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Rizzo R, Wang JWJL, DePold Hohler A, Holsapple JW, Vaou OE, Ivanov PC. Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1168677. [PMID: 37744179 PMCID: PMC10512188 DOI: 10.3389/fnetp.2023.1168677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/09/2023] [Indexed: 09/26/2023]
Abstract
The brain plays central role in regulating physiological systems, including the skeleto-muscular and locomotor system. Studies of cortico-muscular coordination have primarily focused on associations between movement tasks and dynamics of specific brain waves. However, the brain-muscle functional networks of synchronous coordination among brain waves and muscle activity rhythms that underlie locomotor control remain unknown. Here we address the following fundamental questions: what are the structure and dynamics of cortico-muscular networks; whether specific brain waves are main network mediators in locomotor control; how the hierarchical network organization relates to distinct physiological states under autonomic regulation such as wake, sleep, sleep stages; and how network dynamics are altered with neurodegenerative disorders. We study the interactions between all physiologically relevant brain waves across cortical locations with distinct rhythms in leg and chin muscle activity in healthy and Parkinson's disease (PD) subjects. Utilizing Network Physiology framework and time delay stability approach, we find that 1) each physiological state is characterized by a unique network of cortico-muscular interactions with specific hierarchical organization and profile of links strength; 2) particular brain waves play role as main mediators in cortico-muscular interactions during each state; 3) PD leads to muscle-specific breakdown of cortico-muscular networks, altering the sleep-stage stratification pattern in network connectivity and links strength. In healthy subjects cortico-muscular networks exhibit a pronounced stratification with stronger links during wake and light sleep, and weaker links during REM and deep sleep. In contrast, network interactions reorganize in PD with decline in connectivity and links strength during wake and non-REM sleep, and increase during REM, leading to markedly different stratification with gradual decline in network links strength from wake to REM, light and deep sleep. Further, we find that wake and sleep stages are characterized by specific links strength profiles, which are altered with PD, indicating disruption in the synchronous activity and network communication among brain waves and muscle rhythms. Our findings demonstrate the presence of previously unrecognized functional networks and basic principles of brain control of locomotion, with potential clinical implications for novel network-based biomarkers for early detection of Parkinson's and neurodegenerative disorders, movement, and sleep disorders.
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Affiliation(s)
- Rossella Rizzo
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
- Department of Engineering, University of Palermo, Palermo, Italy
| | - Jilin W. J. L. Wang
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
| | - Anna DePold Hohler
- Department of Neurology, Steward St. Elizabeth’s Medical Center, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States
| | - James W. Holsapple
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, United States
| | - Okeanis E. Vaou
- Department of Neurology, Steward St. Elizabeth’s Medical Center, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States
| | - Plamen Ch. Ivanov
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
- Harvard Medical School and Division of Sleep Medicine, Brigham and Women Hospital, Boston, MA, United States
- Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria
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Motor cortex excitability is reduced during freezing of upper limb movement in Parkinson's disease. NPJ Parkinsons Dis 2022; 8:161. [PMID: 36424411 PMCID: PMC9691624 DOI: 10.1038/s41531-022-00420-w] [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: 01/10/2022] [Accepted: 10/26/2022] [Indexed: 11/27/2022] Open
Abstract
Whilst involvement of the motor cortex in the phenomenon of freezing in Parkinson's disease has been previously suggested, few empiric studies have been conducted to date. We investigated motor cortex (M1) excitability in eleven right-handed Parkinson's disease patients (aged 69.7 ± 9.6 years, disease duration 11.2 ± 3.9 years, akinesia-rigidity type) with verified gait freezing using a single-pulse transcranial magnetic stimulation (TMS) repetitive finger tapping paradigm. We delivered single TMS pulses at 120% of the active motor threshold at the 'ascending (contraction)' and 'descending (relaxation)' slope of the tap cycle during i) regular tapping, ii) the transition period of the three taps prior to a freeze and iii) during freezing of upper limb movement. M1 excitability was modulated along the tap cycle with greater motor evoked potentials (MEPs) during 'ascending' than 'descending'. Furthermore, MEPs during the 'ascending' phase of regular tapping, but not during the transition period, were greater compared to the MEPs recorded throughout a freeze. Neither force nor EMG activity 10-110 s before the stimulus predicted MEP size. This piloting study suggests that M1 excitability is reduced during freezing and the transition period preceding a freeze. This supports that M1 excitability is critical to freezing in Parkinson's disease.
