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Barbosa R, Mendonça M, Bastos P, Pita Lobo P, Valadas A, Correia Guedes L, Ferreira JJ, Rosa MM, Matias R, Coelho M. 3D Kinematics Quantifies Gait Response to Levodopa earlier and to a more Comprehensive Extent than the MDS-Unified Parkinson's Disease Rating Scale in Patients with Motor Complications. Mov Disord Clin Pract 2024; 11:795-807. [PMID: 38610081 PMCID: PMC11233852 DOI: 10.1002/mdc3.14016] [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: 09/17/2023] [Revised: 01/20/2024] [Accepted: 02/13/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Quantitative 3D movement analysis using inertial measurement units (IMUs) allows for a more detailed characterization of motor patterns than clinical assessment alone. It is essential to discriminate between gait features that are responsive or unresponsive to current therapies to better understand the underlying pathophysiological basis and identify potential therapeutic strategies. OBJECTIVES This study aims to characterize the responsiveness and temporal evolution of different gait subcomponents in Parkinson's disease (PD) patients in their OFF and various ON states following levodopa administration, utilizing both wearable sensors and the gold-standard MDS-UPDRS motor part III. METHODS Seventeen PD patients were assessed while wearing a full-body set of 15 IMUs in their OFF state and at 20-minute intervals following the administration of a supra-threshold levodopa dose. Gait was reconstructed using a biomechanical model of the human body to quantify how each feature was modulated. Comparisons with non-PD control subjects were conducted in parallel. RESULTS Significant motor changes were observed in both the upper and lower limbs according to the MDS-UPDRS III, 40 minutes after levodopa intake. IMU-assisted 3D kinematics detected significant motor alterations as early as 20 minutes after levodopa administration, particularly in upper limbs metrics. Although all "pace-domain" gait features showed significant improvement in the Best-ON state, most rhythmicity, asymmetry, and variability features did not. CONCLUSION IMUs are capable of detecting motor alterations earlier and in a more comprehensive manner than the MDS-UPDRS III. The upper limbs respond more rapidly to levodopa, possibly reflecting distinct thresholds to levodopa across striatal regions.
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Affiliation(s)
- Raquel Barbosa
- Neurology DeparmentCentre Hospitalier Universitaire ToulouseToulouseFrance
- Nova Medical School, Faculdade de Ciências MedicasUniversidade Nova de LisboaLisbonPortugal
| | - Marcelo Mendonça
- Nova Medical School, Faculdade de Ciências MedicasUniversidade Nova de LisboaLisbonPortugal
- Champalimaud Research and Clinical Centre, Champalimaud Centre for the UnknownLisbonPortugal
| | - Paulo Bastos
- Neurology DeparmentCentre Hospitalier Universitaire ToulouseToulouseFrance
- Nova Medical School, Faculdade de Ciências MedicasUniversidade Nova de LisboaLisbonPortugal
| | - Patrícia Pita Lobo
- Department of Neurosciences and Mental HealthNeurology Hospital Santa Maria, CHLUNLisbonPortugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
| | - Anabela Valadas
- Department of Neurosciences and Mental HealthNeurology Hospital Santa Maria, CHLUNLisbonPortugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
| | - Leonor Correia Guedes
- Department of Neurosciences and Mental HealthNeurology Hospital Santa Maria, CHLUNLisbonPortugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
| | - Joaquim J. Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de MedicinaUniversidade de LisboaLisbonPortugal
- CNS‐ Campus Neurológico SeniorTorres VedrasPortugal
| | - Mário Miguel Rosa
- Department of Neurosciences and Mental HealthNeurology Hospital Santa Maria, CHLUNLisbonPortugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de MedicinaUniversidade de LisboaLisbonPortugal
| | - Ricardo Matias
- Physics Department & Institute of Biophysics and Biomedical Engineering (IBEB), Faculty of SciencesUniversity of LisbonLisbonPortugal
- KinetikosCoimbraPortugal
| | - Miguel Coelho
- Department of Neurosciences and Mental HealthNeurology Hospital Santa Maria, CHLUNLisbonPortugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculty of MedicineUniversity of LisbonLisbonPortugal
