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Kou W, Cai H, Cui Y, Zhu J, Li S, Yang C, Chen H, Feng T. Dopaminergic responsiveness and dopaminergic challenge tests of Parkinson's disease: a systematic review and meta-analysis. J Neurol 2025; 272:176. [PMID: 39891751 DOI: 10.1007/s00415-025-12894-8] [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: 10/13/2024] [Revised: 12/28/2024] [Accepted: 01/02/2025] [Indexed: 02/03/2025]
Abstract
BACKGROUND AND OBJECTIVE The assessment and quantification of dopaminergic responsiveness are crucial for the diagnosis and management of Parkinson's disease (PD). This study aimed to summarize and compare motor improvements in patients with PD and atypical parkinsonian syndromes (APS) across three types of dopaminergic challenge tests, as well as evaluate their diagnostic performance. METHODS PubMed, Embase, Cochrane Library, and Web of Science were searched to identify eligible studies reporting the improvement rate of the Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) or MDS-UPDRS-III in dopaminergic challenge tests for PD or APS, or diagnostic outcomes in differential diagnosis between PD and APS. A random-effects model was conducted to pool improvement rates and standardized mean differences (SMDs) in patients with PD or APS during dopaminergic challenge tests. Subgroup analysis and meta-regression were used to investigate the sources of heterogeneity. A bivariate mixed-effects model was employed to evaluate the diagnostic performance of these tests. RESULTS A total of 58 studies (3641 PD and 711 APS) were included. In the acute levodopa challenge test, patients with PD, APS, and multiple system atrophy (MSA) demonstrated pooled UPDRS-III improvement rates of 41.5% [95% confidence interval (CI) 38.5%-44.5%; I2 = 98.8%], 14.7% (95% CI 6.8%-22.7%; I2 = 96.5%), and 6.3% (95% CI - 4.0% to 16.7%), respectively. Subgroup analyses showed the pooled improvement rate of de novo PD patients (25.9%; 95% CI 15.1%-36.7%) was significantly lower than treated PD patients (42.4%; 95% CI 38.6%-46.2%) (p = 0.005), overlapping with APS patients with off-state H-Y stage ≤ 2.5 (21.2%; 95% CI 14.5%-27.9%). PD patients with off-state H-Y stage ≤ 2.5 (35.4%; 95% CI 31.1%-39.7%) or UPDRS-III score ≤ 30 (30.5%; 95% CI 23.4%-35.7%) had significantly lower improvement rate than PD patients with off-state H-Y stage > 2.5 (44.1%; 95% CI 37.0%-51.3%) (p = 0.041) or UPDRS-III scores > 30 (47.0%; 95% CI 43.7%-50.4%) (p < 0.001). The pooled improvement rate in acute levodopa challenge tests of PD with 100 mg levodopa (17.0%; 95% CI 11.3%-22.8%) was significantly lower than that in tests with 200-250 mg levodopa (34.3%; 95% CI 30.6%-38.0%) (p < 0.001). Meta-regression showed the improvement rate of PD was positively correlated with off-state UPDRS-III scores (p = 0.007). In the acute apomorphine challenge test, PD patients showed a pooled UPDRS-III improvement rate of 40.1% (95% CI 36.9%-43.3%). To differentiate between PD and APS, the pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) for the acute levodopa challenge test were 0.81, 0.77, 13.91, and 0.85; for the acute apomorphine challenge test, they were 0.84, 0.85, 29.94, and 0.91; and for chronic levodopa therapy, they were 0.82, 0.71, 11.54, and 0.72. The pooled sensitivity, specificity, DOR, and AUC of the acute levodopa challenge test for distinguishing PD from MSA were 0.82, 0.78, 15.74, and 0.79; for PD vs. PSP, they were 0.77, 0.78, 11.54, and 0.84; and for PD vs. DLB, they were 0.65, 0.58, 2.65, and 0.64. CONCLUSIONS The overall dopaminergic responsiveness is greater in PD patients compared to those with APS. However, there is significant heterogeneity in the pooled motor improvement of dopaminergic responsiveness within PD or APS, with overlap between de novo PD and early-stage APS. All three types of dopaminergic challenge tests demonstrate moderate diagnostic performance in differentiating PD from APS.
