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Azgomi HF, Louie KH, Bath JE, Presbrey KN, Balakid JP, Marks JH, Wozny TA, Galifianakis NB, Luciano MS, Little S, Starr PA, Wang DD. Modeling and Optimizing Deep Brain Stimulation to Enhance Gait in Parkinson's Disease: Personalized Treatment with Neurophysiological Insights. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.30.24316305. [PMID: 39574845 PMCID: PMC11581078 DOI: 10.1101/2024.10.30.24316305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/01/2024]
Abstract
Although high-frequency deep brain stimulation (DBS) is effective at relieving many motor symptoms of Parkinson's disease (PD), its effects on gait can be variable and unpredictable. This is due to 1) a lack of standardized and robust metrics for gait assessment in PD patients, 2) the challenges of performing a thorough evaluation of all the stimulation parameters space that can alter gait, and 3) a lack of understanding for impacts of stimulation on the neurophysiological signatures of walking. In this study, our goal was to develop a data-driven approach to identify optimal, personalized DBS stimulation parameters to improve gait in PD patients and identify the neurophysiological signature of improved gait. Local field potentials from the globus pallidus and electrocorticography from the motor cortex of three PD patients were recorded using an implanted bidirectional neural stimulator during overground walking. A walking performance index (WPI) was developed to assess gait metrics with high reliability. DBS frequency, amplitude, and pulse width on the "clinically-optimized" stimulation contact were then systemically changed to study their impacts on gait metrics and underlying neural dynamics. We developed a Gaussian Process Regressor (GPR) model to map the relationship between DBS settings and the WPI. Using this model, we identified and validated personalized DBS settings that significantly improved gait metrics. Linear mixed models were employed to identify neural spectral features associated with enhanced walking performance. We demonstrated that improved walking performance was linked to the modulation of neural activity in specific frequency bands, with reduced beta band power in the pallidum and increased alpha band pallidal-motor cortex coherence synchronization during key moments of the gait cycle. Integrating WPI and GPR to optimize DBS parameters underscores the importance of developing and understanding personalized, data-driven interventions for gait improvement in PD.
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Pellegrini F, Pozzi NG, Palmisano C, Marotta G, Buck A, Haufe S, Isaias IU. Cortical networks of parkinsonian gait: a metabolic and functional connectivity study. Ann Clin Transl Neurol 2024; 11:2597-2608. [PMID: 39186320 PMCID: PMC11514930 DOI: 10.1002/acn3.52173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 06/03/2024] [Accepted: 07/08/2024] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVE Locomotion is an automated voluntary movement sustained by coordinated neural synchronization across a distributed brain network. The cerebral cortex is central for adapting the locomotion pattern to the environment and alterations of cortical network dynamics can lead to gait impairments. Gait problems are a common symptom with a still unclear pathophysiology and represent an unmet therapeutical need in Parkinson's disease. Little is known about the cortical network dynamics of locomotor control in these patients. METHODS We studied the cortical basis of parkinsonian gait by combining metabolic brain imaging with high-density EEG recordings and kinematic measurements performed at rest and during unperturbed overground walking. RESULTS We found significant changes in functional connectivity between frontal, sensorimotor, and visuomotor cortical areas during walking as compared to resting. Specifically, hypokinetic gait was associated with poor information flow from the supplementary motor area (SMA) to precuneus and from calcarine to lingual gyrus, as well as high information flow from calcarine to cuneus. INTERPRETATION Our findings support a role for visuomotor integration processes in PD-related hypokinetic gait and suggest that reinforcing visual information may act as a compensatory strategy to allow SMA-mediated feedforward locomotor control in PD.