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Zang NAM, Schneider M, Weiss D. Cortical mechanisms of movement recovery after freezing in Parkinson's disease. Neurobiol Dis 2022; 174:105871. [PMID: 36152946 DOI: 10.1016/j.nbd.2022.105871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/31/2022] [Accepted: 09/19/2022] [Indexed: 11/25/2022] Open
Abstract
Involuntary interruptions of upper limb movements, referred to as "upper limb freezing" (ULF) belong to the most disabling symptoms of Parkinson's disease (PD). Our study aimed to explore the cortical neuronal mechanisms underlying the reinstation of regular movement after a freezing episode and to control them by voluntary stops. We hypothesized that this movement recovery after a freeze would be accompanied by a decrease of beta power (13-30 Hz) over the primary sensorimotor cortex (electrode "C3"). We recorded a 62-channel surface EEG in 14 PD patients during a repetitive finger tapping task. After performing time-frequency analysis of the EEG data we segmented it to i) regular finger taps, ii) ULF episodes, and iii) voluntary movement stops (VS). We analysed cortical activity during each movement modality and later focused on the last 500 ms of ULF and VS and the first half of the following regular tap. At the beginning of regular finger taps we found decreased alpha power (6-12 Hz) over C3 (P = 0.01). During ULF, there was no significant activity modulation in the alpha and beta frequency bands, whereas beta power increased over C3 during VS (P = 0.0038). When tapping was reinstated after a freeze, we found that 100 ms before movement onset beta power decreased first present over C3, followed by fronto-central electrodes and then reaching the ipsilateral right fronto-temporal electrodes when reinstating regular tapping (P = 0.0256). Initiating movement after a VS showed a different pattern with a decrease of parieto-occipital beta activity 200 ms prior to the first tap (P = 0.044). Our findings suggest that PD freezers make use of different cortical pathways when re-initiating movement after ULF or VS. This includes either fronto-central or parieto-occipital pathways. These findings may help to customize novel neuromodulation strategies to counteract freezing behaviour.
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Affiliation(s)
- Nicolas A M Zang
- Centre for Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Marlieke Schneider
- Centre for Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Daniel Weiss
- Centre for Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
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A DFV, He T, Redoute JM, Lee C, Yuce MR. Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:4909-4912. [PMID: 36086571 DOI: 10.1109/embc48229.2022.9871644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Existing approaches that assess and monitor the severity of Parkinson's Disease (PD) focus on the integration of wearable devices based on inertial sensors (accelerometers, gyroscopes) and electromyographic (EMG) transducers. Nevertheless, some of these sensors are bulky and lack comfortability. This manuscript presents triboelectric nanogenerators (TENGs) as an alternative stretchable sensor solution enabling PD monitoring systems. The prototype has been developed using a triboelectric sensor based on Ecoflex™ and PEDOT:PSS that is placed on the forearm. The movement of the skin above the forearm muscles and tendons correlates with the extension and flexion of fingers and hands. This way, the small gap of 0.5 cm between the polymer layers is displaced, generating voltage due to the triboelectric contact. Signals from preliminary experiments can discriminate different dynamics of emulated tremor and bradykinesia in hands and fingers. A modified version of the TS is integrated with a printed circuit board (PCB) in a single package with signal conditioning and wireless data transmission. The sensor platforms have demonstrated a good sensitivity to PD symptoms like bradykinesia and tremor based on the Unified Parkinson's Disease Rating Scale (MDS:UPDRS).
