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Saad M, Hefner S, Donovan S, Bernhard D, Tripathi R, Factor SA, Powell JM, Kwon H, Sameni R, Esper CD, McKay JL. Development of a Tremor Detection Algorithm for Use in an Academic Movement Disorders Center. SENSORS (BASEL, SWITZERLAND) 2024; 24:4960. [PMID: 39124007 PMCID: PMC11314995 DOI: 10.3390/s24154960] [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: 05/25/2024] [Revised: 07/24/2024] [Accepted: 07/28/2024] [Indexed: 08/12/2024]
Abstract
Tremor, defined as an "involuntary, rhythmic, oscillatory movement of a body part", is a key feature of many neurological conditions including Parkinson's disease and essential tremor. Clinical assessment continues to be performed by visual observation with quantification on clinical scales. Methodologies for objectively quantifying tremor are promising but remain non-standardized across centers. Our center performs full-body behavioral testing with 3D motion capture for clinical and research purposes in patients with Parkinson's disease, essential tremor, and other conditions. The objective of this study was to assess the ability of several candidate processing pipelines to identify the presence or absence of tremor in kinematic data from patients with confirmed movement disorders and compare them to expert ratings from movement disorders specialists. We curated a database of 2272 separate kinematic data recordings from our center, each of which was contemporaneously annotated as tremor present or absent by a movement physician. We compared the ability of six separate processing pipelines to recreate clinician ratings based on F1 score, in addition to accuracy, precision, and recall. The performance across algorithms was generally comparable. The average F1 score was 0.84±0.02 (mean ± SD; range 0.81-0.87). The second highest performing algorithm (cross-validated F1=0.87) was a hybrid that used engineered features adapted from an algorithm in longstanding clinical use with a modern Support Vector Machine classifier. Taken together, our results suggest the potential to update legacy clinical decision support systems to incorporate modern machine learning classifiers to create better-performing tools.
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Affiliation(s)
- Mark Saad
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
| | - Sofia Hefner
- Department of Neuroscience, Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Suzann Donovan
- Department of Neuroscience and Behavioral Biology, College of Arts and Sciences, Emory University, Atlanta, GA 30322, USA
| | - Doug Bernhard
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
| | - Richa Tripathi
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
| | - Jeanne M. Powell
- Department of Psychology, Laney Graduate School, Emory University, Atlanta, GA 30322, USA
| | - Hyeokhyen Kwon
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (R.S.)
| | - Reza Sameni
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (R.S.)
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Christine D. Esper
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (M.S.)
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (R.S.)
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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.
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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
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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.
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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
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Janssen Daalen JM, Meinders MJ, Mathur S, van Hees HWH, Ainslie PN, Thijssen DHJ, Bloem BR. Randomized controlled trial of intermittent hypoxia in Parkinson's disease: study rationale and protocol. BMC Neurol 2024; 24:212. [PMID: 38909201 PMCID: PMC11193237 DOI: 10.1186/s12883-024-03702-3] [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: 04/02/2024] [Accepted: 05/31/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a neurodegenerative disease for which no disease-modifying therapies exist. Preclinical and clinical evidence suggest that repeated exposure to intermittent hypoxia might have short- and long-term benefits in PD. In a previous exploratory phase I trial, we demonstrated that in-clinic intermittent hypoxia exposure is safe and feasible with short-term symptomatic effects on PD symptoms. The current study aims to explore the safety, tolerability, feasibility, and net symptomatic effects of a four-week intermittent hypoxia protocol, administered at home, in individuals with PD. METHODS/DESIGN This is a two-armed double-blinded randomized controlled trial involving 40 individuals with mild to moderate PD. Participants will receive 45 min of normobaric intermittent hypoxia (fraction of inspired oxygen 0.16 for 5 min interspersed with 5 min normoxia), 3 times a week for 4 weeks. Co-primary endpoints include nature and total number of adverse events, and a feasibility-tolerability questionnaire. Secondary endpoints include Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part II and III scores, gait tests and biomarkers indicative of hypoxic dose and neuroprotective pathway induction. DISCUSSION This trial builds on the previous phase I trial and aims to investigate the safety, tolerability, feasibility, and net symptomatic effects of intermittent hypoxia in individuals with PD. Additionally, the study aims to explore induction of relevant neuroprotective pathways as measured in plasma. The results of this trial could provide further insight into the potential of hypoxia-based therapy as a novel treatment approach for PD. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05948761 (registered June 20th, 2023).