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Affiliation(s)
- Franziska Pellegrini
- Charité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlin Center for Advanced Neuroimaging (BCAN)BerlinGermany
- Bernstein Center for Computational NeuroscienceBerlinGermany
| | - Nicoló G. Pozzi
- Department of NeurologyUniversity Hospital of Würzburg and The Julius Maximilian University of WürzburgWürzburgGermany
| | - Chiara Palmisano
- Department of NeurologyUniversity Hospital of Würzburg and The Julius Maximilian University of WürzburgWürzburgGermany
- Parkinson Institute of MilanASST G. Pini‐CTOMilanoItaly
| | - Giorgio Marotta
- Department of Nuclear MedicineFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanoItaly
| | - Andreas Buck
- Department of Nuclear MedicineUniversity Hospital of WürzburgWürzburgGermany
| | - Stefan Haufe
- Charité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlin Center for Advanced Neuroimaging (BCAN)BerlinGermany
- Bernstein Center for Computational NeuroscienceBerlinGermany
- Uncertainty, Inverse Modeling and Machine Learning Group, Faculty IV Electrical Engineering and Computer ScienceTechnische Universität BerlinBerlinGermany
- Physikalisch‐Technische Bundesanstalt Braunschweig und BerlinBerlinGermany
| | - Ioannis U. Isaias
- Department of NeurologyUniversity Hospital of Würzburg and The Julius Maximilian University of WürzburgWürzburgGermany
- Parkinson Institute of MilanASST G. Pini‐CTOMilanoItaly
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Isaias IU, Caffi L, Borellini L, Ampollini AM, Locatelli M, Pezzoli G, Mazzoni A, Palmisano C. Case report: Improvement of gait with adaptive deep brain stimulation in a patient with Parkinson's disease. Front Bioeng Biotechnol 2024; 12:1428189. [PMID: 39323762 PMCID: PMC11423205 DOI: 10.3389/fbioe.2024.1428189] [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: 05/05/2024] [Accepted: 08/12/2024] [Indexed: 09/27/2024] Open
Abstract
Gait disturbance is a common and severe symptom of Parkinson's disease that severely impairs quality of life. Current treatments provide only partial benefits with wide variability in outcomes. Also, deep brain stimulation of the subthalamic nucleus (STN-DBS), a mainstay treatment for bradykinetic-rigid symptoms and parkinsonian tremor, is poorly effective on gait. We applied a novel DBS paradigm, adjusting the current amplitude linearly with respect to subthalamic beta power (adaptive DBS), in one parkinsonian patient with gait impairment and chronically stimulated with conventional DBS. We studied the kinematics of gait and gait initiation (anticipatory postural adjustments) as well as subthalamic beta oscillations with both conventional and adaptive DBS. With adaptive DBS, the patient showed a consistent and long-lasting improvement in walking while retaining benefits on other disease-related symptoms. We suggest that adaptive DBS can benefit gait in Parkinson's disease possibly by avoiding overstimulation and dysfunctional entrainment of the supraspinal locomotor network.
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Affiliation(s)
- Ioannis U. Isaias
- Parkinson Institute of Milan, ASST G.Pini-CTO, Milano, Italy
- University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Laura Caffi
- Parkinson Institute of Milan, ASST G.Pini-CTO, Milano, Italy
- University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
- The BioRobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy
| | - Linda Borellini
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy
| | | | - Marco Locatelli
- Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Gianni Pezzoli
- Parkinson Institute of Milan, ASST G.Pini-CTO, Milano, Italy
| | - Alberto Mazzoni
- The BioRobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy
- Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Studies, Pisa, Italy
| | - Chiara Palmisano
- Parkinson Institute of Milan, ASST G.Pini-CTO, Milano, Italy
- University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
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Farokhniaee A, Palmisano C, Del Vecchio Del Vecchio J, Pezzoli G, Volkmann J, Isaias IU. Gait-related beta-gamma phase amplitude coupling in the subthalamic nucleus of parkinsonian patients. Sci Rep 2024; 14:6674. [PMID: 38509158 PMCID: PMC10954750 DOI: 10.1038/s41598-024-57252-2] [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: 06/15/2023] [Accepted: 03/15/2024] [Indexed: 03/22/2024] Open
Abstract
Analysis of coupling between the phases and amplitudes of neural oscillations has gained increasing attention as an important mechanism for large-scale brain network dynamics. In Parkinson's disease (PD), preliminary evidence indicates abnormal beta-phase coupling to gamma-amplitude in different brain areas, including the subthalamic nucleus (STN). We analyzed bilateral STN local field potentials (LFPs) in eight subjects with PD chronically implanted with deep brain stimulation electrodes during upright quiet standing and unperturbed walking. Phase-amplitude coupling (PAC) was computed using the Kullback-Liebler method, based on the modulation index. Neurophysiological recordings were correlated with clinical and kinematic measurements and individual molecular brain imaging studies ([123I]FP-CIT and single-photon emission computed tomography). We showed a dopamine-related increase in subthalamic beta-gamma PAC from standing to walking. Patients with poor PAC modulation and low PAC during walking spent significantly more time in the stance and double support phase of the gait cycle. Our results provide new insights into the subthalamic contribution to human gait and suggest cross-frequency coupling as a gateway mechanism to convey patient-specific information of motor control for human locomotion.
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Affiliation(s)
- AmirAli Farokhniaee
- Fondazione Grigioni Per Il Morbo Di Parkinson, Via Gianfranco Zuretti 35, 20125, Milano, Italy.
- Parkinson Institute Milan, ASST G. Pini CTO, Via Bignami 1, 20126, Milano, Italy.