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Affiliation(s)
- Wenyi Kou
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huihui Cai
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yusha Cui
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinqiao Zhu
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siming Li
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chen Yang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haibo Chen
- Department of Neurology, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
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Chen Y, Jiang H, Wei Y, Ye S, Jiang J, Mak M, Pang MYC, Gao Q, Huang M. Effects of non-invasive brain stimulation over the supplementary motor area on motor function in Parkinson's disease: A systematic review and meta-analysis. Brain Stimul 2024; 18:1-14. [PMID: 39667490 DOI: 10.1016/j.brs.2024.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 11/03/2024] [Accepted: 12/08/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND Motor dysfunction profoundly affects individuals with Parkinson's disease (PD). Non-invasive brain stimulation (NIBS) targeting the supplementary motor area (SMA), a critical region for movement-related processing, offers a promising approach to enhance motor function for PD. OBJECTIVE This systematic review and meta-analysis aims to evaluate the efficacy of NIBS over the SMA (SMA-NIBS) in alleviating motor symptoms in PD. METHODS We conducted literature searches in MEDLINE, EMBASE, Physiotherapy Evidence Database, Web of Science, the Chinese National Knowledge Infrastructure, and Scopus. The meta-analysis utilized an inverse variance method and a random-effects model. Subgroup analyses were performed based on stimulation types (e.g., TMS and tDCS), stimulation protocols (e.g., facilitatory and inhibitory stimulation), and medication status during stimulation. RESULTS Twenty randomized control trials involving 442 individuals with PD were included. Compared to sham stimulation, SMA-NIBS significantly improved motor function as measured by the motor section of Unified Parkinson's Disease Rating Scale (UPDRS-III) (mean differences [MD]: -3.45, 95 % confidence interval [CI]: -5.65 to -1.26). Subgroup analysis revealed that only TMS (MD: -3.62, 95%CI: -6.15 to -1.08), not tDCS (MD: -2.47, 95 % CI: -5.03 to 0.08), has significant effect on motor function. Both facilitatory (MD: -2.59, 95 % CI: -3.37 to -1.82) and inhibitory stimulation (MD: -4.98, 95 % CI: -9.29 to -0.66) significantly improved the UPDRS-III score. Effectiveness was observed only during ON medication. Statistically significant effects of SMA-NIBS were reported on Freezing of Gait Questionnaire, not timed up and go test and walking speed. CONCLUSION SMA-NIBS is a promising approach to enhance motor function in PD.
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Affiliation(s)
- Yawen Chen
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China; Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Hanhong Jiang
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yixin Wei
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Saiqing Ye
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China; Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Jiaxin Jiang
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Margaret Mak
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Marco Y C Pang
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China
| | - Qiang Gao
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Meizhen Huang
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China.
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Chen Thomsen BL, Vinding MC, Meder D, Marner L, Løkkegaard A, Siebner HR. Functional motor network abnormalities associated with levodopa-induced dyskinesia in Parkinson's disease: A systematic review. Neuroimage Clin 2024; 44:103705. [PMID: 39577332 PMCID: PMC11616552 DOI: 10.1016/j.nicl.2024.103705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 10/10/2024] [Accepted: 11/08/2024] [Indexed: 11/24/2024]
Abstract
Parkinson's disease (PD) can be effectively treated with levodopa and dopamine agonists but leads to levodopa-induced dyskinesia (LID) in most patients in the long run. Various functional brain mapping techniques are used to explore alterations in motor networks associated with LID. This pre-registered review (PROSPERO: CRD42022320830) summarizes the motor network abnormalities reported in functional brain mapping studies of patients with LID. We included studies using functional MRI, EEG, PET, SPECT, or TMS and included at least 10 LID patients. For completeness, we included studies of 5-9 patients with LID in a table. Some of these were also incorporated into the review if other studies used the same method. Thirty studies met our pre-defined criteria. Patients with LID showed stronger motor-related activation and functional connectivity of motor and premotor cortical areas and the putamen after levodopa intake relative to PD patients without LID. Decreased activation was found in the right inferior frontal cortex. TMS studies showed increased cortical excitability and blunted cortical plasticity in patients with LID, while "inhibitory" repetitive TMS of prefrontal motor control areas and cerebellum produced transient anti-dyskinetic effects. Overall, sample sizes were small, the number of studies per mapping modality was limited, and most studies lacked independent replication. The alterations associated with LID encompass changes in functional activity, connectivity, cortical excitability, and plasticity in motor execution and motor control networks. A comprehensive understanding of how LID manifests at the motor network level will guide the future development of stimulation-based network therapies for LID.