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Hu ZD, Zhu SG, Huang JF, Chen JY, Huang SS, Liu RP, Chen ZL, Ma LL, Zhang X, Wang JY. Carpets with visual cues can improve gait in Parkinson's disease patients: may be independent of executive function. Eur J Med Res 2023; 28:530. [PMID: 37974270 PMCID: PMC10652558 DOI: 10.1186/s40001-023-01472-1] [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: 06/13/2023] [Accepted: 10/24/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Gait impairment is common in Parkinson's disease (PD) patients, which greatly reduces their quality of life. Executive dysfunction is associated with gait impairment. Compensatory strategies, including visual cues, have been shown to be effective in improving PD gait. In this study, we aimed to understand whether carpets with visual cues could improve PD gait, and how the improvement varies across patients with different executive function state. METHODS We designed carpets with chessboard and stripe cues. A total of 65 Chinese PD patients were recruited. Movement Disorder Society Unified Parkinson's Disease Rating Scale, L-dopa equivalent daily dosage, Hoehn & Yahr stage, Frontal Assessment Battery, Mini Mental State Examination Scale, Hamilton Anxiety Scale, and Hamilton Depression Scale were evaluated. Gait parameters including stride length, gait speed and fall risk were recorded by a wearable electronic device. RESULTS The stride length and gait speed were significantly improved and the fall risk was significantly mitigated when PD patients walked on carpets with chessboard and stripe patterns. Further analysis showed the amelioration of gait parameters was independent of executive dysfunction. CONCLUSIONS Our study demonstrates that carpets with visual cues can improve the gait of PD patients even in those with mild executive dysfunction.
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Affiliation(s)
- Ze-Di Hu
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shi-Guo Zhu
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jie-Fan Huang
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jin-Yu Chen
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shi-Shi Huang
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Rong-Pei Liu
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhu-Ling Chen
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Lu-Lu Ma
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiong Zhang
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
| | - Jian-Yong Wang
- Department of Neurology, Institute of Geriatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
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Zhang X, Fan W, Yu H, Li L, Chen Z, Guan Q. Single- and dual-task gait performance and their diagnostic value in early-stage Parkinson's disease. Front Neurol 2022; 13:974985. [PMID: 36313494 PMCID: PMC9615249 DOI: 10.3389/fneur.2022.974985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/28/2022] [Indexed: 11/25/2022] Open
Abstract
Background Gait parameters are considered potential diagnostic markers of Parkinson's disease (PD). We aimed to 1) assess the gait impairment in early-stage PD and its related factors in the single-task (ST) and dual-task (DT) walking tests and 2) evaluate and compare the diagnostic value of gait parameters for early-stage PD under ST and DT conditions. Methods A total of 97 early-stage PD patients and 41 healthy controls (HC) were enrolled at Hwa Mei hospital. Gait parameters were gathered and compared between the two groups in the ST and DT walking test, controlling for covariates. Utilizing the receiver operating characteristic curve, diagnostic parameters were investigated. Results In the ST walking test, significantly altered gait patterns could be observed in early-stage PD patients in all domains of gait, except for asymmetry (P < 0.05). Compared to the ST walking test, the early-stage PD group performed poorly in the DT walking test in the pace, rhythm, variability and postural control domain (P < 0.05). Older, heavier subjects, as well as those with lower height, lower level of education and lower gait velocity, were found to have a poorer gait performance (P < 0.05). Stride length (AUC = 0.823, sensitivity, 68.0%; specificity, 85.4%; P < 0.001) and heel strike angle (AUC = 0.796, sensitivity, 71.1%; specificity, 80.5%; P < 0.001) could distinguish early-stage PD patients from HCs with moderate accuracy, independent of covariates. The diagnostic accuracy of gait parameters under ST conditions were statistically noninferior to those under DT conditions(P>0.05). Combining all gait parameters with diagnostic values under ST and DT walking test, the predictive power significantly increased with an AUC of 0.924 (sensitivity, 85.4%; specificity, 92.7%; P < 0.001). Conclusion Gait patterns altered in patients with early-stage PD but the gait symmetry remained preserved. Stride length and heel strike angle were the two most prominent gait parameters of altered gait in early-stage of PD that could serve as diagnostic markers of early-stage PD. Our findings are helpful to understand the gait pattern of early-stage PD and its related factors and can be conducive to the development of new diagnostic tools for early-stage PD.
