1
|
Lagerweij SAJEA, Smit M, Centen LM, van Dijk JMC, van Egmond ME, Elting JW, Tijssen MAJ. Connecting the dots - A systematic review on coherence analysis in dystonia. Neurobiol Dis 2024; 200:106616. [PMID: 39103021 DOI: 10.1016/j.nbd.2024.106616] [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: 05/27/2024] [Revised: 07/09/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Increased 4-12 Hz oscillatory activity in the cortico-basal ganglia-thalamo-cortical (CBGTC) loop is reported in dystonia. Coherence analysis is a measure of linear coupling between two signals, revealing oscillatory activity drives that are common across motor units. By performing coherence analysis, activity of the CBGTC-loop can be measured with modalities like local field potentials (LFPs), electromyography (EMG), and electro-encephalography (EEG). The aim of this study is to perform a systematic review on the use of coherence analysis for clinical assessment and treatment of dystonia. METHODS A systematic review was performed on a search in Embase and PubMed on June 28th, 2023. All studies incorporating coherence analysis and an adult dystonia cohort were included. Three authors evaluated the eligibility of the articles. Quality was assessed using the QUADAS-2 checklist. RESULTS A total of 41 articles were included, with data of 395 adult dystonia patients. In the selected records, six different types of coherence were investigated: corticocortical, corticopallidal, corticomuscular, pallidopallidal, pallidomuscular, and intermuscular coherence. Various types of 4-12 coherence were found to be increased in all dystonia subtypes. CONCLUSION There is increased 4-12 Hz coherence found between the cortex, basal ganglia, and affected muscles in all dystonia subtypes. However, the relationship between 4-12 Hz coherence and the dystonic clinical state has not been established. DBS treatment leads to a reduction of 4-12 Hz coherence. In combination with the results of this review, the 4-12 Hz frequency band can be used as a promising phenomenon for the development of a biomarker.
Collapse
Affiliation(s)
- S A J E A Lagerweij
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands
| | - M Smit
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands
| | - L M Centen
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands
| | - J M C van Dijk
- Departments of Neurosurgery, University Medical Center Groningen. University of Groningen, the Netherlands
| | - M E van Egmond
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Departments of Clinical Neurophysiology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands
| | - J W Elting
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Departments of Clinical Neurophysiology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands
| | - M A J Tijssen
- Departments of Neurology, University Medical Center Groningen, University of Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen. University of Groningen, the Netherlands.
| |
Collapse
|
2
|
Lofredi R, Feldmann LK, Krause P, Scheller U, Neumann WJ, Krauss JK, Saryyeva A, Schneider GH, Faust K, Sander T, Kühn AA. Striato-pallidal oscillatory connectivity correlates with symptom severity in dystonia patients. Nat Commun 2024; 15:8475. [PMID: 39349466 DOI: 10.1038/s41467-024-52814-4] [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: 09/18/2023] [Accepted: 09/23/2024] [Indexed: 10/02/2024] Open
Abstract
Dystonia is a hyperkinetic movement disorder that has been associated with an imbalance towards the direct pathway between striatum and internal pallidum, but the neuronal underpinnings of this abnormal basal ganglia pathway activity remain unknown. Here, we report invasive recordings from ten dystonia patients via deep brain stimulation electrodes that allow for parallel recordings of several basal ganglia nuclei, namely the striatum, external and internal pallidum, that all displayed activity in the low frequency band (3-12 Hz). In addition to a correlation with low-frequency activity in the internal pallidum (R = 0.88, P = 0.001), we demonstrate that dystonic symptoms correlate specifically with low-frequency coupling between striatum and internal pallidum (R = 0.75, P = 0.009). This points towards a pathophysiological role of the direct striato-pallidal pathway in dystonia that is conveyed via coupling in the enhanced low-frequency band. Our study provides a mechanistic insight into the pathophysiology of dystonia by revealing a link between symptom severity and frequency-specific coupling of distinct basal ganglia pathways.
Collapse
Affiliation(s)
- Roxanne Lofredi
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Lucia K Feldmann
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Krause
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ute Scheller
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Neurology, Universität Göttingen, Göttingen, Germany
| | - Wolf-Julian Neumann
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Joachim K Krauss
- Department of Neurosurgery, Medizinische Hochschule Hannover, Hannover, Germany
| | - Assel Saryyeva
- Department of Neurosurgery, Medizinische Hochschule Hannover, Hannover, Germany
| | | | - Katharina Faust
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Tilmann Sander
- Physikalisch Technische Bundesanstalt, Abbestraße 2, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Bernstein Center for Computational Neuroscience, Humboldt-Universität zu Berlin, Berlin, Germany.
- NeuroCure, Exzellenzcluster, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- DZNE, German Center for Neurodegenerative Diseases, Berlin, Germany.
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
| |
Collapse
|
3
|
Li Z, Abram L, Peall KJ. Deciphering the Pathophysiological Mechanisms Underpinning Myoclonus Dystonia Using Pluripotent Stem Cell-Derived Cellular Models. Cells 2024; 13:1520. [PMID: 39329704 PMCID: PMC11430605 DOI: 10.3390/cells13181520] [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: 08/14/2024] [Revised: 09/04/2024] [Accepted: 09/07/2024] [Indexed: 09/28/2024] Open
Abstract
Dystonia is a movement disorder with an estimated prevalence of 1.2% and is characterised by involuntary muscle contractions leading to abnormal postures and pain. Only symptomatic treatments are available with no disease-modifying or curative therapy, in large part due to the limited understanding of the underlying pathophysiology. However, the inherited monogenic forms of dystonia provide an opportunity for the development of disease models to examine these mechanisms. Myoclonus Dystonia, caused by SGCE mutations encoding the ε-sarcoglycan protein, represents one of now >50 monogenic forms. Previous research has implicated the involvement of the basal ganglia-cerebello-thalamo-cortical circuit in dystonia pathogenesis, but further work is needed to understand the specific molecular and cellular mechanisms. Pluripotent stem cell technology enables a patient-derived disease modelling platform harbouring disease-causing mutations. In this review, we discuss the current understanding of the aetiology of Myoclonus Dystonia, recent advances in producing distinct neuronal types from pluripotent stem cells, and their application in modelling Myoclonus Dystonia in vitro. Future research employing pluripotent stem cell-derived cellular models is crucial to elucidate how distinct neuronal types may contribute to dystonia and how disruption to neuronal function can give rise to dystonic disorders.
Collapse
Affiliation(s)
- Zongze Li
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - Laura Abram
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - Kathryn J Peall
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff CF24 4HQ, UK
| |
Collapse
|
4
|
Geng X, Quan Z, Zhang R, Zhu G, Nie Y, Wang S, Rolls E, Zhang J, Hu L. Subthalamic and pallidal oscillations and their couplings reflect dystonia severity and improvements by deep brain stimulation. Neurobiol Dis 2024; 199:106581. [PMID: 38936434 DOI: 10.1016/j.nbd.2024.106581] [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: 04/19/2024] [Revised: 06/05/2024] [Accepted: 06/25/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) targeting the globus pallidus internus (GPi) and subthalamic nucleus (STN) is employed for the treatment of dystonia. Pallidal low-frequency oscillations have been proposed as a pathophysiological marker for dystonia. However, the role of subthalamic oscillations and STN-GPi coupling in relation to dystonia remains unclear. OBJECTIVE We aimed to explore oscillatory activities within the STN-GPi circuit and their correlation with the severity of dystonia and efficacy achieved by DBS treatment. METHODS Local field potentials were recorded simultaneously from the STN and GPi from 13 dystonia patients. Spectral power analysis was conducted for selected frequency bands from both nuclei, while power correlation and the weighted phase lag index were used to evaluate power and phase couplings between these two nuclei, respectively. These features were incorporated into generalized linear models to assess their associations with dystonia severity and DBS efficacy. RESULTS The results revealed that pallidal theta power, subthalamic beta power and subthalamic-pallidal theta phase coupling and beta power coupling all correlated with clinical severity. The model incorporating all selected features predicts empirical clinical scores and DBS-induced improvements, whereas the model relying solely on pallidal theta power failed to demonstrate significant correlations. CONCLUSIONS Beyond pallidal theta power, subthalamic beta power, STN-GPi couplings in theta and beta bands, play a crucial role in understanding the pathophysiological mechanism of dystonia and developing optimal strategies for DBS.
Collapse
Affiliation(s)
- Xinyi Geng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Zhaoyu Quan
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Ruili Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tian-Tan Hospital, Beijing Neurosurgical Institute, Capital Medical University, China
| | - Yingnan Nie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Shouyan Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Edmund Rolls
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Oxford Centre for Computational Neuroscience, University of Oxford, Oxford, UK
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tian-Tan Hospital, Beijing Neurosurgical Institute, Capital Medical University, China.
| | - Li Hu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
5
|
Sumarac S, Spencer KA, Steiner LA, Fearon C, Haniff EA, Kühn AA, Hodaie M, Kalia SK, Lozano A, Fasano A, Hutchison WD, Milosevic L. Interrogating basal ganglia circuit function in people with Parkinson's disease and dystonia. eLife 2024; 12:RP90454. [PMID: 39190604 PMCID: PMC11349293 DOI: 10.7554/elife.90454] [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] [Indexed: 08/29/2024] Open
Abstract
Background The dichotomy between the hypo- versus hyperkinetic nature of Parkinson's disease (PD) and dystonia, respectively, is thought to be reflected in the underlying basal ganglia pathophysiology. In this study, we investigated differences in globus pallidus internus (GPi) neuronal activity, and short- and long-term plasticity of direct pathway projections. Methods Using microelectrode recording data collected from the GPi during deep brain stimulation surgery, we compared neuronal spiketrain features between people with PD and those with dystonia, as well as correlated neuronal features with respective clinical scores. Additionally, we characterized and compared readouts of short- and long-term synaptic plasticity using measures of inhibitory evoked field potentials. Results GPi neurons were slower, bustier, and less regular in dystonia. In PD, symptom severity positively correlated with the power of low-beta frequency spiketrain oscillations. In dystonia, symptom severity negatively correlated with firing rate and positively correlated with neuronal variability and the power of theta frequency spiketrain oscillations. Dystonia was moreover associated with less long-term plasticity and slower synaptic depression. Conclusions We substantiated claims of hyper- versus hypofunctional GPi output in PD versus dystonia, and provided cellular-level validation of the pathological nature of theta and low-beta oscillations in respective disorders. Such circuit changes may be underlain by disease-related differences in plasticity of striato-pallidal synapses. Funding This project was made possible with the financial support of Health Canada through the Canada Brain Research Fund, an innovative partnership between the Government of Canada (through Health Canada) and Brain Canada, and of the Azrieli Foundation (LM), as well as a grant from the Banting Research Foundation in partnership with the Dystonia Medical Research Foundation (LM).
