binith Cheeran
- Neuromodulation Division, Abbott, Plano, TX, United States
| | - G. Karl Steinke
- Boston Scientific Neuromodulation, Valencia, CA, United States
| | - Christopher Hess
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Leonardo Almeida
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Wissam Deeb
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Kelly D. Foote
- Department of Neurosurgery, Norman Fixel Institute for Neurological Diseases, Center for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
| | - Michael S. Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Program for Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, United States
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14
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Beudel M, Sadnicka A, Edwards M, de Jong BM. Linking Pathological Oscillations With Altered Temporal Processing in Parkinsons Disease: Neurophysiological Mechanisms and Implications for Neuromodulation. Front Neurol 2019; 10:462. [PMID: 31133967 PMCID: PMC6523774 DOI: 10.3389/fneur.2019.00462] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 04/16/2019] [Indexed: 12/15/2022] Open
Abstract
Emerging evidence suggests that Parkinson's disease (PD) results from disrupted oscillatory activity in cortico-basal ganglia-thalamo-cortical (CBGTC) and cerebellar networks which can be partially corrected by applying deep brain stimulation (DBS). The inherent dynamic nature of such oscillatory activity might implicate that is represents temporal aspects of motor control. While the timing of muscle activities in CBGTC networks constitute the temporal dimensions of distinct motor acts, these very networks are also involved in somatosensory processing. In this respect, a temporal aspect of somatosensory processing in motor control concerns matching predicted (feedforward) and actual (feedback) sensory consequences of movement which implies a distinct contribution to demarcating the temporal order of events. Emerging evidence shows that such somatosensory processing is altered in movement disorders. This raises the question how disrupted oscillatory activity is related to impaired temporal processing and how/whether DBS can functionally restore this. In this perspective article, the neural underpinnings of temporal processing will be reviewed and translated to the specific alternated oscillatory neural activity specifically found in Parkinson's disease. These findings will be integrated in a neurophysiological framework linking somatosensory and motor processing. Finally, future implications for neuromodulation will be discussed with potential implications for strategy across a range of movement disorders.
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Affiliation(s)
- Martijn Beudel
- Department of Neurology, Amsterdam Neuroscience Institute, Amsterdam University Medical Center, Amsterdam, Netherlands.,Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Anna Sadnicka
- Faculty of Brain Sciences, Institute of Neurology, University College London, London, United Kingdom.,Department of Neurology, St. George's University of London, London, United Kingdom
| | - Mark Edwards
- Department of Neurology, St. George's University of London, London, United Kingdom
| | - Bauke M de Jong
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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