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Affiliation(s)
| | | | | | | | - Zhaoying Chen
- Department of Neurology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Qiongfeng Guan
- Department of Neurology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
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Desai N, Maggioni E, Obrist M, Orlu M. Scent-delivery devices as a digital healthcare tool for olfactory training: A pilot focus group study in Parkinson's disease patients. Digit Health 2022; 8:20552076221129061. [PMID: 36204704 PMCID: PMC9530561 DOI: 10.1177/20552076221129061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022] Open
Abstract
Parkinson's disease (PD) patients display a combination of motor and non-motor symptoms. The most common non-motor symptom is scent (olfactory) impairment, occurring at least four years prior to motor symptom onset. Recent and growing interest in digital healthcare technology used in PD has resulted in more technologies developed for motor rather than non-motor symptoms. Human-computer interaction (HCI), which uses computer technology to explore human activity and work, could be combined with digital healthcare technologies to better understand and support olfaction via scent training - leading to the development of a scent-delivery device (SDD). In this pilot study, three PD patients were invited to an online focus group to explore the association between PD and olfaction, understand HCI and sensory technologies and were demonstrated a new multichannel SDD with an associated mobile app. Participants had a preconceived link, a result of personal experience, between olfactory impairment and PD. Participants felt that healthcare professionals did not take olfactory dysfunction concerns seriously prior to PD diagnosis. Two were not comfortable with sharing scent loss experiences with others. Participants expected the multichannel SDD to be small, portable and easy-to-use, with customisable cartridges to deliver chosen scents and the mobile app to create a sense of community. None of the participants regularly performed scent training but would consider doing so if some scent function could be regained. Standardised digital SDDs for regular healthcare check-ups may facilitate improvement in olfactory senses in PD patients and potential earlier PD diagnosis, allowing earlier therapeutic and symptomatic PD management.
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Affiliation(s)
- Neel Desai
- Research Department of Pharmaceutics, UCL School of Pharmacy,
University College London, London, UK
| | - Emanuela Maggioni
- Department of Computer Science, University College London, London, UK
| | - Marianna Obrist
- Department of Computer Science, University College London, London, UK,Marianna Obrist, Department of Computer
Science, University College London, 169 Euston Road, London, UK.
| | - Mine Orlu
- Research Department of Pharmaceutics, UCL School of Pharmacy,
University College London, London, UK,Mine Orlu, Research Department of
Pharmaceutics, UCL School of Pharmacy, University College London, London, UK.