Collapse
Affiliation(s)
- Srdjan Sumarac
- Institute of Biomedical Engineering, University of TorontoTorontoCanada
- Krembil Brain Institute, University Health NetworkTorontoCanada
| | - Kiah A Spencer
- Institute of Biomedical Engineering, University of TorontoTorontoCanada
- Krembil Brain Institute, University Health NetworkTorontoCanada
| | - Leon A Steiner
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin BerlinBerlinGermany
- Berlin Institute of Health (BIH)BerlinGermany
| | - Conor Fearon
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western HospitalTorontoCanada
- Department of Neurology, University of TorontoTorontoCanada
| | - Emily A Haniff
- Krembil Brain Institute, University Health NetworkTorontoCanada
| | - Andrea A Kühn
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin BerlinBerlinGermany
| | - Mojgan Hodaie
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Institute of Medical Sciences, University of TorontoTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
- Department of Surgery, University of TorontoTorontoCanada
| | - Suneil K Kalia
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
- Department of Surgery, University of TorontoTorontoCanada
- KITE, University Health NetworkTorontoCanada
| | - Andres Lozano
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Institute of Medical Sciences, University of TorontoTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
- Department of Surgery, University of TorontoTorontoCanada
| | - Alfonso Fasano
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western HospitalTorontoCanada
- Department of Neurology, University of TorontoTorontoCanada
- Institute of Medical Sciences, University of TorontoTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
| | - William Duncan Hutchison
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
- Department of Surgery, University of TorontoTorontoCanada
- Department of Physiology, University of TorontoTorontoCanada
| | - Luka Milosevic
- Institute of Biomedical Engineering, University of TorontoTorontoCanada
- Krembil Brain Institute, University Health NetworkTorontoCanada
- Institute of Medical Sciences, University of TorontoTorontoCanada
- Center for Advancing Neurotechnological Innovation to Application (CRANIA)TorontoCanada
- KITE, University Health NetworkTorontoCanada
| |
Collapse
|
6
|
Brickwedde M, Anders P, Kühn AA, Lofredi R, Holtkamp M, Kaindl AM, Grent-'t-Jong T, Krüger P, Sander T, Uhlhaas PJ. Applications of OPM-MEG for translational neuroscience: a perspective. Transl Psychiatry 2024; 14:341. [PMID: 39181883 PMCID: PMC11344782 DOI: 10.1038/s41398-024-03047-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 06/25/2024] [Accepted: 08/01/2024] [Indexed: 08/27/2024] Open
Abstract
Magnetoencephalography (MEG) allows the non-invasive measurement of brain activity at millisecond precision combined with localization of the underlying generators. So far, MEG-systems consisted of superconducting quantum interference devices (SQUIDS), which suffer from several limitations. Recent technological advances, however, have enabled the development of novel MEG-systems based on optically pumped magnetometers (OPMs), offering several advantages over conventional SQUID-MEG systems. Considering potential improvements in the measurement of neuronal signals as well as reduced operating costs, the application of OPM-MEG systems for clinical neuroscience and diagnostic settings is highly promising. Here we provide an overview of the current state-of-the art of OPM-MEG and its unique potential for translational neuroscience. First, we discuss the technological features of OPMs and benchmark OPM-MEG against SQUID-MEG and electroencephalography (EEG), followed by a summary of pioneering studies of OPMs in healthy populations. Key applications of OPM-MEG for the investigation of psychiatric and neurological conditions are then reviewed. Specifically, we suggest novel applications of OPM-MEG for the identification of biomarkers and circuit deficits in schizophrenia, dementias, movement disorders, epilepsy, and neurodevelopmental syndromes (autism spectrum disorder and attention deficit hyperactivity disorder). Finally, we give an outlook of OPM-MEG for translational neuroscience with a focus on remaining methodological and technical challenges.
Collapse
Affiliation(s)
- Marion Brickwedde
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Department of Child and Adolescent Psychiatry, 13353, Berlin, Germany.
- Physikalisch-Technische Bundesanstalt, Berlin, Germany.
| | - Paul Anders
- Physikalisch-Technische Bundesanstalt, Berlin, Germany
| | - Andrea A Kühn
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Sektion für Bewegungsstörungen und Neuromodulation, Klinik für Neurologie und Experimentelle Neurologie, 10117, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Humboldt-Universität, Berlin, Germany
- NeuroCure, Exzellenzcluster, Charité-Universitätsmedizin Berlin, Berlin, Germany
- DZNE, German center for neurodegenerative diseases, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Roxanne Lofredi
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Sektion für Bewegungsstörungen und Neuromodulation, Klinik für Neurologie und Experimentelle Neurologie, 10117, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Martin Holtkamp
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Department of Neurology, Epilepsy-Center Berlin-Brandenburg, 10117, Berlin, Germany
| | - Angela M Kaindl
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Department of Pediatric Neurology, 13353, Berlin, Germany
- Charité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Center for Chronically Sick Children, 13353, Berlin, Germany
- Charité- Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Institute of Cell Biology and Neurobiology, 10117, Berlin, Germany
| | - Tineke Grent-'t-Jong
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Department of Child and Adolescent Psychiatry, 13353, Berlin, Germany
- Institute for Neuroscience and Psychology, Glasgow University, Scotland, United Kingdom
| | - Peter Krüger
- Physikalisch-Technische Bundesanstalt, Berlin, Germany
| | | | - Peter J Uhlhaas
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Department of Child and Adolescent Psychiatry, 13353, Berlin, Germany
- Institute for Neuroscience and Psychology, Glasgow University, Scotland, United Kingdom
| |
Collapse
|
7
|
Shukla PD, Burke JF, Kunwar N, Presbrey K, Balakid J, Yaroshinsky M, Louie K, Jacques L, Shirvalkar P, Wang DD. Human Cervical Epidural Spinal Electrogram Topographically Maps Distinct Volitional Movements. J Neurosci 2024; 44:e2258232024. [PMID: 38960719 PMCID: PMC11308355 DOI: 10.1523/jneurosci.2258-23.2024] [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: 11/27/2023] [Revised: 04/22/2024] [Accepted: 06/06/2024] [Indexed: 07/05/2024] Open
Abstract
Little is known about the electrophysiologic activity of the intact human spinal cord during volitional movement. We analyzed epidural spinal recordings from a total of five human subjects of both sexes during a variety of upper extremity movements and found that these spinal epidural electrograms contain spectral information distinguishing periods of movement, rest, and sensation. Cervical epidural electrograms also contained spectral changes time-locked with movement. We found that these changes were primarily associated with increased power in the theta (4-8 Hz) band and feature increased theta phase to gamma amplitude coupling, and this increase in theta power can be used to topographically map distinct upper extremity movements onto the cervical spinal cord in accordance with established myotome maps of the upper extremity. Our findings have implications for the development of neurostimulation protocols and devices focused on motor rehabilitation for the upper extremity, and the approach presented here may facilitate spatiotemporal mapping of naturalistic movements.
Collapse
Affiliation(s)
- Poojan D Shukla
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - John F Burke
- Department of Neurosurgery, University of Oklahoma, Oklahoma City, Oklahoma 73104
| | - Nikhita Kunwar
- School of Medicine, University of California San Diego, San Diego, California 92093
| | - Kara Presbrey
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - Jannine Balakid
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - Maria Yaroshinsky
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - Kenneth Louie
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - Line Jacques
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| | - Prasad Shirvalkar
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
- Department of Anesthesia and Pain Management, University of California, San Francisco, California 94143
- Department of Neurology, University of California, San Francisco, San Francisco, California 94143
| | - Doris D Wang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California 94143
| |
Collapse
|
8
|
Semenova U, Dzhalagoniya I, Gamaleya A, Tomskiy A, Shaikh AG, Sedov A. Pallidal multifractal complexity is a new potential physiomarker of dystonia. Clin Neurophysiol 2024; 162:31-40. [PMID: 38555665 DOI: 10.1016/j.clinph.2024.03.012] [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: 05/30/2023] [Revised: 01/11/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
OBJECTIVE Low-frequency 4-12 Hz pallidal oscillations are being considered as potential physiomarkers for dystonia. We suggest investigating the multifractal properties of pallidal activity as an additional marker. METHODS We employed local field potentials (LFP) recordings from 23 patients with dystonia who were undergoing deep brain stimulation (DBS) surgery to explore the connection between disease severity and the multifractal characteristics of pallidal activity. Furthermore, we performed an analysis of LFP recordings from four patients, following the externalization of DBS lead electrodes, to investigate the impact of DBS and neck muscle vibration on multifractal parameters. RESULTS Greater dystonia severity exhibited a correlation with a narrower multifractal spectrum width but higher multifractal spectral asymmetry. Both GPi DBS and muscle vibration in dystonia patients expanded the multifractal spectrum width while restoring multifractal spectral symmetry. Notably, the threshold peak intensities for an increase in multifractal spectrum width substantially overlapped with the optimal volume of tissue activated. A broader multifractal spectrum during DBS corresponded to more favorable clinical outcomes. CONCLUSIONS Multifractal properties of pallidal neuronal activity serve as indicators of neural dysfunction in dystonia. SIGNIFICANCE These findings suggest the potential of utilizing multifractal characteristics as predictive factors for the DBS outcome in dystonia.
Collapse
Affiliation(s)
- Ulia Semenova
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation.
| | - Indiko Dzhalagoniya
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation
| | - Anna Gamaleya
- N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation
| | - Alexey Tomskiy
- N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation
| | - Aasef G Shaikh
- Departments of Neurology and Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Neurological Institute, University Hospitals, Cleveland, OH, USA; Neurology Service, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA
| | - Alexey Sedov
- N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation
| |
Collapse
|
9
|
Zhang B, Tian H, Yu Y, Zhen X, Zhang L, Yuan Y, Wang L. A localized pallidal physiomarker in Meige syndrome. Front Neurol 2023; 14:1286634. [PMID: 38178893 PMCID: PMC10764606 DOI: 10.3389/fneur.2023.1286634] [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: 08/31/2023] [Accepted: 12/06/2023] [Indexed: 01/06/2024] Open
Abstract
Objectives Oscillatory patterns in local field potentials (LFPs) have been recognized as disease-specific physiomarkers, particularly in the context of Parkinson's disease and cervical dystonia. This characteristic oscillatory feature is currently employed in adaptive deep brain stimulation (aDBS). However, for other types of dystonia, especially Meige syndrome, a distinct physiomarker of this nature is yet to be identified. Methods Local field potentials were recorded during microelectrode-guided deep brain stimulation surgery from 28 patients with primary Meige syndrome. Before surgery, the severity of patients' motor syndrome were assessed using the Burke-Fahn-Marsden Dystonia Rating Scale-Motor (BFMDRS-M). An instantaneous oscillation detection method was employed to identify true narrowband oscillations. Subsequently, a linear mixed effects model was utilized to examine the relationship between oscillatory activities (including power amplitude and burst duration) and symptom severity. Results The focal peaks of "oscillatory activities" detected were predominantly concentrated in the narrow theta band (4-8 Hz), constituting 81.5% of the total detected oscillations in all recording sites near active DBS contacts in the globus pallidus internus (GPi). The linear mixed effects model revealed a positive correlation between the theta burst duration and the severity of preoperative motor impairment, but no correlation with postoperative motor scores. Additionally, there was no significant lateralization effect observed between the left and right GPi. Conclusion Our findings suggest that the exaggerated narrowband theta activity (mainly the burst duration) in the GPi is predictive of dystonia symptom severity and may be used as a physiomarker for optimized DBS target during surgery and adaptive DBS for the treatment of Meige syndrome.
Collapse
Affiliation(s)
- Bo Zhang
- Key Laboratory of Brain Science, Zunyi Medical University, Zunyi, China
- Guizhou Key Laboratory of Anesthesia and Organ Protection, Zunyi Medical University, Zunyi, China
| | - Hong Tian
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Yanbing Yu
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Xueke Zhen
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Li Zhang
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Yue Yuan
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Liang Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
10
|
Averna A, Arlotti M, Rosa M, Chabardès S, Seigneuret E, Priori A, Moro E, Meoni S. Pallidal and Cortical Oscillations in Freely Moving Patients With Dystonia. Neuromodulation 2023; 26:1661-1667. [PMID: 34328685 DOI: 10.1111/ner.13503] [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: 02/07/2021] [Revised: 06/15/2021] [Accepted: 06/21/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To evaluate the correlation between the pallidal local field potentials (LFPs) activity and the cortical oscillations (at rest and during several motor tasks) in two freely moving patients with generalized dystonia and pallidal deep brain stimulation (DBS). MATERIALS AND METHODS Two women with isolated generalized dystonia were selected for bilateral globus pallidus internus (GPi) DBS. After the electrodes' implantation, cortical activity was recorded by a portable electroencephalography (EEG) system simultaneously with GPi LFPs activity, during several motor tasks, gait, and rest condition. Recordings were not performed during stimulation. EEG and LFPs signals relative to each specific movement were coupled together and grouped in neck/upper limbs movements and gait. Power spectral density (PSD), EEG-LFP coherence (through envelope of imaginary coherence operator), and 1/f exponent of LFP-PSD background were calculated. RESULTS In both patients, the pallidal LFPs PSD at rest was characterized by prominent 4-12 Hz activity. Voluntary movements increased activity in the theta (θ) band (4-7 Hz) compared to rest, in both LFPs and EEG signals. Gait induced a drastic raise of θ activity in both patients' pallidal activity, less marked for the EEG signal. A coherence peak within the 8-13 Hz range was found between pallidal LFPs and EEG recorded at rest. CONCLUSIONS Neck/upper limbs voluntary movements and gait suppressed the GPi-LFPs-cortical-EEG coherence and differently impacted both EEG and LFPs low frequency activity. These findings suggest a selective modulation of the cortico-basal ganglia network activity in dystonia.
