1
|
Zhang Y, Zhang C, Wang X, Liu Y, Jin Z, Haacke EM, He N, Li D, Yan F. Iron and neuromelanin imaging in basal ganglia circuitry in Parkinson's disease with freezing of gait. Magn Reson Imaging 2024; 111:229-236. [PMID: 38777243 DOI: 10.1016/j.mri.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVE This study aimed to examine the structural alterations of the deep gray matter (DGM) in the basal ganglia circuitry of Parkinson's disease (PD) patients with freezing of gait (FOG) using quantitative susceptibility mapping (QSM) and neuromelanin-sensitive magnetic resonance imaging (NM-MRI). METHODS Twenty-five (25) PD patients with FOG (PD-FOG), 22 PD patients without FOG (PD-nFOG), and 30 age- and sex-matched healthy controls (HCs) underwent 3-dimensional multi-echo gradient recalled echo and NM-MRI scanning. The mean volume and susceptibility of the DGM on QSM data and the relative contrast (NMRC-SNpc) and volume (NMvolume-SNpc) of the substantia nigra pars compacta on NM-MRI were analyzed among groups. A multiple linear regression analysis was performed to explore the associations of FOG severity with MRI measurements and disease stage. RESULTS The PD-FOG group showed higher susceptibility in the bilateral caudal substantia nigra (SN) compared to the HC group. Both the PD-FOG and PD-nFOG groups showed lower volumes than the HC group in the bilateral caudate and putamen as determined from the QSM data. The NMvolume-SNpc on NM-MRI in the PD-FOG group was significantly lower than in the HC and PD-nFOG groups. Both the PD-FOG and PD-nFOG groups showed significantly decreased NMRC-SNpc. CONCLUSIONS The PD-FOG patients showed abnormal neostriatum atrophy, increases in iron deposition in the SN, and lower NMvolume-SNpc. The structural alterations of the DGM in the basal ganglia circuits could lead to the abnormal output of the basal ganglia circuit to trigger the FOG in PD patients.
Collapse
Affiliation(s)
- Youmin Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chencheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinhui Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijia Jin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - E Mark Haacke
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Dianyou Li
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
2
|
Baarbé J, Brown MJN, Saha U, Tran S, Weissbach A, Saravanamuttu J, Cheyne D, Hutchison WD, Chen R. Cortical modulations before lower limb motor blocks are associated with freezing of gait in Parkinson's disease: an EEG source localization study. Neurobiol Dis 2024; 199:106557. [PMID: 38852752 DOI: 10.1016/j.nbd.2024.106557] [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: 03/26/2024] [Revised: 05/15/2024] [Accepted: 06/05/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) characterized by paroxysmal episodes in which patients are unable to step forward. A research priority is identifying cortical changes before freezing in PD-FOG. METHODS We tested 19 patients with PD who had been assessed for FOG (n=14 with FOG and 5 without FOG). While seated, patients stepped bilaterally on pedals to progress forward through a virtual hallway while 64-channel EEG was recorded. We assessed cortical activities before and during lower limb motor blocks (LLMB), defined as a break in rhythmic pedaling, and stops, defined as movement cessation following an auditory stop cue. This task was selected because LLMB correlates with FOG severity in PD and allows recording of high-quality EEG. Patients were tested after overnight withdrawal from dopaminergic medications ("off" state) and in the "on" medications state. EEG source activities were evaluated using individual MRI and standardized low resolution brain electromagnetic tomography (sLORETA). Functional connectivity was evaluated by phase lag index between seeds and pre-defined cortical regions of interest. RESULTS EEG source activities for LLMB vs. cued stops localized to right posterior parietal area (Brodmann area 39), lateral premotor area (Brodmann area 6), and inferior frontal gyrus (Brodmann area 47). In these areas, PD-FOG (n=14) increased alpha rhythms (8-12 Hz) before LLMB vs. typical stepping, whereas PD without FOG (n=5) decreased alpha power. Alpha rhythms were linearly correlated with LLMB severity, and the relationship became an inverted U-shape when assessing alpha rhythms as a function of percent time in LLMB in the "off" medication state. Right inferior frontal gyrus and supplementary motor area connectivity was observed before LLMB in the beta band (13-30 Hz). This same pattern of connectivity was seen before stops. Dopaminergic medication improved FOG and led to less alpha synchronization and increased functional connections between frontal and parietal areas. CONCLUSIONS Right inferior parietofrontal structures are implicated in PD-FOG. The predominant changes were in the alpha rhythm, which increased before LLMB and with LLMB severity. Similar connectivity was observed for LLMB and stops between the right inferior frontal gyrus and supplementary motor area, suggesting that FOG may be a form of "unintended stopping." These findings may inform approaches to neurorehabilitation of PD-FOG.
Collapse
Affiliation(s)
- Julianne Baarbé
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Faculty of Health, York University, Toronto, Ontario, Canada.
| | - Matt J N Brown
- Department of Kinesiology, California State University, Sacramento, CA, USA
| | - Utpal Saha
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Stephanie Tran
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Anne Weissbach
- Institute of Systems Motor Science, Center of Brain, Behavior and Metabolism, University of Lübeck, Germany
| | - James Saravanamuttu
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Douglas Cheyne
- Program in Neurosciences and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - William D Hutchison
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Robert Chen
- Department of Medicine, University of Toronto and Division of Brain, Imaging & Behaviour, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| |
Collapse
|
3
|
Park JM, Moon CW, Lee BC, Oh E, Lee J, Jang WJ, Cho KH, Lee SH. Detection of freezing of gait in Parkinson's disease from foot-pressure sensing insoles using a temporal convolutional neural network. Front Aging Neurosci 2024; 16:1437707. [PMID: 39092074 PMCID: PMC11291202 DOI: 10.3389/fnagi.2024.1437707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 07/01/2024] [Indexed: 08/04/2024] Open
Abstract
Backgrounds Freezing of gait (FoG) is a common and debilitating symptom of Parkinson's disease (PD) that can lead to falls and reduced quality of life. Wearable sensors have been used to detect FoG, but current methods have limitations in accuracy and practicality. In this paper, we aimed to develop a deep learning model using pressure sensor data from wearable insoles to accurately detect FoG in PD patients. Methods We recruited 14 PD patients and collected data from multiple trials of a standardized walking test using the Pedar insole system. We proposed temporal convolutional neural network (TCNN) and applied rigorous data filtering and selective participant inclusion criteria to ensure the integrity of the dataset. We mapped the sensor data to a structured matrix and normalized it for input into our TCNN. We used a train-test split to evaluate the performance of the model. Results We found that TCNN model achieved the highest accuracy, precision, sensitivity, specificity, and F1 score for FoG detection compared to other models. The TCNN model also showed good performance in detecting FoG episodes, even in various types of sensor noise situations. Conclusions We demonstrated the potential of using wearable pressure sensors and machine learning models for FoG detection in PD patients. The TCNN model showed promising results and could be used in future studies to develop a real-time FoG detection system to improve PD patients' safety and quality of life. Additionally, our noise impact analysis identifies critical sensor locations, suggesting potential for reducing sensor numbers.
Collapse
Affiliation(s)
- Jae-Min Park
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Chang-Won Moon
- Department of Rehabilitation Medicine, Chungnam National University College of Medicine, Daejeon, Republic of Korea
- Department of Biomedical Institute, Chungnam National University, Daejeon, Republic of Korea
| | - Byung Chan Lee
- Department of Physical Medicine and Rehabilitation, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Eungseok Oh
- Department of Neurology, College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Juhyun Lee
- Department of Biomedical Institute, Chungnam National University, Daejeon, Republic of Korea
| | - Won-Jun Jang
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Kang Hee Cho
- Department of Rehabilitation Medicine, Chungnam National University College of Medicine, Daejeon, Republic of Korea
- Department of Biomedical Institute, Chungnam National University, Daejeon, Republic of Korea
| | - Si-Hyeon Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| |
Collapse
|
4
|
Scully AE, Tan DML, de Oliveira BI, Hill KD, Clark R, Pua YH. Validity and reliability of a new clinician-rated tool for freezing of gait severity. Disabil Rehabil 2024; 46:3133-3140. [PMID: 37551868 DOI: 10.1080/09638288.2023.2242257] [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: 01/12/2023] [Accepted: 07/23/2023] [Indexed: 08/09/2023]
Abstract
PURPOSE The Freezing of Gait Severity Tool (FOG Tool) was developed because of limitations in existing assessments. This cross-sectional study investigated its validity and reliability. METHODS People with Parkinson's disease (PD) were recruited consecutively from clinics. Those who could not walk eight-metres independently (with or without an assistive device), comprehend instructions, or with co-morbidities affecting walking were excluded. Participants completed a set of assessments including the FOG Tool, Timed Up and Go (TUG), and Freezing of Gait Questionnaire. The FOG Tool was repeated and those reporting no medication state change evaluated for test-retest reliability. Validity and reliability were investigated through Spearman's correlations and ICC (two-way, random). McNemar's test was applied to compare the FOG Tool and TUG on the proportion of people with freezing. RESULTS Thirty-nine participants were recruited [79.5%(n = 31) male; Median(IQR): age-73.0(9.0) years; disease duration-4.0(5.8) years]. Fifteen (38.5%) contributed to test-retest reliability analyses. The FOG Tool demonstrated strongest associations with the Freezing of Gait Questionnaire (ρ = 0.67, 95%CI 0.43-0.83). Test-retest reliability was excellent (ICC = 0.96, 95%CI 0.88-0.99). The FOG Tool had 6.2 times the odds (95%CI 2.4-20.4, p < 0.001) of triggering freezing compared to the TUG. CONCLUSIONS The FOG Tool appeared adequately valid and reliable in this small sample of people with PD. It was more successful in triggering freezing than the TUG.
Collapse
Affiliation(s)
- Aileen Eugenia Scully
- School of Allied Health, Curtin University, Bentley, Perth, Australia
- Health and Social Sciences, Singapore Institute of Technology, Singapore, Singapore
| | - Dawn May Leng Tan
- Health and Social Sciences, Singapore Institute of Technology, Singapore, Singapore
- Department of Physiotherapy, Singapore General Hospital, Singapore, Singapore
| | | | - Keith David Hill
- Rehabilitation Ageing and Independent Living Research Centre, Monash University, Frankston, Australia
| | - Ross Clark
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, Australia
| | - Yong Hao Pua
- Department of Physiotherapy, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Graduate Medical School, Medicine Academic Programme, Singapore, Singapore
| |
Collapse
|
5
|
Wilkins KB, Petrucci MN, Lambert EF, Melbourne JA, Gala AS, Akella P, Parisi L, Cui C, Kehnemouyi YM, Hoffman SL, Aditham S, Diep C, Dorris HJ, Parker JE, Herron JA, Bronte-Stewart HM. Beta Burst-Driven Adaptive Deep Brain Stimulation Improves Gait Impairment and Freezing of Gait in Parkinson's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.26.24309418. [PMID: 38978669 PMCID: PMC11230310 DOI: 10.1101/2024.06.26.24309418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that is often refractory to medication. Pathological prolonged beta bursts within the subthalamic nucleus (STN) are associated with both worse impairment and freezing behavior in PD, which are improved with deep brain stimulation (DBS). The goal of the current study was to investigate the feasibility, safety, and tolerability of beta burst-driven adaptive DBS (aDBS) for FOG in PD. Methods Seven individuals with PD were implanted with the investigational Summit™ RC+S DBS system (Medtronic, PLC) with leads placed bilaterally in the STN. A PC-in-the-loop architecture was used to adjust stimulation amplitude in real-time based on the observed beta burst durations in the STN. Participants performed either a harnessed stepping-in-place task or a free walking turning and barrier course, as well as clinical motor assessments and instrumented measures of bradykinesia, OFF stimulation, on aDBS, continuous DBS (cDBS), or random intermittent DBS (iDBS). Results Beta burst driven aDBS was successfully implemented and deemed safe and tolerable in all seven participants. Gait metrics such as overall percent time freezing and mean peak shank angular velocity improved from OFF to aDBS and showed similar efficacy as cDBS. Similar improvements were also seen for overall clinical motor impairment, including tremor, as well as quantitative metrics of bradykinesia. Conclusion Beta burst driven adaptive DBS was feasible, safe, and tolerable in individuals with PD with gait impairment and FOG.
Collapse
Affiliation(s)
- K B Wilkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - M N Petrucci
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Bioengineering, Stanford Schools of Engineering & Medicine, Stanford, CA, United States
| | - E F Lambert
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J A Melbourne
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - A S Gala
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - P Akella
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - L Parisi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - C Cui
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Y M Kehnemouyi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Bioengineering, Stanford Schools of Engineering & Medicine, Stanford, CA, United States
| | - S L Hoffman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - S Aditham
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - C Diep
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - H J Dorris
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J E Parker
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - J A Herron
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States
| | - H M Bronte-Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
| |
Collapse
|
6
|
LeWitt PA, Hong L, Moehle MS. Anticholinergic drugs for parkinsonism and other movement disorders. J Neural Transm (Vienna) 2024:10.1007/s00702-024-02799-7. [PMID: 38904792 DOI: 10.1007/s00702-024-02799-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 06/02/2024] [Indexed: 06/22/2024]
Abstract
Anticholinergic (AC) drugs, a medication class that acts by blocking nicotinic and muscarinic acetylcholine receptors, were first utilized for therapeutic purposes in the mid-19th century. Initial applications were as symptomatic therapy for Parkinson disease (PD), a practice continuing to the present. Initially, the AC drugs used were naturally-occurring plant compounds. Synthetic AC drugs were developed in the late 1940s and predominated in neurological therapeutics. Until the advent of pharmaceuticals acting upon striatal dopaminergic motor pathways, AC drugs provided the only effective means for lessening tremors and other clinical problems of the PD patient. However, because dopaminergic compounds are so effective at meeting the needs of the typical PD patient, AC medications are far less utilized by clinicians today. In recent years, there has been only a few investigations of AC drugs as neurological treatments. This review will revisit the clinical landscape of AC pharmacology and application for movement disorders along with recent research in search of improving therapeutics with AC drugs.