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Cabaraux P, Agrawal SK, Cai H, Calabro RS, Casali C, Damm L, Doss S, Habas C, Horn AKE, Ilg W, Louis ED, Mitoma H, Monaco V, Petracca M, Ranavolo A, Rao AK, Ruggieri S, Schirinzi T, Serrao M, Summa S, Strupp M, Surgent O, Synofzik M, Tao S, Terasi H, Torres-Russotto D, Travers B, Roper JA, Manto M. Consensus Paper: Ataxic Gait. CEREBELLUM (LONDON, ENGLAND) 2022; 22:394-430. [PMID: 35414041 DOI: 10.1007/s12311-022-01373-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/20/2022] [Indexed: 12/19/2022]
Abstract
The aim of this consensus paper is to discuss the roles of the cerebellum in human gait, as well as its assessment and therapy. Cerebellar vermis is critical for postural control. The cerebellum ensures the mapping of sensory information into temporally relevant motor commands. Mental imagery of gait involves intrinsically connected fronto-parietal networks comprising the cerebellum. Muscular activities in cerebellar patients show impaired timing of discharges, affecting the patterning of the synergies subserving locomotion. Ataxia of stance/gait is amongst the first cerebellar deficits in cerebellar disorders such as degenerative ataxias and is a disabling symptom with a high risk of falls. Prolonged discharges and increased muscle coactivation may be related to compensatory mechanisms and enhanced body sway, respectively. Essential tremor is frequently associated with mild gait ataxia. There is growing evidence for an important role of the cerebellar cortex in the pathogenesis of essential tremor. In multiple sclerosis, balance and gait are affected due to cerebellar and spinal cord involvement, as a result of disseminated demyelination and neurodegeneration impairing proprioception. In orthostatic tremor, patients often show mild-to-moderate limb and gait ataxia. The tremor generator is likely located in the posterior fossa. Tandem gait is impaired in the early stages of cerebellar disorders and may be particularly useful in the evaluation of pre-ataxic stages of progressive ataxias. Impaired inter-joint coordination and enhanced variability of gait temporal and kinetic parameters can be grasped by wearable devices such as accelerometers. Kinect is a promising low cost technology to obtain reliable measurements and remote assessments of gait. Deep learning methods are being developed in order to help clinicians in the diagnosis and decision-making process. Locomotor adaptation is impaired in cerebellar patients. Coordinative training aims to improve the coordinative strategy and foot placements across strides, cerebellar patients benefiting from intense rehabilitation therapies. Robotic training is a promising approach to complement conventional rehabilitation and neuromodulation of the cerebellum. Wearable dynamic orthoses represent a potential aid to assist gait. The panel of experts agree that the understanding of the cerebellar contribution to gait control will lead to a better management of cerebellar ataxias in general and will likely contribute to use gait parameters as robust biomarkers of future clinical trials.
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Affiliation(s)
- Pierre Cabaraux
- Unité Des Ataxies Cérébelleuses, Department of Neurology, CHU de Charleroi, Charleroi, Belgium.
| | | | - Huaying Cai
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | | | - Carlo Casali
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy
| | - Loic Damm
- EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France
| | - Sarah Doss
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, USA
| | - Christophe Habas
- Université Versailles Saint-Quentin, Versailles, France.,Service de NeuroImagerie, Centre Hospitalier National des 15-20, Paris, France
| | - Anja K E Horn
- Institute of Anatomy and Cell Biology I, Ludwig Maximilians-University Munich, Munich, Germany
| | - Winfried Ilg
- Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, University Tübingen, Tübingen, Germany
| | - Elan D Louis
- Department of Neurology, University of Texas Southwestern, Dallas, TX, USA
| | - Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo, Japan
| | - Vito Monaco
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Maria Petracca
- Department of Human Neurosciences, University of Rome Sapienza, Rome, Italy
| | - Alberto Ranavolo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, Rome, Italy
| | - Ashwini K Rao
- Department of Rehabilitation & Regenerative Medicine (Programs in Physical Therapy), Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Serena Ruggieri
- Department of Human Neurosciences, University of Rome Sapienza, Rome, Italy.,Neuroimmunology Unit, IRCSS Fondazione Santa Lucia, Rome, Italy
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy
| | - Mariano Serrao
- Department of Medico-Surgical Sciences and Biotechnologies, University of Rome Sapienza, Latina, Italy.,Movement Analysis LAB, Policlinico Italia, Rome, Italy
| | - Susanna Summa