Collapse
Affiliation(s)
- Alberto Averna
- "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy
| | - Mattia Arlotti
- Clinical Center for Neurotechnologies, Neuromodulation, and Movement Disorders, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Manuela Rosa
- Clinical Center for Neurotechnologies, Neuromodulation, and Movement Disorders, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stéphan Chabardès
- Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Division of Neurosurgery, Grenoble Alpes University Hospital Center, Grenoble, France
| | - Eric Seigneuret
- Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Division of Neurosurgery, Grenoble Alpes University Hospital Center, Grenoble, France
| | - Alberto Priori
- "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy; Neurology, Department of Health Sciences, San Paolo University Hospital, Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo, University of Milan Medical School, Milan, Italy
| | - Elena Moro
- Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Movement Disorders Unit, Division of Neurology, CHU Grenoble Alpes, Grenoble, France
| | - Sara Meoni
- "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy; Université Grenoble Alpes, INSERM, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, Grenoble, France; Movement Disorders Unit, Division of Neurology, CHU Grenoble Alpes, Grenoble, France.
| |
Collapse
|
11
|
Franz D, Richter A, Köhling R. Electrophysiological insights into deep brain stimulation of the network disorder dystonia. Pflugers Arch 2023; 475:1133-1147. [PMID: 37530804 PMCID: PMC10499667 DOI: 10.1007/s00424-023-02845-5] [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: 11/24/2022] [Revised: 06/02/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023]
Abstract
Deep brain stimulation (DBS), a treatment for modulating the abnormal central neuronal circuitry, has become the standard of care nowadays and is sometimes the only option to reduce symptoms of movement disorders such as dystonia. However, on the one hand, there are still open questions regarding the pathomechanisms of dystonia and, on the other hand, the mechanisms of DBS on neuronal circuitry. That lack of knowledge limits the therapeutic effect and makes it hard to predict the outcome of DBS for individual dystonia patients. Finding electrophysiological biomarkers seems to be a promising option to enable adapted individualised DBS treatment. However, biomarker search studies cannot be conducted on patients on a large scale and experimental approaches with animal models of dystonia are needed. In this review, physiological findings of deep brain stimulation studies in humans and animal models of dystonia are summarised and the current pathophysiological concepts of dystonia are discussed.
Collapse
Affiliation(s)
- Denise Franz
- Oscar Langendorff Institute of Physiology, University Medical Center Rostock, Rostock, Germany
| | - Angelika Richter
- Institute of Pharmacology, Pharmacy and Toxicology, University of Leipzig, Leipzig, Germany
| | - Rüdiger Köhling
- Oscar Langendorff Institute of Physiology, University Medical Center Rostock, Rostock, Germany.
| |
Collapse
|
12
|
Hernandez-Martin E, Vidmark JSL, MacLean JA, Sanger TD. What is the effect of benzodiazepines on deep brain activity? A study in pediatric patients with dystonia. Front Neurol 2023; 14:1215572. [PMID: 37638186 PMCID: PMC10457157 DOI: 10.3389/fneur.2023.1215572] [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: 05/02/2023] [Accepted: 08/01/2023] [Indexed: 08/29/2023] Open
Abstract
Introduction Benzodiazepines (BDZs) are commonly used to treat the symptoms of movement disorders; however, deep brain stimulation (DBS) has become a popular treatment for these disorders. Previous studies have investigated the effects of BDZ on cortical activity, no data are currently available on their effects on deep brain regions, nor on these regions' responses to DBS. How the BDZ affects the thalamus and basal ganglia in dystonia patients remains unknown. Methods DBS recordings were performed in ventral oralis anterior/posterior (VoaVop), ventral intermediate (VIM) and ventral anterior (VA) thalamic subnuclei, as well as globus pallidus interna (GPi) and subthalamic nucleus (STN). Evoked potentials (EP) and frequency domain analysis were performed to determine the BDZ effect on neural activities compared to the control condition (off-BDZ). Three male pediatric patients with dystonia treated with BDZ and undergoing depth electrode evaluation for clinical targeting were recruited for the study. Stimulation was administered at 25 and 55 Hz frequencies and recordings were simultaneously gathered through pairs of externalized stereoelectroencephalography (sEEG) electrodes. EP amplitude and the effect of stimulation on the frequency spectrum of activity were compared at baseline and following clinical administration of BDZ. Results Frequency analysis showed consistent reductions in activity during BDZ treatment in all studied brain regions for all patients. Evoked potential (EP) analysis showed increased subthalamic nucleus (STN) EP amplitude and decreased ventral intermediate (VIM) and STN EP amplitude during BDZ treatment. Interpretation BDZs reduce thalamic and basal ganglia activity in multiple regions and alter the efficacy of transmission between these regions. While the mechanism is unknown our results confirm the known widespread effects of this class of medications and identify specific areas within the motor system that are directly affected.
Collapse
Affiliation(s)
- Estefania Hernandez-Martin
- Department of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States
| | - Jessica S. L. Vidmark
- Department of Biomedical Engineering, University of California, Irvine, CA, United States
| | - Jennifer A. MacLean
- Department of Neurology, Children’s Health Orange County (CHOC), Orange, CA, United States
| | - Terence D. Sanger
- Department of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States
- Department of Biomedical Engineering, University of California, Irvine, CA, United States
- Department of Neurology, Children’s Health Orange County (CHOC), Orange, CA, United States
| |
Collapse
|
13
|
Fan Y, Si Z, Wang L, Zhang L. DYT- TOR1A dystonia: an update on pathogenesis and treatment. Front Neurosci 2023; 17:1216929. [PMID: 37638318 PMCID: PMC10448058 DOI: 10.3389/fnins.2023.1216929] [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: 05/04/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
DYT-TOR1A dystonia is a neurological disorder characterized by involuntary muscle contractions and abnormal movements. It is a severe genetic form of dystonia caused by mutations in the TOR1A gene. TorsinA is a member of the AAA + family of adenosine triphosphatases (ATPases) involved in a variety of cellular functions, including protein folding, lipid metabolism, cytoskeletal organization, and nucleocytoskeletal coupling. Almost all patients with TOR1A-related dystonia harbor the same mutation, an in-frame GAG deletion (ΔGAG) in the last of its 5 exons. This recurrent variant results in the deletion of one of two tandem glutamic acid residues (i.e., E302/303) in a protein named torsinA [torsinA(△E)]. Although the mutation is hereditary, not all carriers will develop DYT-TOR1A dystonia, indicating the involvement of other factors in the disease process. The current understanding of the pathophysiology of DYT-TOR1A dystonia involves multiple factors, including abnormal protein folding, signaling between neurons and glial cells, and dysfunction of the protein quality control system. As there are currently no curative treatments for DYT-TOR1A dystonia, progress in research provides insight into its pathogenesis, leading to potential therapeutic and preventative strategies. This review summarizes the latest research advances in the pathogenesis, diagnosis, and treatment of DYT-TOR1A dystonia.
Collapse
Affiliation(s)
- Yuhang Fan
- Department of Neurology, the Second Hospital of Jilin University, Changchun, China
| | - Zhibo Si
- Department of Ophthalmology, the Second Hospital of Jilin University, Changchun, China
| | - Linlin Wang
- Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Lei Zhang
- Department of Neurology, the Second Hospital of Jilin University, Changchun, China
| |
Collapse
|
14
|
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.
Collapse
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
| |
Collapse
|
15
|
Al-Fatly B, Giesler SJ, Oxenford S, Li N, Dembek TA, Achtzehn J, Krause P, Visser-Vandewalle V, Krauss JK, Runge J, Tadic V, Bäumer T, Schnitzler A, Vesper J, Wirths J, Timmermann L, Kühn AA, Koy A. Neuroimaging-based analysis of DBS outcomes in pediatric dystonia: Insights from the GEPESTIM registry. Neuroimage Clin 2023; 39:103449. [PMID: 37321142 PMCID: PMC10275720 DOI: 10.1016/j.nicl.2023.103449] [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: 02/16/2023] [Revised: 05/16/2023] [Accepted: 06/02/2023] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Deep brain stimulation (DBS) is an established treatment in patients of various ages with pharmaco-resistant neurological disorders. Surgical targeting and postoperative programming of DBS depend on the spatial location of the stimulating electrodes in relation to the surrounding anatomical structures, and on electrode connectivity to a specific distribution pattern within brain networks. Such information is usually collected using group-level analysis, which relies on the availability of normative imaging resources (atlases and connectomes). Analysis of DBS data in children with debilitating neurological disorders such as dystonia would benefit from such resources, especially given the developmental differences in neuroimaging data between adults and children. We assembled pediatric normative neuroimaging resources from open-access datasets in order to comply with age-related anatomical and functional differences in pediatric DBS populations. We illustrated their utility in a cohort of children with dystonia treated with pallidal DBS. We aimed to derive a local pallidal sweetspot and explore a connectivity fingerprint associated with pallidal stimulation to exemplify the utility of the assembled imaging resources. METHODS An average pediatric brain template (the MNI brain template 4.5-18.5 years) was implemented and used to localize the DBS electrodes in 20 patients from the GEPESTIM registry cohort. A pediatric subcortical atlas, analogous to the DISTAL atlas known in DBS research, was also employed to highlight the anatomical structures of interest. A local pallidal sweetspot was modeled, and its degree of overlap with stimulation volumes was calculated as a correlate of individual clinical outcomes. Additionally, a pediatric functional connectome of 100 neurotypical subjects from the Consortium for Reliability and Reproducibility was built to allow network-based analyses and decipher a connectivity fingerprint responsible for the clinical improvements in our cohort. RESULTS We successfully implemented a pediatric neuroimaging dataset that will be made available for public use as a tool for DBS analyses. Overlap of stimulation volumes with the identified DBS-sweetspot model correlated significantly with improvement on a local spatial level (R = 0.46, permuted p = 0.019). The functional connectivity fingerprint of DBS outcomes was determined to be a network correlate of therapeutic pallidal stimulation in children with dystonia (R = 0.30, permuted p = 0.003). CONCLUSIONS Local sweetspot and distributed network models provide neuroanatomical substrates for DBS-associated clinical outcomes in dystonia using pediatric neuroimaging surrogate data. Implementation of this pediatric neuroimaging dataset might help to improve the practice and pave the road towards a personalized DBS-neuroimaging analyses in pediatric patients.
Collapse
Affiliation(s)
- Bassam Al-Fatly
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany.
| | - Sabina J Giesler
- Department of Pediatrics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Simon Oxenford
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany
| | - Ningfei Li
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany
| | - Till A Dembek
- Department of Neurology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Johannes Achtzehn
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany
| | - Patricia Krause
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Joachim K Krauss
- Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | - Joachim Runge
- Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | - Vera Tadic
- Department of Neurology, University Medical Center Schleswig Holstein, Lübeck Campus, Lübeck, Germany
| | - Tobias Bäumer
- Institute of System Motor Science, University Medical Center Schleswig Holstein, Lübeck Campus, Lübeck, Germany
| | - Alfons Schnitzler
- Department of Neurology, Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jan Vesper
- Department of Neurology, Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jochen Wirths
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital of Marburg, Marburg, Germany
| | - Andrea A Kühn
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Berlin, Germany.
| | - Anne Koy
- Department of Pediatrics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Center for Rare Diseases, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| |
Collapse
|
16
|
Cajigas I, Morrison MA, San Luciano M, Starr P. Cerebellar Deep Brain Stimulation in Cerebral Palsy: Promising Early Results and a Look Forward to a Larger Clinical Trial. World Neurosurg 2023; 174:223-224. [PMID: 36940804 PMCID: PMC10691838 DOI: 10.1016/j.wneu.2023.03.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Affiliation(s)
- Iahn Cajigas
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Melanie A Morrison
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Marta San Luciano
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Philip Starr
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
17
|
Zhang R, Nie Y, Dai W, Wang S, Geng X. Balance between pallidal neural oscillations correlated with dystonic activity and severity. Neurobiol Dis 2023:106178. [PMID: 37268239 DOI: 10.1016/j.nbd.2023.106178] [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: 03/23/2023] [Revised: 05/14/2023] [Accepted: 05/28/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND AND OBJECTIVE The balance between neural oscillations provides valuable insights into the organisation of neural oscillations related to brain states, which may play important roles in dystonia. We aim to investigate the relationship of the balance in the globus pallidus internus (GPi) with the dystonic severity under different muscular contraction conditions. METHODS Twenty-one patients with dystonia were recruited. All of them underwent bilateral GPi implantation, and local field potentials (LFPs) from the GPi were recorded via simultaneous surface electromyography. The power spectral ratio between neural oscillations was computed as the measure of neural balance. This ratio was calculated under high and low dystonic muscular contraction conditions, and its correlation with the dystonic severity was assessed using clinical scores. RESULTS The power spectral of the pallidal LFPs peaked in the theta and alpha bands. Within participant comparison showed that the power spectral of the theta oscillations significantly increased during high muscle contraction compared with that during low contraction. The power spectral ratios between the theta and alpha, theta and low beta, and theta and high gamma oscillations were significantly higher during high contraction than during low contraction. The total score and motor score were associated with the power spectral ratio between the low and high beta oscillations, which was correlated with the dystonic severity both during high and low contractions. The power spectral ratios between the low beta and low gamma and between the low beta and high gamma oscillations showed a significantly positive correlation with the total score during both high and low contractions; a correlation with the motor scale score was found only during high contraction. Meanwhile, the power spectral ratio between the theta and alpha oscillations during low contraction showed a significantly negative correlation with the total score. The power spectral ratios between the alpha and high beta, alpha and low gamma, and alpha and high gamma oscillations were significantly correlated with the dystonic severity only during low contraction. CONCLUSION The balance between neural oscillations, as quantified by the power ratio between specific frequency bands, differed between the high and low muscular contraction conditions and was correlated with the dystonic severity. The balance between the low and high beta oscillations was correlated with the dystonic severity during both conditions, making this parameter a new possible biomarker for closed-loop deep brain stimulation in patients with dystonia.