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Affiliation(s)
- Birgitte Liang Chen Thomsen
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.
| | - Mikkel C Vinding
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - David Meder
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Annemette Løkkegaard
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark.
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Huang S, Zhang H, Gao X, Su H, Lan J, Bai H, Yue H. Tapered cross-linked ZnO nanowire bundle arrays on three-dimensional graphene foam for highly sensitive electrochemical detection of levodopa. Mikrochim Acta 2024; 191:481. [PMID: 39046557 DOI: 10.1007/s00604-024-06563-2] [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: 06/17/2024] [Accepted: 07/13/2024] [Indexed: 07/25/2024]
Abstract
It is crucial to accurately and rapidly monitor the levodopa (LD) concentration for accurate classification and treatment of dyskinesia in Parkinson's disease. In this paper, 3D graphene foam (GF) with a highly conductive network is obtained by chemical vapor deposition. 3D GF serves as the substrate for hydrothermal in situ growth of tapered cross-linked ZnO nanowire bundle arrays (ZnO NWBAs), enabling the development of a highly sensitive detection platform for LD. The formation mechanism of a tapered cross-linked ZnO nanowire bundle arrays on 3D GF is put forward. The integration of 3D GF and ZnO NWBAs can accelerate the electron transfer rate and increase the contact area with biomolecules, resulting in high electrochemical properties. The electrode composed of ZnO NWBAs on 3D GF exhibits significant sensitivity (1.66 µA·µM-1·cm-2) for LD detection in the concentration range 0-60 µM. The electrode is able to rapidly and specifically determine LD in mixed AA or UA solution. The selectivity mechanism of the electrode is also explained by the bandgap model. Furthermore, the successful detection of LD in serum demonstrates the practicality of the electrode and its great potential for clinical application.
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Affiliation(s)
- Shuo Huang
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, People's Republic of China.
| | - Haopeng Zhang
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
| | - Xin Gao
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
| | - Hang Su
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
| | - Jingming Lan
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
| | - He Bai
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
| | - Hongyan Yue
- School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, People's Republic of China
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Khosropour H, Keramat M, Tasca F, Laiwattanapaisal W. A comprehensive review of the application of Zr-based metal-organic frameworks for electrochemical sensors and biosensors. Mikrochim Acta 2024; 191:449. [PMID: 38967877 DOI: 10.1007/s00604-024-06515-w] [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: 05/14/2024] [Accepted: 06/18/2024] [Indexed: 07/06/2024]
Abstract
A family of inorganic-organic hybrid crystalline materials made up of organic ligands and metal cations or clusters is known as metal-organic frameworks (MOFs). Because of their unique stability, intriguing characteristics, and structural diversity, zirconium-based MOFs (Zr-MOFs) are regarded as one of the most interesting families of MOF materials for real-world applications. Zr-MOFs that have the ligands, metal nodes, and guest molecules enclosed show distinct electrochemical reactions. They can successfully and sensitively identify a wide range of substances, which is important for both environmental preservation and human health. The rational design and synthesis of Zr-MOF electrochemical sensors and biosensors, as well as their applications in the detection of drugs, biomarkers, pesticides, food additives, hydrogen peroxide, and other materials, are the main topics of this comprehensive review. We also touch on the current issues and potential future paths for Zr-MOF electrochemical sensor research.