- MARlab, Neuroscience and Neurorehabilitation Department, Bambino Gesù Children's Hospital - IRCCS, Rome, Italy
| | - Michael Strupp
- Department of Neurology and German Center for Vertigo and Balance Disorders, Hospital of the Ludwig Maximilians-University Munich, Munich, Germany
| | - Olivia Surgent
- Neuroscience Training Program and Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Matthis Synofzik
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research and Centre of Neurology, Tübingen, Germany
| | - Shuai Tao
- Dalian Key Laboratory of Smart Medical and Health, Dalian University, Dalian, 116622, China
| | - Hiroo Terasi
- Department of Neurology, Tokyo Medical University, Tokyo, Japan
| | - Diego Torres-Russotto
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, USA
| | - Brittany Travers
- Department of Kinesiology and Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Jaimie A Roper
- School of Kinesiology, Auburn University, Auburn, AL, USA
| | - Mario Manto
- Unité Des Ataxies Cérébelleuses, Department of Neurology, CHU de Charleroi, Charleroi, Belgium.,Service Des Neurosciences, University of Mons, UMons, Mons, Belgium
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Prevalence and Risk Factors for Minor Hallucinations in Patients with Parkinson's Disease. Behav Neurol 2021; 2021:3469706. [PMID: 34646400 PMCID: PMC8505047 DOI: 10.1155/2021/3469706] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/20/2021] [Indexed: 11/18/2022] Open
Abstract
Purpose As the most frequent and earliest type of psychotic phenomenon in Parkinson's disease (PD), minor hallucination (MH) can occur before the onset of motor symptoms. This sensation may be an early predictor of severe psychotic and cognitive states and is often overlooked in clinics. This study was aimed at providing a comprehensive and in-depth understanding of MHs. Patients and Methods. Demographic information was obtained from 262 patients with PD, and a series of clinical assessment questionnaires were provided. According to the result of the Movement Disorders Society Unified Parkinson's Disease Rating Scale Part I, the patients were classified into the MH and nonhallucination (NH) groups. Results MHs were the most common psychotic symptom with 38.9% prevalence. The most frequent MH was visual illusion, especially object misidentification. Three minor phenomena were somewhat consistent in terms of external factors, temporal factors, and content. Disease duration, daily levodopa equivalent dose, and percentage of levodopa and dopamine-receptor agonist use were remarkably greater in the MH group than in the NH group. After covariate control, the MH group had worse life quality and more severe nonmotor symptoms, including poor sleep quality and rapid eye movement sleep behavior disorder (RBD), than the NH group. The binary logistic regression model showed that RBD, sleep quality, and health-related life quality were associated with MHs. Conclusion A high prevalence of MHs was observed in patients with PD. Further studies are needed to confirm and expand the identified clinical factors related to MH, which have potential prognostic and therapeutic implication.
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Troisi Lopez E, Minino R, Sorrentino P, Rucco R, Carotenuto A, Agosti V, Tafuri D, Manzo V, Liparoti M, Sorrentino G. A synthetic kinematic index of trunk displacement conveying the overall motor condition in Parkinson's disease. Sci Rep 2021; 11:2736. [PMID: 33531608 PMCID: PMC7854606 DOI: 10.1038/s41598-021-82348-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 01/15/2021] [Indexed: 12/21/2022] Open
Abstract
Parkinson's disease (PD) is characterized by motor impairment, affecting quality of life and increasing fall risk, due to ineffective postural control. To this day, the diagnosis remains based on clinical approach. Similarly, motor evaluation is based on heterogeneous, operator-dependent observational criteria. A synthetic, replicable index to quantify motor impairment is still lacking. Hence, we have designed a new measure of postural stability which assesses the trunk displacement in relation to the center of mass, that we named trunk displacement index (TDI). Twenty-three PD patients and twenty-three healthy controls underwent motor examination through a stereophotogrammetric system. A correlation analysis was performed to assess the relationship of TDI with gait parameters and clinical motor scale (UPDRS-III). The TDI sensitivity was estimated, comparing pre- and post- L-DOPA subclinical dose intake. The TDI showed significant correlations with many gait parameters and with the UPDRS-III. Furthermore, the TDI resulted capable in discriminating between off and on state in PD, whereas gait parameters failed two show any difference between those two conditions. Our results suggest that the TDI may be considered a highly sensitive biomechanical index, reflecting the overall motor condition in PD, and provided of clinical relevance due to the correlation with the clinical evaluation.