| | - Chiara Palmisano
- Department of Neurology, University Hospital of Würzburg, and Julius Maximilian University of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Jasmin Del Vecchio Del Vecchio
- Department of Neurology, University Hospital of Würzburg, and Julius Maximilian University of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Gianni Pezzoli
- Fondazione Grigioni Per Il Morbo Di Parkinson, Via Gianfranco Zuretti 35, 20125, Milano, Italy
- Parkinson Institute Milan, ASST G. Pini CTO, Via Bignami 1, 20126, Milano, Italy
| | - Jens Volkmann
- Department of Neurology, University Hospital of Würzburg, and Julius Maximilian University of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Ioannis U Isaias
- Parkinson Institute Milan, ASST G. Pini CTO, Via Bignami 1, 20126, Milano, Italy
- Department of Neurology, University Hospital of Würzburg, and Julius Maximilian University of Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
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Boogers A, Fasano A. A Transatlantic Viewpoint on the Role of Pallidal Stimulation for Parkinson's Disease. Mov Disord 2024; 39:36-39. [PMID: 37965914 DOI: 10.1002/mds.29656] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Affiliation(s)
- Alexandra Boogers
- Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, UHN, and Division of Neurology, University of Toronto, Toronto, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease and Morton and Gloria Shulman Movement Disorders Centre, Toronto Western Hospital, UHN, and 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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Rissardo JP, Vora NM, Tariq I, Mujtaba A, Caprara ALF. Deep Brain Stimulation for the Management of Refractory Neurological Disorders: A Comprehensive Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1991. [PMID: 38004040 PMCID: PMC10673515 DOI: 10.3390/medicina59111991] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/04/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023]
Abstract
In recent decades, deep brain stimulation (DBS) has been extensively studied due to its reversibility and significantly fewer side effects. DBS is mainly a symptomatic therapy, but the stimulation of subcortical areas by DBS is believed to affect the cytoarchitecture of the brain, leading to adaptability and neurogenesis. The neurological disorders most commonly studied with DBS were Parkinson's disease, essential tremor, obsessive-compulsive disorder, and major depressive disorder. The most precise approach to evaluating the location of the leads still relies on the stimulus-induced side effects reported by the patients. Moreover, the adequate voltage and DBS current field could correlate with the patient's symptoms. Implantable pulse generators are the main parts of the DBS, and their main characteristics, such as rechargeable capability, magnetic resonance imaging (MRI) safety, and device size, should always be discussed with patients. The safety of MRI will depend on several parameters: the part of the body where the device is implanted, the part of the body scanned, and the MRI-tesla magnetic field. It is worth mentioning that drug-resistant individuals may have different pathophysiological explanations for their resistance to medications, which could affect the efficacy of DBS therapy. Therefore, this could explain the significant difference in the outcomes of studies with DBS in individuals with drug-resistant neurological conditions.
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Affiliation(s)
| | - Nilofar Murtaza Vora
- Medicine Department, Terna Speciality Hospital and Research Centre, Navi Mumbai 400706, India;
| | - Irra Tariq
- Medicine Department, United Medical & Dental College, Karachi 75600, Pakistan;
| | - Amna Mujtaba
- Medicine Department, Karachi Medical & Dental College, Karachi 74700, Pakistan;
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Mügge F, Kleinholdermann U, Heun A, Ollenschläger M, Hannink J, Pedrosa DJ. Subthalamic 85 Hz deep brain stimulation improves walking pace and stride length in Parkinson's disease patients. Neurol Res Pract 2023; 5:33. [PMID: 37559161 PMCID: PMC10413698 DOI: 10.1186/s42466-023-00263-7] [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: 04/19/2023] [Accepted: 06/23/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Mobile gait sensors represent a compelling tool to objectify the severity of symptoms in patients with idiopathic Parkinson's disease (iPD), but also to determine the therapeutic benefit of interventions. In particular, parameters of Deep Brain stimulation (DBS) with its short latency could be accurately assessed using sensor data. This study aimed at gaining insight into gait changes due to different DBS parameters in patients with subthalamic nucleus (STN) DBS. METHODS An analysis of various gait examinations was performed on 23 of the initially enrolled 27 iPD patients with chronic STN DBS. Stimulation settings were previously adjusted for either amplitude, frequency, or pulse width in a randomised order. A linear mixed effects model was used to analyse changes in gait speed, stride length, and maximum sensor lift. RESULTS The findings of our study indicate significant improvements in gait speed, stride length, and leg lift measurable with mobile gait sensors under different DBS parameter variations. Notably, we observed positive results at 85 Hz, which proved to be more effective than often applied higher frequencies and that these improvements were traceable across almost all conditions. While pulse widths did produce some improvements in leg lift, they were less well tolerated and had inconsistent effects on some of the gait parameters. Our research suggests that using lower frequencies of DBS may offer a more tolerable and effective approach to enhancing gait in individuals with iPD. CONCLUSIONS Our results advocate for lower stimulation frequencies for patients who report gait difficulties, especially those who can adapt their DBS settings remotely. They also show that mobile gait sensors could be incorporated into clinical practice in the near future.
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Affiliation(s)
- F Mügge
- Department of Neurology, University Hospital of Marburg, Baldingerstraße, Marburg, Germany
| | - U Kleinholdermann
- Department of Neurology, University Hospital of Marburg, Baldingerstraße, Marburg, Germany.
| | - A Heun
- Department of Neurology, University Hospital of Marburg, Baldingerstraße, Marburg, Germany
| | - M Ollenschläger
- Portabiles HealthCare Technologies, Henkestraße 91, 91052, Erlangen, Germany
| | - J Hannink
- Portabiles HealthCare Technologies, Henkestraße 91, 91052, Erlangen, Germany
| | - D J Pedrosa
- Department of Neurology, University Hospital of Marburg, Baldingerstraße, Marburg, Germany
- Center of Mind, Brain and Behaviour, Philipps University Marburg, Hans-Meerwein- Straße, Marburg, Germany
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