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Licen T, Rakusa M, Bohnen NI, Manganotti P, Marusic U. Brain Dynamics Underlying Preserved Cycling Ability in Patients With Parkinson's Disease and Freezing of Gait. Front Psychol 2022; 13:847703. [PMID: 35783714 PMCID: PMC9244145 DOI: 10.3389/fpsyg.2022.847703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/20/2022] [Indexed: 11/29/2022] Open
Abstract
Parkinson's disease (PD) is generally associated with abnormally increased beta band oscillations in the cortico-basal ganglia loop during walking. PD patients with freezing of gait (FOG) exhibit a more distinct, prolonged narrow band of beta oscillations that are locked to the initiation of movement at ∼18 Hz. Upon initiation of cycling movements, this oscillation has been reported to be weaker and rather brief in duration. Due to the suppression of the overall beta band power during cycling and its continuous nature of the movement, cycling is considered to be less demanding for cortical networks compared to walking, including reduced need for sensorimotor processing, and thus unimpaired continuous cycling motion. Furthermore, cycling has been considered one of the most efficient non-pharmacological therapies with an influence on the subthalamic nucleus (STN) beta rhythms implicative of the deep brain stimulation effects. In the current review, we provide an overview of the currently available studies and discuss the underlying mechanism of preserved cycling ability in relation to the FOG in PD patients. The mechanisms are presented in detail using a graphical scheme comparing cortical oscillations during walking and cycling in PD.
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Affiliation(s)
- Teja Licen
- Faculty of Medicine, Institute of Sports Medicine Maribor, University of Maribor, Maribor, Slovenia
- Science and Research Centre Koper, Institute for Kinesiology Research, Koper, Slovenia
| | - Martin Rakusa
- Division of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | - Nicolaas I. Bohnen
- Functional Neuroimaging, Cognitive and Mobility Laboratory, Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, United States
- Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Paolo Manganotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Uros Marusic
- Faculty of Medicine, Institute of Sports Medicine Maribor, University of Maribor, Maribor, Slovenia
- Department of Health Sciences, Alma Mater Europaea—ECM, Maribor, Slovenia
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Wagner JR, Schaper M, Hamel W, Westphal M, Gerloff C, Engel AK, Moll CKE, Gulberti A, Pötter-Nerger M. Combined Subthalamic and Nigral Stimulation Modulates Temporal Gait Coordination and Cortical Gait-Network Activity in Parkinson’s Disease. Front Hum Neurosci 2022; 16:812954. [PMID: 35295883 PMCID: PMC8919031 DOI: 10.3389/fnhum.2022.812954] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 01/27/2022] [Indexed: 01/10/2023] Open
Abstract
Background Freezing of gait (FoG) is a disabling burden for Parkinson’s disease (PD) patients with poor response to conventional therapies. Combined deep brain stimulation of the subthalamic nucleus and substantia nigra (STN+SN DBS) moved into focus as a potential therapeutic option to treat the parkinsonian gait disorder and refractory FoG. The mechanisms of action of DBS within the cortical-subcortical-basal ganglia network on gait, particularly at the cortical level, remain unclear. Methods Twelve patients with idiopathic PD and chronically-implanted DBS electrodes were assessed on their regular dopaminergic medication in a standardized stepping in place paradigm. Patients executed the task with DBS switched off (STIM OFF), conventional STN DBS and combined STN+SN DBS and were compared to healthy matched controls. Simultaneous high-density EEG and kinematic measurements were recorded during resting-state, effective stepping, and freezing episodes. Results Clinically, STN+SN DBS was superior to conventional STN DBS in improving temporal stepping variability of the more affected leg. During resting-state and effective stepping, the cortical activity of PD patients in STIM OFF was characterized by excessive over-synchronization in the theta (4–8 Hz), alpha (9–13 Hz), and high-beta (21–30 Hz) band compared to healthy controls. Both active DBS settings similarly decreased resting-state alpha power and reduced pathologically enhanced high-beta activity during resting-state and effective stepping compared to STIM OFF. Freezing episodes during STN DBS and STN+SN DBS showed spectrally and spatially distinct cortical activity patterns when compared to effective stepping. During STN DBS, FoG was associated with an increase in cortical alpha and low-beta activity over central cortical areas, while with STN+SN DBS, an increase in high-beta was prominent over more frontal areas. Conclusions STN+SN DBS improved temporal aspects of parkinsonian gait impairment compared to conventional STN DBS and differentially affected cortical oscillatory patterns during regular locomotion and freezing suggesting a potential modulatory effect on dysfunctional cortical-subcortical communication in PD.