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Affiliation(s)
- Emahnuel Troisi Lopez
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy
| | - Roberta Minino
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy
| | - Pierpaolo Sorrentino
- Institut de Neurosciences Des Systemès, Aix-Marseille University, Marseille, France
- Institute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy
| | - Rosaria Rucco
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy
- Institute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy
| | - Anna Carotenuto
- Alzheimer Unit and Movement Disorders Clinic, Department of Neurology, Cardarelli Hospital, Naples, Italy
| | - Valeria Agosti
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Domenico Tafuri
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy
| | - Valentino Manzo
- Alzheimer Unit and Movement Disorders Clinic, Department of Neurology, Cardarelli Hospital, Naples, Italy
| | - Marianna Liparoti
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy.
| | - Giuseppe Sorrentino
- Department of Motor Sciences and Wellness, University of Naples "Parthenope", Naples, Italy
- Institute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy
- Institute for Diagnosis and Care, Hermitage Capodimonte, Naples, Italy
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Liu L, Wang HH, Qiu S, Zhang YC, Hao ZD. Paddle Stroke Analysis for Kayakers Using Wearable Technologies. SENSORS (BASEL, SWITZERLAND) 2021; 21:914. [PMID: 33573000 PMCID: PMC7866423 DOI: 10.3390/s21030914] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 12/12/2022]
Abstract
Proper stroke posture and rhythm are crucial for kayakers to achieve perfect performance and avoid the occurrence of sport injuries. The traditional video-based analysis method has numerous limitations (e.g., site and occlusion). In this study, we propose a systematic approach for evaluating the training performance of kayakers based on the multiple sensors fusion technology. Kayakers' motion information is collected by miniature inertial sensor nodes attached on the body. The extend Kalman filter (EKF) method is used for data fusion and updating human posture. After sensor calibration, the kayakers' actions are reconstructed by rigid-body model. The quantitative kinematic analysis is carried out based on joint angles. Machine learning algorithms are used for differentiating the stroke cycle into different phases, including entry, pull, exit and recovery. The experiment shows that our method can provide comprehensive motion evaluation information under real on-water scenario, and the phase identification of kayaker's motions is up to 98% validated by videography method. The proposed approach can provide quantitative information for coaches and athletes, which can be used to improve the training effects.
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Affiliation(s)
- Long Liu
- Dalian Neusoft University of Information, Dalian 116023, China; (L.L.); (H.-H.W.)
- The Laboratory of Intelligent System, Dalian University of Technology, Dalian 116024, China;
| | - Hui-Hui Wang
- Dalian Neusoft University of Information, Dalian 116023, China; (L.L.); (H.-H.W.)