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Affiliation(s)
- Hossein Khosropour
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
- Centre of Excellence for Biosensors and Bioengineering (CEBB), Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
| | - Mansoureh Keramat
- Centre of Excellence for Biosensors and Bioengineering (CEBB), Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Federico Tasca
- Faculty of Chemistry and Biology, Department of Materials Chemistry, University of Santiago of Chile, Av. Libertador Bernardo ÓHiggins 3363, Estacion Central, 8320000, Santiago, Chile
| | - Wanida Laiwattanapaisal
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
- Centre of Excellence for Biosensors and Bioengineering (CEBB), Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.
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Vucic S, Stanley Chen KH, Kiernan MC, Hallett M, Benninger DH, Di Lazzaro V, Rossini PM, Benussi A, Berardelli A, Currà A, Krieg SM, Lefaucheur JP, Long Lo Y, Macdonell RA, Massimini M, Rosanova M, Picht T, Stinear CM, Paulus W, Ugawa Y, Ziemann U, Chen R. Clinical diagnostic utility of transcranial magnetic stimulation in neurological disorders. Updated report of an IFCN committee. Clin Neurophysiol 2023; 150:131-175. [PMID: 37068329 PMCID: PMC10192339 DOI: 10.1016/j.clinph.2023.03.010] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 03/31/2023]
Abstract
The review provides a comprehensive update (previous report: Chen R, Cros D, Curra A, Di Lazzaro V, Lefaucheur JP, Magistris MR, et al. The clinical diagnostic utility of transcranial magnetic stimulation: report of an IFCN committee. Clin Neurophysiol 2008;119(3):504-32) on clinical diagnostic utility of transcranial magnetic stimulation (TMS) in neurological diseases. Most TMS measures rely on stimulation of motor cortex and recording of motor evoked potentials. Paired-pulse TMS techniques, incorporating conventional amplitude-based and threshold tracking, have established clinical utility in neurodegenerative, movement, episodic (epilepsy, migraines), chronic pain and functional diseases. Cortical hyperexcitability has emerged as a diagnostic aid in amyotrophic lateral sclerosis. Single-pulse TMS measures are of utility in stroke, and myelopathy even in the absence of radiological changes. Short-latency afferent inhibition, related to central cholinergic transmission, is reduced in Alzheimer's disease. The triple stimulation technique (TST) may enhance diagnostic utility of conventional TMS measures to detect upper motor neuron involvement. The recording of motor evoked potentials can be used to perform functional mapping of the motor cortex or in preoperative assessment of eloquent brain regions before surgical resection of brain tumors. TMS exhibits utility in assessing lumbosacral/cervical nerve root function, especially in demyelinating neuropathies, and may be of utility in localizing the site of facial nerve palsies. TMS measures also have high sensitivity in detecting subclinical corticospinal lesions in multiple sclerosis. Abnormalities in central motor conduction time or TST correlate with motor impairment and disability in MS. Cerebellar stimulation may detect lesions in the cerebellum or cerebello-dentato-thalamo-motor cortical pathways. Combining TMS with electroencephalography, provides a novel method to measure parameters altered in neurological disorders, including cortical excitability, effective connectivity, and response complexity.
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Affiliation(s)
- Steve Vucic
- Brain, Nerve Research Center, The University of Sydney, Sydney, Australia.