Collapse
Affiliation(s)
- Peter A LeWitt
- Departments of Neurology, Wayne State University School of Medicine and Henry Ford Hospital, 8-D 4201 St. Antoine Street, Detroit, MI, 48201, USA.
| | - Luke Hong
- The Department of Neurology, University of South Florida, Tampa, FL, USA
| | - Mark S Moehle
- Department of Pharmacology and Therapeutics, Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA
| |
Collapse
|
7
|
Al-Nefaie AH, Aldhyani THH, Farhah N, Koundal D. Intelligent diagnosis system based on artificial intelligence models for predicting freezing of gait in Parkinson's disease. Front Med (Lausanne) 2024; 11:1418684. [PMID: 38966531 PMCID: PMC11222646 DOI: 10.3389/fmed.2024.1418684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 05/29/2024] [Indexed: 07/06/2024] Open
Abstract
Introduction Freezing of gait (FoG) is a significant issue for those with Parkinson's disease (PD) since it is a primary contributor to falls and is linked to a poor superiority of life. The underlying apparatus is still not understood; however, it is postulated that it is associated with cognitive disorders, namely impairments in executive and visuospatial functions. During episodes of FoG, patients may experience the risk of falling, which significantly effects their quality of life. Methods This research aims to systematically evaluate the effectiveness of machine learning approaches in accurately predicting a FoG event before it occurs. The system was tested using a dataset collected from the Kaggle repository and comprises 3D accelerometer data collected from the lower backs of people who suffer from episodes of FoG, a severe indication frequently realized in persons with Parkinson's disease. Data were acquired by measuring acceleration from 65 patients and 20 healthy senior adults while they engaged in simulated daily life tasks. Of the total participants, 45 exhibited indications of FoG. This research utilizes seven machine learning methods, namely the decision tree, random forest, Knearest neighbors algorithm, LightGBM, and CatBoost models. The Gated Recurrent Unit (GRU)-Transformers and Longterm Recurrent Convolutional Networks (LRCN) models were applied to predict FoG. The construction and model parameters were planned to enhance performance by mitigating computational difficulty and evaluation duration. Results The decision tree exhibited exceptional performance, achieving sensitivity rates of 91% in terms of accuracy, precision, recall, and F1- score metrics for the FoG, transition, and normal activity classes, respectively. It has been noted that the system has the capacity to anticipate FoG objectively and precisely. This system will be instrumental in advancing consideration in furthering the comprehension and handling of FoG.
Collapse
Affiliation(s)
- Abdullah H. Al-Nefaie
- King Salman Center for Disability Research, Riyadh, Saudi Arabia
- Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Theyazn H. H. Aldhyani
- King Salman Center for Disability Research, Riyadh, Saudi Arabia
- Applied College in Abqaiq, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Nesren Farhah
- Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia
| | - Deepika Koundal
- King Salman Center for Disability Research, Riyadh, Saudi Arabia
- School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
| |
Collapse
|
8
|
Elbatanouny H, Kleanthous N, Dahrouj H, Alusi S, Almajali E, Mahmoud S, Hussain A. Insights into Parkinson's Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis. SENSORS (BASEL, SWITZERLAND) 2024; 24:3959. [PMID: 38931743 PMCID: PMC11207947 DOI: 10.3390/s24123959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024]
Abstract
Parkinson's Disease (PD) is a complex neurodegenerative disorder characterized by a spectrum of motor and non-motor symptoms, prominently featuring the freezing of gait (FOG), which significantly impairs patients' quality of life. Despite extensive research, the precise mechanisms underlying FOG remain elusive, posing challenges for effective management and treatment. This paper presents a comprehensive meta-analysis of FOG prediction and detection methodologies, with a focus on the integration of wearable sensor technology and machine learning (ML) approaches. Through an exhaustive review of the literature, this study identifies key trends, datasets, preprocessing techniques, feature extraction methods, evaluation metrics, and comparative analyses between ML and non-ML approaches. The analysis also explores the utilization of cueing devices. The limited adoption of explainable AI (XAI) approaches in FOG prediction research represents a significant gap. Improving user acceptance and comprehension requires an understanding of the logic underlying algorithm predictions. Current FOG detection and prediction research has a number of limitations, which are identified in the discussion. These include issues with cueing devices, dataset constraints, ethical and privacy concerns, financial and accessibility restrictions, and the requirement for multidisciplinary collaboration. Future research avenues center on refining explainability, expanding and diversifying datasets, adhering to user requirements, and increasing detection and prediction accuracy. The findings contribute to advancing the understanding of FOG and offer valuable guidance for the development of more effective detection and prediction methodologies, ultimately benefiting individuals affected by PD.
Collapse
Affiliation(s)
- Hagar Elbatanouny
- Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; (H.D.); (E.A.); (S.M.)
| | | | - Hayssam Dahrouj
- Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; (H.D.); (E.A.); (S.M.)
| | - Sundus Alusi
- The Walton Centre NHS Foundation Trust, Liverpool L9 7LJ, UK;
| | - Eqab Almajali
- Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; (H.D.); (E.A.); (S.M.)
| | - Soliman Mahmoud
- Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; (H.D.); (E.A.); (S.M.)
- University of Khorfakkan, Khorfakkan, Sharjah 18119, United Arab Emirates
| | - Abir Hussain
- Department of Electrical Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; (H.D.); (E.A.); (S.M.)
| |
Collapse
|
9
|
Seuthe J, Heinzel A, Hulzinga F, Ginis P, Zeuner KE, Deuschl G, D’Cruz N, Nieuwboer A, Schlenstedt C. Towards a better understanding of anticipatory postural adjustments in people with Parkinson's disease. PLoS One 2024; 19:e0300465. [PMID: 38466709 PMCID: PMC10927092 DOI: 10.1371/journal.pone.0300465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 02/12/2024] [Indexed: 03/13/2024] Open
Abstract
INTRODUCTION Previous studies have shown that anticipatory postural adjustments (APAs) are altered in people with Parkinson's disease but its meaning for locomotion is less understood. This study aims to investigate the association between APAs and gait initiation, gait and freezing of gait and how a dynamic postural control challenging training may induce changes in these features. METHODS Gait initiation was quantified using wearable sensors and subsequent straight walking was assessed via marker-based motion capture. Additionally, turning and FOG-related outcomes were measured with wearable sensors. Assessments were conducted one week before (Pre), one week after (Post) and 4 weeks after (Follow-up) completion of a training intervention (split-belt treadmill training or regular treadmill training), under single task and dual task (DT) conditions. Statistical analysis included a linear mixed model for training effects and correlation analysis between APAs and the other outcomes for Pre and Post-Pre delta. RESULTS 52 participants with Parkinson's disease (22 freezers) were assessed. We found that APA size in the medio-lateral direction during DT was positively associated with gait speed (p<0.001) and stride length (p<0.001) under DT conditions at Pre. The training effect was largest for first step range of motion and was similar for both training modes. For the associations between changes after the training (pooled sample) medio-lateral APA size showed a significant positive correlation with first step range of motion (p = 0.033) only in the DT condition and for the non-freezers only. CONCLUSIONS The findings of this work revealed new insights into how APAs were not associated with first step characteristics and freezing and only baseline APAs during DT were related with DT gait characteristics. Training-induced changes in the size of APAs were related to training benefits in the first step ROM only in non-freezers. Based on the presented results increasing APA size through interventions might not be the ideal target for overall improvement of locomotion.
Collapse
Affiliation(s)
- Jana Seuthe
- Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Anna Heinzel
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Femke Hulzinga
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Pieter Ginis
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Kirsten E. Zeuner
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Günther Deuschl
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Nicholas D’Cruz
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Alice Nieuwboer
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Christian Schlenstedt
- Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
- Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
| |
Collapse
|
10
|
Yang PK, Filtjens B, Ginis P, Goris M, Nieuwboer A, Gilat M, Slaets P, Vanrumste B. Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops. J Neuroeng Rehabil 2024; 21:24. [PMID: 38350964 PMCID: PMC10865632 DOI: 10.1186/s12984-024-01320-1] [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: 05/09/2023] [Accepted: 01/30/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Freezing of gait (FOG) is an episodic and highly disabling symptom of Parkinson's Disease (PD). Traditionally, FOG assessment relies on time-consuming visual inspection of camera footage. Therefore, previous studies have proposed portable and automated solutions to annotate FOG. However, automated FOG assessment is challenging due to gait variability caused by medication effects and varying FOG-provoking tasks. Moreover, whether automated approaches can differentiate FOG from typical everyday movements, such as volitional stops, remains to be determined. To address these questions, we evaluated an automated FOG assessment model with deep learning (DL) based on inertial measurement units (IMUs). We assessed its performance trained on all standardized FOG-provoking tasks and medication states, as well as on specific tasks and medication states. Furthermore, we examined the effect of adding stopping periods on FOG detection performance. METHODS Twelve PD patients with self-reported FOG (mean age 69.33 ± 6.02 years) completed a FOG-provoking protocol, including timed-up-and-go and 360-degree turning-in-place tasks in On/Off dopaminergic medication states with/without volitional stopping. IMUs were attached to the pelvis and both sides of the tibia and talus. A temporal convolutional network (TCN) was used to detect FOG episodes. FOG severity was quantified by the percentage of time frozen (%TF) and the number of freezing episodes (#FOG). The agreement between the model-generated outcomes and the gold standard experts' video annotation was assessed by the intra-class correlation coefficient (ICC). RESULTS For FOG assessment in trials without stopping, the agreement of our model was strong (ICC (%TF) = 0.92 [0.68, 0.98]; ICC(#FOG) = 0.95 [0.72, 0.99]). Models trained on a specific FOG-provoking task could not generalize to unseen tasks, while models trained on a specific medication state could generalize to unseen states. For assessment in trials with stopping, the agreement of our model was moderately strong (ICC (%TF) = 0.95 [0.73, 0.99]; ICC (#FOG) = 0.79 [0.46, 0.94]), but only when stopping was included in the training data. CONCLUSION A TCN trained on IMU signals allows valid FOG assessment in trials with/without stops containing different medication states and FOG-provoking tasks. These results are encouraging and enable future work investigating automated FOG assessment during everyday life.
Collapse
Affiliation(s)
- Po-Kai Yang
- eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium.
- Intelligent Mobile Platforms Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium.
| | - Benjamin Filtjens
- eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
- Intelligent Mobile Platforms Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
| | - Pieter Ginis
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001, Heverlee, Belgium
| | - Maaike Goris
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001, Heverlee, Belgium
| | - Alice Nieuwboer
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001, Heverlee, Belgium
| | - Moran Gilat
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001, Heverlee, Belgium
| | - Peter Slaets
- Intelligent Mobile Platforms Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
| | - Bart Vanrumste
- eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
| |
Collapse
|
11
|
Dammeyer C, Nüesch C, Visscher RMS, Kim YK, Ismailidis P, Wittauer M, Stoffel K, Acklin Y, Egloff C, Netzer C, Mündermann A. Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: A pilot study. J Orthop Res 2024. [PMID: 38341759 DOI: 10.1002/jor.25797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/21/2023] [Accepted: 01/19/2024] [Indexed: 02/13/2024]
Abstract
Elderly patients often have more than one disease that affects walking behavior. An objective tool to identify which disease is the main cause of functional limitations may aid clinical decision making. Therefore, we investigated whether gait patterns could be used to identify degenerative diseases using machine learning. Data were extracted from a clinical database that included sagittal joint angles and spatiotemporal parameters measured using seven inertial sensors, and anthropometric data of patients with unilateral knee or hip osteoarthritis, lumbar or cervical spinal stenosis, and healthy controls. Various classification models were explored using the MATLAB Classification Learner app, and the optimizable Support Vector Machine was chosen as the best performing model. The accuracy of discrimination between healthy and pathologic gait was 82.3%, indicating that it is possible to distinguish pathological from healthy gait. The accuracy of discrimination between the different degenerative diseases was 51.4%, indicating the similarities in gait patterns between diseases need to be further explored. Overall, the differences between pathologic and healthy gait are distinct enough to classify using a classical machine learning model; however, routinely recorded gait characteristics and anthropometric data are not sufficient for successful discrimination of the degenerative diseases.
Collapse
Affiliation(s)
- Constanze Dammeyer
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
- Department of Psychology and Sport Science, University of Bielefeld, Bielefeld, Germany
| | - Corina Nüesch
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Department of Spine Surgery, University Hospital Basel, Basel, Switzerland
| | - Rosa M S Visscher
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
| | - Yong K Kim
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
| | - Petros Ismailidis
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Matthias Wittauer
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Karl Stoffel
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Yves Acklin
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Christian Egloff
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
| | - Cordula Netzer
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
- Department of Spine Surgery, University Hospital Basel, Basel, Switzerland
| | - Annegret Mündermann
- Department of Orthopaedics and Traumatology, University Hospital Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
- Department of Clinical Research, University of Basel, Basel, Switzerland
| |
Collapse
|
12
|
Ho MY, Kuo MC, Chen CS, Wu RM, Chuang CC, Shih CS, Tseng YJ. Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait. IEEE J Biomed Health Inform 2024; 28:1066-1077. [PMID: 38064333 DOI: 10.1109/jbhi.2023.3340716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
We present PathoOpenGait, a cloud-based platform for comprehensive gait analysis. Gait assessment is crucial in neurodegenerative diseases such as Parkinson's and multiple system atrophy, yet current techniques are neither affordable nor efficient. PathoOpenGait utilizes 2D and 3D data from a binocular 3D camera for monitoring and analyzing gait parameters. Our algorithms, including a semi-supervised learning-boosted neural network model for turn time estimation and deterministic algorithms to estimate gait parameters, were rigorously validated on annotated gait records, demonstrating high precision and consistency. We further demonstrate PathoOpenGait's applicability in clinical settings by analyzing gait trials from Parkinson's patients and healthy controls. PathoOpenGait is the first open-source, cloud-based system for gait analysis, providing a user-friendly tool for continuous patient care and monitoring. It offers a cost-effective and accessible solution for both clinicians and patients, revolutionizing the field of gait assessment. PathoOpenGait is available at https://pathoopengait.cmdm.tw.
Collapse
|
13
|
Milane T, Hansen C, Correno MB, Chardon M, Barbieri FA, Bianchini E, Vuillerme N. Comparison of sleep characteristics between Parkinson's disease with and without freezing of gait: A systematic review. Sleep Med 2024; 114:24-41. [PMID: 38150950 DOI: 10.1016/j.sleep.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/03/2023] [Accepted: 11/15/2023] [Indexed: 12/29/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms. Among the motor complaints, freezing of gait (FOG) is a common and disabling phenomenon that episodically hinders patients' ability to produce efficient steps. Concurrently, sleep disorders are prevalent in PD and significantly impact the quality of life of affected individuals. Numerous studies have suggested a bidirectional relationship between FOG and sleep disorders. Therefore, our objective was to systematically review the literature and compare sleep outcomes in PD patients with FOG (PD + FOG) and those without FOG (PD-FOG). By conducting a comprehensive search of the PubMed and Web of Science databases, we identified 20 eligible studies for inclusion in our analysis. Our review revealed that compared to PD-FOG, PD + FOG patients exhibited more severe symptoms of rapid eye movement sleep behavior disorder in nine studies, increased daytime sleepiness in eight studies, decreased sleep quality in four studies, and more frequent and severe sleep disturbances in four studies. These findings indicate that PD + FOG patients generally experience worse sleep quality, higher levels of daytime sleepiness, and more disruptive sleep disturbances compared to those without FOG (PD-FOG). The association between sleep disturbances and FOG highlights the importance of evaluating and monitoring these symptoms in PD patients and open the possibility for future studies to assess the impact of managing sleep disturbances on the severity and occurrence of FOG, and vice versa.