| | - Sen Qiu
- The Laboratory of Intelligent System, Dalian University of Technology, Dalian 116024, China;
| | - Yun-Cui Zhang
- The Research Institute of Photonics, Dalian Polytechnic University, Dalian 116023, China;
| | - Zheng-Dong Hao
- The Laboratory of Intelligent System, Dalian University of Technology, Dalian 116024, China;
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9
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Zhong M, Jiang X, Zhu S, Gu R, Bai Y, He H, Pan Y, Xu P, Yan J, Zhang L. Sleep Disturbances and Associated Factors in Drug-Naïve Patients with Parkinson's Disease. Neuropsychiatr Dis Treat 2021; 17:3499-3508. [PMID: 34887663 PMCID: PMC8651092 DOI: 10.2147/ndt.s341782] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/18/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Sleep disturbance is one of the common symptoms in Parkinson's disease (PD). The study of sleep disturbance used to concentrate on treated PD. This study aimed to investigate the factors that are associated with the sleep quality of drug-naïve patients with PD. PATIENTS AND METHODS All participants were interviewed using a standard questionnaire to collect basic information. PD severity, depression symptoms, anxiety symptoms, sleep quality, cognitive status, life quality, and the presence of rapid eye movement (REM) sleep behavior disorder (RBD) and minor hallucination were assessed using corresponding rating scales. The patients with a Pittsburgh Sleep Quality Index score ≤6 fell into the poor sleep group, and those with REM Sleep Behavior Disorder Screening Questionnaire score ≥5 were considered to have probable RBD. RESULTS Seventy drug-naive patients with PD and 30 healthy controls matched for age, sex, and education were recruited. Up to 41.4% of the patients suffered from sleep disturbance, and 24.3% of the patients had RBD. Poor sleepers were more likely to have left-side predominant motor symptoms. Compared with good sleepers, poor sleepers, particularly female patients, had more burden in the aspect of anxiety and depression. RBD was associated with more nonmotor symptoms, poor sleep quality, bad performance in cognition orientation domain, anxiety, depression, presence of minor hallucination, and poor life quality. CONCLUSION Sleep disturbances are common in drug-naïve PD and require wide attention. Motor symptom laterality and gender difference in mood are associated with sleep quality. Depression, anxiety, and RBD are highly related to sleep disturbance. RBD has many comorbidities, which can influence the cognitive function and life quality of the patients.
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Affiliation(s)
- Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Sha Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Ruxin Gu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yu Bai
- Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada
| | - Hong He
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China
| | - Yang Pan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Pingyi Xu
- Department of Neurology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Jun Yan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
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Wu Z, Zhong M, Jiang X, Shen B, Zhu J, Pan Y, Dong J, Yan J, Xu P, Zhang W, Gao Y, Zhang L. Can Quantitative Gait Analysis Be Used to Guide Treatment of Patients with Different Subtypes of Parkinson's Disease? Neuropsychiatr Dis Treat 2020; 16:2335-2341. [PMID: 33116532 PMCID: PMC7553622 DOI: 10.2147/ndt.s266585] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/12/2020] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Gait impairment is a common clinical symptom of patients with Parkinson's disease (PD). Detecting specific gait parameters' changes in order to guide clinical intervention is at present lacking. The present study aimed to (1) quantify gait impairments in different PD subtypes and (2) explore whether the results of quantitative gait analysis are beneficial to clinical treatment. PATIENTS AND METHODS We enrolled 86 patients with PD (48 men, and 38 women) from the Department of Geriatrics of the Affiliated Brain Hospital of Nanjing Medical University. Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn-Yahr Scale were used to evaluate the motor symptoms of PD. All patients stopped anti-Parkinsonian medication for 24 hours (72 hours for controlled release medicine). The patients were divided into two subtypes, namely, postural instability gait difficulty (PIGD; n=56) and tremor dominant (TD; n=30) subtypes according to UPDRS. All patients completed the instrumented stand and walk test, and a set of JiBuEn gait analysis system was used in gait data collection. RESULTS We observed a shorter stride length (p=0.021), a longer stride time (p=0.036), a faster cadence (p=0.036), and a more variable stride length (p=0.012) in the PIGD group compared with the TD group. In addition, compared with the TD group, we found that the toe-off angle (p=0.005) and the range of motion of ankle joint (p=0.009) decreased in the PIGD group. CONCLUSION Our study demonstrated that the gait performance of patients with PIGD is worse than those with TD from the perspective of quantitative gait analysis. We extended previous research and found the PIGD group exhibited severe gait impairments in some specific spatiotemporal and kinematic gait parameters. The different manifestations of these gait impairments may guide in choosing appropriate treatment of patients with different PD subtypes.
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Affiliation(s)
- Zhuang Wu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Bo Shen
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jun Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yang Pan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jingde Dong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jun Yan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Pingyi Xu
- Department of Neurology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Wenbin Zhang
- Department of Neurosurgery, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yang Gao
- Department of Computer Science and Technology, Nanjing University, Nanjing, People's Republic of China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, People's Republic of China
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