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Affiliation(s)
- Jonas R. Wagner
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Miriam Schaper
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Hamel
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas K. Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian K. E. Moll
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alessandro Gulberti
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Monika Pötter-Nerger
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- *Correspondence: Monika Pötter-Nerger
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Breu MS, Schneider M, Klemt J, Cebi I, Gharabaghi A, Weiss D. People With Parkinson’s Disease and Freezing of Gait Show Abnormal Low Frequency Activity of Antagonistic Leg Muscles. Front Hum Neurosci 2022; 15:733067. [PMID: 35153698 PMCID: PMC8825470 DOI: 10.3389/fnhum.2021.733067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 12/03/2021] [Indexed: 11/25/2022] Open
Abstract
Objective Freezing of gait is detrimental to patients with idiopathic Parkinson’s disease (PD). Its pathophysiology represents a multilevel failure of motor processing in the cortical, subcortical, and brainstem circuits, ultimately resulting in ineffective motor output of the spinal pattern generator. Electrophysiological studies pointed to abnormalities of oscillatory activity in freezers that covered a broad frequency range including the theta, alpha, and beta bands. We explored muscular frequency domain activity with respect to freezing, and used deep brain stimulation to modulate these rhythms thereby evaluating the supraspinal contributions to spinal motor neuron activity. Methods We analyzed 9 PD freezers and 16 healthy controls (HC). We studied the patients after overnight withdrawal of dopaminergic medication with stimulation off, stimulation of the subthalamic nucleus (STN-DBSonly) or the substantia nigra pars reticulate (SNr-DBSonly), respectively. Patients performed a walking paradigm passing a narrow obstacle. We analyzed the frequency-domain spectra of the tibialis anterior (TA) and gastrocnemius (GA) muscles in ‘regular gait’ and during the ‘freezing’ episodes. Results In stimulation off, PD freezers showed increased muscle activity of the alpha and low-beta band compared to HC in both TA and GA. This activity increase was present during straight walking and during the freezes to similar extent. STN- but not SNr-DBS decreased this activity and paralleled the clinical improvement of freezing. Conclusion We found increased muscle activation of the alpha and lower beta band in PD freezers compared to HC, and this was attenuated with STN-DBS. Future studies may use combined recordings of local field potentials, electroencephalography (EEG), and electromyography (EMG) to interrogate the supraspinal circuit mechanisms of the pathological activation pattern of the spinal pattern generator.
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Affiliation(s)
- Maria-Sophie Breu
- Centre of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen, Germany
- *Correspondence: Maria-Sophie Breu,
| | - Marlieke Schneider
- Centre of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen, Germany
| | - Johannes Klemt
- Centre of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen, Germany
| | - Idil Cebi
- Centre of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen, Germany
| | - Alireza Gharabaghi
- Centre for Neurosurgery, Institute for Neuromodulation and Neurotechnology, University of Tübingen, Tübingen, Germany
| | - Daniel Weiss
- Centre of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen, Germany
- Daniel Weiss,
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Martins NIM, Aguiar MMD, Correa CL. Freezing of Upper Limbs in Parkinson’s Disease: A Systematic Review. PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS 2021. [DOI: 10.1080/02703181.2021.1929658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Núbia Isabela Macêdo Martins
- Graduate Program in Physical Education, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Medicine School, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Clynton Lourenço Correa
- Graduate Program in Physical Education, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Faculty of Physical Therapy, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Shirahige L, Berenguer-Rocha M, Mendonça S, Rocha S, Rodrigues MC, Monte-Silva K. Quantitative Electroencephalography Characteristics for Parkinson's Disease: A Systematic Review. JOURNAL OF PARKINSONS DISEASE 2021; 10:455-470. [PMID: 32065804 PMCID: PMC7242841 DOI: 10.3233/jpd-191840] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Individualized treatment guided by biomarkers certainly will play a crucial role in the more effective treatment of various neurological diseases in the near future. Identifying the electroencephalographic biomarkers in the brain of patients with Parkinson's disease (PD) may help in the decision-making process of health professionals regarding the non-invasive brain stimulation (NIBS) protocols. OBJECTIVE To summarize quantitative electroencephalographic (qEEG) characteristics of patients with PD with motor symptoms at rest or during movement to identify potential biomarker associated with motor impairment in PD. METHODS A systematic search was conducted in the databases MEDLINE/PubMed, LILACS/BIREME, CINAHL/EBSCO, Web of Science, and CENTRAL, performed according to PRISMA-statement guidelines. Two independent authors searched for studies that reported qEEG data related to motor outcomes at rest or during movements in patients with PD and compared the data with control healthy group. The studies' methodological quality was examined using the Cochrane Handbook. Studies/sample characteristics, qEEG parameters/analyses, and the studies' results were summarized. Prospero-register: CRD42018085660. RESULTS Nineteen studies (18 cross-sectional/one cross-over) with 312 PD patients and 277 controls, published between 1994-2018, were included for the qualitative analysis. In comparison to healthy controls, our findings suggest a slowing down of the cortical activity in patients with PD due to an increase of slower band waves activity and a decrease of fast band waves at resting and during complex movement execution mainly in the central and frontal cortex. CONCLUSION Slowing down of cortical waves suggest excitatory NIBS for motor impairment in PD. However, qEEG biomarker for motor symptoms of PD cannot be established yet because the studies that related qEEG with motor outcomes presented methodological poor quality.