Collapse
Affiliation(s)
- Tracy Milane
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Clint Hansen
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany.
| | - Mathias Baptiste Correno
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Matthias Chardon
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Fabio A Barbieri
- São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Edoardo Bianchini
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, 00189, Rome, Italy
| | - Nicolas Vuillerme
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; LabCom Telecom4Health, Orange Labs & Université Grenoble Alpes, CNRS, Inria, Grenoble INP-UGA, 38000, Grenoble, France; Institut Universitaire de France, 75005, Paris, France.
| |
Collapse
|
14
|
Lombardi G, Baccini M, Gualerzi A, Pancani S, Campagnini S, Doronzio S, Longo D, Maselli A, Cherubini G, Piazzini M, Ciapetti T, Polito C, Pinna S, De Santis C, Bedoni M, Macchi C, Ramat S, Cecchi F. Comparing the effects of augmented virtual reality treadmill training versus conventional treadmill training in patients with stage II-III Parkinson's disease: the VIRTREAD-PD randomized controlled trial protocol. Front Neurol 2024; 15:1338609. [PMID: 38327625 PMCID: PMC10847255 DOI: 10.3389/fneur.2024.1338609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/09/2024] [Indexed: 02/09/2024] Open
Abstract
Background Intensive treadmill training (TT) has been documented to improve gait parameters and functional independence in Parkinson's Disease (PD), but the optimal intervention protocol and the criteria for tailoring the intervention to patients' performances are lacking. TT may be integrated with augmented virtual reality (AVR), however, evidence of the effectiveness of this combined treatment is still limited. Moreover, prognostic biomarkers of rehabilitation, potentially useful to customize the treatment, are currently missing. The primary aim of this study is to compare the effects on gait performances of TT + AVR versus TT alone in II-III stage PD patients with gait disturbance. Secondary aims are to assess the effects on balance, gait parameters and other motor and non-motor symptoms, and patient's satisfaction and adherence to the treatment. As an exploratory aim, the study attempts to identify biomarkers of neuroplasticity detecting changes in Neurofilament Light Chain concentration T0-T1 and to identify prognostic biomarkers associated to blood-derived Extracellular Vesicles. Methods Single-center, randomized controlled single-blind trial comparing TT + AVR vs. TT in II-III stage PD patients with gait disturbances. Assessment will be performed at baseline (T0), end of training (T1), 3 (T2) and 6 months (T3, phone interview) from T1. The primary outcome is difference in gait performance assessed with the Tinetti Performance-Oriented Mobility Assessment gait scale at T1. Secondary outcomes are differences in gait performance at T2, in balance and spatial-temporal gait parameters at T1 and T2, patients' satisfaction and adherence. Changes in falls, functional mobility, functional autonomy, cognition, mood, and quality of life will be also assessed at different timepoints. The G*Power software was used to estimate a sample size of 20 subjects per group (power 0.95, α < 0.05), raised to 24 per group to compensate for potential drop-outs. Both interventions will be customized and progressive, based on the participant's performance, according to a predefined protocol. Conclusion This study will provide data on the possible superiority of AVR-associated TT over conventional TT in improving gait and other motor and non-motor symptoms in persons with PD and gait disturbances. Results of the exploratory analysis could add information in the field of biomarker research in PD rehabilitation.
Collapse
Affiliation(s)
- Gemma Lombardi
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | - Marco Baccini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | | | - Silvia Pancani
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | | | - Stefano Doronzio
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Diego Longo
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Alessandro Maselli
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Technical-Health Professions, Rehabilitation, and Prevention, Campostaggia Hospital, Poggibonsi (SI), USL Toscana Sudest, Italy
| | - Giulio Cherubini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | | | | | | | - Samuele Pinna
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Chiara De Santis
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Marzia Bedoni
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Silvia Ramat
- Parkinson Unit, Department of NeuroMuscular-Skeletal and Sensorial Organs, AOU Careggi, Florence, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| |
Collapse
|
15
|
Pauly L, Pauly C, Hansen M, Schröder VE, Rauschenberger A, Leist AK, Krüger R. Retrograde procedural memory is impaired in people with Parkinson's disease with freezing of gait. Front Aging Neurosci 2024; 15:1296323. [PMID: 38249718 PMCID: PMC10797621 DOI: 10.3389/fnagi.2023.1296323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/15/2023] [Indexed: 01/23/2024] Open
Abstract
Background Freezing of gait (FOG), is associated with impairment of different cognitive functions. Previous studies hypothesized that FOG may be due to a loss of automaticity. Research question To explore whether FOG is associated with impairment in cognitive functions, focusing on retrograde procedural memory, the memory responsible for the automatic, implicit stored procedures that have been acquired in earlier life stages. Methods In this cross-sectional, case-control study, 288 people with typical Parkinson's disease (PD) from the Luxembourg Parkinson's Study were assigned to Freezers (FOG+) and non-Freezers (FOG-) based on the MDS-UPDRS 2.13 (self-reported FOG episodes) and 3.11 (FOG evaluated by clinicians during gait assessment). Both groups were matched on age, sex and disease duration. Global cognition (MoCA), retrograde procedural memory and visuo-constructive abilities (CUPRO), psychomotor speed and mental flexibility (TMT) were assessed. Furthermore, we repeated our analyses by additionally controlling for depression (BDI-I). Results Besides lower global cognition (MoCA; p = 0.007) and mental flexibility (TMT-B and Delta-TMT; p < 0.001), FOG+ showed a lower performance in retrograde procedural memory (CUPRO-IS1; p < 0.001) compared to FOG-. After controlling additionally for depression, our main outcome variable CUPRO-IS1 remained significantly lower in FOG+ (p = 0.010). Conclusion Our findings demonstrated that besides lower global cognition and mental flexibility scores, FOG+ showed lower performance in retrograde procedural memory compared to matched FOG-control patients, even when accounting for factors such as age, sex, disease duration or depression. Significance In the context of limited treatment options, especially for non-invasive therapeutic approaches, these insights on procedural memory and FOG may lead to new hypotheses on FOG etiology and consequently the development of new treatment options.
Collapse
Affiliation(s)
- Laure Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg
| | - Claire Pauly
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg
| | - Maxime Hansen
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg
| | - Valerie E. Schröder
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg
| | - Armin Rauschenberger
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anja K. Leist
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg
| |
Collapse
|
16
|
Lench DH, Doolittle JD, Ramakrishnan V, Rowland N, Revuelta GJ. Subthalamic functional connectivity associated with freezing of gait dopa-response. Parkinsonism Relat Disord 2024; 118:105952. [PMID: 38101024 PMCID: PMC10872230 DOI: 10.1016/j.parkreldis.2023.105952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Freezing of gait (FOG) is a prevalent and debilitating feature of Parkinson's Disease (PD). The subthalamic nucleus (STN) is a center for controlled locomotion and a common DBS target. The objective of this study was to identify STN circuitry associated with FOG response to dopaminergic medication. In this study, we compare BOLD functional connectivity of the subthalamic nucleus (STN) in participants with and without dopa-responsive FOG. METHODS 55 PD participants either with FOG (n = 38) or without FOG (n = 17) were recruited. Among FOG participants 22 were dopa-responsive and 16 were dopa-unresponsive. STN whole-brain connectivity was performed using CONN toolbox. The relationship between the degree of self-reported FOG dopa-response and STN connectivity was evaluated using partial correlations corrected for age, disease duration, and levodopa equivalent daily dose. RESULTS Right STN connectivity with the cerebellar locomotor region and the temporal/occipital cortex was greater in the dopa-responsive FOG group (voxel threshold p < 0.01, FWE corrected p < 0.05). Left STN connectivity with the occipital cortex was greater in the dopa-responsive FOG group and connectivity with the postcentral gyrus was greater in the dopa-unresponsive FOG group. Strength of connectivity to these regions correlated with l-dopa induced improvement in UPDRS Item-14 (FOG), but not UPDRS Part-III (overall motor score). DISCUSSION We demonstrate that dopa-unresponsive FOG is associated with changes in BOLD functional connectivity between the STN and locomotor as well as sensory processing regions. This finding supports the conceptual framework that effective treatment for freezing of gait likely requires the engagement of both locomotor and sensory brain regions.
Collapse
Affiliation(s)
- Daniel H. Lench
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | - Jade D. Doolittle
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | | | - Nathan Rowland
- Department of Neurosurgery, Medical University of South Carlina, Charleston, SC, USA
- MUSC Institute for Neuroscience Discovery (MIND), Medical University of South Carolina, Charleston, SC 29425, USA
| | - Gonzalo J. Revuelta
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| |
Collapse
|
17
|
Kim J, Porciuncula F, Yang HD, Wendel N, Baker T, Chin A, Ellis TD, Walsh CJ. Soft robotic apparel to avert freezing of gait in Parkinson's disease. Nat Med 2024; 30:177-185. [PMID: 38182783 DOI: 10.1038/s41591-023-02731-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 11/21/2023] [Indexed: 01/07/2024]
Abstract
Freezing of gait (FoG) is a profoundly disruptive gait disturbance in Parkinson's disease, causing unintended stops while walking. Therapies for FoG reveal modest and transient effects, resulting in a lack of effective treatments. Here we show proof of concept that FoG can be averted using soft robotic apparel that augments hip flexion. The wearable garment uses cable-driven actuators and sensors, generating assistive moments in concert with biological muscles. In this n-of-1 trial with five repeated measurements spanning 6 months, a 73-year-old male with Parkinson's disease and substantial FoG demonstrated a robust response to robotic apparel. With assistance, FoG was instantaneously eliminated during indoor walking (0% versus 39 ± 16% time spent freezing when unassisted), accompanied by 49 ± 11 m (+55%) farther walking compared to unassisted walking, faster speeds (+0.18 m s-1) and improved gait quality (-25% in gait variability). FoG-targeting effects were repeatable across multiple days, provoking conditions and environment contexts, demonstrating potential for community use. This study demonstrated that FoG was averted using soft robotic apparel in an individual with Parkinson's disease, serving as an impetus for technological advancements in response to this serious yet unmet need.
Collapse
Affiliation(s)
- Jinsoo Kim
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Franchino Porciuncula
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
- Department of Physical Therapy, Boston University, Boston, MA, USA
| | - Hee Doo Yang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Nicholas Wendel
- Department of Physical Therapy, Boston University, Boston, MA, USA
| | - Teresa Baker
- Department of Physical Therapy, Boston University, Boston, MA, USA
| | - Andrew Chin
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Terry D Ellis
- Department of Physical Therapy, Boston University, Boston, MA, USA.
| | - Conor J Walsh
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
| |
Collapse
|
18
|
Nuic D, van de Weijer S, Cherif S, Skrzatek A, Zeeboer E, Olivier C, Corvol J, Foulon P, Pastor JZ, Mercier G, Lau B, Bloem BR, De Vries NM, Welter M. Home-based exergaming to treat gait and balance disorders in patients with Parkinson's disease: A phase II randomized controlled trial. Eur J Neurol 2024; 31:e16055. [PMID: 37691341 PMCID: PMC11236010 DOI: 10.1111/ene.16055] [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: 01/25/2023] [Revised: 07/26/2023] [Accepted: 08/21/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Exergaming has been proposed to improve gait and balance disorders in Parkinson's disease (PD) patients. We aimed to assess the efficacy of a home-based, tailored, exergaming training system designed for PD patients with dopa-resistant gait and/or balance disorders in a controlled randomized trial. METHODS We recruited PD patients with dopa-resistant gait and/or balance disorders. Patients were randomly assigned (1:1 ratio) to receive 18 training sessions at home by playing a tailored exergame with full-body movements using a motion capture system (Active group), or by playing the same game with the computer's keyboard (Control group). The primary endpoint was the between-group difference in the Stand-Walk-Sit Test (SWST) duration change after training. Secondary outcomes included parkinsonian clinical scales, gait recordings, and safety. RESULTS Fifty PD patients were enrolled and randomized. After training, no significant difference in SWST change was found between groups (mean change SWST duration [SD] -3.71 [18.06] s after Active versus -0.71 [3.41] s after Control training, p = 0.61). Some 32% of patients in the Active and 8% in the Control group were considered responders to the training program (e.g., SWST duration change ≥2 s, p = 0.03). The clinical severity of gait and balance disorders also significantly decreased after Active training, with a between-group difference in favor of the Active training (p = 0.0082). Home-based training induced no serious adverse events. CONCLUSIONS Home-based training using a tailored exergame can be performed safely by PD patients and could improve gait and balance disorders. Future research is needed to investigate the potential of exergaming.