| | - Kai-Hsiang Stanley Chen
- Department of Neurology, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Matthew C Kiernan
- Brain and Mind Centre, The University of Sydney; and Department of Neurology, Royal Prince Alfred Hospital, Australia
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States
| | - David H Benninger
- Department of Neurology, University Hospital of Lausanne (CHUV), Switzerland
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, University Campus Bio-Medico of Rome, Rome, Italy
| | - Paolo M Rossini
- Department of Neurosci & Neurorehab IRCCS San Raffaele-Rome, Italy
| | - Alberto Benussi
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alfredo Berardelli
- IRCCS Neuromed, Pozzilli; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Antonio Currà
- Department of Medico-Surgical Sciences and Biotechnologies, Alfredo Fiorini Hospital, Sapienza University of Rome, Terracina, LT, Italy
| | - Sandro M Krieg
- Department of Neurosurgery, Technical University Munich, School of Medicine, Klinikum rechts der Isar, Munich, Germany
| | - Jean-Pascal Lefaucheur
- Univ Paris Est Creteil, EA4391, ENT, Créteil, France; Clinical Neurophysiology Unit, Henri Mondor Hospital, AP-HP, Créteil, France
| | - Yew Long Lo
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, and Duke-NUS Medical School, Singapore
| | | | - Marcello Massimini
- Dipartimento di Scienze Biomediche e Cliniche, Università degli Studi di Milano, Milan, Italy; Istituto Di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Mario Rosanova
- Department of Biomedical and Clinical Sciences University of Milan, Milan, Italy
| | - Thomas Picht
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Cluster of Excellence: "Matters of Activity. Image Space Material," Humboldt University, Berlin Simulation and Training Center (BeST), Charité-Universitätsmedizin Berlin, Germany
| | - Cathy M Stinear
- Department of Medicine Waipapa Taumata Rau, University of Auckland, Auckland, Aotearoa, New Zealand
| | - Walter Paulus
- Department of Neurology, Ludwig-Maximilians-Universität München, München, Germany
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, School of Medicine, Fukushima Medical University, Japan
| | - Ulf Ziemann
- Department of Neurology and Stroke, Eberhard Karls University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany; Hertie Institute for Clinical Brain Research, Eberhard Karls University of Tübingen, Otfried-Müller-Straße 27, 72076 Tübingen, Germany
| | - Robert Chen
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital-UHN, Division of Neurology-University of Toronto, Toronto Canada
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Porphyrin zirconium-based MOF dispersed single Pt atom for electrocatalytic sensing levodopa. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Lioumis P, Rosanova M. The role of neuronavigation in TMS-EEG studies: current applications and future perspectives. J Neurosci Methods 2022; 380:109677. [PMID: 35872153 DOI: 10.1016/j.jneumeth.2022.109677] [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: 02/02/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/28/2022]
Abstract
Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) allows measuring non-invasively the electrical response of the human cerebral cortex to a direct perturbation. Complementing TMS-EEG with a structural neuronavigation tool (nTMS-EEG) is key for accurately selecting cortical areas, targeting them, and adjusting the stimulation parameters based on some relevant anatomical priors. This step, together with the employment of visualization tools designed to perform a quality check of TMS-evoked potentials (TEPs) in real-time during acquisition, is key for maximizing the impact of the TMS pulse on the cortex and in ensuring highly reproducible measurements within sessions and across subjects. Moreover, storing stimulation parameters in the neuronavigation system can help in reproducing the stimulation parameters within and across experimental sessions and sharing them across research centers. Finally, the systematic employment of neuronavigation in TMS-EEG studies is also key to standardize measurements in clinical populations in search for reliable diagnostic and prognostic TMS-EEG-based biomarkers for neurological and psychiatric disorders.
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Affiliation(s)
- Pantelis Lioumis
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland; BioMag Laboratory, HUS Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Mario Rosanova
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy
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Pozzi NG, Isaias IU. Adaptive deep brain stimulation: Retuning Parkinson's disease. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:273-284. [PMID: 35034741 DOI: 10.1016/b978-0-12-819410-2.00015-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A brain-machine interface represents a promising therapeutic avenue for the treatment of many neurologic conditions. Deep brain stimulation (DBS) is an invasive, neuro-modulatory tool that can improve different neurologic disorders by delivering electric stimulation to selected brain areas. DBS is particularly successful in advanced Parkinson's disease (PD), where it allows sustained improvement of motor symptoms. However, this approach is still poorly standardized, with variable clinical outcomes. To achieve an optimal therapeutic effect, novel adaptive DBS (aDBS) systems are being developed. These devices operate by adapting stimulation parameters in response to an input signal that can represent symptoms, motor activity, or other behavioral features. Emerging evidence suggests greater efficacy with fewer adverse effects during aDBS compared with conventional DBS. We address this topic by discussing the basics principles of aDBS, reviewing current evidence, and tackling the many challenges posed by aDBS for PD.