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Affiliation(s)
- Jules M Janssen Daalen
- Radboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
- Radboud University Medical Center, Department of Medical BioSciences, Nijmegen, The Netherlands.
| | - Marjan J Meinders
- Radboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands
| | | | - Hieronymus W H van Hees
- Radboud University Medical Center, Department of Pulmonary Diseases, Nijmegen, The Netherlands
| | - Philip N Ainslie
- University of British Columbia, Center for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, Kelowna, Canada
| | - Dick H J Thijssen
- Radboud University Medical Center, Department of Medical BioSciences, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Radboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
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Zoetewei D, Herman T, Ginis P, Palmerini L, Brozgol M, Thumm PC, Ferrari A, Ceulemans E, Decaluwé E, Hausdorff JM, Nieuwboer A. On-Demand Cueing for Freezing of Gait in Parkinson's Disease: A Randomized Controlled Trial. Mov Disord 2024; 39:876-886. [PMID: 38486430 DOI: 10.1002/mds.29762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/24/2024] [Accepted: 02/09/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Cueing can alleviate freezing of gait (FOG) in people with Parkinson's disease (PD), but using the same cues continuously in daily life may compromise effectiveness. Therefore, we developed the DeFOG-system to deliver personalized auditory cues on detection of a FOG episode. OBJECTIVES We aimed to evaluate the effects of DeFOG during a FOG-provoking protocol: (1) after 4 weeks of DeFOG-use in daily life against an active control group; (2) after immediate DeFOG-use (within-group) in different medication states. METHOD In this randomized controlled trial, 63 people with PD and daily FOG were allocated to the DeFOG or active control group. Both groups received feedback on their daily living step counts using the device, but the DeFOG group also received on-demand cueing. Video-rated FOG severity was compared pre- and post-intervention through a FOG-provoking protocol administered at home off and on-medication, but without using DeFOG. Within-group effects were tested by comparing FOG during the protocol with and without DeFOG. RESULTS DeFOG-use during the 4 weeks was similar between groups, but we found no between-group differences in FOG-severity. However, the within-group analysis showed that FOG was alleviated by DeFOG (effect size d = 0.57), regardless of medication state. Combining DeFOG and medication yielded an effect size of d = 0.67. CONCLUSIONS DeFOG reduced FOG considerably in a population of severe freezers both off and on medication. Nonetheless, 4 weeks of DeFOG-use in daily life did not ameliorate FOG during the protocol unless DeFOG was worn. These findings suggest that on-demand cueing is only effective when used, similar to other walking aids. © 2024 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Demi Zoetewei
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Talia Herman
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Pieter Ginis
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Luca Palmerini
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy
| | - Marina Brozgol
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Pablo Cornejo Thumm
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Alberto Ferrari
- Department of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, Italy
- Science and Technology Park for Medicine, TPM, Democenter Foundation Mirandola, Modena, Italy
| | - Eva Ceulemans
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Eva Decaluwé
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Jeffrey M Hausdorff
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Israel
- Department of Physical Therapy, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Rush Alzheimer's Disease Center and Department of Orthopedic Surgery, Rush University, Chicago, Illinois, USA
| | - Alice Nieuwboer
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
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Aitken CS, Samotus O, Naidu AS, Jog M, Patel RV. Force Control Issues in Upper and Lower Limbs in Parkinson's Disease and Freezing of Gait. IEEE Trans Neural Syst Rehabil Eng 2024; 32:577-586. [PMID: 38236671 DOI: 10.1109/tnsre.2024.3355429] [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: 01/24/2024]
Abstract
Parkinson's Disease (PD) has been found to cause force control deficits in upper and lower limbs. About 50% of patients with advanced PD develop a debilitating symptom called freezing of gait (FOG), which has been linked to force control problems in the lower limbs, and some may only have a limited response to the gold standard pharmaceutical therapy, levodopa, resulting in partially levodopa-responsive FOG (PLR-FOG). There has been limited research on investigating upper-limb force control in people with PD with PLR-FOG, and without FOG. In this pilot study, force control was explored using an upper-and-lower-limb haptics-enabled robot in a reaching task while people with PD with and without PLR-FOG were on their levodopa medication. A healthy control group was used for reference, and each cohort completed the task at three different levels of assistance provided by the robot. Similar significant proportional force control deficits were found in the upper and lower limbs in patients with PLR-FOG versus those without FOG. Some aspects of force control were found to be retained, including an ability to increase or decrease force in response to changes in resistance while completing a reaching task. Overall, these results suggest there are force control deficits in both the upper and lower limbs in people with PLR-FOG.