Collapse
Affiliation(s)
- Dijana Nuic
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
- LabCom Brain e‐NovationParis Brain InstituteParisFrance
| | - Sjors van de Weijer
- Donders Institute for Brain, Cognition, and Behavior and Department of NeurologyCenter of Expertise for Parkinson and MovementRadboud University Medical CenterNijmegenThe Netherlands
- Department of NeurologyMaastricht University Medical CenterMaastrichtThe Netherlands
| | - Saoussen Cherif
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
- LabCom Brain e‐NovationParis Brain InstituteParisFrance
| | - Anna Skrzatek
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
| | - Eline Zeeboer
- Donders Institute for Brain, Cognition, and Behavior and Department of NeurologyCenter of Expertise for Parkinson and MovementRadboud University Medical CenterNijmegenThe Netherlands
| | - Claire Olivier
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
- PANAM core facilityINSERM 1127Paris Brain InstituteParisFrance
| | - Jean‐Christophe Corvol
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
- Clinical Investigation CenterAssistance Publique Hôpitaux de ParisParisFrance
| | - Pierre Foulon
- LabCom Brain e‐NovationParis Brain InstituteParisFrance
- GENIOUS HealthcareMontpellierFrance
| | | | - Gregoire Mercier
- Biostatistics DepartmentCHU de MontpellierMontpellierFrance
- IDESP UA11Université de MontpellierINSERMMontpellierFrance
| | - Brian Lau
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
| | - Bastiaan R. Bloem
- Donders Institute for Brain, Cognition, and Behavior and Department of NeurologyCenter of Expertise for Parkinson and MovementRadboud University Medical CenterNijmegenThe Netherlands
| | - Nienke M. De Vries
- Donders Institute for Brain, Cognition, and Behavior and Department of NeurologyCenter of Expertise for Parkinson and MovementRadboud University Medical CenterNijmegenThe Netherlands
| | - Marie‐Laure Welter
- Paris Brain InstituteCNRS UMR 7225INSERM 1127Sorbonne UniversityParisFrance
- LabCom Brain e‐NovationParis Brain InstituteParisFrance
- PANAM core facilityINSERM 1127Paris Brain InstituteParisFrance
- CHU RouenNeurophysiology DepartmentRouen UniversityRouenFrance
| |
Collapse
|
19
|
Conde CI, Lang C, Baumann CR, Easthope CA, Taylor WR, Ravi DK. Triggers for freezing of gait in individuals with Parkinson's disease: a systematic review. Front Neurol 2023; 14:1326300. [PMID: 38187152 PMCID: PMC10771308 DOI: 10.3389/fneur.2023.1326300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Background Freezing of Gait (FOG) is a motor symptom frequently observed in advanced Parkinson's disease. However, due to its paroxysmal nature and diverse presentation, assessing FOG in a clinical setting can be challenging. Before FOG can be fully investigated, it is critical that a reliable experimental setting is established in which FOG can be evoked in a standardized manner, but the efficacy of various gait tasks and triggers for eliciting FOG remains unclear. Objectives This study aimed to conduct a systematic review of the existing literature and evaluate the available evidence for the relationship between specific motor tasks, triggers, and FOG episodes in individuals with Parkinson's disease (PwPD). Methods We conducted a literature search on four online databases (PubMed, Web of Science, EMBASE, and Cochrane Library) using the keywords "Parkinson's disease," "Freezing of Gait", "triggers" and "tasks". A total of 128 articles met the inclusion criteria and were included in our analysis. Results The review found that a wide range of gait tasks were employed in studies assessing FOG among PD patients. However, three tasks (turning, dual tasking, and straight walking) emerged as the most frequently used. Turning (28%) appears to be the most effective trigger for eliciting FOG in PwPD, followed by walking through a doorway (14%) and dual tasking (10%). Conclusion This review thereby supports the utilisation of turning, especially a 360-degree turn, as a reliable trigger for FOG in PwPD. This finding could be beneficial to clinicians conducting clinical evaluations and researchers aiming to assess FOG in a laboratory environment.
Collapse
Affiliation(s)
| | - Charlotte Lang
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
| | - Christian R. Baumann
- Department of Neurology, University Hospital Zurich, Zürich, Switzerland
- The LOOP Zurich – Medical Research Center, Zürich, Switzerland
| | - Chris A. Easthope
- The LOOP Zurich – Medical Research Center, Zürich, Switzerland
- Lake Lucerne Institute, Vitznau, Switzerland
- creneo Foundation – Center for Interdisciplinary Research, Vitznau, Switzerland
| | - William R. Taylor
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
- The LOOP Zurich – Medical Research Center, Zürich, Switzerland
| | - Deepak K. Ravi
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
| |
Collapse
|
20
|
Yin N, Wang H, Wang Z, Feng K, Xu G, Yin S. A study of brain networks associated with Freezing of gait in Parkinson's disease using transfer entropy analysis. Brain Res 2023; 1821:148610. [PMID: 37783260 DOI: 10.1016/j.brainres.2023.148610] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is a common neurodegenerative disease in the elderly. Freezing of Gait (FOG) is one of the common motor symptoms of PD, but the potential mechanism remains unclear. This study aimed to investigate the changes of brain functional network topology in PD patients with FOG. METHODS The resting electroencephalogram (EEG) were acquired from15 PD patients with FOG (PD-FOG), 13 PD patients without FOG (PD-nFOG), and 16 healthy control (HC). Cognitive and motor functions were assessed using subjective scales. The whole-brain functional networks were constructed based on transfer entropy. Transfer entropy was used to analyse the information flow and causality in the network and the network connectivity was analyzed by graph theory. The characteristics of PD-FOG and PD-nFOG were compared by receiver operator characteristic (ROC) curve analysis. RESULTS The θ bands brain network of PD-FOG, PD-nFOG and HC group was significantly different (P < 0.05). The average characteristic path length of the θ bands brain network was positively correlated with FOG Questionnaire (FOGQ). PD-FOG and PD-nFOG get high classification accuracy according to this feature. The information inflow in the frontal and occipital lobes and information outflow in the temporal lobe of PD-FOG patients in the θ bands increased significantly. CONCLUSIONS The whole-brain functional network characteristics of PD-FOG in the θ bands can serve as potential biomarkers for early diagnosis of PD-FOG. Abnormal information flow of the frontal, occipital, and temporal lobes in the θ bands may be an important factor leading to FOG.
Collapse
Affiliation(s)
- Ning Yin
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Haili Wang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Zhaoya Wang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Keke Feng
- Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China
| | - Guizhi Xu
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300130, China; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Shaoya Yin
- Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China.
| |
Collapse
|
21
|
Malmir K, Ashrafganjooie M. Effects of HiBalance training program on physical function of individuals with idiopathic Parkinson disease: a systematic review and meta-analysis. Eur Geriatr Med 2023; 14:1273-1288. [PMID: 37698784 DOI: 10.1007/s41999-023-00860-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/28/2023] [Indexed: 09/13/2023]
Abstract
PURPOSE The effectiveness of the HiBalance training program for individuals with Parkinson disease (PD) remains debated, prompting a systematic investigation. This study aims to assess whether the HiBalance training program yields favorable outcomes on physical function and self-reported function measures in PD individuals. METHODS A systematic search across PubMed, Cochrane Library, Ovid, Scopus, and PEDro databases identified studies exploring HiBalance training's impact on physical function in idiopathic PD. Publication date restrictions were not applied. Two independent reviewers evaluated bias risk using the Cochrane Risk of Bias tool and study quality using the PEDro scale. Effect size (standardized mean difference, SMD) and heterogeneity (Higgins I2) were determined. RESULTS Six studies underwent qualitative analysis, with two randomized-controlled trials and one multi-center clinical trial being included in the meta-analysis. HiBalance training exhibited a significant impact on physical function (SMD = 0.49; P = 0.0003). The Mini-BESTest score and gait velocity displayed improvements with moderate-effect sizes. However, solely gait velocity showed clinical enhancement. Yet, these benefits did not remain at the 6- and 12-month follow-ups post-intervention. Self-reported function measures showed no alteration post-HiBalance training. Publication bias was absent. CONCLUSION HiBalance training led to clinically significant improvements solely in gait velocity, though these gains waned over time. The findings suggest the necessity of refining the HiBalance program to sustain positive outcomes and ensure lasting enhancements. This underscores the importance of post-HiBalance training exercise programs to maintain benefits in the long term. PROSPERO REGISTRATION NUMBER The protocol of this review and meta-analysis was registered at PROSPERO (CRD42022325649). Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022325649 .
Collapse
Affiliation(s)
- Kazem Malmir
- School of Rehabilitation, Physical Therapy Department, Tehran University of Medical Sciences, P. O. Box: 113635-1683, Tehran, Iran.
| | - Majid Ashrafganjooie
- School of Paramedical Sciences, Physical Therapy Department, Kerman University of Medical Sciences, Kerman, Iran
| |
Collapse
|
22
|
Li D, Hallack A, Gwilym S, Li D, Hu MT, Cantley J. Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson's disease. Biomed Eng Online 2023; 22:108. [PMID: 37974260 PMCID: PMC10652624 DOI: 10.1186/s12938-023-01167-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023] Open
Abstract
Freezing-of-gait (FOG) and impaired walking are common features of Parkinson's disease (PD). Provision of external stimuli (cueing) can improve gait, however, many cueing methods are simplistic, increase task loading or have limited utility in a real-world setting. Closed-loop (automated) somatosensory cueing systems have the potential to deliver personalised, discrete cues at the appropriate time, without requiring user input. Further development of cue delivery methods and FOG-detection are required to achieve this. In this feasibility study, we aimed to test if FOG-initiated vibration cues applied to the lower-leg via wearable devices can improve gait in PD, and to develop real-time FOG-detection algorithms. 17 participants with Parkinson's disease and daily FOG were recruited. During 1 h study sessions, participants undertook 4 complex walking circuits, each with a different intervention: continuous rhythmic vibration cueing (CC), responsive cueing (RC; cues initiated by the research team in response to FOG), device worn with no cueing (NC), or no device (ND). Study sessions were grouped into 3 stages/blocks (A-C), separated by a gap of several weeks, enabling improvements to circuit design and the cueing device to be implemented. Video and onboard inertial measurement unit (IMU) data were analyzed for FOG events and gait metrics. RC significantly improved circuit completion times demonstrating improved overall performance across a range of walking activities. Step frequency was significantly enhanced by RC during stages B and C. During stage C, > 10 FOG events were recorded in 45% of participants without cueing (NC), which was significantly reduced by RC. A machine learning framework achieved 83% sensitivity and 80% specificity for FOG detection using IMU data. Together, these data support the feasibility of closed-loop cueing approaches coupling real-time FOG detection with responsive somatosensory lower-leg cueing to improve gait in PD.
Collapse
Affiliation(s)
- Dongli Li
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford, OX2 3PT, UK
| | - Andre Hallack
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford, OX2 3PT, UK
| | - Sophie Gwilym
- Oxfordshire Neurophysiotherapy, The Bosworth Clinic, Quarry Court, Bell Lane, Cassington, OX29 4DS, UK
| | - Dongcheng Li
- Department of Computer Science, University of Texas at Dallas, Richardson, TX, 75082, USA
| | - Michele T Hu
- Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, Division of Neurology, University of Oxford, Oxford, Oxfordshire, UK
| | - James Cantley
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford, OX2 3PT, UK.
- Division of Systems Medicine, Ninewells Hospital & Medical School, University of Dundee, James Arrott Drive, Dundee, DD1 9SY, UK.
| |
Collapse
|
23
|
Fan H, Guo Z, Jiang Y, Xue T, Yin Z, Xie H, Diao Y, Hu T, Zhao B, Wu D, An Q, Xu Y, Gao Y, Bai Y, Zhang J. Optimal subthalamic stimulation sites and related networks for freezing of gait in Parkinson's disease. Brain Commun 2023; 5:fcad238. [PMID: 37701817 PMCID: PMC10493641 DOI: 10.1093/braincomms/fcad238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 07/10/2023] [Accepted: 09/02/2023] [Indexed: 09/14/2023] Open
Abstract
Freezing of gait is a common and debilitating symptom in Parkinson's disease. Although high-frequency subthalamic deep brain stimulation is an effective treatment for Parkinson's disease, post-operative freezing of gait severity has been reported to alleviate, deteriorate or remain constant. We conducted this study to explore the optimal stimulation sites and related connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait in Parkinson's disease. A total of 76 Parkinson's disease patients with freezing of gait who underwent bilateral high-frequency subthalamic stimulation were retrospectively included. The volumes of tissue activated were estimated based on individual electrode reconstruction. The optimal and sour stimulation sites were calculated at coordinate/voxel/mapping level and mapped to anatomical space based on patient-specific images and stimulation settings. The structural and functional predictive connectivity networks for the change of the post-operative Freezing of Gait-Questionnaire were also identified based on normative connectomes derived from the Parkinson's Progression Marker Initiative database. Leave-one-out cross-validation model validated the above results, and the model remained significant after including covariates. The dorsolateral two-thirds of the subthalamic nucleus was identified as the optimal stimulation site, while the ventrocentral portion of the right subthalamic nucleus and internal capsule surrounding the left central subthalamic nucleus were considered as the sour stimulation sites. Modulation of the fibre tracts connecting to the supplementary motor area, pre-supplementary motor area and pedunculopontine nucleus accounted for the alleviation of freezing of gait, whereas tracts connecting to medial and ventrolateral prefrontal cortices contributed to the deterioration of freezing of gait. The optimal/sour stimulation sites and structural/functional predictive connectivity networks for high-frequency subthalamic deep brain stimulation treating freezing of gait are identified and validated through sizable Parkinson's disease patients in this study. With the growing understanding of stimulation sites and related networks, individualized deep brain stimulation treatment with directional leads will become an optimal choice for Parkinson's disease patients with freezing of gait in the future.
Collapse
Affiliation(s)
- Houyou Fan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zijian Guo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- School of Biomedical Engineering, Capital Medical University, 100069 Beijing, China
| | - Yin Jiang
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Tao Xue
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yu Diao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Baotian Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yichen Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Yuan Gao
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China
- Department of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, 100070 Beijing, China
- Beijing Key Laboratory of Neurostimulation, 100070 Beijing, China
| |
Collapse
|
24
|
Goh L, Canning CG, Song J, Clemson L, Allen NE. The effect of rehabilitation interventions on freezing of gait in people with Parkinson's disease is unclear: a systematic review and meta-analyses. Disabil Rehabil 2023; 45:3199-3218. [PMID: 36106644 DOI: 10.1080/09638288.2022.2120099] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 08/21/2022] [Accepted: 08/29/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE To summarize the effects of rehabilitation interventions to reduce freezing of gait (FOG) in people with Parkinson's disease. METHODS A systematic review with meta-analyses of randomized trials of rehabilitation interventions that reported a FOG outcome was conducted. Quality of included studies and certainty of FOG outcome were assessed using the PEDro scale and GRADE framework. RESULTS Sixty-five studies were eligible, with 62 trialing physical therapy/exercise, and five trialing cognitive and/or behavioral therapies. All meta-analyses produced very low-certainty evidence. Physical therapy/exercise had a small effect on reducing FOG post-intervention compared to control (Hedges' g= -0.26, 95% CI= -0.38 to -0.14, 95% prediction interval (PI)= -0.38 to -0.14). We are uncertain of the effects on FOG post-intervention when comparing: exercise with cueing to without cueing (Hedges' g= -0.58, 95% CI= -0.86 to -0.29, 95% PI= -1.23 to 0.08); action observation training plus movement strategy practice to practice alone (Hedges' g= -0.56, 95% CI= -1.16 to 0.05); and dance to multimodal exercises (Hedges' g= -0.64, 95% CI= -1.53 to 0.25). CONCLUSIONS We are uncertain if physical therapy/exercise, cognitive or behavioral therapies, are effective at reducing FOG.Implications for rehabilitationFOG leads to impaired mobility and falls, but the effect of rehabilitation interventions (including physical therapy/exercise and cognitive/behavioral therapies) on FOG is small and uncertain.Until more robust evidence is generated, clinicians should assess FOG using both self-report and physical measures, as well as other related impairments such as cognition, anxiety, and fear of falling.Interventions for FOG should be personalized based on the individual's triggers and form part of a broader exercise program addressing gait, balance, and falls prevention.Interventions should continue over the long term and be closely monitored and adjusted as individual circumstances change.