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Affiliation(s)
- Nicoló G Pozzi
- Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany
| | - Ioannis U Isaias
- Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany.
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The rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts. J Neurosci Methods 2022; 370:109486. [DOI: 10.1016/j.jneumeth.2022.109486] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/11/2022]
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Effects of Deep Brain Stimulation and Dopaminergic Medication on Excitatory and Inhibitory Spinal Pathways in Parkinson Disease. J Clin Neurophysiol 2021; 38:340-345. [PMID: 32501952 DOI: 10.1097/wnp.0000000000000697] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Abnormal activity within the corticospinal system is believed to contribute to the motor dysfunction associated with Parkinson disease. However, the effect of treatment for parkinsonian motor symptoms on dysfunctional descending input to the motor neuron pool remains unclear. METHODS We recruited nine patients with PD treated with deep brain stimulation and examined the time course of interaction between a conditioning pulse from transcranial magnetic stimulation and the soleus H-reflex. Patients with Parkinson disease were examined under four treatment conditions and compared with 10 age-matched control subjects. RESULTS In healthy controls, transcranial magnetic stimulation conditioning led to early inhibition of the H-reflex (76.2% ± 6.3%) at a condition-test interval of -2 ms. This early inhibition was absent when patients were OFF medication/OFF stimulation (132.5% ± 20.4%; P > 0.05) but was maximally restored toward control levels ON medication/ON stimulation (80.3% ± 7.0%). Of note, early inhibition ON medication/ON stimulation tended to be stronger than when medication (85.4% ± 5.9%) or deep brain stimulation (95.7% ± 9.4%) were applied separately. Late facilitation was observed in controls at condition-test intervals ≥5 ms but was significantly reduced (by 50% to 80% of controls) in Parkinson disease OFF stimulation at condition-test intervals ≥15 ms. The late facilitation was akin to control subjects when patients were ON stimulation. CONCLUSIONS The present pilot study demonstrates that the recruitment of early inhibition and late facilitation is disrupted in untreated Parkinson disease and that medication and deep brain stimulation may act together to normalize supraspinal drive to the motor neuron pool.
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Impaired reach-to-grasp kinematics in parkinsonian patients relates to dopamine-dependent, subthalamic beta bursts. NPJ Parkinsons Dis 2021; 7:53. [PMID: 34188058 PMCID: PMC8242004 DOI: 10.1038/s41531-021-00187-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 03/17/2021] [Indexed: 11/17/2022] Open
Abstract
Excessive beta-band oscillations in the subthalamic nucleus are key neural features of Parkinson’s disease. Yet the distinctive contributions of beta low and high bands, their dependency on striatal dopamine, and their correlates with movement kinematics are unclear. Here, we show that the movement phases of the reach-to-grasp motor task are coded by the subthalamic bursting activity in a maximally-informative beta high range. A strong, three-fold correlation linked beta high range bursts, imbalanced inter-hemispheric striatal dopaminergic tone, and impaired inter-joint movement coordination. These results provide new insight into the neural correlates of motor control in parkinsonian patients, paving the way for more informative use of beta-band features for adaptive deep brain stimulation devices.