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Gong NJ, Clifford GD, Esper CD, Factor SA, McKay JL, Kwon H. Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson's Disease from Full-Body Kinematics. SENSORS (BASEL, SWITZERLAND) 2023; 23:8330. [PMID: 37837160 PMCID: PMC10575216 DOI: 10.3390/s23198330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/03/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023]
Abstract
Characterizing motor subtypes of Parkinson's disease (PD) is an important aspect of clinical care that is useful for prognosis and medical management. Although all PD cases involve the loss of dopaminergic neurons in the brain, individual cases may present with different combinations of motor signs, which may indicate differences in underlying pathology and potential response to treatment. However, the conventional method for distinguishing PD motor subtypes involves resource-intensive physical examination by a movement disorders specialist. Moreover, the standardized rating scales for PD rely on subjective observation, which requires specialized training and unavoidable inter-rater variability. In this work, we propose a system that uses machine learning models to automatically and objectively identify some PD motor subtypes, specifically Tremor-Dominant (TD) and Postural Instability and Gait Difficulty (PIGD), from 3D kinematic data recorded during walking tasks for patients with PD (MDS-UPDRS-III Score, 34.7 ± 10.5, average disease duration 7.5 ± 4.5 years). This study demonstrates a machine learning model utilizing kinematic data that identifies PD motor subtypes with a 79.6% F1 score (N = 55 patients with parkinsonism). This significantly outperformed a comparison model using classification based on gait features (19.8% F1 score). Variants of our model trained to individual patients achieved a 95.4% F1 score. This analysis revealed that both temporal, spectral, and statistical features from lower body movements are helpful in distinguishing motor subtypes. Automatically assessing PD motor subtypes simply from walking may reduce the time and resources required from specialists, thereby improving patient care for PD treatments. Furthermore, this system can provide objective assessments to track the changes in PD motor subtypes over time to implement and modify appropriate treatment plans for individual patients as needed.
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Affiliation(s)
- N. Jabin Gong
- School of Computer Science, College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA;
| | - Gari D. Clifford
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (J.L.M.)
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Christine D. Esper
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (C.D.E.); (S.A.F.)
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA; (C.D.E.); (S.A.F.)
| | - J. Lucas McKay
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (J.L.M.)
| | - Hyeokhyen Kwon
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA (J.L.M.)
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Camicioli R, Morris ME, Pieruccini‐Faria F, Montero‐Odasso M, Son S, Buzaglo D, Hausdorff JM, Nieuwboer A. Prevention of Falls in Parkinson's Disease: Guidelines and Gaps. Mov Disord Clin Pract 2023; 10:1459-1469. [PMID: 37868930 PMCID: PMC10585979 DOI: 10.1002/mdc3.13860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/28/2023] [Accepted: 07/08/2023] [Indexed: 10/24/2023] Open
Abstract
Background People living with Parkinson's disease (PD) have a high risk for falls. Objective To examine gaps in falls prevention targeting people with PD as part of the Task Force on Global Guidelines for Falls in Older Adults. Methods A Delphi consensus process was used to identify specific recommendations for falls in PD. The current narrative review was conducted as educational background with a view to identifying gaps in fall prevention. Results A recent Cochrane review recommended exercises and structured physical activities for PD; however, the types of exercises and activities to recommend and PD subgroups likely to benefit require further consideration. Freezing of gait, reduced gait speed, and a prior history of falls are risk factors for falls in PD and should be incorporated in assessments to identify fall risk and target interventions. Multimodal and multi-domain fall prevention interventions may be beneficial. With advanced or complex PD, balance and strength training should be administered under supervision. Medications, particularly cholinesterase inhibitors, show promise for falls prevention. Identifying how to engage people with PD, their families, and health professionals in falls education and implementation remains a challenge. Barriers to the prevention of falls occur at individual, environmental, policy, and health system levels. Conclusion Effective mitigation of fall risk requires specific targeting and strategies to reduce this debilitating and common problem in PD. While exercise is recommended, the types and modalities of exercise and how to combine them as interventions for different PD subgroups (cognitive impairment, freezing, advanced disease) need further study.