Collapse
Affiliation(s)
- Lina Goh
- Discipline of Physiotherapy, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Colleen G Canning
- Discipline of Physiotherapy, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Jooeun Song
- Discipline of Physiotherapy, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Lindy Clemson
- Discipline of Occupational Therapy, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Natalie E Allen
- Discipline of Physiotherapy, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| |
Collapse
|
25
|
Scully AE, Neo K, Lim E, Manharlal PK, de Oliveira B, Hill KD, Clark R, Pua YH, Tan D. Reliability and variability of physiotherapists scoring freezing of gait through video analysis. Physiother Theory Pract 2023:1-11. [PMID: 37639503 DOI: 10.1080/09593985.2023.2252059] [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: 05/27/2023] [Revised: 08/18/2023] [Accepted: 08/18/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND The "gold standard" marker for freezing of gait severity is percentage of time spent with freezing observed through video analysis. OBJECTIVE This study examined inter- and intra-rater reliability and variability of physiotherapists rating freezing of gait severity through video analysis and explored the effects of experience. METHODS Thirty physiotherapists rated 14 videos of Timed Up and Go performance by people with Parkinson's and gait freezing. Ten videos were unique, while four were repeated. Freezing frequency, total duration, and percentage of time spent with freezing were computed. Reliability and variability were estimated using ICC (2,1) and mean absolute differences. Between-group differences were calculated with the one-way ANOVA. RESULTS Inter- and intra-rater reliability ranged from moderate to good (ICC: inter-rater frequency = 0.63, duration = 0.78, percentage = 0.50; intra-rater frequency = 0.84, duration = 0.89, percentage = 0.50). Variability for freezing frequency was two episodes. Inter- and intra-rater variability for total freezing duration was 18.8 and 12.3 seconds, respectively. For percentage of time spent with freezing, this was 15.2% and 13.5%. Physiotherapy experience had no effect. CONCLUSION Physiotherapists demonstrated sufficient reliability, but variability was large enough to cause changes in severity classifications on existing rating scales. Percentage of time spent with freezing was the least reliable marker, supporting the use of freezing frequency or total duration instead.
Collapse
Affiliation(s)
- Aileen E Scully
- Curtin School of Allied Health, Curtin University, Bentley, Western Australia, Australia
- Health and Social Sciences, Singapore Institute of Technology, Singapore
| | - Kenneth Neo
- Health and Social Sciences, Singapore Institute of Technology, Singapore
| | - Eunice Lim
- Health and Social Sciences, Singapore Institute of Technology, Singapore
| | - Prakash K Manharlal
- Department of Neurology (SGH Campus), National Neuroscience Institute @Singapore General Hospital, Singapore
| | - Beatriz de Oliveira
- Curtin School of Allied Health, Curtin University, Bentley, Western Australia, Australia
| | - Keith D Hill
- Rehabilitation, Ageing and Independent Living (RAIL) Research Centre, Monash University, Frankston, Victoria, Australia
| | - Ross Clark
- School of Health, University of the Sunshine Coast, Queensland, Australia
| | - Yong Hao Pua
- Department of Physiotherapy, Singapore General Hospital, Singapore
| | - Dawn Tan
- Health and Social Sciences, Singapore Institute of Technology, Singapore
- Department of Physiotherapy, Singapore General Hospital, Singapore
| |
Collapse
|
26
|
Yarnall AJ, Morris R. A cholinergic contribution to postural control and freezing of gait in Parkinson's disease. Brain 2023; 146:3110-3111. [PMID: 37403729 PMCID: PMC10393389 DOI: 10.1093/brain/awad223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 07/06/2023] Open
Abstract
This scientific commentary refers to ‘Cholinergic system correlates of postural control changes in Parkinson's disease freezers’ by Roytman et al. (https://doi.org/10.1093/brain/awad134).
Collapse
Affiliation(s)
- Alison J Yarnall
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, UK
- Newcastle upon Tyne NHS Foundation Trust, Newcastle, UK
| | - Rosie Morris
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK
| |
Collapse
|
27
|
Bao Y, Ya Y, Liu J, Zhang C, Wang E, Fan G. Regional homogeneity and functional connectivity of freezing of gait conversion in Parkinson's disease. Front Aging Neurosci 2023; 15:1179752. [PMID: 37502425 PMCID: PMC10370278 DOI: 10.3389/fnagi.2023.1179752] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 06/22/2023] [Indexed: 07/29/2023] Open
Abstract
Background Freezing of gait (FOG) is common in the late stage of Parkinson's disease (PD), which can lead to disability and impacts the quality of life. Therefore, early recognition is crucial for therapeutic intervention. We aimed to explore the abnormal regional homogeneity (ReHo) and functional connectivity (FC) in FOG converters and evaluate their diagnostic values. Methods The data downloaded from the Parkinson's Disease Progression Markers Project (PPMI) cohort was subdivided into PD-FOG converters (n = 16) and non-converters (n = 17) based on whether FOG appeared during the 3-year follow-up; 16 healthy controls were well-matched. ReHo and FC analyses were used to explore the variations in spontaneous activity and interactions between significant regions among three groups of baseline data. Correlations between clinical variables and the altered ReHo values were assessed in FOG converter group. Last, logistic regression and receiver operating characteristic curve (ROC) were used to predict diagnostic value. Results Compared with the non-converters, FOG converters had reduced ReHo in the bilateral medial superior frontal gyrus (SFGmed), which was negatively correlated with the postural instability and gait difficulty (PIGD) score. ReHo within left amygdala/olfactory cortex/putamen (AMYG/OLF/PUT) was decreased, which was correlated with anxiety and autonomic dysfunction. Also, increased ReHo in the left supplementary motor area/paracentral lobule was positively correlated with the rapid eye movement sleep behavior disorder screening questionnaire. FOG converters exhibited diminished FC in the basal ganglia, limbic area, and cognitive control cortex, as compared with non-converters. The prediction model combined ReHo of basal ganglia and limbic area, with PIGD score was the best predictor of FOG conversion. Conclusion The current results suggested that abnormal ReHo and FC in the basal ganglia, limbic area, and cognitive control cortex may occur in the early stage of FOG. Basal ganglia and limbic area dysfunction combined with higher PIGD score are useful for the early recognition of FOG conversion.
Collapse
Affiliation(s)
- Yiqing Bao
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Ya
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jing Liu
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chenchen Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guohua Fan
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| |
Collapse
|
28
|
Vanegas-Arroyave N, Jankovic J. Spinal cord stimulation for gait disturbances in Parkinson's disease. Expert Rev Neurother 2023; 23:651-659. [PMID: 37345383 DOI: 10.1080/14737175.2023.2228492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 06/18/2023] [Indexed: 06/23/2023]
Abstract
INTRODUCTION Gait disturbances are a major contributor to the disability associated with Parkinson's disease. Although pharmacologic therapies and deep brain stimulation improve most motor parkinsonian features, their effects on gait are highly variable. Spinal cord stimulation, typically used for the treatment of chronic pain, has emerged as a potential therapeutic approach to improve gait disturbances in Parkinson's disease. AREAS COVERED The authors review the available evidence on the effects of spinal cord stimulation in patients with Parkinson's disease, targeting primarily gait abnormalities. They also discuss possible mechanisms, safety, and methodological implications for future clinical trials. This systematic review of originally published articles in English language was performed using The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA).
Collapse
Affiliation(s)
- Nora Vanegas-Arroyave
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| |
Collapse
|
29
|
Chen Y, Wang H, Huang H, Chen Y, Xu Y. Freezing of gait in Chinese patients with multiple system atrophy: prevalence and risk factors. Front Neurosci 2023; 17:1194904. [PMID: 37351425 PMCID: PMC10282176 DOI: 10.3389/fnins.2023.1194904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/22/2023] [Indexed: 06/24/2023] Open
Abstract
Objective Freezing of gait (FOG) is common in neurodegenerative forms of atypical parkinsonism, but few studies have examined FOG in multiple system atrophy (MSA). In this study, we examined the prevalence of freezing of gait and its relationship to clinical features in a large cohort of Chinese MSA patients. Methods This exploratory study included 202 Chinese patients with probable MSA. FOG was defined as a score ≥ 1 on item 14 of the Unified Parkinson's Disease Rating Scale. Patients with or without FOG were compared in terms of the Unified MSA Rating Scale (UMSARS) as well as cognitive and neuropsychiatric assessments. Results The frequency of FOG was 48.0, 52.1, and 38.7% in MSA, MSA with predominant parkinsonism (MSA-P), and MSA with predominant cerebellar ataxia (MSA-C), respectively. FOG was associated with worse subscores on parts I, II and IV of the UMSARS as well as worse total UMSARS score; greater likelihood of speech difficulties, falls, gait impairment and balance disorder; more severe symptoms of anxiety and depression; and lower activities of daily living. The binary logistic regression model indicated that higher total UMSARS scores were associated with FOG in MSA, MSA-P, and MSA-C patients. Conclusion Freezing of gait may be common among Chinese MSA patients, FOG may correlate with severe motor symptoms, anxiety, depression and activities of daily living. Total UMSARS score may be an independent risk factor for FOG.
Collapse
Affiliation(s)
- Yalan Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hui Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongyan Huang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yanming Xu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
30
|
Hanff AM, McCrum C, Rauschenberger A, Aguayo GA, Zeegers MP, Leist AK, Krüger R. Validation of a Parkinson's disease questionnaire-39-based functional mobility composite score (FMCS) in people with Parkinson's disease. Parkinsonism Relat Disord 2023; 112:105442. [PMID: 37210979 DOI: 10.1016/j.parkreldis.2023.105442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/26/2023] [Accepted: 05/07/2023] [Indexed: 05/23/2023]
Abstract
INTRODUCTION Functional mobility is an important outcome for people with Parkinson's disease (PwP). Despite this, there is no established patient-reported outcome measure that serves as a gold standard for assessing patient-reported functional mobility in PwP. We aimed to validate the algorithm calculating the Parkinson's Disease Questionnaire-39 (PDQ-39) based Functional Mobility Composite Score (FMCS). METHODS We designed a count-based algorithm to measure patient-reported functional mobility in PwP from items of the PDQ-39 subscales mobility and activities of daily living. Convergent validity of the algorithm calculating the PDQ-39-based FMCS was assessed using the objective Timed Up and Go (n = 253) and discriminative validity was assessed by comparing the FMCS with patient-reported (MDS-UPDRS II) and clinician-assessed (MDS-UPDRS III) motor symptoms as well as between disease stages (H&Y) and PIGD phenotypes (n = 736). Participants were between 22 and 92 years old, with a disease duration from 0 to 32 years and 64.9% in a H&Y 1-2 ranging from 1 to 5. RESULTS Spearman correlation coefficients (rs) ranging from -0.45 to -0.77 (p < 0.001) indicated convergent validity. Hence, a t-test suggested sufficient ability of the FMCS to discriminate (p < 0.001) between patient-reported and clinician-assessed motor symptoms. More specifically, FMCS was more strongly associated with patient-reported MDS-UPDRS II (rs = -0.77) than clinician-reported MDS-UPDRS III (rs = -0.45) and can discriminate between disease stages as between PIGD phenotypes (p < 0.001). CONCLUSION The FMCS is a valid composite score to assess functional mobility through patient reports in PwP for studying functional mobility in studies using the PDQ-39.
Collapse
Affiliation(s)
- Anne-Marie Hanff
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg; Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - Christopher McCrum
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, the Netherlands; Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Armin Rauschenberger
- Biomedical Data Science, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Gloria A Aguayo
- Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Maurice P Zeegers
- Department of Epidemiology, NUTRIM School of Nutrition and Translational Research in Metabolism, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Anja K Leist
- Department of Social Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg; Translational Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| |
Collapse
|
31
|
Kim J, Kim Y, Moon J, Kong J, Kim SJ. Biomechanical Analysis of the Unaffected Limb While Using a Hands-Free Crutch. J Funct Morphol Kinesiol 2023; 8:jfmk8020056. [PMID: 37218852 DOI: 10.3390/jfmk8020056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/20/2023] [Accepted: 04/23/2023] [Indexed: 05/24/2023] Open
Abstract
Basic human ambulation relies on a bipedal gait, which has been reported to be directly related to quality of life. However, injuries to the lower limb can cause an inability to walk and require non-weightbearing periods to heal. Among the many ambulatory aids, standard axillary crutches are prescribed. However, due to the disadvantages of having to use both hands, a slow gait, pain, nerve damage, and gait patterns that differ from that of healthy subjects, currently, a new generation of ambulatory aids has emerged. Among such aids, hands-free crutches (HFCs) are of particular interest due to their form factor, which does not require the use of the hands and facilitates a bipedal gait. In this study, we present an assessment of whether any different gait patterns, compared to overground gait, appeared on the unaffected limb during walking with an HFC. The spatiotemporal parameters, plantar force, lower-limb joint angles, and EMG patterns were evaluated. In conclusion, the results from 10 healthy subjects suggest that wearing an HFC causes only slight changes in the biomechanical gait patterns examined in the unaffected limb compared with overground walking without an HFC.