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Affiliation(s)
- Lívia Shirahige
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil.,Postgraduate Program in Neuropsychiatry and Behavioral Sciences, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Marina Berenguer-Rocha
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Sarah Mendonça
- Postgraduate Program in Neuropsychiatry and Behavioral Sciences, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Sérgio Rocha
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Marcelo Cairrão Rodrigues
- Neurodinamics Laboratory, Department of Physiology, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
| | - Kátia Monte-Silva
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
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Vera Anaya D, Yuce MR. Stretchable triboelectric sensor for measurement of the forearm muscles movements and fingers motion for Parkinson's disease assessment and assisting technologies. ACTA ACUST UNITED AC 2020. [DOI: 10.1002/mds3.10154] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- David Vera Anaya
- Department of Electrical and Computer Systems Engineering Monash University Clayton Vic. Australia
- Biomedical Integrated Circuits and Sensors Laboratory Monash University Clayton Vic. Australia
| | - Mehmet Rasit Yuce
- Department of Electrical and Computer Systems Engineering Monash University Clayton Vic. Australia
- Biomedical Integrated Circuits and Sensors Laboratory Monash University Clayton Vic. Australia
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11
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Marquez JS, Hasan SMS, Siddiquee MR, Luca CC, Mishra VR, Mari Z, Bai O. Neural Correlates of Freezing of Gait in Parkinson's Disease: An Electrophysiology Mini-Review. Front Neurol 2020; 11:571086. [PMID: 33240199 PMCID: PMC7683766 DOI: 10.3389/fneur.2020.571086] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/23/2020] [Indexed: 12/13/2022] Open
Abstract
Freezing of gait (FoG) is a disabling symptom characterized as a brief inability to step or by short steps, which occurs when initiating gait or while turning, affecting over half the population with advanced Parkinson's disease (PD). Several non-competing hypotheses have been proposed to explain the pathophysiology and mechanism behind FoG. Yet, due to the complexity of FoG and the lack of a complete understanding of its mechanism, no clear consensus has been reached on the best treatment options. Moreover, most studies that aim to explore neural biomarkers of FoG have been limited to semi-static or imagined paradigms. One of the biggest unmet needs in the field is the identification of reliable biomarkers that can be construed from real walking scenarios to guide better treatments and validate medical and therapeutic interventions. Advances in neural electrophysiology exploration, including EEG and DBS, will allow for pathophysiology research on more real-to-life scenarios for better FoG biomarker identification and validation. The major aim of this review is to highlight the most up-to-date studies that explain the mechanisms underlying FoG through electrophysiology explorations. The latest methodological approaches used in the neurophysiological study of FoG are summarized, and potential future research directions are discussed.