Collapse
Affiliation(s)
- Ruili Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Yingnan Nie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Wen Dai
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Shouyan Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Shanghai, China; Shanghai Engineering Research Center of AI & Robotics, Fudan University, Shanghai, China; Engineering Research Center of AI & Robotics, Ministry of Education, Fudan University, Shanghai, China
| | - Xinyi Geng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Zhangjiang Fudan International Innovation Center, Shanghai, China.
| |
Collapse
|
18
|
Matar E, Bhatia K. Dystonia and Parkinson's disease: Do they have a shared biology? INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:347-411. [PMID: 37482398 DOI: 10.1016/bs.irn.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Parkinsonism and dystonia co-occur across many movement disorders and are most encountered in the setting of Parkinson's disease. Here we aim to explore the shared neurobiological underpinnings of dystonia and parkinsonism through the clinical lens of the conditions in which these movement disorders can be seen together. Foregrounding the discussion, we briefly review the circuits of the motor system and the neuroanatomical and neurophysiological aspects of motor control and highlight their relevance to the proposed pathophysiology of parkinsonism and dystonia. Insight into shared biology is then sought from dystonia occurring in PD and other forms of parkinsonism including those disorders in which both can be co-expressed simultaneously. We organize these within a biological schema along with important questions to be addressed in this space.
Collapse
Affiliation(s)
- Elie Matar
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, Queen Square, London, United Kingdom; Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
| | - Kailash Bhatia
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, Queen Square, London, United Kingdom
| |
Collapse
|
19
|
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.
Collapse
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.
| |
Collapse
|
20
|
Marie V. What have we learned about the biology of dystonia from deep brain stimulation? INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 169:481-491. [PMID: 37482401 DOI: 10.1016/bs.irn.2023.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Deep brain stimulation has dramatically changed the management of patients with dystonia, therapeutic approach of dystonia with marked improvement of dystonia and functional disability. However, despite decades of experience and identification of good prognosis factors, prediction of beneficial effect at the individual level is still a challenge. There is inter-individual variability in therapeutic outcome. Genetic factors are identified but subgroups of patients still have relapse or worsening of dystonia in short or long term. Possible "biological factors" underlying such a difference among patients are discussed, including structural or functional differences including altered plasticity.
Collapse
Affiliation(s)
- Vidailhet Marie
- Sorbonne Université, Paris Brain Institute - ICM, Inserm CNRS, Paris, France; Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Department of Neurology, Paris, France.
| |
Collapse
|
21
|
Neumann WJ, Gilron R, Little S, Tinkhauser G. Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation. Mov Disord 2023. [PMID: 37148553 DOI: 10.1002/mds.29415] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 05/08/2023] Open
Abstract
Closed-loop adaptive deep brain stimulation (aDBS) can deliver individualized therapy at an unprecedented temporal precision for neurological disorders. This has the potential to lead to a breakthrough in neurotechnology, but the translation to clinical practice remains a significant challenge. Via bidirectional implantable brain-computer-interfaces that have become commercially available, aDBS can now sense and selectively modulate pathophysiological brain circuit activity. Pilot studies investigating different aDBS control strategies showed promising results, but the short experimental study designs have not yet supported individualized analyses of patient-specific factors in biomarker and therapeutic response dynamics. Notwithstanding the clear theoretical advantages of a patient-tailored approach, these new stimulation possibilities open a vast and mostly unexplored parameter space, leading to practical hurdles in the implementation and development of clinical trials. Therefore, a thorough understanding of the neurophysiological and neurotechnological aspects related to aDBS is crucial to develop evidence-based treatment regimens for clinical practice. Therapeutic success of aDBS will depend on the integrated development of strategies for feedback signal identification, artifact mitigation, signal processing, and control policy adjustment, for precise stimulation delivery tailored to individual patients. The present review introduces the reader to the neurophysiological foundation of aDBS for Parkinson's disease (PD) and other network disorders, explains currently available aDBS control policies, and highlights practical pitfalls and difficulties to be addressed in the upcoming years. Finally, it highlights the importance of interdisciplinary clinical neurotechnological research within and across DBS centers, toward an individualized patient-centered approach to invasive brain stimulation. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Simon Little
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, California, USA
| | - Gerd Tinkhauser
- Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
| |
Collapse
|
22
|
Yin Z, Jiang Y, Merk T, Neumann WJ, Ma R, An Q, Bai Y, Zhao B, Xu Y, Fan H, Zhang Q, Qin G, Zhang N, Ma J, Zhang H, Liu H, Shi L, Yang A, Meng F, Zhu G, Zhang J. Pallidal activities during sleep and sleep decoding in dystonia, Huntington's, and Parkinson's disease. Neurobiol Dis 2023; 182:106143. [PMID: 37146835 DOI: 10.1016/j.nbd.2023.106143] [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: 03/07/2023] [Revised: 04/09/2023] [Accepted: 05/01/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Sleep disturbances are highly prevalent in movement disorders, potentially due to the malfunctioning of basal ganglia structures. Pallidal deep brain stimulation (DBS) has been widely used for multiple movement disorders and been reported to improve sleep. We aimed to investigate the oscillatory pattern of pallidum during sleep and explore whether pallidal activities can be utilized to differentiate sleep stages, which could pave the way for sleep-aware adaptive DBS. METHODS We directly recorded over 500 h of pallidal local field potentials during sleep from 39 subjects with movement disorders (20 dystonia, 8 Huntington's disease, and 11 Parkinson's disease). Pallidal spectrum and cortical-pallidal coherence were computed and compared across sleep stages. Machine learning approaches were utilized to build sleep decoders for different diseases to classify sleep stages through pallidal oscillatory features. Decoding accuracy was further associated with the spatial localization of the pallidum. RESULTS Pallidal power spectra and cortical-pallidal coherence were significantly modulated by sleep-stage transitions in three movement disorders. Differences in sleep-related activities between diseases were identified in non-rapid eye movement (NREM) and REM sleep. Machine learning models using pallidal oscillatory features can decode sleep-wake states with over 90% accuracy. Decoding accuracies were higher in recording sites within the internus-pallidum than the external-pallidum, and can be precited using structural (P < 0.0001) and functional (P < 0.0001) whole-brain neuroimaging connectomics. CONCLUSION Our findings revealed strong sleep-stage dependent distinctions in pallidal oscillations in multiple movement disorders. Pallidal oscillatory features were sufficient for sleep stage decoding. These data may facilitate the development of adaptive DBS systems targeting sleep problems that have broad translational prospects.
Collapse
Affiliation(s)
- Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yin Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Timon Merk
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Campus Mitte, Charite - Universitatsmedizin Berlin, Chariteplatz 1, 10117 Berlin, Germany
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Campus Mitte, Charite - Universitatsmedizin Berlin, Chariteplatz 1, 10117 Berlin, Germany
| | - Ruoyu Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yichen Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Quan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Guofan Qin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Neuropsychiatry, Behavioral Neurology and Sleep Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jun Ma
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Neuropsychiatry, Behavioral Neurology and Sleep Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hua Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huanguang Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lin Shi
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anchao Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fangang Meng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Beijing Key Laboratory of Neurostimulation, Beijing, China.
| |
Collapse
|
23
|
Neumann WJ, Horn A, Kühn AA. Insights and opportunities for deep brain stimulation as a brain circuit intervention. Trends Neurosci 2023; 46:472-487. [PMID: 37105806 DOI: 10.1016/j.tins.2023.03.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/13/2023] [Accepted: 03/17/2023] [Indexed: 04/29/2023]
Abstract
Deep brain stimulation (DBS) is an effective treatment and has provided unique insights into the dynamic circuit architecture of brain disorders. This Review illustrates our current understanding of the pathophysiology of movement disorders and their underlying brain circuits that are modulated with DBS. It proposes principles of pathological network synchronization patterns like beta activity (13-35 Hz) in Parkinson's disease. We describe alterations from microscale including local synaptic activity via modulation of mesoscale hypersynchronization to changes in whole-brain macroscale connectivity. Finally, an outlook on advances for clinical innovations in next-generation neurotechnology is provided: from preoperative connectomic targeting to feedback controlled closed-loop adaptive DBS as individualized network-specific brain circuit interventions.
Collapse
Affiliation(s)
- Wolf-Julian Neumann
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany
| | - Andreas Horn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany; Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA; MGH Neurosurgery & Center for Neurotechnology and Neurorecovery at MGH Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrea A Kühn
- Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany; NeuroCure Clinical Research Centre, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; DZNE, German Center for Degenerative Diseases, Berlin, Germany.
| |
Collapse
|
24
|
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.
Collapse
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.)