Collapse
Affiliation(s)
- Jaewook Kim
- Department of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Yekwang Kim
- Department of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Juhui Moon
- Department of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Joo Kong
- Department of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea
| | - Seung-Jong Kim
- Department of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Republic of Korea
| |
Collapse
|
32
|
Riederer P, Nagatsu T, Youdim MBH, Wulf M, Dijkstra JM, Sian-Huelsmann J. Lewy bodies, iron, inflammation and neuromelanin: pathological aspects underlying Parkinson's disease. J Neural Transm (Vienna) 2023; 130:627-646. [PMID: 37062012 PMCID: PMC10121516 DOI: 10.1007/s00702-023-02630-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 03/29/2023] [Indexed: 04/17/2023]
Abstract
Since the description of some peculiar symptoms by James Parkinson in 1817, attempts have been made to define its cause or at least to enlighten the pathology of "Parkinson's disease (PD)." The vast majority of PD subtypes and most cases of sporadic PD share Lewy bodies (LBs) as a characteristic pathological hallmark. However, the processes underlying LBs generation and its causal triggers are still unknown. ɑ-Synuclein (ɑ-syn, encoded by the SNCA gene) is a major component of LBs, and SNCA missense mutations or duplications/triplications are causal for rare hereditary forms of PD. Thus, it is imperative to study ɑ-syn protein and its pathology, including oligomerization, fibril formation, aggregation, and spreading mechanisms. Furthermore, there are synergistic effects in the underlying pathogenic mechanisms of PD, and multiple factors-contributing with different ratios-appear to be causal pathological triggers and progression factors. For example, oxidative stress, reduced antioxidative capacity, mitochondrial dysfunction, and proteasomal disturbances have each been suggested to be causal for ɑ-syn fibril formation and aggregation and to contribute to neuroinflammation and neural cell death. Aging is also a major risk factor for PD. Iron, as well as neuromelanin (NM), show age-dependent increases, and iron is significantly increased in the Parkinsonian substantia nigra (SN). Iron-induced pathological mechanisms include changes of the molecular structure of ɑ-syn. However, more recent PD research demonstrates that (i) LBs are detected not only in dopaminergic neurons and glia but in various neurotransmitter systems, (ii) sympathetic nerve fibres degenerate first, and (iii) at least in "brain-first" cases dopaminergic deficiency is evident before pathology induced by iron and NM. These recent findings support that the ɑ-syn/LBs pathology as well as iron- and NM-induced pathology in "brain-first" cases are important facts of PD pathology and via their interaction potentiate the disease process in the SN. As such, multifactorial toxic processes posted on a personal genetic risk are assumed to be causal for the neurodegenerative processes underlying PD. Differences in ratios of multiple factors and their spatiotemporal development, and the fact that common triggers of PD are hard to identify, imply the existence of several phenotypical subtypes, which is supported by arguments from both the "bottom-up/dual-hit" and "brain-first" models. Therapeutic strategies are necessary to avoid single initiation triggers leading to PD.
Collapse
Affiliation(s)
- Peter Riederer
- Clinic and Policlinic for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Wuerzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany.
- Department of Psychiatry, University of Southern Denmark Odense, J.B. Winslows Vey 18, 5000, Odense, Denmark.
| | - Toshiharu Nagatsu
- Center for Research Promotion and Support, School of Medicine, Fujita Health University, Toyoake, Aichi, 470-1192, Japan
| | | | - Max Wulf
- Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801, Bochum, Germany
- Medical Proteome Analysis, Center for Protein Diagnostics (PRODI), Ruhr-University Bochum, 44801, Bochum, Germany
| | | | | |
Collapse
|
33
|
Cockx H, Nonnekes J, Bloem B, van Wezel R, Cameron I, Wang Y. Dealing with the heterogeneous presentations of freezing of gait: how reliable are the freezing index and heart rate for freezing detection? J Neuroeng Rehabil 2023; 20:53. [PMID: 37106388 PMCID: PMC10134593 DOI: 10.1186/s12984-023-01175-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Freezing of gait (FOG) is an unpredictable gait arrest that hampers the lives of 40% of people with Parkinson's disease. Because the symptom is heterogeneous in phenotypical presentation (it can present as trembling/shuffling, or akinesia) and manifests during various circumstances (it can be triggered by e.g. turning, passing doors, and dual-tasking), it is particularly difficult to detect with motion sensors. The freezing index (FI) is one of the most frequently used accelerometer-based methods for FOG detection. However, it might not adequately distinguish FOG from voluntary stops, certainly for the akinetic type of FOG. Interestingly, a previous study showed that heart rate signals could distinguish FOG from stopping and turning movements. This study aimed to investigate for which phenotypes and evoking circumstances the FI and heart rate might provide reliable signals for FOG detection. METHODS Sixteen people with Parkinson's disease and daily freezing completed a gait trajectory designed to provoke FOG including turns, narrow passages, starting, and stopping, with and without a cognitive or motor dual-task. We compared the FI and heart rate of 378 FOG events to baseline levels, and to stopping and normal gait events (i.e. turns and narrow passages without FOG) using mixed-effects models. We specifically evaluated the influence of different types of FOG (trembling vs akinesia) and triggering situations (turning vs narrow passages; no dual-task vs cognitive dual-task vs motor dual-task) on both outcome measures. RESULTS The FI increased significantly during trembling and akinetic FOG, but increased similarly during stopping and was therefore not significantly different from FOG. In contrast, heart rate change during FOG was for all types and during all triggering situations statistically different from stopping, but not from normal gait events. CONCLUSION When the power in the locomotion band (0.5-3 Hz) decreases, the FI increases and is unable to specify whether a stop is voluntary or involuntary (i.e. trembling or akinetic FOG). In contrast, the heart rate can reveal whether there is the intention to move, thus distinguishing FOG from stopping. We suggest that the combination of a motion sensor and a heart rate monitor may be promising for future FOG detection.
Collapse
Affiliation(s)
- Helena Cockx
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands.
| | - Jorik Nonnekes
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Rehabilitation, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - Bastiaan Bloem
- Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Richard van Wezel
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
| | - Ian Cameron
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
- OnePlanet Research Center, Nijmegen, The Netherlands
| | - Ying Wang
- Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Heyendaalseweg 135, P.O. Box 9102, 6525AJ, Nijmegen, The Netherlands
- Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands
- ZGT Academy, Ziekenhuisgroep Twente, Almelo, The Netherlands
| |
Collapse
|
34
|
Gan Y, Xie H, Qin G, Wu D, Shan M, Hu T, Yin Z, An Q, Ma R, Wang S, Zhang Q, Zhu G, Zhang J. Association between Cognitive Impairment and Freezing of Gait in Patients with Parkinson's Disease. J Clin Med 2023; 12:jcm12082799. [PMID: 37109137 PMCID: PMC10145607 DOI: 10.3390/jcm12082799] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/27/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
Background: Freezing of gait (FOG) is a common disabling symptom in Parkinson's disease (PD). Cognitive impairment may contribute to FOG. Nevertheless, their correlations remain controversial. We aimed to investigate cognitive differences between PD patients with and without FOG (nFOG), explore correlations between FOG severity and cognitive performance and assess cognitive heterogeneity within the FOG patients. Methods: Seventy-four PD patients (41 FOG, 33 nFOG) and 32 healthy controls (HCs) were included. Comprehensive neuropsychological assessments testing cognitive domains of global cognition, executive function/attention, working memory, and visuospatial function were performed. Cognitive performance was compared between groups using independent t-test and ANCOVA adjusting for age, sex, education, disease duration and motor symptoms. The k-means cluster analysis was used to explore cognitive heterogeneity within the FOG group. Correlation between FOG severity and cognition were analyzed using partial correlations. Results: FOG patients showed significantly poorer performance in global cognition (MoCA, p < 0.001), frontal lobe function (FAB, p = 0.015), attention and working memory (SDMT, p < 0.001) and executive function (SIE, p = 0.038) than nFOG patients. The FOG group was divided into two clusters using the cluster analysis, of which cluster 1 exhibited worse cognition, and with older age, lower improvement rate, higher FOGQ3 score, and higher proportion of levodopa-unresponsive FOG than cluster 2. Further, in the FOG group, cognition was significantly correlated with FOG severity in MoCA (r = -0.382, p = 0.021), Stroop-C (r = 0.362, p = 0.030) and SIE (r = 0.369, p = 0.027). Conclusions: This study demonstrated that the cognitive impairments of FOG were mainly reflected by global cognition, frontal lobe function, executive function, attention and working memory. There may be heterogeneity in the cognitive impairment of FOG patients. Additionally, executive function was significantly correlated with FOG severity.
Collapse
Affiliation(s)
- Yifei Gan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Hutao Xie
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guofan Qin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Delong Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Ming Shan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Jixi Road 218, Hefei 230022, China
| | - Tianqi Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Zixiao Yin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Qi An
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Ruoyu Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Shu Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Quan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Guanyu Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- Beijing Key Laboratory of Neurostimulation, Beijing 100070, China
| |
Collapse
|
35
|
Li B, Li Y, Sun Y, Yang X, Zhou X, Yao Z. A monitoring method of freezing of gait based on multimodal fusion. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
|
36
|
Monaghan AS, Gordon E, Graham L, Hughes E, Peterson DS, Morris R. Cognition and freezing of gait in Parkinson's disease: A systematic review and meta-analysis. Neurosci Biobehav Rev 2023; 147:105068. [PMID: 36738813 DOI: 10.1016/j.neubiorev.2023.105068] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 01/27/2023] [Accepted: 01/28/2023] [Indexed: 02/05/2023]
Abstract
Freezing of gait (FOG) is a common and disabling symptom in people with Parkinson's Disease (PwPD). Although cognition is thought to be worse in PwPD who freeze, a comprehensive analysis of this relationship will inform future research and clinical care. This systematic review and meta-analysis compared cognition between PwPD who do and do not exhibit FOG across a range of cognitive domains and assessed the impact of disease severity and medication status on this relationship. 145 papers (n = 9010 participants) were included in the analysis, with 144 and 138 articles meeting the criteria to assess moderating effects of disease severity and medication status, respectively. PwPD who freeze exhibited worse cognition than PwPD without FOG across global cognition, executive function/attention, language, memory, and visuospatial domains. Greater disease severity and "ON" levodopa medication status moderated the FOG status-cognition relationship in global cognitive performance but not in other cognitive domains. This meta-analysis confirmed that cognition is worse in PwPD with FOG and highlights the importance of disease severity and medication status in this relationship.
Collapse
Affiliation(s)
- A S Monaghan
- College of Health Solutions, Arizona State University, 5th St., Phoenix, AZ 85282, USA
| | - E Gordon
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK
| | - L Graham
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK
| | - E Hughes
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK
| | - D S Peterson
- College of Health Solutions, Arizona State University, 5th St., Phoenix, AZ 85282, USA; Phoenix VA Health Care Center, 650 E Indian School Rd, Phoenix, AZ, USA.
| | - R Morris
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK
| |
Collapse
|
37
|
McKay JL, Nye J, Goldstein FC, Sommerfeld B, Smith Y, Weinshenker D, Factor SA. Levodopa responsive freezing of gait is associated with reduced norepinephrine transporter binding in Parkinson's disease. Neurobiol Dis 2023; 179:106048. [PMID: 36813207 DOI: 10.1016/j.nbd.2023.106048] [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: 12/21/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Freezing of gait (FOG) is a major cause of falling in Parkinson's disease (PD) and can be responsive or unresponsive to levodopa. Pathophysiology is poorly understood. OBJECTIVE To examine the link between noradrenergic systems, the development of FOG in PD and its responsiveness to levodopa. METHODS We examined norepinephrine transporter (NET) binding via brain positron emission tomography (PET) to evaluate changes in NET density associated with FOG using the high affinity selective NET antagonist radioligand [11C]MeNER (2S,3S)(2-[α-(2-methoxyphenoxy)benzyl]morpholine) in 52 parkinsonian patients. We used a rigorous levodopa challenge paradigm to characterize PD patients as non-freezing (NO-FOG, N = 16), levodopa responsive freezing (OFF-FOG, N = 10), and levodopa-unresponsive freezing (ONOFF-FOG, N = 21), and also included a non-PD FOG group, primary progressive freezing of gait (PP-FOG, N = 5). RESULTS Linear mixed models identified significant reductions in whole brain NET binding in the OFF-FOG group compared to the NO-FOG group (-16.8%, P = 0.021) and regionally in the frontal lobe, left and right thalamus, temporal lobe, and locus coeruleus, with the strongest effect in right thalamus (P = 0.038). Additional regions examined in a post hoc secondary analysis including the left and right amygdalae confirmed the contrast between OFF-FOG and NO-FOG (P = 0.003). A linear regression analysis identified an association between reduced NET binding in the right thalamus and more severe New FOG Questionnaire (N-FOG-Q) score only in the OFF-FOG group (P = 0.022). CONCLUSION This is the first study to examine brain noradrenergic innervation using NET-PET in PD patients with and without FOG. Based on the normal regional distribution of noradrenergic innervation and pathological studies in the thalamus of PD patients, the implications of our findings suggest that noradrenergic limbic pathways may play a key role in OFF-FOG in PD. This finding could have implications for clinical subtyping of FOG as well as development of therapies.
Collapse
Affiliation(s)
- J Lucas McKay
- Jean & Paul Amos Parkinson's Disease & Movement Disorders Program, Department of Neurology, Emory University, Atlanta, GA 30329, USA; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA 30332, USA
| | - Jonathan Nye
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA
| | - Felicia C Goldstein
- Neuropsychology Program, Department of Neurology, Emory University, Atlanta, GA 30329, USA
| | - Barbara Sommerfeld
- Jean & Paul Amos Parkinson's Disease & Movement Disorders Program, Department of Neurology, Emory University, Atlanta, GA 30329, USA
| | - Yoland Smith
- Jean & Paul Amos Parkinson's Disease & Movement Disorders Program, Department of Neurology, Emory University, Atlanta, GA 30329, USA; Emory National Primate Center, Emory University, Atlanta, GA 30329, USA
| | - David Weinshenker
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Stewart A Factor
- Jean & Paul Amos Parkinson's Disease & Movement Disorders Program, Department of Neurology, Emory University, Atlanta, GA 30329, USA.
| |
Collapse
|
38
|
Gan C, Cao X, Wang L, Sun H, Ji M, Zhang H, Yuan Y, Zhang K. Cholinergic basal forebrain atrophy in Parkinson's disease with freezing of gait. Ann Clin Transl Neurol 2023; 10:814-824. [PMID: 37000969 DOI: 10.1002/acn3.51769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 02/21/2023] [Accepted: 03/19/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Mounting research support that cholinergic dysfunction plays a prominent role in freezing of gait (FOG), which commonly occurs in Parkinson's disease (PD). Basal forebrain (BF), especially the cholinergic nuclei 4 (Ch4), provides the primary source of the brain cholinergic input. However, whether the degeneration of BF and its innervated cortex contribute to the pathogenesis of FOG is unknown. OBJECTIVE To explore the role of structural alterations of BF and its innervated cortical brain regions in the pathogenesis of PD patients with freezing. METHODS Magnetic resonance imaging assessments and neurological assessments were performed on 20 PD patients with FOG (PD-FOG), 20 without FOG (PD-NFOG), and 21 healthy participants. Subregion volumes of the BF were compared among groups. Local gyrification index (LGI) was computed to reveal the cortical alternations. Relationships among subregional BF volumes, LGI, and the severity of FOG were evaluated by multiple linear regression. RESULTS Our study discovered that, compared to PD-NFOG, PD-FOG exhibited significant Ch4 atrophy (p = 4.6 × 10-5 ), accompanied by decreased LGI values in the left entorhinal cortex (p = 3.00 × 10-5 ) and parahippocampal gyrus (p = 2.90 × 10-5 ). Based on the regression analysis, Ch4 volume was negatively associated with FOG severity in PD-FOG group (β = -12.224, T = -2.556, p = 0.031). INTERPRETATION Our results imply that Ch4 degeneration and microstructural disorganization of its innervated cortical brain regions may play important roles in PD-FOG.