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Affiliation(s)
- J. Sebastian Marquez
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - S. M. Shafiul Hasan
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - Masudur R. Siddiquee
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - Corneliu C. Luca
- Department of Neurology, University of Miami Hospital, Miami, FL, United States
| | - Virendra R. Mishra
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States
| | - Zoltan Mari
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States
| | - Ou Bai
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
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12
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Weiss D, Schoellmann A, Fox MD, Bohnen NI, Factor SA, Nieuwboer A, Hallett M, Lewis SJG. Freezing of gait: understanding the complexity of an enigmatic phenomenon. Brain 2020; 143:14-30. [PMID: 31647540 DOI: 10.1093/brain/awz314] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/07/2019] [Accepted: 08/16/2019] [Indexed: 12/15/2022] Open
Abstract
Diverse but complementary methodologies are required to uncover the complex determinants and pathophysiology of freezing of gait. To develop future therapeutic avenues, we need a deeper understanding of the disseminated functional-anatomic network and its temporally associated dynamic processes. In this targeted review, we will summarize the latest advances across multiple methodological domains including clinical phenomenology, neurogenetics, multimodal neuroimaging, neurophysiology, and neuromodulation. We found that (i) locomotor network vulnerability is established by structural damage, e.g. from neurodegeneration possibly as result from genetic variability, or to variable degree from brain lesions. This leads to an enhanced network susceptibility, where (ii) modulators can both increase or decrease the threshold to express freezing of gait. Consequent to a threshold decrease, (iii) neuronal integration failure of a multilevel brain network will occur and affect one or numerous nodes and projections of the multilevel network. Finally, (iv) an ultimate pathway might encounter failure of effective motor output and give rise to freezing of gait as clinical endpoint. In conclusion, we derive key questions from this review that challenge this pathophysiological view. We suggest that future research on these questions should lead to improved pathophysiological insight and enhanced therapeutic strategies.
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Affiliation(s)
- Daniel Weiss
- Centre for Neurology, Department for Neurodegenerative Diseases, and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Anna Schoellmann
- Centre for Neurology, Department for Neurodegenerative Diseases, and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Michael D Fox
- Berenson-Allen Center, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical Center, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Nicolaas I Bohnen
- Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA; Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA
| | - Stewart A Factor
- Department of Neurology, Emory School of Medicine, Atlanta, GA, USA
| | - Alice Nieuwboer
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Mark Hallett
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Simon J G Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Australia
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13
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Murakami H, Kinoshita M. Impaired cortical beta-band modulation presages innovation of neuromodulation in Parkinson's disease. Clin Neurophysiol 2020; 131:2484-2485. [PMID: 32800695 DOI: 10.1016/j.clinph.2020.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
Affiliation(s)
| | - Masako Kinoshita
- Department of Neurology, National Hospital Organization Utano National Hospital, Kyoto, Japan.
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Scholten M, Schoellmann A, Ramos-Murguialday A, López-Larraz E, Gharabaghi A, Weiss D. Transitions between repetitive tapping and upper limb freezing show impaired movement-related beta band modulation. Clin Neurophysiol 2020; 131:2499-2507. [PMID: 32684329 DOI: 10.1016/j.clinph.2020.05.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 04/08/2020] [Accepted: 05/23/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Freezing phenomena in idiopathic Parkinson's disease (PD) constitute an important unaddressed therapeutic need. Changes in cortical neurophysiological signatures may precede a single freezing episode and indicate the evolution of abnormal motor network processes. Here, we hypothesize that the movement-related power modulation in the beta-band observed during regular finger tapping, deteriorates in the transition period before upper limb freezing (ULF). METHODS We analyzed a 36-channel EEG of 13 patients with PD during self-paced repetitive tapping of the right index finger. In offline analysis, we compared the transition period immediately before ULF ('transition') with regular tapping regarding movement-related power modulation and interregional phase synchronization. RESULTS From time-frequency analyses, we observed that the tap cycle related beta-band power modulation over the left sensorimotor area was diminished in the transition period before ULF. Furthermore, increased beta-band power was observed in the transition period compared to regular tapping centered over the left centro-parietal and right frontal areas. Phase synchronization between the left fronto-parietal areas and the left sensorimotor area was elevated during transition compared to regular tapping. CONCLUSION Together, these results indicate that diminished beta band power modulation and increased phase synchronization precede ULF. SIGNIFICANCE We demonstrate that pathological cortical motor processing is present in the transition phase from regular tapping to an ULF episode.