| |
Collapse
|
25
|
Wiest C, Morgante F, Torrecillos F, Pogosyan A, He S, Baig F, Bertaina I, Hart MG, Edwards MJ, Pereira EA, Tan H. Subthalamic Nucleus Stimulation-Induced Local Field Potential Changes in Dystonia. Mov Disord 2023; 38:423-434. [PMID: 36562479 PMCID: PMC7614354 DOI: 10.1002/mds.29302] [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: 11/11/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Subthalamic nucleus (STN) stimulation is an effective treatment for Parkinson's disease and induced local field potential (LFP) changes that have been linked with clinical improvement. STN stimulation has also been used in dystonia although the internal globus pallidus is the standard target where theta power has been suggested as a physiomarker for adaptive stimulation. OBJECTIVE We aimed to explore if enhanced theta power was also present in STN and if stimulation-induced spectral changes that were previously reported for Parkinson's disease would occur in dystonia. METHODS We recorded LFPs from 7 patients (12 hemispheres) with isolated craniocervical dystonia whose electrodes were placed such that inferior, middle, and superior contacts covered STN, zona incerta, and thalamus. RESULTS We did not observe prominent theta power in STN at rest. STN stimulation induced similar spectral changes in dystonia as in Parkinson's disease, such as broadband power suppression, evoked resonant neural activity (ERNA), finely-tuned gamma oscillations, and an increase in aperiodic exponents in STN-LFPs. Both power suppression and ERNA localize to STN. Based on this, single-pulse STN stimulation elicits evoked neural activities with largest amplitudes in STN, which are relayed to the zona incerta and thalamus with changing characteristics as the distance from STN increases. CONCLUSIONS Our results show that STN stimulation-induced spectral changes are a nondisease-specific response to high-frequency stimulation, which can serve as placement markers for STN. This broadens the scope of STN stimulation and makes it an option for other disorders with excessive oscillatory peaks in STN. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Christoph Wiest
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Francesca Morgante
- Neurosciences Research CentreMolecular and Clinical Sciences Institute, St. George's, University of LondonLondonUnited Kingdom
| | - Flavie Torrecillos
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Alek Pogosyan
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Shenghong He
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Fahd Baig
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
- Neurosciences Research CentreMolecular and Clinical Sciences Institute, St. George's, University of LondonLondonUnited Kingdom
| | - Ilaria Bertaina
- Neurosciences Research CentreMolecular and Clinical Sciences Institute, St. George's, University of LondonLondonUnited Kingdom
| | - Michael G. Hart
- Neurosciences Research CentreMolecular and Clinical Sciences Institute, St. George's, University of LondonLondonUnited Kingdom
| | - Mark J. Edwards
- Institute of Psychiatry, Psychology and NeurosciencesKing's College LondonLondonUnited Kingdom
| | - Erlick A. Pereira
- Neurosciences Research CentreMolecular and Clinical Sciences Institute, St. George's, University of LondonLondonUnited Kingdom
| | - Huiling Tan
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical NeurosciencesJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| |
Collapse
|
26
|
Lofredi R, Scheller U, Mindermann A, Feldmann LK, Krauss JK, Saryyeva A, Schneider GH, Kühn AA. Pallidal Beta Activity Is Linked to Stimulation-Induced Slowness in Dystonia. Mov Disord 2023. [PMID: 36807626 DOI: 10.1002/mds.29347] [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: 09/08/2022] [Accepted: 01/30/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Pallidal deep brain stimulation (DBS) effectively alleviates symptoms in dystonia patients, but may induce movement slowness as a side-effect. In Parkinson's disease, hypokinetic symptoms have been associated with increased beta oscillations (13-30 Hz). We hypothesize that this pattern is symptom-specific, thus accompanying DBS-induced slowness in dystonia. METHODS In 6 dystonia patients, pallidal rest recordings with a sensing-enabled DBS device were performed and tapping speed was assessed using marker-less pose estimation over 5 time points following cessation of DBS. RESULTS After cessation of pallidal stimulation, movement speed increased over time (P < 0.01). A linear mixed-effects model revealed that pallidal beta activity explained 77% of the variance in movement speed across patients (P = 0.01). CONCLUSIONS The association between beta oscillations and slowness across disease entities provides further evidence for symptom-specific oscillatory patterns in the motor circuit. Our findings might help DBS therapy improvements, as DBS-devices able to adapt to beta oscillations are already commercially available. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Roxanne Lofredi
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health, Berlin, Germany
| | - Ute Scheller
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurology, Georg-August-Universität Göttingen, Göttingen, Germany
| | - Aurika Mindermann
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lucia K Feldmann
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health, Berlin, Germany
| | - Joachim K Krauss
- Department of Neurosurgery, Medizinische Hochschule Hannover, Hannover, Germany
| | - Assel Saryyeva
- Department of Neurosurgery, Medizinische Hochschule Hannover, Hannover, Germany
| | - Gerd-Helge Schneider
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Exzellenzcluster - NeuroCure, Charité - Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
27
|
Deng H, Xiong BT, Wu Y, Wang W. Deep brain stimulation in Lesch-Nyhan syndrome: a systematic review. Neurosurg Rev 2023; 46:40. [PMID: 36694014 DOI: 10.1007/s10143-023-01950-4] [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: 04/09/2022] [Revised: 01/06/2023] [Accepted: 01/20/2023] [Indexed: 01/26/2023]
Abstract
Given the good results of deep brain stimulation (DBS) in the treatment of movement disorders, DBS was initially tried to treat Lesch-Nyhan syndrome (LNS) with the aim to alleviate LNS-related dystonia. Some cases have reported clinical results of DBS in LNS thus far. This systematic review was conducted to comprehensively summarize cases of LNS treated with DBS and evaluate the efficacy and safety of DBS in LNS. Eight publications covering 12 LNS patients were included in this review. DBS improved dystonia of the LNS to varying degrees. All the included cases achieved partial or complete control of self-injurious behavior (SIB). Overall, DBS is a promising treatment for both motor and behavior disorders of LNS patients, but the results reported thus far have varied widely, especially for motor outcomes. The ultimate clinical benefits in LNS patients were still unpredictable. DBS-related complications were rather common, which raised questions about the safety of the procedure in LNS. More research is needed to further clarify the safety and effectiveness of this treatment.
Collapse
Affiliation(s)
- Hao Deng
- Department of Neurosurgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Bo-Tao Xiong
- Department of Neurosurgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Yang Wu
- Department of Neurosurgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Wei Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
| |
Collapse
|
28
|
Manzo N, Leodori G, Ruocco G, Belvisi D, Merchant SHI, Fabbrini G, Berardelli A, Conte A. Cortical mechanisms of sensory trick in cervical dystonia. Neuroimage Clin 2023; 37:103348. [PMID: 36791488 PMCID: PMC9950946 DOI: 10.1016/j.nicl.2023.103348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/11/2023] [Accepted: 02/10/2023] [Indexed: 02/13/2023]
Abstract
Patients with cervical dystonia (CD) often show an improvement in dystonic posture after sensory trick (ST), though the mechanisms underlying ST remain unclear. In this study, we aimed to investigate the effects of ST on cortical activity in patients with CD and to explore the contribution of motor and sensory components to ST mechanisms. To this purpose, we studied 15 CD patients with clinically effective ST, 17 without ST, and 14 healthy controls (HCs) who mimicked the ST. We used electroencephalographic (EEG) recordings and electromyography (EMG) data from bilateral sternocleidomastoid (SCM) muscles. We compared ST-related EEG spectral changes from sensorimotor and posterior parietal areas and EMG power changes between groups. To better understand the contribution of motor and sensory components to ST, we tested EEG and EMG correlates of three different conditions mimicking ST, the first without skin touch ("no touch" condition), the second without voluntary movements ("passive" condition), and finally without arm movements ("examiner touch" condition). Results showed ST-related alpha desynchronization in the sensorimotor cortex and theta desynchronization in the sensorimotor and posterior parietal cortex. Both spectral changes were more significant during maneuver execution in CD patients with ST than in CD patients without ST and HCs who mimicked the ST. Differently, the "no touch", "passive", or "examiner touch" conditions did not show significant differences in EEG or EMG changes determined by ST execution/mimicking between CD patients with or without ST. A higher desynchronization within alpha and theta bands in the sensorimotor and posterior parietal areas correlated with a more significant activity decrease in the contralateral SCM muscle, Findings from this study suggest that ST-related changes in the activity of sensorimotor and posterior parietal areas may restore dystonic posture and that both motor and sensory components contribute to the ST effect.
Collapse
Affiliation(s)
- Nicoletta Manzo
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS San Camillo Hospital, Via Alberoni 70, Venice 30126, Italy
| | - Giorgio Leodori
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS Neuromed, Via Atinense 18, Pozzilli, IS 86077, Italy
| | - Giulia Ruocco
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy
| | - Daniele Belvisi
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS Neuromed, Via Atinense 18, Pozzilli, IS 86077, Italy
| | | | - Giovanni Fabbrini
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS Neuromed, Via Atinense 18, Pozzilli, IS 86077, Italy
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS Neuromed, Via Atinense 18, Pozzilli, IS 86077, Italy.
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell'Università 30, Rome 00185, Italy; IRCCS Neuromed, Via Atinense 18, Pozzilli, IS 86077, Italy
| |
Collapse
|
29
|
Liu B, Mao Z, Cui Z, Ling Z, Xu X, He K, Cui M, Feng Z, Yu X, Zhang Y. Cerebellar gray matter alterations predict deep brain stimulation outcomes in Meige syndrome. Neuroimage Clin 2023; 37:103316. [PMID: 36610311 PMCID: PMC9827385 DOI: 10.1016/j.nicl.2023.103316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/21/2022] [Accepted: 01/02/2023] [Indexed: 01/05/2023]
Abstract
BACKGROUND The physiopathologic mechanism of Meige syndrome (MS) has not been clarified, and neuroimaging studies centering on cerebellar changes in MS are scarce. Moreover, even though deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been recognized as an effective surgical treatment for MS, there has been no reliable biomarker to predict its efficacy. OBJECTIVE To characterize the volumetric alterations of gray matter (GM) in the cerebellum in MS and to identify GM measurements related to a good STN-DBS outcome. METHODS We used voxel-based morphometry and lobule-based morphometry to compare the regional and lobular GM differences in the cerebellum between 47 MS patients and 52 normal human controls (HCs), as well as between 31 DBS responders and 10 DBS non-responders. Both volumetric analyses were achieved using the Spatially Unbiased Infratentorial Toolbox (SUIT). Further, we performed partial correlation analyses to probe the relationship between the cerebellar GM changes and clinical scores. Finally, we plotted the receiver operating characteristic (ROC) curve to select biomarkers for MS diagnosis and DBS outcomes prediction. RESULTS Compared to HCs, MS patients had GM atrophy in lobule Crus I, lobule VI, lobule VIIb, lobule VIIIa, and lobule VIIIb. Compared to DBS responders, DBS non-responders had lower GM volume in the left lobule VIIIb. Moreover, partial correlation analyses revealed a positive relationship between the GM volume of the significant regions/lobules and the symptom improvement rate after DBS surgery. ROC analyses demonstrated that the GM volume of the significant cluster in the left lobule VIIIb could not only distinguish MS patients from HCs but also predict the outcomes of STN-DBS surgery with high accuracy. CONCLUSION MS patients display bilateral GM shrinkage in the cerebellum relative to HCs. Regional GM volume of the left lobule VIIIb can be a reliable biomarker for MS diagnosis and DBS outcomes prediction.
Collapse
Affiliation(s)
- Bin Liu
- Medical School of Chinese PLA, Beijing, PR China; Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Zhiqi Mao
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Zhiqiang Cui
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Zhipei Ling
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Xin Xu
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Kunyu He
- Medical School of Chinese PLA, Beijing, PR China; Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Mengchu Cui
- Medical School of Chinese PLA, Beijing, PR China; Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Zhebin Feng
- Medical School of Chinese PLA, Beijing, PR China; Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China
| | - Xinguang Yu
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China; Neurosurgery Institute, Chinese PLA General Hospital, Beijing, PR China.
| | - Yanyang Zhang
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, PR China; Neurosurgery Institute, Chinese PLA General Hospital, Beijing, PR China.
| |
Collapse
|
30
|
Chen R, Berardelli A, Bhattacharya A, Bologna M, Chen KHS, Fasano A, Helmich RC, Hutchison WD, Kamble N, Kühn AA, Macerollo A, Neumann WJ, Pal PK, Paparella G, Suppa A, Udupa K. Clinical neurophysiology of Parkinson's disease and parkinsonism. Clin Neurophysiol Pract 2022; 7:201-227. [PMID: 35899019 PMCID: PMC9309229 DOI: 10.1016/j.cnp.2022.06.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 06/11/2022] [Accepted: 06/22/2022] [Indexed: 01/01/2023] Open
Abstract
This review is part of the series on the clinical neurophysiology of movement disorders and focuses on Parkinson’s disease and parkinsonism. The pathophysiology of cardinal parkinsonian motor symptoms and myoclonus are reviewed. The recordings from microelectrode and deep brain stimulation electrodes are reported in detail.
This review is part of the series on the clinical neurophysiology of movement disorders. It focuses on Parkinson’s disease and parkinsonism. The topics covered include the pathophysiology of tremor, rigidity and bradykinesia, balance and gait disturbance and myoclonus in Parkinson’s disease. The use of electroencephalography, electromyography, long latency reflexes, cutaneous silent period, studies of cortical excitability with single and paired transcranial magnetic stimulation, studies of plasticity, intraoperative microelectrode recordings and recording of local field potentials from deep brain stimulation, and electrocorticography are also reviewed. In addition to advancing knowledge of pathophysiology, neurophysiological studies can be useful in refining the diagnosis, localization of surgical targets, and help to develop novel therapies for Parkinson’s disease.
Collapse
Affiliation(s)
- Robert Chen
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Alfredo Berardelli
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Amitabh Bhattacharya
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Matteo Bologna
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kai-Hsiang Stanley Chen
- Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan
| | - Alfonso Fasano
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Rick C Helmich
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology and Centre of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - William D Hutchison
- Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Departments of Surgery and Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Andrea A Kühn
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Antonella Macerollo
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom.,The Walton Centre NHS Foundation Trust for Neurology and Neurosurgery, Liverpool, United Kingdom
| | - Wolf-Julian Neumann
- Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - Universitätsmedizin Berlin, Germany
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | | | - Antonio Suppa
- Department of Human Neurosciences, Sapienza University of Rome, Italy.,IRCCS Neuromed Pozzilli (IS), Italy
| | - Kaviraja Udupa
- Department of Neurophysiology National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| |
Collapse
|
31
|
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.