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Affiliation(s)
- Richard Camicioli
- Department of Medicine (Neurology) and Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Meg E. Morris
- La Trobe University, Academic and Research Collaborative in Health & HealthscopeMelbourneVictoriaAustralia
| | - Frederico Pieruccini‐Faria
- Gait and Brain Lab, Parkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine & DentistryWestern UniversityLondonOntarioCanada
| | - Manuel Montero‐Odasso
- Gait and Brain Lab, Parkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric Medicine, Department of Medicine, Schulich School of Medicine & DentistryWestern UniversityLondonOntarioCanada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & DentistryWestern UniversityLondonOntarioCanada
| | - Surim Son
- Gait and Brain Lab, Parkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & DentistryWestern UniversityLondonOntarioCanada
| | - David Buzaglo
- Center for the Study of Movement, Cognition and Mobility, Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael
| | - Jeffrey M. Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael
- Department of Physical Therapy, Faculty of Medicine, Sagol School of NeuroscienceTel Aviv UniversityTel AvivIsrael
- Rush Alzheimer's Disease Center and Department of Orthopedic SurgeryRush University Medical CenterChicagoIllinoisUSA
| | - Alice Nieuwboer
- Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy)KU LeuvenLeuvenBelgium
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Huddleston DE, Chen X, Hwang K, Langley J, Tripathi R, Tucker K, McKay JL, Hu X, Factor SA. Neuromelanin-sensitive MRI correlates of cognitive and motor function in Parkinson's disease with freezing of gait. FRONTIERS IN DEMENTIA 2023; 2:1215505. [PMID: 39082000 PMCID: PMC11285586 DOI: 10.3389/frdem.2023.1215505] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2024]
Abstract
Substantia nigra pars compacta (SNc) and locus coeruleus (LC) are neuromelanin-rich nuclei implicated in diverse cognitive and motor processes in normal brain function and disease. However, their roles in aging and neurodegenerative disease mechanisms have remained unclear due to a lack of tools to study them in vivo. Preclinical and post-mortem human investigations indicate that the relationship between tissue neuromelanin content and neurodegeneration is complex. Neuromelanin exhibits both neuroprotective and cytotoxic characteristics, and tissue neuromelanin content varies across the lifespan, exhibiting an inverted U-shaped relationship with age. Neuromelanin-sensitive MRI (NM-MRI) is an emerging modality that allows measurement of neuromelanin-associated contrast in SNc and LC in humans. NM-MRI robustly detects disease effects in these structures in neurodegenerative conditions, including Parkinson's disease (PD). Previous NM-MRI studies of PD have largely focused on detecting disease group effects, but few studies have reported NM-MRI correlations with phenotype. Because neuromelanin dynamics are complex, we hypothesize that they are best interpreted in the context of both disease stage and aging, with neuromelanin loss correlating with symptoms most clearly in advanced stages where neuromelanin loss and neurodegeneration are coupled. We tested this hypothesis using NM-MRI to measure SNc and LC volumes in healthy older adult control individuals and in PD patients with and without freezing of gait (FOG), a severe and disabling PD symptom. We assessed for group differences and correlations between NM-MRI measures and aging, cognition and motor deficits. SNc volume was significantly decreased in PD with FOG compared to controls. SNc volume correlated significantly with motor symptoms and cognitive measures in PD with FOG, but not in PD without FOG. SNc volume correlated significantly with aging in PD. When PD patients were stratified by disease duration, SNc volume correlated with aging, cognition, and motor deficits only in PD with disease duration >5 years. We conclude that in severe or advanced PD, identified by either FOG or disease duration >5 years, the observed correlations between SNc volume and aging, cognition, and motor function may reflect the coupling of neuromelanin loss with neurodegeneration and the associated emergence of a linear relationship between NM-MRI measures and phenotype.