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Affiliation(s)
- Marlieke Scholten
- Department of Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research (HIH), University of Tuebingen, Tuebingen, Germany; German Centre of Neurodegenerative Diseases (DZNE), University of Tuebingen, Tuebingen, Germany.
| | - Anna Schoellmann
- Department of Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research (HIH), University of Tuebingen, Tuebingen, Germany; German Centre of Neurodegenerative Diseases (DZNE), University of Tuebingen, Tuebingen, Germany
| | - Ander Ramos-Murguialday
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tuebingen, Tuebingen, Germany; TECNALIA, Health Division, Neurotechnology Laboratory, San Sebastian, Spain
| | - Eduardo López-Larraz
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tuebingen, Tuebingen, Germany
| | - Alireza Gharabaghi
- Division of Functional and Restorative Neurosurgery, Center for Integrative Neuroscience, and Tuebingen NeuroCampus, University of Tuebingen, 72076 Tuebingen, Germany
| | - Daniel Weiss
- Department of Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research (HIH), University of Tuebingen, Tuebingen, Germany; German Centre of Neurodegenerative Diseases (DZNE), University of Tuebingen, Tuebingen, Germany.
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15
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Increased EMG intermuscular coherence and reduced signal complexity in Parkinson's disease. Clin Neurophysiol 2018; 130:259-269. [PMID: 30583273 DOI: 10.1016/j.clinph.2018.10.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 10/18/2018] [Accepted: 10/27/2018] [Indexed: 11/22/2022]
Abstract
OBJECTIVES To investigate differences in surface electromyography (EMG) features in individuals with idiopathic Parkinson's disease (PD) and aged-matched controls. METHODS Surface EMG was recorded during isometric leg extension in PD patients prior to, and after undergoing a locomotor training programme, and in aged-matched controls. Differences in EMG structure were quantified using determinism (%DET), sample entropy (SampEn) and intermuscular coherence. RESULTS %DET was significantly higher, and SampEn significantly lower, in PD patients. Intermuscular coherence was also significantly higher in the PD group in theta, alpha and beta frequency bands. %DET increased and SampEn decreased with increasing Movement-Disorder-Society UPDRS scores, while theta band coherence was significantly correlated with total MDS-UPDRS scores and torque variance. Neither %DET, SampEn nor intermuscular coherence changed in response to training. CONCLUSIONS The differences observed are consistent with increased synchrony among motor units within and across leg muscles in PD. Differences between EMG signals recorded from the PD and control groups persisted post-therapy, after improvements in walking capacity occurred. SIGNIFICANCE These results provide insight into changes in motoneuron activity in PD, demonstrate increased beta band intramuscular coherence in PD for the first time, and support the development of quantitative biomarkers for PD based on advanced surface EMG features.
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16
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Lio G, Thobois S, Ballanger B, Lau B, Boulinguez P. Removing deep brain stimulation artifacts from the electroencephalogram: Issues, recommendations and an open-source toolbox. Clin Neurophysiol 2018; 129:2170-2185. [PMID: 30144660 DOI: 10.1016/j.clinph.2018.07.023] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Revised: 07/23/2018] [Accepted: 07/28/2018] [Indexed: 12/30/2022]
Abstract
A major question for deep brain stimulation (DBS) research is understanding how DBS of one target area modulates activity in different parts of the brain. EEG gives privileged access to brain dynamics, but its use with implanted patients is limited since DBS adds significant high-amplitude electrical artifacts that can completely obscure neural activity measured using EEG. Here, we systematically review and discuss the methods available for removing DBS artifacts. These include simple techniques such as oversampling, antialiasing analog filtering and digital low-pass filtering, which are necessary but typically not sufficient to fully remove DBS artifacts when each is used in isolation. We also cover more advanced methods, including techniques tracking outliers in the frequency-domain, which can be effective, but are rarely used. The reason for that is twofold: First, it requires advanced skills in signal processing since no user friendly tool for removing DBS artifacts is currently available. Second, it involves fine-tuning to avoid over-aggressive filtering. We highlight an open-source toolbox incorporating most artifact removal methods, allowing users to combine different strategies.