Collapse
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
| |
Collapse
|
32
|
Rauschenberger L, Güttler C, Volkmann J, Kühn AA, Ip CW, Lofredi R. A translational perspective on pathophysiological changes of oscillatory activity in dystonia and parkinsonism. Exp Neurol 2022; 355:114140. [PMID: 35690132 DOI: 10.1016/j.expneurol.2022.114140] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/14/2022] [Accepted: 06/03/2022] [Indexed: 11/19/2022]
Abstract
Intracerebral recordings from movement disorders patients undergoing deep brain stimulation have allowed the identification of pathophysiological patterns in oscillatory activity that correlate with symptom severity. Changes in oscillatory synchrony occur within and across brain areas, matching the classification of movement disorders as network disorders. However, the underlying mechanisms of oscillatory changes are difficult to assess in patients, as experimental interventions are technically limited and ethically problematic. This is why animal models play an important role in neurophysiological research of movement disorders. In this review, we highlight the contributions of translational research to the mechanistic understanding of pathological changes in oscillatory activity, with a focus on parkinsonism and dystonia, while addressing the limitations of current findings and proposing possible future directions.
Collapse
Affiliation(s)
- Lisa Rauschenberger
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany
| | - Christopher Güttler
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Campus Charité Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany
| | - Andrea A Kühn
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Campus Charité Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany; Bernstein Center for Computational Neuroscience, Humboldt-Universität, Berlin, Germany; NeuroCure, Exzellenzcluster, Charité-Universitätsmedizin Berlin, Berlin, Germany; DZNE, German Center for Neurodegenerative Diseases, Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Chi Wang Ip
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany
| | - Roxanne Lofredi
- Department of Neurology, Movement Disorders and Neuromodulation Unit, Campus Charité Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany.
| |
Collapse
|
33
|
Neumann WJ, Köhler RM, Kühn AA. A practical guide to invasive neurophysiology in patients with deep brain stimulation. Clin Neurophysiol 2022; 140:171-180. [PMID: 35659821 DOI: 10.1016/j.clinph.2022.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 04/13/2022] [Accepted: 05/02/2022] [Indexed: 11/03/2022]
Abstract
Deep brain stimulation (DBS) offers the unique opportunity to record human neural population activity as multiunit activity and local field potentials (LFP) directly from the target area in the depth of the brain. This has led to important discoveries through characterization of pathological activity patterns and identification of motor and cognitive correlates of basal ganglia function in patients with movement disorders. These findings have been covered extensively in a large body of literature, but the technical aspects of microelectrode and LFP recordings in DBS patients are rarely reported. This review summarizes the experience from invasive neurophysiology experiments in over 500 DBS cases in the last 20 years in a single centre. It introduces the basics of intraoperative microelectrode recordings, discusses the neurophysiological and technical aspects of LFP signals and gives and outlook on current and next-generation developments - from sensing enabled implantable devices to combined electrocorticography and LFP recordings during adaptive DBS.
Collapse
Affiliation(s)
- 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, Chariteplatz 1, 10117 Berlin, Germany
| | - Richard M Köhler
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Chariteplatz 1, 10117 Berlin, Germany
| | - 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, Chariteplatz 1, 10117 Berlin, Germany.
| |
Collapse
|
34
|
Guerra A, Bologna M. Low-Intensity Transcranial Ultrasound Stimulation: Mechanisms of Action and Rationale for Future Applications in Movement Disorders. Brain Sci 2022; 12:brainsci12050611. [PMID: 35624998 PMCID: PMC9139935 DOI: 10.3390/brainsci12050611] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/29/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023] Open
Abstract
Low-intensity transcranial ultrasound stimulation (TUS) is a novel non-invasive brain stimulation technique that uses acoustic energy to induce changes in neuronal activity. However, although low-intensity TUS is a promising neuromodulation tool, it has been poorly studied as compared to other methods, i.e., transcranial magnetic and electrical stimulation. In this article, we first focus on experimental studies in animals and humans aimed at explaining its mechanisms of action. We then highlight possible applications of TUS in movement disorders, particularly in patients with parkinsonism, dystonia, and tremor. Finally, we highlight the knowledge gaps and possible limitations that currently limit potential TUS applications in movement disorders. Clarifying the potential role of TUS in movement disorders may further promote studies with therapeutic perspectives in this field.
Collapse
Affiliation(s)
| | - Matteo Bologna
- IRCCS Neuromed, 86077 Pozzilli, Italy;
- Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
- Correspondence:
| |
Collapse
|
35
|
Optimal deep brain stimulation sites and networks for cervical vs. generalized dystonia. Proc Natl Acad Sci U S A 2022; 119:e2114985119. [PMID: 35357970 PMCID: PMC9168456 DOI: 10.1073/pnas.2114985119] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
We studied deep brain stimulation effects in two types of dystonia and conclude that different specific connections between the pallidum and thalamus are responsible for optimal treatment effects. Since alternative treatment options for dystonia beyond deep brain stimulation are scarce, our results will be crucial to maximize treatment outcome in this population of patients. Dystonia is a debilitating disease with few treatment options. One effective option is deep brain stimulation (DBS) to the internal pallidum. While cervical and generalized forms of isolated dystonia have been targeted with a common approach to the posterior third of the nucleus, large-scale investigations regarding optimal stimulation sites and potential network effects have not been carried out. Here, we retrospectively studied clinical results following DBS for cervical and generalized dystonia in a multicenter cohort of 80 patients. We model DBS electrode placement based on pre- and postoperative imaging and introduce an approach to map optimal stimulation sites to anatomical space. Second, we investigate which tracts account for optimal clinical improvements, when modulated. Third, we investigate distributed stimulation effects on a whole-brain functional connectome level. Our results show marked differences of optimal stimulation sites that map to the somatotopic structure of the internal pallidum. While modulation of the striatopallidofugal axis of the basal ganglia accounted for optimal treatment of cervical dystonia, modulation of pallidothalamic bundles did so in generalized dystonia. Finally, we show a common multisynaptic network substrate for both phenotypes in the form of connectivity to the cerebellum and somatomotor cortex. Our results suggest a brief divergence of optimal stimulation networks for cervical vs. generalized dystonia within the pallidothalamic loop that merge again on a thalamo-cortical level and share a common whole-brain network.
Collapse
|
36
|
Heiden P, Pieczewski J, Andrade P. Corrigendum: Women in Neuromodulation: Innovative Contributions to Stereotactic and Functional Neurosurgery. Front Hum Neurosci 2022; 16:859587. [PMID: 35370575 PMCID: PMC8970268 DOI: 10.3389/fnhum.2022.859587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/08/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Petra Heiden
- Department of Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
- *Correspondence: Petra Heiden
| | - Julia Pieczewski
- Department of Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Pablo Andrade
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
| |
Collapse
|
37
|
Scarduzio M, Hess EJ, Standaert DG, Eskow Jaunarajs KL. Striatal synaptic dysfunction in dystonia and levodopa-induced dyskinesia. Neurobiol Dis 2022; 166:105650. [DOI: 10.1016/j.nbd.2022.105650] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/22/2022] [Accepted: 01/24/2022] [Indexed: 12/16/2022] Open
|
38
|
Heiden P, Pieczewski J, Andrade P. Women in Neuromodulation: Innovative Contributions to Stereotactic and Functional Neurosurgery. Front Hum Neurosci 2022; 15:756039. [PMID: 35126071 PMCID: PMC8811476 DOI: 10.3389/fnhum.2021.756039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 12/06/2021] [Indexed: 11/15/2022] Open
Abstract
Stereotactic neurosurgery emerged in the mid-20th century following the development of a stereotactic frame by Spiegel and Wycis. Historically women were underrepresented in clinical and academic neurosurgery. There is still a significant deficit of female scientists in this field. This article aims to demonstrate the career and scientific work of some of the most important women who contributed to the development of stereotactic and functional neurosurgery. Exceptional women from all over the world, represented in this review, assisted the evolution of modern stereotactic and functional neurosurgery as neurosurgeons, neuropathologists, neurologists, neurophysiologists and occupational therapists. Fortunately, we could conclude that in the last two decades the number of female researchers has increased significantly.
Collapse
Affiliation(s)
- Petra Heiden
- Department of Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
- *Correspondence: Petra Heiden
| | - Julia Pieczewski
- Department of Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Pablo Andrade
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University of Cologne, Cologne, Germany
| |
Collapse
|
39
|
Lofredi R, Kühn AA. Brain oscillatory dysfunctions in dystonia. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:249-257. [PMID: 35034739 DOI: 10.1016/b978-0-12-819410-2.00026-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Dystonia is a hyperkinetic movement disorder associated with loss of inhibition, abnormal plasticity, dysfunctional sensorimotor integration, and brain oscillatory dysfunctions at cortical and subcortical levels of the central nervous system. Hence, dystonia is considered a network disorder that can, in many cases, be efficiently treated by pallidal deep brain stimulation (DBS). Abnormal oscillatory activity has been identified across the motor circuit of patients with dystonia. Increased low frequency (LF) synchronization in the internal pallidum is the most prominent abnormality. LF oscillations have been associated with the severity of dystonic motor symptoms; they are suppressed by DBS and localized to the clinically most effective stimulation site. Although the origin of these pathologic changes in brain activity needs further clarifications, their characterization will help in adjusting DBS parameters for successful clinical outcome.
Collapse
Affiliation(s)
- Roxanne Lofredi
- Department of Neurology, Movement disorders and Neuromodulation Unit, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea A Kühn
- Department of Neurology, Movement disorders and Neuromodulation Unit, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| |
Collapse
|
40
|
Exploring the connections between basal ganglia and cortex revealed by transcranial magnetic stimulation, evoked potential and deep brain stimulation in dystonia. Eur J Paediatr Neurol 2022; 36:69-77. [PMID: 34922163 DOI: 10.1016/j.ejpn.2021.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 10/30/2021] [Accepted: 12/01/2021] [Indexed: 12/30/2022]
Abstract
We review the findings for motor cortical excitability, plasticity and evoked potentials in dystonia. Plasticity can be induced and assessed in cortical areas by non-invasive brain stimulation techniques such as transcranial magnetic stimulation (TMS) and the invasive technique of deep brain stimulation (DBS), which allows access to deep brain structures. Single-pulse TMS measures have been widely studied in dystonia and consistently showed reduced silent period duration. Paired pulse TMS measures showed reduced short and long interval intracortical inhibition, interhemispheric inhibition, long-latency afferent inhibition and increased intracortical facilitation in dystonia. Repetitive transcranial magnetic stimulation (rTMS) of the premotor cortex improved handwriting with prolongation of the silent period in focal hand dystonia patients. Continuous theta-burst stimulation (cTBS) of the cerebellum or cTBS of the dorsal premotor cortex improved dystonia in some studies. Plasticity induction protocols in dystonia demonstrated excessive motor cortical plasticity with the reduction in cortico-motor topographic specificity. Bilateral DBS of the globus pallidus internus (GPi) improves dystonia, associated pain and functional disability. Local field potentials recordings in dystonia patients suggested that there is increased power in the low-frequency band (4-12 Hz) in the GPi. Cortical evoked potentials at peak latencies of 10 and 25 ms can be recorded with GPi stimulation in dystonia. Plasticity induction protocols based on the principles of spike timing dependent plasticity that involved repeated pairing of GPi-DBS and motor cortical TMS at latencies of cortical evoked potentials induced motor cortical plasticity. These studies expanded our knowledge of the pathophysiology of dystonia and how cortical excitability and plasticity are altered with different treatments such as DBS.