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Affiliation(s)
- Daniel E. Huddleston
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Xiangchuan Chen
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kristy Hwang
- Department of Neurology, University of California, San Diego, La Jolla, CA, United States
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
| | - Richa Tripathi
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kelsey Tucker
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
- Department of Bioengineering, University of California, Riverside, Riverside, CA, United States
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
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10
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Huddleston DE, Chen X, Hwang K, Langley J, Tripathi R, Tucker K, McKay JL, Hu X, Factor SA. Neuromelanin-sensitive MRI correlates of cognitive and motor function in Parkinson's disease with freezing of gait. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.04.23292227. [PMID: 37461735 PMCID: PMC10350131 DOI: 10.1101/2023.07.04.23292227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Substantia nigra pars compacta (SNc) and locus coeruleus (LC) are neuromelanin-rich nuclei implicated in diverse cognitive and motor processes in normal brain function and disease. However, their roles in aging and neurodegenerative disease mechanisms have remained unclear due to a lack of tools to study them in vivo. Preclinical and post-mortem human investigations indicate that the relationship between tissue neuromelanin content and neurodegeneration is complex. Neuromelanin exhibits both neuroprotective and cytotoxic characteristics, and tissue neuromelanin content varies across the lifespan, exhibiting an inverted U-shaped relationship with age. Neuromelanin-sensitive MRI (NM-MRI) is an emerging modality that allows measurement of neuromelanin-associated contrast in SNc and LC in humans. NM-MRI robustly detects disease effects in these structures in neurodegenerative and psychiatric conditions, including Parkinson's disease (PD). Previous NM-MRI studies of PD have largely focused on detecting disease group effects, but few studies have reported NM-MRI correlations with phenotype. Because neuromelanin dynamics are complex, we hypothesize that they are best interpreted in the context of both disease stage and aging, with neuromelanin loss correlating with symptoms most clearly in advanced stages where neuromelanin loss and neurodegeneration are coupled. We tested this hypothesis using NM-MRI to measure SNc and LC volumes in healthy older adult control individuals and in PD patients with and without freezing of gait (FOG), a severe and disabling PD symptom. We assessed for group differences and correlations between NM-MRI measures and aging, cognition and motor deficits. SNc volume was significantly decreased in PD with FOG compared to controls. SNc volume correlated significantly with motor symptoms and cognitive measures in PD with FOG, but not in PD without FOG. SNc volume correlated significantly with aging in PD. When PD patients were stratified by disease duration, SNc volume correlated with aging, cognition, and motor deficits only in PD with disease duration >5 years. We conclude that in severe or advanced PD, identified by either FOG or disease duration >5 years, the observed correlations between SNc volume and aging, cognition, and motor function may reflect the coupling of neuromelanin loss with neurodegeneration and the associated emergence of a linear relationship between NM-MRI measures and phenotype.
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Affiliation(s)
- Daniel E. Huddleston
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Xiangchuan Chen
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Kristy Hwang
- Department of Neurology, University of California, San Diego
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA
| | - Richa Tripathi
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - Kelsey Tucker
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University, Atlanta, GA, USA
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA
- Department of Bioengineering, University of California Riverside, Riverside, CA, USA
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, USA
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Virmani T, Pillai L, Glover A, Landes RD. Levodopa responsive gait dynamics in OFF- and ONOFF-state freezing of gait in Parkinson's disease. Clin Park Relat Disord 2023; 9:100202. [PMID: 37288072 PMCID: PMC10241963 DOI: 10.1016/j.prdoa.2023.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/07/2023] [Accepted: 05/16/2023] [Indexed: 06/09/2023] Open
Abstract
Background In people with Parkinson's disease (PwPD), Freezing of Gait (FOG) episodes can be levodopa responsive (OFF-FOG) or levodopa unresponsive (ONOFF-FOG). Steady-state gait abnormalities, outside of the freezing episodes themselves also exist and the response to levodopa in these different groups has not been previously documented. Objectives To define the levodopa responsiveness in steady-state gait in OFF-FOG and ONOFF-FOG individuals. Methods Steady-state gait was collected in both the effective levodopa OFF-state (doses withheld > 8 h) and ON-state (1 h after levodopa dosing) in 32 PwPD; 10 with OFF-FOG and 22 with ONOFF-FOG. Levodopa response was compared between the two groups in the mean and variability (CV) of 8 spatiotemporal gait parameters. Results Both OFF-FOG and ONOFF-FOG participants showed improvement in mean stride-length and stride-velocity with levodopa. Improvement was seen in the OFF-FOG but not the ONOFF-FOG groups in mean stride-width and CV Integrated pressure with levodopa. Discussion In this study we show that steady-state gait deficits improve with levodopa in PwPD with OFF-FOG and ONOFF-FOG, even though episodes of FOG did not resolve in the ONOFF-FOG group. Lowering levodopa in people with ONOFF-FOG, or levodopa-unresponsive freezing of gait, should be undertake with caution and objective gait titration at different levodopa doses may be beneficial. Further work is needed to elucidate the pathophysiologic mechanisms of these differences.
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Affiliation(s)
- Tuhin Virmani
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Lakshmi Pillai
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Aliyah Glover
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Reid D. Landes
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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12
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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.