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Rawji V, Latorre A, Sharma N, Rothwell JC, Rocchi L. On the Use of TMS to Investigate the Pathophysiology of Neurodegenerative Diseases. Front Neurol 2020; 11:584664. [PMID: 33224098 PMCID: PMC7669623 DOI: 10.3389/fneur.2020.584664] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/05/2020] [Indexed: 12/22/2022] Open
Abstract
Neurodegenerative diseases are a collection of disorders that result in the progressive degeneration and death of neurons. They are clinically heterogenous and can present as deficits in movement, cognition, executive function, memory, visuospatial awareness and language. Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation tool that allows for the assessment of cortical function in vivo. We review how TMS has been used for the investigation of three neurodegenerative diseases that differ in their neuroanatomical axes: (1) Motor cortex-corticospinal tract (motor neuron diseases), (2) Non-motor cortical areas (dementias), and (3) Subcortical structures (parkinsonisms). We also make four recommendations that we hope will benefit the use of TMS in neurodegenerative diseases. Firstly, TMS has traditionally been limited by the lack of an objective output and so has been confined to stimulation of the motor cortex; this limitation can be overcome by the use of concurrent neuroimaging methods such as EEG. Given that neurodegenerative diseases progress over time, TMS measures should aim to track longitudinal changes, especially when the aim of the study is to look at disease progression and symptomatology. The lack of gold-standard diagnostic confirmation undermines the validity of findings in clinical populations. Consequently, diagnostic certainty should be maximized through a variety of methods including multiple, independent clinical assessments, imaging and fluids biomarkers, and post-mortem pathological confirmation where possible. There is great interest in understanding the mechanisms by which symptoms arise in neurodegenerative disorders. However, TMS assessments in patients are usually carried out during resting conditions, when the brain network engaged during these symptoms is not expressed. Rather, a context-appropriate form of TMS would be more suitable in probing the physiology driving clinical symptoms. In all, we hope that the recommendations made here will help to further understand the pathophysiology of neurodegenerative diseases.
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Affiliation(s)
| | | | | | | | - Lorenzo Rocchi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
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Palmisano C, Brandt G, Vissani M, Pozzi NG, Canessa A, Brumberg J, Marotta G, Volkmann J, Mazzoni A, Pezzoli G, Frigo CA, Isaias IU. Gait Initiation in Parkinson's Disease: Impact of Dopamine Depletion and Initial Stance Condition. Front Bioeng Biotechnol 2020; 8:137. [PMID: 32211390 PMCID: PMC7068722 DOI: 10.3389/fbioe.2020.00137] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/11/2020] [Indexed: 01/14/2023] Open
Abstract
Postural instability, in particular at gait initiation (GI), and resulting falls are a major determinant of poor quality of life in subjects with Parkinson’s disease (PD). Still, the contribution of the basal ganglia and dopamine on the feedforward postural control associated with this motor task is poorly known. In addition, the influence of anthropometric measures (AM) and initial stance condition on GI has never been consistently assessed. The biomechanical resultants of anticipatory postural adjustments contributing to GI [imbalance (IMB), unloading (UNL), and stepping phase) were studied in 26 unmedicated subjects with idiopathic PD and in 27 healthy subjects. A subset of 13 patients was analyzed under standardized medication conditions and the striatal dopaminergic innervation was studied in 22 patients using FP-CIT and SPECT. People with PD showed a significant reduction in center of pressure (CoP) displacement and velocity during the IMB phase, reduced first step length and velocity, and decreased velocity and acceleration of the center of mass (CoM) at toe off of the stance foot. All these measurements correlated with the dopaminergic innervation of the putamen and substantially improved with levodopa. These results were not influenced by anthropometric parameters or by the initial stance condition. In contrast, most of the measurements of the UNL phase were influenced by the foot placement and did not correlate with putaminal dopaminergic innervation. Our results suggest a significant role of dopamine and the putamen particularly in the elaboration of the IMB phase of anticipatory postural adjustments and in the execution of the first step. The basal ganglia circuitry may contribute to defining the optimal referent body configuration for a proper initiation of gait and possibly gait adaptation to the environment.
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Affiliation(s)
- Chiara Palmisano
- Department of Neurology, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany.,MBMC Lab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Gregor Brandt
- Department of Neurology, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Matteo Vissani
- Translational Neural Engineering Area, The Biorobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
| | - Nicoló G Pozzi
- Department of Neurology, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Andrea Canessa
- Fondazione Europea di Ricerca Biomedica (FERB Onlus), Cernusco s/N (Milan), Italy
| | - Joachim Brumberg
- Department of Nuclear Medicine, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Giorgio Marotta
- Department of Nuclear Medicine, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, Milan, Italy
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Alberto Mazzoni
- Translational Neural Engineering Area, The Biorobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
| | | | - Carlo A Frigo
- MBMC Lab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Ioannis U Isaias
- Department of Neurology, University Hospital Würzburg and The Julius Maximilian University of Würzburg, Würzburg, Germany
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