Collapse
|
41
|
da Silva Lapa JD, Godinho FLF, Teixeira MJ, Listik C, Iglesio RF, Duarte KP, Cury RG. Should the Globus Pallidus Targeting Be Refined in Dystonia? J Neurol Surg A Cent Eur Neurosurg 2021; 83:361-367. [PMID: 34808675 DOI: 10.1055/s-0041-1735856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND STUDY AIMS Deep brain stimulation (DBS) of the globus pallidus internus (GPi) is a highly effective therapy for primary generalized and focal dystonias, but therapeutic success is compromised by a nonresponder rate of up to 20%. Variability in electrode placement and in tissue stimulated inside the GPi may explain in part different outcomes among patients. Refinement of the target within the pallidal area could be helpful for surgery planning and clinical outcomes. The objective of this study was to discuss current and potential methodological (somatotopy, neuroimaging, and neurophysiology) aspects that might assist neurosurgical targeting of the GPi, aiming to treat generalized or focal dystonia. METHODS We selected published studies by searching electronic databases and scanning the reference lists for articles that examined the anatomical and electrophysiologic aspects of the GPi in patients with idiopathic/inherited dystonia who underwent functional neurosurgical procedures. RESULTS The sensorimotor sector of the GPi was the best target to treat dystonic symptoms, and was localized at its lateral posteroventral portion. The effective volume of tissue activated (VTA) to treat dystonia had a mean volume of 153 mm3 in the posterior GPi area. Initial tractography studies evaluated the close relation between the electrode localization and pallidothalamic tract to control dystonic symptoms.Regarding the somatotopy, the more ventral, lateral, and posterior areas of the GPi are associated with orofacial and cervical representation. In contrast, the more dorsal, medial, and anterior areas are associated with the lower limbs; between those areas, there is the representation of the upper limb. Excessive pallidal synchronization has a peak at the theta band of 3 to 8 Hz, which might be responsible for generating dystonic symptoms. CONCLUSIONS Somatotopy assessment of posteroventral GPi contributes to target-specific GPi sectors related to segmental body symptoms. Tractography delineates GPi output pathways that might guide electrode implants, and electrophysiology might assist in pointing out areas of excessive theta synchronization. Finally, the identification of oscillatory electrophysiologic features that correlate with symptoms might enable closed-loop approaches in the future.
Collapse
Affiliation(s)
- Jorge Dornellys da Silva Lapa
- Neurosurgery Unit, Fundação de Beneficiência Hospital de Cirurgia, Cirurgia, Aracaju, Sergipe, Brazil.,Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Fábio Luiz Franceschi Godinho
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | | | - Clarice Listik
- Movement Disorders Center, Department of Neurology, School of Medicine, University of Sao Paulo, Sao Paulo, São Paulo, Brazil
| | - Ricardo Ferrareto Iglesio
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Kleber Paiva Duarte
- Division of Functional Neurosurgery, Department of Neurology, University of São Paulo, School of Medicine, Sao Paulo, São Paulo, Brazil
| | - Rubens Gisbert Cury
- Movement Disorders Center, Department of Neurology, School of Medicine, University of Sao Paulo, Sao Paulo, São Paulo, Brazil
| |
Collapse
|
42
|
Knorr S, Musacchio T, Paulat R, Matthies C, Endres H, Wenger N, Harms C, Ip CW. Experimental deep brain stimulation in rodent models of movement disorders. Exp Neurol 2021; 348:113926. [PMID: 34793784 DOI: 10.1016/j.expneurol.2021.113926] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/14/2021] [Accepted: 11/11/2021] [Indexed: 12/21/2022]
Abstract
Deep brain stimulation (DBS) is the preferred treatment for therapy-resistant movement disorders such as dystonia and Parkinson's disease (PD), mostly in advanced disease stages. Although DBS is already in clinical use for ~30 years and has improved patients' quality of life dramatically, there is still limited understanding of the underlying mechanisms of action. Rodent models of PD and dystonia are essential tools to elucidate the mode of action of DBS on behavioral and multiscale neurobiological levels. Advances have been made in identifying DBS effects on the central motor network, neuroprotection and neuroinflammation in DBS studies of PD rodent models. The phenotypic dtsz mutant hamster and the transgenic DYT-TOR1A (ΔETorA) rat proved as valuable models of dystonia for preclinical DBS research. In addition, continuous refinements of rodent DBS technologies are ongoing and have contributed to improvement of experimental quality. We here review the currently existing literature on experimental DBS in PD and dystonia models regarding the choice of models, experimental design, neurobiological readouts, as well as methodological implications. Moreover, we provide an overview of the technical stage of existing DBS devices for use in rodent studies.
Collapse
Affiliation(s)
- Susanne Knorr
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, Würzburg, Germany.
| | - Thomas Musacchio
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, Würzburg, Germany.
| | - Raik Paulat
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.
| | - Cordula Matthies
- Department of Neurosurgery, University Hospital of Würzburg, Josef-Schneider-Straße 11, Würzburg, Germany.
| | - Heinz Endres
- University of Applied Science Würzburg-Schweinfurt, Schweinfurt, Germany.
| | - Nikolaus Wenger
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.
| | - Christoph Harms
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany.
| | - Chi Wang Ip
- Department of Neurology, University Hospital of Würzburg, Josef-Schneider-Straße 11, Würzburg, Germany.
| |
Collapse
|
43
|
Li N, Hollunder B, Baldermann JC, Kibleur A, Treu S, Akram H, Al-Fatly B, Strange BA, Barcia JA, Zrinzo L, Joyce EM, Chabardes S, Visser-Vandewalle V, Polosan M, Kuhn J, Kühn AA, Horn A. A Unified Functional Network Target for Deep Brain Stimulation in Obsessive-Compulsive Disorder. Biol Psychiatry 2021; 90:701-713. [PMID: 34134839 DOI: 10.1016/j.biopsych.2021.04.006] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/26/2021] [Accepted: 04/12/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Multiple deep brain stimulation (DBS) targets have been proposed for treating intractable obsessive-compulsive disorder (OCD). Here, we investigated whether stimulation effects of different target sites would be mediated by one common or several segregated functional brain networks. METHODS First, seeding from active electrodes of 4 OCD patient cohorts (N = 50) receiving DBS to anterior limb of the internal capsule or subthalamic nucleus zones, optimal functional connectivity profiles for maximal Yale-Brown Obsessive Compulsive Scale improvements were calculated and cross-validated in leave-one-cohort-out and leave-one-patient-out designs. Second, we derived optimal target-specific connectivity patterns to determine brain regions mutually predictive of clinical outcome for both targets and others predictive for either target alone. Functional connectivity was defined using resting-state functional magnetic resonance imaging data acquired in 1000 healthy participants. RESULTS While optimal functional connectivity profiles showed both commonalities and differences between target sites, robust cross-predictions of clinical improvements across OCD cohorts and targets suggested a shared network. Connectivity to the anterior cingulate cortex, insula, and precuneus, among other regions, was predictive regardless of stimulation target. Regions with maximal connectivity to these commonly predictive areas included the insula, superior frontal gyrus, anterior cingulate cortex, and anterior thalamus, as well as the original stereotactic targets. CONCLUSIONS Pinpointing the network modulated by DBS for OCD from different target sites identified a set of brain regions to which DBS electrodes associated with optimal outcomes were functionally connected-regardless of target choice. On these grounds, we establish potential brain areas that could prospectively inform additional or alternative neuromodulation targets for obsessive-compulsive disorder.
Collapse
Affiliation(s)
- Ningfei Li
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorders and Neuromodulation Unit, Department of Neurology, Berlin, Germany.
| | - Barbara Hollunder
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorders and Neuromodulation Unit, Department of Neurology, Berlin, Germany; Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany; Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Juan Carlos Baldermann
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Astrid Kibleur
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut des Neurosciences (AK, SC, MP), Grenoble; and OpenMind Innovation (AK), Paris, France; OpenMind Innovation, Paris, France
| | - Svenja Treu
- Laboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
| | - Harith Akram
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust (UCLH), London, United Kingdom
| | - Bassam Al-Fatly
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorders and Neuromodulation Unit, Department of Neurology, Berlin, Germany
| | - Bryan A Strange
- Laboratory for Clinical Neuroscience, Centre for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain
| | - Juan A Barcia
- Neurosurgery Department, Hospital Clínico San Carlos, Universidad Complutense de Madrid, Madrid, Spain
| | - Ludvic Zrinzo
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust (UCLH), London, United Kingdom
| | - Eileen M Joyce
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom; National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust (UCLH), London, United Kingdom
| | - Stephan Chabardes
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut des Neurosciences (AK, SC, MP), Grenoble; and OpenMind Innovation (AK), Paris, France
| | | | - Mircea Polosan
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut des Neurosciences (AK, SC, MP), Grenoble; and OpenMind Innovation (AK), Paris, France
| | - Jens Kuhn
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Johanniter Hospital Oberhausen, Evangelisches Klinikum Niederrhein, Oberhausen, Germany
| | - Andrea A Kühn
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorders and Neuromodulation Unit, Department of Neurology, Berlin, Germany; Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany; Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Horn
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Movement Disorders and Neuromodulation Unit, Department of Neurology, Berlin, Germany; Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
| |
Collapse
|
44
|
Thenaisie Y, Palmisano C, Canessa A, Keulen BJ, Capetian P, Jiménez MC, Bally JF, Manferlotti E, Beccaria L, Zutt R, Courtine G, Bloch J, van der Gaag NA, Hoffmann CF, Moraud EM, Isaias IU, Contarino MF. Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing. J Neural Eng 2021; 18. [PMID: 34388744 DOI: 10.1088/1741-2552/ac1d5b] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 08/13/2021] [Indexed: 12/13/2022]
Abstract
Objective. Technical advances in deep brain stimulation (DBS) are crucial to improve therapeutic efficacy and battery life. We report the potentialities and pitfalls of one of the first commercially available devices capable of recording brain local field potentials (LFPs) from the implanted DBS leads, chronically and during stimulation. The aim was to provide clinicians with well-grounded tips on how to maximize the capabilities of this novel device, both in everyday practice and for research purposes.Approach. We collected clinical and neurophysiological data of the first 20 patients (14 with Parkinson's disease (PD), five with dystonia, one with chronic pain) that received the Percept™ PC in our centres. We also performed tests in a saline bath to validate the recordings quality.Main results. The Percept PC reliably recorded the LFP of the implanted site, wirelessly and in real time. We recorded the most promising clinically useful biomarkers for PD and dystonia (beta and theta oscillations) with and without stimulation. Furthermore, we provide an open-source code to facilitate export and analysis of data. Critical aspects of the system are presently related to contact selection, artefact detection, data loss, and synchronization with other devices.Significance. New technologies will soon allow closed-loop neuromodulation therapies, capable of adapting stimulation based on real-time symptom-specific and task-dependent input signals. However, technical aspects need to be considered to ensure reliable recordings. The critical use by a growing number of DBS experts will alert new users about the currently observed shortcomings and inform on how to overcome them.
Collapse
Affiliation(s)
- Yohann Thenaisie
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Defitech Center for Interventional Neurotherapies (NeuroRestore), University Hospital Lausanne and Ecole Polytechnique Fédérale de Lausanne, Switzerland
| | - Chiara Palmisano
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrea Canessa
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany.,Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy
| | - Bart J Keulen
- Department of Neurology, Haga Teaching Hospital, The Hague, The Netherlands.,Educational Programme, Technical Medicine, Delft University of Technology, Delft; Leiden University Medical Center, Leiden; Erasmus Medical Center, Rotterdam, The Netherlands
| | - Philipp Capetian
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany
| | - Mayte Castro Jiménez
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Julien F Bally
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Elena Manferlotti
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany.,The BioRobotics Institute and Department of Excellence of Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Laura Beccaria
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany
| | - Rodi Zutt
- Department of Neurology, Haga Teaching Hospital, The Hague, The Netherlands
| | - Grégoire Courtine
- Defitech Center for Interventional Neurotherapies (NeuroRestore), University Hospital Lausanne and Ecole Polytechnique Fédérale de Lausanne, Switzerland.,Department of Neurosurgery, Lausanne University Hospital, Lausanne, Switzerland.,Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Jocelyne Bloch
- Defitech Center for Interventional Neurotherapies (NeuroRestore), University Hospital Lausanne and Ecole Polytechnique Fédérale de Lausanne, Switzerland.,Department of Neurosurgery, Lausanne University Hospital, Lausanne, Switzerland
| | - Niels A van der Gaag
- Department of Neurosurgery, Haga Teaching Hospital, The Hague, The Netherlands.,Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Carel F Hoffmann
- Department of Neurosurgery, Haga Teaching Hospital, The Hague, The Netherlands
| | - Eduardo Martin Moraud
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Defitech Center for Interventional Neurotherapies (NeuroRestore), University Hospital Lausanne and Ecole Polytechnique Fédérale de Lausanne, Switzerland
| | - Ioannis U Isaias
- Department of Neurology, University Hospital and Julius Maximilian University, Würzburg, Germany
| | - M Fiorella Contarino
- Department of Neurology, Haga Teaching Hospital, The Hague, The Netherlands.,Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
45
|
Sobesky L, Goede L, Odekerken VJJ, Wang Q, Li N, Neudorfer C, Rajamani N, Al-Fatly B, Reich M, Volkmann J, de Bie RMA, Kühn AA, Horn A. Subthalamic and pallidal deep brain stimulation: are we modulating the same network? Brain 2021; 145:251-262. [PMID: 34453827 DOI: 10.1093/brain/awab258] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/05/2021] [Accepted: 06/21/2021] [Indexed: 11/14/2022] Open
Abstract
The subthalamic nucleus and internal pallidum are main target sites for deep brain stimulation in Parkinson's disease. Multiple trials that investigated subthalamic versus pallidal stimulation were unable to settle on a definitive optimal target between the two. One reason could be that the effect is mediated via a common functional network. To test this hypothesis, we calculated connectivity profiles seeding from deep brain stimulation electrodes in 94 patients that underwent subthalamic and 28 patients with pallidal treatment based on a normative connectome atlas calculated from 1,000 healthy subjects. In each cohort, we calculated connectivity profiles that were associated with optimal clinical improvements. The two maps showed striking similarity and were able to cross-predict outcomes in the respective other cohort (R = 0.37 at p < 0.001; R = 0.34 at p = 0.032). Next, we calculated an agreement map which retained regions common to both target sites. Crucially, this map was able to explain an additional amount of variance in clinical improvements of either cohort when compared to the maps calculated on the two cohorts alone. Finally, we tested profiles and predictive utility of connectivity maps calculated from different motor symptom subscores with a specific focus on bradykinesia and rigidity. While our study is based on retrospective data and indirect connectivity metrics, it may deliver empirical data to support the hypothesis of a largely overlapping network associated with effective deep brain stimulation in Parkinson's disease irrespective of the specific target.