Collapse
|
39
|
Yang N, Sang S, Peng T, Hu W, Wang J, Bai R, Lu H. Impact of GBA variants on longitudinal freezing of gait progression in early Parkinson's disease. J Neurol 2023; 270:2756-2764. [PMID: 36790548 DOI: 10.1007/s00415-023-11612-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND Freezing of gait (FOG) is a common disabling gait disturbance among patients with Parkinson's disease (PD), but the influence of genetic variants on the incidence of FOG has been poorly studied to date. OBJECTIVES We aimed to evaluate the association of GBA variants with the risk of FOG development in a large early PD cohort. METHODS This study included 371 early PD patients from the Parkinson's Progression Markers Initiative (PPMI) who were divided into a GBA variant carrier group (GBA-PD group, n = 44) and an idiopathic PD group without GBA variants (iPD group, n = 327). They were followed up for up to 5 years to examine the progression of FOG. The cumulative incidence of FOG and risk factors for FOG were assessed using Kaplan‒Meier and Cox regression analyses. RESULTS At baseline, the GBA-PD group had lower CSF β-amyloid 1-42 (Aβ42) levels and more severe motor and nonmotor symptoms than the iPD group. During the 5-year follow-up, the GBA-PD group had a higher incidence of FOG than the iPD group, and the FOG progression rate was related to GBA variant severity. In the multivariable Cox model without CSF Aβ42, GBA variants were significant predictors of future FOG, and the association remained significant after adding CSF Aβ42 to the model. In the subgroup analyses, the effect of GBA variants was not observed in the "low-level" group. However, in the "high-level" group, GBA variants independently increased the risk of FOG, and this association was stronger than the association with CSF Aβ42. CONCLUSION GBA variants are novel genetic risk factors for future FOG development in early PD patients. This association seemed to be mediated by both Aβ-dependent pathways and Aβ-independent pathways.
Collapse
Affiliation(s)
- Nannan Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| | - Shushan Sang
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Tao Peng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Wentao Hu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Jingtao Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Rong Bai
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Hong Lu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
| |
Collapse
|
40
|
Dai S, Yuan H, Wang J, Yang Y, Wen S. Effects of aquatic exercise on the improvement of lower-extremity motor function and quality of life in patients with Parkinson's disease: A meta-analysis. Front Physiol 2023; 14:1066718. [PMID: 36818451 PMCID: PMC9935607 DOI: 10.3389/fphys.2023.1066718] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/24/2023] [Indexed: 02/05/2023] Open
Abstract
Objective: To systematically evaluate the effect of aquatic exercise interventions on the improvement of lower-extremity motor function and quality of life in patients with Parkinson's disease. Methods: Two researchers independently searched the literature using the PubMed, Web of Science, Embase, and Cochrane Library databases. The search period was from the establishment of the database to December 2021. The subject heading search included "hydrotherapy," "hydro therapies," "hydro therapeutics," "water therapy," "aquatic exercise therapy," "aquatic therapy," "water-based exercise," "Parkinson," "Parkinson disease," "Parkinson's disease," "Parkinson's syndrome," "primary Parkinsonism," "paralysis agitans," and "randomized controlled trial (RCT)." Result: A total of 698 articles were retrieved from the four databases by searching for subject headings, and 10 RCT articles were finally included. The balance ability of aquatic exercise in patients with Parkinson's disease (weighted mean differences [WMD] = 2.234, 95% CI: 1.112-3.357, Z = 3.9, p < 0.01), walking ability (WMD = -0.911, 95% CI: -1.581 to -0.241, Z = 2.67, p < 0.01), and quality of life (WMD = -5.057, 95% CI: -9.610 to -0.504, Z = 2.18, p = 0.029) were improved, but there was no significant difference in motor function (WMD = -0.328, 95% CI: -1.781 to 1.125, Z = 0.44, p = 0.658). Conclusion: Compared with conventional rehabilitation therapy, aquatic exercise can effectively improve balance, walking ability, and quality of life in patients with Parkinson's disease. However, it had no obvious effect on improving motor function. This study was limited by the number and quality of the included studies, and more high-quality studies are needed to verify this. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42022365103.
Collapse
Affiliation(s)
- Shengyu Dai
- Capital University of Physical Education and Sports, Beijing, China,*Correspondence: Shengyu Dai, ; Jiahui Wang, ; Shilin Wen,
| | - Haoteng Yuan
- Capital University of Physical Education and Sports, Beijing, China
| | - Jiahui Wang
- Shenzhen University, Shenzhen, Guangdong, China,*Correspondence: Shengyu Dai, ; Jiahui Wang, ; Shilin Wen,
| | - Yuhang Yang
- Capital University of Physical Education and Sports, Beijing, China
| | - Shilin Wen
- Capital University of Physical Education and Sports, Beijing, China,*Correspondence: Shengyu Dai, ; Jiahui Wang, ; Shilin Wen,
| |
Collapse
|
41
|
Razmkon A, Abdollahifard S, Taherifard E, Roshanshad A, Shahrivar K. Effect of deep brain stimulation on freezing of gait in patients with Parkinson's disease: a systematic review. Br J Neurosurg 2023; 37:3-11. [PMID: 35603983 DOI: 10.1080/02688697.2022.2077308] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
BACKGROUND AND OBJECTIVES Freezing of gait (FOG) is a disabling gait disorder in patients with Parkinson's disease (PD), characterized by recurrent episodes of halting steps. Dopaminergic drugs are common treatments for PD and FOG; however, these drugs may worsen FOG. Deep brain stimulation (DBS) is another option used to treat selected patients. The device needs to be programmed at a specific frequency, amplitude, and pulse width to achieve optimum effects for each patient. This systematic review aimed to evaluate the efficacy of DBS for FOG and its correlation with programmed parameters and the location of the electrodes in the brain. MATERIALS AND METHODS Data for this systematic review were gathered from five online databases: Medline (via PubMed), Scopus, Embase, Web of Science, and Cochrane Library (including both Cochrane Reviews and Cochrane Trials) with a broad search strategy. We included those articles that reported clinical trials and a specific measurement for FOG. RESULTS This review included 13 studies of DBS that targeted the subthalamic nucleus (STN), substantia nigra (SNr), or pedunculopontine nucleus (PPN). Our analysis showed that low-frequency stimulation (LFS) was superior to high-frequency stimulation (HFS) for improving FOG. In the long term, the efficacy of both LFS and HFS decreased. The effect of amplitude was variable, and this parameter needed to be adjusted for each patient. Bilateral stimulation was better than unilateral stimulation. CONCLUSION DBS is a promising choice for the treatment of severe FOG in patients with PD. Bilateral, low-frequency stimulation combined with medical therapy is associated with better responses, especially in the first 2 years of treatment. However, individualizing the DBS parameters should be considered to optimize treatment response.
Collapse
Affiliation(s)
- Ali Razmkon
- Research Center for Neuromodulation and Pain, Shiraz, Iran.,Unite de Recherche Clinique du Centre Hospitalier Henri Laborit, Poitiers, France
| | - Saeed Abdollahifard
- Research Center for Neuromodulation and Pain, Shiraz, Iran.,Unite de Recherche Clinique du Centre Hospitalier Henri Laborit, Poitiers, France
| | - Erfan Taherifard
- Research Center for Neuromodulation and Pain, Shiraz, Iran.,Department of Master Public Health (MPH), School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amirhossein Roshanshad
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.,Department of Master Public Health (MPH), School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kamyab Shahrivar
- Research Center for Neuromodulation and Pain, Shiraz, Iran.,Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| |
Collapse
|
42
|
Zhu PA, Lu QQ, Li ZL, Hu RL, Xu S, Brodersen L, Liu YX, Liu H, Bao X. Efficacy of Tai Chi on lower limb function of Parkinson's disease patients: A systematic review and meta-analysis. Front Aging Neurosci 2023; 15:1096417. [PMID: 36819715 PMCID: PMC9929552 DOI: 10.3389/fnagi.2023.1096417] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
Background At present, the effect of Tai Chi (TC) on lower limb function in patients with Parkinson's disease (PD) is controversial. Therefore, we conducted a meta-analysis on the influence of TC on lower limb function in PD patients. Methods According to the PRISMA guidelines, seven databases were searched. Randomized controlled trials (RCTS) were selected and screened according to inclusion and exclusion criteria. We assessed the quality of the studies using the Cochrane Risk of Bias tool and then extracted the characteristics of the included studies. The random effect model was adopted, and heterogeneity was measured by I 2 statistic. Results A total of 441 articles were screened, and 10 high-quality RCTs were with a total of 532 patients with PD met Our inclusion criteria. Meta-analysis showed that compared To control groups TC improved several outcomes. TC significantly improved motor function (SMD = -0.70; 95% CI = -0.95, -0.45; p < 0.001; I 2 = 35%), although The results were not statistically significant for The subgroup analysis of TC duration (SMD = -0.70; 95% CI = -0.95, -0.45; p = 0.88; I 2 = 0%;). TC significantly improved balance function (SMD = 0.89; 95% CI = 0.51, 1.27; p < 0.001; I 2 = 54%), functional walking capacity (SMD = -1.24; 95% CI = -2.40, -0.09; p = 0.04; I 2 = 95%), and gait velocity (SMD = 0.48; 95% CI = -0.02, 0.94; p = 0.04; I 2 = 78%), But Did Not improve endurance (SMD = 0.31; 95% CI = -0.12, 0.75; p = 0.16; I 2 = 0%), step length (SMD = 0.01; 95% CI = -0.34, 0.37; p = 0.94; I 2 = 29%), and cadence (SMD = 0.06; 95% CI = -0.25, 0.36; p = 0.70; I 2 = 0%). Conclusion TC has beneficial effects on motor function, balance function, functional walking ability, and gait velocity, but does not improve walking endurance, stride length, and cadence.
Collapse
Affiliation(s)
- Ping-an Zhu
- Department of Rehabilitation Medicine, Yuebei People’s Hospital, Shaoguan, China
| | - Qi-qi Lu
- Department of Rehabilitation Medicine, Yuebei People’s Hospital, Shaoguan, China
| | - Zhi-liang Li
- Department of Rehabilitation Medicine, Yuebei People’s Hospital, Shaoguan, China
| | - Rong-liang Hu
- Department of Rehabilitation Medicine, Jiangmen Central Hospital, Guangdong, Jiangmen, China
| | - Shu Xu
- Department of Rehabilitation Medicine, Shaoguan Railway Hospital, Shaoguan, China
| | - Lisa Brodersen
- Physical Therapy Program, Allen College, Waterloo, IA, United States
| | - Yuan-xin Liu
- College of Sports and Health Science, Xi’an Physical Education University, Xi’an, China,*Correspondence: Yuan-xin Liu,
| | - Howe Liu
- Physical Therapy Program, Allen College, Waterloo, IA, United States,Howe Liu,
| | - Xiao Bao
- Department of Rehabilitation Medicine, Yuebei People’s Hospital, Shaoguan, China,Xiao Bao,
| |
Collapse
|
43
|
Jabbari B, Comtesse SM. Botulinum Toxin Treatment of Motor Disorders in Parkinson Disease-A Systematic Review. Toxins (Basel) 2023; 15:toxins15020081. [PMID: 36828396 PMCID: PMC9960770 DOI: 10.3390/toxins15020081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/19/2023] Open
Abstract
This review provides an up-to-date literature account on the efficacy of Botulinum toxin treatment for common motor disorders of Parkinson Disease. The reviewed disorders include the common motor disorders in PD such as tremor, focal foot dystonia, rigidity and freezing of gait (FOG). In the area of Parkinson tremor, two newly described evaluation/injection techniques (Yale method in USA and Western University method in Canada) offer efficacy with low incidence of hand and finger weakness as side effects. Blinded studies conducted on foot dystonia of PD indicate that botulinum toxin injections into toe flexors are efficacious in alleviating this form of dystonia. Small, blinded studies suggest improvement of Parkinson rigidity after botulinum toxin injection; proof of this claim, however, requires information from larger, blinded clinical trials. In FOG, the improvement reported in open label studies could not be substantiated in blinded investigations. However, there is room for further controlled studies that include the proximal lower limb muscles in the injection plan and/or use higher doses of the injected toxin for this indication.
Collapse
Affiliation(s)
- Bahman Jabbari
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06519, USA
- Correspondence:
| | | |
Collapse
|
44
|
Milane T, Hansen C, Chardon M, Bianchini E, Vuillerme N. Comparing Backward Walking Performance in Parkinson's Disease with and without Freezing of Gait-A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:953. [PMID: 36673709 PMCID: PMC9859157 DOI: 10.3390/ijerph20020953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Parkinson's disease (PD) is a neurodegenerative disease characterized by motor symptoms and gait impairments. Among them, freezing of gait (FOG) is one of the most disabling manifestations. Backward walking (BW) is an activity of daily life that individuals with PD might find difficult and could cause falls. Recent studies have reported that gait impairments in PD were more pronounced in BW, particularly in people presenting FOG. However, to the best of our knowledge, no systematic review has synthetized the literature which compared BW performance in PD patients with and without FOG. OBJECTIVE The aim of this study was to evaluate the differences in BW performance between PD patients with FOG and PD patients without FOG. METHODS Two databases, PubMed and Web of Science, were systematically searched to identify studies comparing BW performance in PD patients with and without FOG. The National Institutes of Health (NIH) tool was used to assess the quality of the studies included. RESULTS Seven studies with 431 PD patients (179 PD with FOG and 252 PD without FOG) met the inclusion criteria and were included in this review. Among them, 5 studies reported walking speed, 3 studies step length, stride length and lower limb range of motion, 2 studies functional ambulation profile, toe clearance height, swing, and stance percent and 1 study reported the decomposition index and stepping coordination. Compared to PD patients without FOG, PD patients with FOG showed slower walking speed and reduced step length in 3 studies, shorter stride length, lower functional ambulation profile and decreased ankle range of motion in 2 studies, and smaller swing percent, higher stance percent, worse stepping coordination, greater decomposition between movements, and lower toe clearance height in one study. CONCLUSION Despite the small number of included studies, the findings of this review suggested that PD patients with FOG have worse gait performance during the BW task than PD without FOG.