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Affiliation(s)
- Guillaume Lio
- Université de Lyon, F-69622 Lyon, France; Université Lyon 1, Villeurbanne, France; CNRS, Centre de Neuroscience Cognitive, Bron, France
| | - Stéphane Thobois
- Université de Lyon, F-69622 Lyon, France; Université Lyon 1, Villeurbanne, France; CNRS, Centre de Neuroscience Cognitive, Bron, France; Hospices civils de Lyon, hôpital neurologique Pierre Wertheimer, Bron, France
| | - Bénédicte Ballanger
- Université de Lyon, F-69622 Lyon, France; Université Lyon 1, Villeurbanne, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Lyon, France
| | - Brian Lau
- Sorbonne Universités, UPMC Univ Paris 06, UMR S 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, F-75013 Paris, France
| | - Philippe Boulinguez
- Université de Lyon, F-69622 Lyon, France; Université Lyon 1, Villeurbanne, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Lyon, France.
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17
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Freezing of gait: Promising avenues for future treatment. Parkinsonism Relat Disord 2018; 52:7-16. [PMID: 29550375 DOI: 10.1016/j.parkreldis.2018.03.009] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 02/19/2018] [Accepted: 03/10/2018] [Indexed: 01/17/2023]
Abstract
Freezing of gait is a devastating symptom of Parkinson's disease and other forms of parkinsonism. It poses a major burden on both patients and their families, as freezing often leads to falls, fall-related injuries and a loss of independence. Treating freezing of gait is difficult for a variety of reasons: it has a paroxysmal and unpredictable nature; a multifaceted pathophysiology, with an interplay between motor elements (disturbed stepping mechanisms) and non-motor elements (cognitive decline, anxiety); and a complex (and likely heterogeneous) underlying neural substrate, involving multiple failing neural networks. In recent years, advances in translational neuroscience have offered new insights into the pathophysiology underlying freezing. Furthermore, the mechanisms behind the effectiveness of available treatments (or lack thereof) are better understood. Driven by these concepts, researchers and clinicians have begun to improve currently available treatment options, and develop new and better treatment methods. Here, we evaluate the range of pharmacological (i.e. closed-looped approaches), surgical (i.e. multi-target and adaptive deep brain and spinal cord stimulation) and behavioural (i.e. biofeedback and cueing on demand) treatment options that are under development, and propose novel avenues that are likely to play a crucial role in the clinical management of freezing of gait in the near future. The outcomes of this review suggest that the successful future management of freezing of gait will require individualized treatments that can be implemented in an on-demand manner in response to imminent freezing. With this review we hope to guide much-needed advances in treating this devastating symptom of Parkinson's disease.
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18
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Weiss D, Massano J. Approaching adaptive control in neurostimulation for Parkinson disease: Autopilot on. Neurology 2018; 90:497-498. [PMID: 29444975 DOI: 10.1212/wnl.0000000000005111] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Daniel Weiss
- From the Centre for Neurology (D.W.) and Hertie Institute for Clinical Brain Research (D.W.), University of Tübingen, Germany; Movement Disorders and Functional Surgery Unit (J.M.), Centro Hospitalar de São João; and Department of Clinical Neurosciences and Mental Health (J.M.), Faculty of Medicine University of Porto, Portugal.
| | - João Massano
- From the Centre for Neurology (D.W.) and Hertie Institute for Clinical Brain Research (D.W.), University of Tübingen, Germany; Movement Disorders and Functional Surgery Unit (J.M.), Centro Hospitalar de São João; and Department of Clinical Neurosciences and Mental Health (J.M.), Faculty of Medicine University of Porto, Portugal
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19
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Scholten M, Govindan RB, Braun C, Bloem BR, Plewnia C, Krüger R, Gharabaghi A, Weiss D. Cortical correlates of susceptibility to upper limb freezing in Parkinson’s disease. Clin Neurophysiol 2016; 127:2386-93. [DOI: 10.1016/j.clinph.2016.01.028] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 01/28/2016] [Accepted: 01/29/2016] [Indexed: 10/22/2022]
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20
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Shine JM. Electrophysiological insights into freezing in Parkinson's disease. Clin Neurophysiol 2016; 127:2334-6. [PMID: 27178847 DOI: 10.1016/j.clinph.2016.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 03/21/2016] [Indexed: 11/18/2022]
Affiliation(s)
- James M Shine
- Department of Psychology, Stanford University, Stanford, CA, USA; Neuroscience Research Australia, The University of New South Wales, Sydney, NSW, Australia.
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