Collapse
Affiliation(s)
- Leon Sobesky
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Lukas Goede
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Vincent J J Odekerken
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Qiang Wang
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Ningfei Li
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Clemens Neudorfer
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Nanditha Rajamani
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Bassam Al-Fatly
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Martin Reich
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Str. 11, 97080 Würzburg, Germany
| | - Rob M A de Bie
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Andrea A Kühn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Andreas Horn
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany
| |
Collapse
|
46
|
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.
Collapse
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.
| |
Collapse
|
47
|
Raghu ALB, Eraifej J, Sarangmat N, Stein J, FitzGerald JJ, Payne S, Aziz TZ, Green AL. Pallido-putaminal connectivity predicts outcomes of deep brain stimulation for cervical dystonia. Brain 2021; 144:3589-3596. [PMID: 34293093 PMCID: PMC8719844 DOI: 10.1093/brain/awab280] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/14/2021] [Accepted: 07/01/2021] [Indexed: 11/13/2022] Open
Abstract
Cervical dystonia is a non-degenerative movement disorder characterized by dysfunction of both motor and sensory cortico-basal ganglia networks. Deep brain stimulation targeted to the internal pallidum is an established treatment, but its specific mechanisms remain elusive, and response to therapy is highly variable. Modulation of key dysfunctional networks via axonal connections is likely important. Fifteen patients underwent preoperative diffusion-MRI acquisitions and then progressed to bilateral deep brain stimulation targeting the posterior internal pallidum. Severity of disease was assessed preoperatively and later at follow-up. Scans were used to generate tractography-derived connectivity estimates between the bilateral regions of stimulation and relevant structures. Connectivity to the putamen correlated with clinical improvement, and a series of cortical connectivity-based putaminal parcellations identified the primary motor putamen as the key node (r = 0.70, P = 0.004). A regression model with this connectivity and electrode coordinates explained 68% of the variance in outcomes (r = 0.83, P = 0.001), with both as significant explanatory variables. We conclude that modulation of the primary motor putamen–posterior internal pallidum limb of the cortico-basal ganglia loop is characteristic of successful deep brain stimulation treatment of cervical dystonia. Preoperative diffusion imaging contains additional information that predicts outcomes, implying utility for patient selection and/or individualized targeting.
Collapse
Affiliation(s)
- Ashley L B Raghu
- Oxford Functional Neurosurgery, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - John Eraifej
- Oxford Functional Neurosurgery, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Neurosurgery, John Radcliffe, Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| | - Nagaraja Sarangmat
- Department of Neurology, John Radcliffe, Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| | - John Stein
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - James J FitzGerald
- Oxford Functional Neurosurgery, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Neurosurgery, John Radcliffe, Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| | - Stephen Payne
- Institute of Biomedical Engineering, Department of Engineering, University of Oxford, Oxford, UK
| | - Tipu Z Aziz
- Oxford Functional Neurosurgery, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Neurosurgery, John Radcliffe, Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| | - Alexander L Green
- Oxford Functional Neurosurgery, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.,Department of Neurosurgery, John Radcliffe, Hospital, Oxford University NHS Foundation Trust, Oxford, UK
| |
Collapse
|
48
|
Sirica D, Hewitt AL, Tarolli CG, Weber MT, Zimmerman C, Santiago A, Wensel A, Mink JW, Lizárraga KJ. Neurophysiological biomarkers to optimize deep brain stimulation in movement disorders. Neurodegener Dis Manag 2021; 11:315-328. [PMID: 34261338 PMCID: PMC8977945 DOI: 10.2217/nmt-2021-0002] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Intraoperative neurophysiological information could increase accuracy of surgical deep brain stimulation (DBS) lead placement. Subsequently, DBS therapy could be optimized by specifically targeting pathological activity. In Parkinson’s disease, local field potentials (LFPs) excessively synchronized in the beta band (13–35 Hz) correlate with akinetic-rigid symptoms and their response to DBS therapy, particularly low beta band suppression (13–20 Hz) and high frequency gamma facilitation (35–250 Hz). In dystonia, LFPs abnormally synchronize in the theta/alpha (4–13 Hz), beta and gamma (60–90 Hz) bands. Phasic dystonic symptoms and their response to DBS correlate with changes in theta/alpha synchronization. In essential tremor, LFPs excessively synchronize in the theta/alpha and beta bands. Adaptive DBS systems will individualize pathological characteristics of neurophysiological signals to automatically deliver therapeutic DBS pulses of specific spatial and temporal parameters.
Collapse
Affiliation(s)
- Daniel Sirica
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA
| | - Angela L Hewitt
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA.,Division of Child Neurology, Department of Neurology, University of Rochester, Rochester, NY 14623, USA
| | - Christopher G Tarolli
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA.,Center for Health & Technology (CHeT), University of Rochester, Rochester, NY 14642, USA
| | - Miriam T Weber
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA
| | - Carol Zimmerman
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA
| | - Aida Santiago
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA
| | - Andrew Wensel
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA.,Department of Neurosurgery, University of Rochester, Rochester, NY 14618, USA
| | - Jonathan W Mink
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA.,Division of Child Neurology, Department of Neurology, University of Rochester, Rochester, NY 14623, USA
| | - Karlo J Lizárraga
- Motor Physiology & Neuromodulation Program, Division of Movement Disorders, Department of Neurology, University of Rochester, Rochester, NY 14618, USA.,Center for Health & Technology (CHeT), University of Rochester, Rochester, NY 14642, USA
| |
Collapse
|
49
|
Bočková M, Rektor I. Electrophysiological biomarkers for deep brain stimulation outcomes in movement disorders: state of the art and future challenges. J Neural Transm (Vienna) 2021; 128:1169-1175. [PMID: 34245367 DOI: 10.1007/s00702-021-02381-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 07/02/2021] [Indexed: 11/25/2022]
Abstract
Several neurological diseases are accompanied by rhythmic oscillatory dysfunctions in various frequency ranges and disturbed cross-frequency relationships on regional, interregional, and whole brain levels. Knowledge of these disease-specific oscillopathies is important mainly in the context of deep brain stimulation (DBS) therapy. Electrophysiological biomarkers have been used as input signals for adaptive DBS (aDBS) as well as preoperative outcome predictors. As movement disorders, particularly Parkinson's disease (PD), are among the most frequent DBS indications, the current research of DBS is the most advanced in the movement disorders field. We reviewed the literature published mainly between 2010 and 2020 to identify the most important findings concerning the current evolution of electrophysiological biomarkers in DBS and to address future challenges for prospective research.
Collapse
Affiliation(s)
- Martina Bočková
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Brno, Czech Republic
- Movement Disorders Center, First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Pekařská 53, 656 91, Brno, Czech Republic
| | - Ivan Rektor
- Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Brno, Czech Republic.
- Movement Disorders Center, First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Pekařská 53, 656 91, Brno, Czech Republic.
| |
Collapse
|
50
|
Heerdegen M, Zwar M, Franz D, Hörnschemeyer MF, Neubert V, Plocksties F, Niemann C, Timmermann D, Bahls C, van Rienen U, Paap M, Perl S, Lüttig A, Richter A, Köhling R. Mechanisms of pallidal deep brain stimulation: Alteration of cortico-striatal synaptic communication in a dystonia animal model. Neurobiol Dis 2021; 154:105341. [PMID: 33753292 DOI: 10.1016/j.nbd.2021.105341] [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: 11/17/2020] [Revised: 03/02/2021] [Accepted: 03/15/2021] [Indexed: 10/21/2022] Open
Abstract
Pallidal deep brain stimulation (DBS) is an important option for patients with severe dystonias, which are thought to arise from a disturbance in striatal control of the globus pallidus internus (GPi). The mechanisms of GPi-DBS are far from understood. Although a disturbance of striatal function is thought to play a key role in dystonia, the effects of DBS on cortico-striatal function are unknown. We hypothesised that DBS, via axonal backfiring, or indirectly via thalamic and cortical coupling, alters striatal function. We tested this hypothesis in the dtsz hamster, an animal model of inherited generalised, paroxysmal dystonia. Hamsters (dystonic and non-dystonic controls) were bilaterally implanted with stimulation electrodes in the GPi. DBS (130 Hz), and sham DBS, were performed in unanaesthetised animals for 3 h. Synaptic cortico-striatal field potentials, as well as miniature excitatory postsynaptic currents (mEPSC) and firing properties of medium spiny striatal neurones were recorded in brain slice preparations obtained immediately after EPN-DBS. The main findings were as follows: a. DBS increased cortico-striatal evoked responses in healthy, but not in dystonic tissue. b. Commensurate with this, DBS increased inhibitory control of these evoked responses in dystonic, and decreased inhibitory control in healthy tissue. c. Further, DBS reduced mEPSC frequency strongly in dystonic, and less prominently in healthy tissue, showing that also a modulation of presynaptic mechanisms is likely involved. d. Cellular properties of medium-spiny neurones remained unchanged. We conclude that DBS leads to dampening of cortico-striatal communication, and restores intrastriatal inhibitory tone.
Collapse
Affiliation(s)
- Marco Heerdegen
- Oscar Langendorff Institute of Physiology, Rostock University Medical Center, Germany
| | - Monique Zwar
- Oscar Langendorff Institute of Physiology, Rostock University Medical Center, Germany
| | - Denise Franz
- Oscar Langendorff Institute of Physiology, Rostock University Medical Center, Germany
| | | | - Valentin Neubert
- Oscar Langendorff Institute of Physiology, Rostock University Medical Center, Germany
| | - Franz Plocksties
- Institute of Applied Microelectronics and Computer Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
| | - Christoph Niemann
- Institute of Applied Microelectronics and Computer Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
| | - Dirk Timmermann
- Institute of Applied Microelectronics and Computer Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
| | - Christian Bahls
- Institute of General Electrical Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany
| | - Ursula van Rienen
- Institute of General Electrical Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Germany; Department Life, Light & Matter, University of Rostock, Germany
| | - Maria Paap
- Institute of Pharmacology, Pharmacy und Toxicology, Faculty of Veterinary Medicine, University of Leipzig, Germany
| | - Stefanie Perl
- Institute of Pharmacology, Pharmacy und Toxicology, Faculty of Veterinary Medicine, University of Leipzig, Germany
| | - Anika Lüttig
- Institute of Pharmacology, Pharmacy und Toxicology, Faculty of Veterinary Medicine, University of Leipzig, Germany
| | - Angelika Richter
- Institute of Pharmacology, Pharmacy und Toxicology, Faculty of Veterinary Medicine, University of Leipzig, Germany
| | - Rüdiger Köhling
- Oscar Langendorff Institute of Physiology, Rostock University Medical Center, Germany; Department of Ageing of Individuals and Society, University of Rostock, Germany.
| |
Collapse
|