Collapse
Affiliation(s)
- Tracy Milane
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France
- Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105 Kiel, Germany
| | - Clint Hansen
- Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105 Kiel, Germany
| | | | - Edoardo Bianchini
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France
- Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105 Kiel, Germany
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, 00189 Rome, Italy
| | - Nicolas Vuillerme
- AGEIS, Université Grenoble Alpes, 38000 Grenoble, France
- LabCom Telecom4Health, Orange Labs & Université Grenoble Alpes, CNRS, Inria, Grenoble INP-UGA, 38000 Grenoble, France
- Institut Universitaire de France, 75005 Paris, France
| |
Collapse
|
45
|
Hulzinga F, Seuthe J, D'Cruz N, Ginis P, Nieuwboer A, Schlenstedt C. Split-Belt Treadmill Training to Improve Gait Adaptation in Parkinson's Disease. Mov Disord 2023; 38:92-103. [PMID: 36239376 DOI: 10.1002/mds.29238] [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: 07/07/2022] [Revised: 09/04/2022] [Accepted: 09/14/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Gait deficits in people with Parkinson's disease (PD) are triggered by circumstances requiring gait adaptation. The effects of gait adaptation training on a split-belt treadmill (SBT) are unknown in PD. OBJECTIVE We investigated the effects of repeated SBT versus tied-belt treadmill (TBT) training on retention and automaticity of gait adaptation and its transfer to over-ground walking and turning. METHODS We recruited 52 individuals with PD, of whom 22 were freezers, in a multi-center randomized single-blind controlled study. Training consisted of 4 weeks of supervised treadmill training delivered three times per week. Tests were conducted pre- and post-training and at 4-weeks follow-up. Turning (primary outcome) and gait were assessed over-ground and during a gait adaptation protocol on the treadmill. All tasks were performed with and without a cognitive task. RESULTS We found that SBT-training improved gait adaptation with moderate to large effects sizes (P < 0.02) compared to TBT, effects that were sustained at follow-up and during dual tasking. However, better gait adaptation did not transfer to over-ground turning speed. In both SBT- and TBT-arms, over-ground walking and Movement Disorder Society-Unified Parkinson's Disease Rating Scale III (MDS-UPDRS-III scores were improved, the latter of which reached clinically meaningful effects in the SBT-group only. No impact was found on freezing of gait. CONCLUSION People with PD are able to learn and retain the ability to overcome asymmetric gait-speed perturbations on a treadmill remarkably well, but seem unable to generalize these skills to asymmetric gait off-treadmill. Future study is warranted into gait adaptation training to boost the transfer of complex walking skills. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Femke Hulzinga
- Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Jana Seuthe
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.,Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Nicholas D'Cruz
- Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Pieter Ginis
- Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Alice Nieuwboer
- Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Christian Schlenstedt
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany.,Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
| |
Collapse
|
46
|
Zou X, Dong Z, Chen X, Yu Q, Yin H, Yi L, Zuo H, Xu J, Du X, Han Y, Zou D, Peng J, Cheng O. White matter hyperintensities burden in the frontal regions is positively correlated to the freezing of gait in Parkinson's disease. Front Aging Neurosci 2023; 15:1156648. [PMID: 37181626 PMCID: PMC10172504 DOI: 10.3389/fnagi.2023.1156648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
Objective Previous studies have reported that white matter hyperintensities (WMHs) are associated with freezing of gait (FOG), but it is not clear whether their distribution areas have correlations with FOG in Parkinson's disease (PD) and the potential influencing factors about WMHs. Methods Two hundred and forty-six patients with PD who underwent brain MRI were included. Participants were divided into PD with FOG (n = 111) and PD without FOG (n = 135) groups. Scheltens score was used to assess the WMHs burden in the areas of deep white matter hyperintensities (DWMHs), periventricular hyperintensities (PVHs), basal ganglia hyperintensities (BGHs), and infratentorial foci of hyperintensities (ITF). Whole brain WMHs volume was evaluated by automatic segmentation. Binary logistic regression was used to evaluate relationships between WMHs and FOG. The common cerebrovascular risk factors that may affect WMHs were evaluated by mediation analysis. Results There were no statistical differences between PD with and without FOG groups in whole brain WMHs volume, total Scheltens score, BGHs, and ITF. Binary logistic regression showed that the total scores of DWMHs (OR = 1.094; 95% CI, 1.001, 1.195; p = 0.047), sum scores of PVHs and DWMHs (OR = 1.080; 95% CI, 1.003, 1.164; p = 0.042), especially the DWMHs in frontal (OR = 1.263; 95% CI, 1.060, 1.505 p = 0.009), and PVHs in frontal caps (OR = 2.699; 95% CI, 1.337, 5.450; p = 0.006) were associated with FOG. Age, hypertension, and serum alkaline phosphatase (ALP) are positively correlated with scores of DWMHs in frontal and PVHs in frontal caps. Conclusion These results indicate that WMHs distribution areas especially in the frontal of DWMHs and PVHs play a role in PD patients with FOG.
Collapse
Affiliation(s)
- Xiaoya Zou
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhaoying Dong
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinwei Chen
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qian Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huimei Yin
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Yi
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongzhou Zuo
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaman Xu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinyi Du
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Han
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dezhi Zou
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Peng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Juan Peng,
| | - Oumei Cheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Oumei Cheng,
| |
Collapse
|
47
|
Virmani T, Landes RD, Pillai L, Glover A, Larson-Prior L, Prior F, Factor SA. Gait Declines Differentially in, and Improves Prediction of, People with Parkinson's Disease Converting to a Freezing of Gait Phenotype. JOURNAL OF PARKINSON'S DISEASE 2023; 13:961-973. [PMID: 37522218 PMCID: PMC10578275 DOI: 10.3233/jpd-230020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/03/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Freezing of gait (FOG) is a debilitating, variably expressed motor symptom in people with Parkinson's disease (PwPD) with limited treatments. OBJECTIVE To determine if the rate of progression in spatiotemporal gait parameters in people converting from a noFOG to a FOG phenotype (FOGConv) was faster than non-convertors, and determine if gait parameters can help predict this conversion. METHODS PwPD were objectively monitored longitudinally, approximately every 6 months. Non-motor assessments were performed at the initial visit. Steady-state gait in the levodopa ON-state was collected using a gait mat (Protokinetics) at each visit. The rate of progression in 8 spatiotemporal gait parameters was calculated. FOG convertors (FOGConv) were classified if they did not have FOG at initial visit and developed FOG at a subsequent visit. RESULTS Thirty freezers (FOG) and 30 non-freezers were monitored an average of 3.5 years, with 10 non-freezers developing FOG (FOGConv). FOGConv and FOG had faster decline in mean stride-length, swing-phase-percent, and increase in mean total-double-support percent, coefficient of variability (CV) foot-strike-length and CV swing-phase-percent than the remaining non-freezers (noFOG). On univariate modeling, progression rates of mean stride-length, stride-velocity, swing-phase-percent, total-double-support-percent and of CV swing-phase-percent had high discriminative power (AUC > 0.83) for classification of the FOGConv and noFOG groups. CONCLUSION FOGConv had a faster temporal decline in objectively quantified gait than noFOG, and progression rates of spatiotemporal gait parameters were more predictive of FOG phenotype conversion than initial (static) parameters Objectively monitoring gait in disease prediction models may help define FOG prone groups for testing putative treatments.
Collapse
Affiliation(s)
- Tuhin Virmani
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Reid D. Landes
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Lakshmi Pillai
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Aliyah Glover
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Linda Larson-Prior
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Fred Prior
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| |
Collapse
|
48
|
Togo H, Nakamura T, Wakasugi N, Takahashi Y, Hanakawa T. Interactions across emotional, cognitive and subcortical motor networks underlying freezing of gait. Neuroimage Clin 2023; 37:103342. [PMID: 36739790 PMCID: PMC9932566 DOI: 10.1016/j.nicl.2023.103342] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 01/23/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023]
Abstract
Freezing of gait (FOG) is a gait disorder affecting patients with Parkinson's disease (PD) and related disorders. The pathophysiology of FOG is unclear because of its phenomenological complexity involving motor, cognitive, and emotional aspects of behavior. Here we used resting-state functional MRI to retrieve functional connectivity (FC) correlated with the New FOG questionnaire (NFOGQ) reflecting severity of FOG in 67 patients with PD. NFOGQ scores were correlated with FCs in the extended basal ganglia network (BGN) involving the striatum and amygdala, and in the extra-cerebellum network (CBLN) involving the frontoparietal network (FPN). These FCs represented interactions across the emotional (amygdala), subcortical motor (BGN and CBLN), and cognitive networks (FPN). Using these FCs as features, we constructed statistical models that explained 40% of the inter-individual variances of FOG severity and that discriminated between PD patients with and without FOG. The amygdala, which connects to the subcortical motor (BGN and CBLN) and cognitive (FPN) networks, may have a pivotal role in interactions across the emotional, cognitive, and subcortical motor networks. Future refinement of the machine learning-based classifier using FCs may clarify the complex pathophysiology of FOG further and help diagnose and evaluate FOG in clinical settings.
Collapse
Affiliation(s)
- Hiroki Togo
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Yoshida-Konoe, Sakyo-ku, Kyoto 606-8501, Japan; Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Tatsuhiro Nakamura
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Yoshida-Konoe, Sakyo-ku, Kyoto 606-8501, Japan; Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Noritaka Wakasugi
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Yuji Takahashi
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry (NCNP), Tokyo, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Takashi Hanakawa
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Yoshida-Konoe, Sakyo-ku, Kyoto 606-8501, Japan; Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan.
| |
Collapse
|
49
|
Li Y, Huang X, Ruan X, Duan D, Zhang Y, Yu S, Chen A, Wang Z, Zou Y, Xia M, Wei X. Baseline cerebral structural morphology predict freezing of gait in early drug-naïve Parkinson's disease. NPJ Parkinsons Dis 2022; 8:176. [PMID: 36581626 PMCID: PMC9800563 DOI: 10.1038/s41531-022-00442-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 12/20/2022] [Indexed: 12/30/2022] Open
Abstract
Freezing of gait (FOG) greatly impacts the daily life of patients with Parkinson's disease (PD). However, predictors of FOG in early PD are limited. Moreover, recent neuroimaging evidence of cerebral morphological alterations in PD is heterogeneous. We aimed to develop a model that could predict the occurrence of FOG using machine learning, collaborating with clinical, laboratory, and cerebral structural imaging information of early drug-naïve PD and investigate alterations in cerebral morphology in early PD. Data from 73 healthy controls (HCs) and 158 early drug-naïve PD patients at baseline were obtained from the Parkinson's Progression Markers Initiative cohort. The CIVET pipeline was used to generate structural morphological features with T1-weighted imaging (T1WI). Five machine learning algorithms were calculated to assess the predictive performance of future FOG in early PD during a 5-year follow-up period. We found that models trained with structural morphological features showed fair to good performance (accuracy range, 0.67-0.73). Performance improved when clinical and laboratory data was added (accuracy range, 0.71-0.78). For machine learning algorithms, elastic net-support vector machine models (accuracy range, 0.69-0.78) performed the best. The main features used to predict FOG based on elastic net-support vector machine models were the structural morphological features that were mainly distributed in the left cerebrum. Moreover, the bilateral olfactory cortex (OLF) showed a significantly higher surface area in PD patients than in HCs. Overall, we found that T1WI morphometric markers helped predict future FOG occurrence in patients with early drug-naïve PD at the individual level. The OLF exhibits predominantly cortical expansion in early PD.
Collapse
Affiliation(s)
- Yuting Li
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China ,grid.284723.80000 0000 8877 7471Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Guangdong, China
| | - Xiaofei Huang
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Xiuhang Ruan
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Dingna Duan
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Yihe Zhang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Shaode Yu
- grid.443274.20000 0001 2237 1871School of Information and Communication Engineering, Communication University of China, Beijing, China
| | - Amei Chen
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Zhaoxiu Wang
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Yujian Zou
- grid.284723.80000 0000 8877 7471Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Guangdong, China
| | - Mingrui Xia
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Xinhua Wei
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| |
Collapse
|
50
|
Goh L, Paul SS, Canning CG, Ehgoetz Martens KA, Song J, Campoy SL, Allen NE. The Ziegler Test Is Reliable and Valid for Measuring Freezing of Gait in People With Parkinson Disease. Phys Ther 2022; 102:pzac122. [PMID: 36130220 PMCID: PMC10071484 DOI: 10.1093/ptj/pzac122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/06/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVE The purpose of this study was to determine interrater and test-retest reliability of the Ziegler test to measure freezing of gait (FOG) severity in people with Parkinson disease. Secondary aims were to evaluate test validity and explore Ziegler test duration as a proxy FOG severity measure. METHODS Physical therapists watched 36 videos of people with Parkinson disease and FOG perform the Ziegler test and rated FOG severity using the rating scale in real time. Two researchers rated 12 additional videos and repeated the ratings at least 1 week later. Interrater and test-retest reliability were calculated using intraclass correlation coefficients (ICCs). Bland-Altman plots were used to visualize agreement between the researchers for test-retest reliability. Correlations between the Ziegler scores, Ziegler test duration, and percentage of time frozen (based on video annotations) were determined using Pearson r. RESULTS Twenty-four physical therapists participated. Overall, the Ziegler test showed good interrater (ICC2,1 = 0.80; 95% CI = 0.65-0.92) and excellent test-retest (ICC3,1 = 0.91; 95% CI = 0.82-0.96) reliability when used to measure FOG. It was also a valid measure, with a high correlation (r = 0.72) between the scores and percentage of time frozen. Ziegler test duration was moderately correlated (r = 0.67) with percentage of time frozen and may be considered a proxy FOG severity measure. CONCLUSION The Ziegler test is a reliable and valid tool to measure FOG when used by physical therapists in real time. Ziegler test duration may be used as a proxy for measuring FOG severity. IMPACT Despite FOG being a significant contributor to falls and poor mobility in people with Parkinson disease, current tools to assess FOG are either not suitably responsive or too resource intensive for use in clinical settings. The Ziegler test is a reliable and valid measure of FOG, suitable for clinical use, and may be used by physical therapists regardless of their level of clinical experience.
Collapse
Affiliation(s)
- Lina Goh
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Serene S Paul
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Colleen G Canning
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Jooeun Song
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Stephanie L Campoy
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Natalie E Allen
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|