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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
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Kwon H, Clifford GD, Genias I, Bernhard D, Esper CD, Factor SA, McKay JL. An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients. SENSORS (BASEL, SWITZERLAND) 2023; 23:1766. [PMID: 36850363 PMCID: PMC9968199 DOI: 10.3390/s23041766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/27/2023] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Freezing of gait (FOG) is a poorly understood heterogeneous gait disorder seen in patients with parkinsonism which contributes to significant morbidity and social isolation. FOG is currently measured with scales that are typically performed by movement disorders specialists (i.e., MDS-UPDRS), or through patient completed questionnaires (N-FOG-Q) both of which are inadequate in addressing the heterogeneous nature of the disorder and are unsuitable for use in clinical trials The purpose of this study was to devise a method to measure FOG objectively, hence improving our ability to identify it and accurately evaluate new therapies. A major innovation of our study is that it is the first study of its kind that uses the largest sample size (>30 h, N = 57) in order to apply explainable, multi-task deep learning models for quantifying FOG over the course of the medication cycle and at varying levels of parkinsonism severity. We trained interpretable deep learning models with multi-task learning to simultaneously score FOG (cross-validated F1 score 97.6%), identify medication state (OFF vs. ON levodopa; cross-validated F1 score 96.8%), and measure total PD severity (MDS-UPDRS-III score prediction error ≤ 2.7 points) using kinematic data of a well-characterized sample of N = 57 patients during levodopa challenge tests. The proposed model was able to explain how kinematic movements are associated with each FOG severity level that were highly consistent with the features, in which movement disorders specialists are trained to identify as characteristics of freezing. Overall, we demonstrate that deep learning models' capability to capture complex movement patterns in kinematic data can automatically and objectively score FOG with high accuracy. These models have the potential to discover novel kinematic biomarkers for FOG that can be used for hypothesis generation and potentially as clinical trial outcome measures.
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Affiliation(s)
- Hyeokhyen Kwon
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Gari D. Clifford
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Imari Genias
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Doug Bernhard
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Christine D. Esper
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - J. Lucas McKay
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA
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14
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Potvin-Desrochers A, Atri A, Moreno AM, Paquette C. Levodopa alters resting-state functional connectivity more selectively in Parkinson's disease with freezing of gait. Eur J Neurosci 2023; 57:163-177. [PMID: 36251568 DOI: 10.1111/ejn.15849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/23/2022] [Accepted: 10/11/2022] [Indexed: 02/02/2023]
Abstract
Freezing of gait (FOG) is a debilitating motor symptom of Parkinson's disease (PD). Although PD dopaminergic medication (L-DOPA) seems to generally reduce FOG severity, its effect on neural mechanisms of FOG remains to be determined. The purpose of this study was to quantify the effect of L-DOPA on brain resting-state functional connectivity in individuals with FOG. Functional magnetic resonance imaging was acquired at rest in 30 individuals living with PD (15 freezers) in the ON- and OFF- medication state. A seed-to-voxel analysis was performed with seeds in the bilateral basal ganglia nuclei, the thalamus and the mesencephalic locomotor region. In freezers, medication-state contrasts revealed numerous changes in resting-state functional connectivity, not modulated by L-DOPA in non-freezers. In freezers, L-DOPA increased the functional connectivity between the seeds and regions including the posterior parietal, the posterior cingulate, the motor and the medial prefrontal cortices. Comparisons with non-freezers revealed that L-DOPA generally normalizes brain functional connectivity to non-freezers levels but can also increase functional connectivity, possibly compensating for dysfunctional networks in freezers. Our findings suggest that L-DOPA could contribute to a better sensorimotor, attentional, response inhibition and limbic processing to prevent FOG when triggers are encountered but could also contribute to FOG by interfering with the processing capacity of the striatum. This study shows that levodopa taken to control PD symptoms induces changes in functional connectivity at rest, in freezers only. Increases (green) in functional connectivity of GPe, GPi, putamen and thalamus with cognitive, sensorimotor and limbic cortical regions of the Interference model (blue) was observed. Our results suggest that levodopa can normalize connections similar to non-freezers or increases connectivity to compensate for dysfunctional networks.
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Affiliation(s)
- Alexandra Potvin-Desrochers
- Department of Kinesiology and Physical Education Montréal, McGill University, Montreal, Québec, Canada.,Integrated Program in Neuroscience, McGill University, Montreal, Québec, Canada.,Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Jewish Rehabilitation Hospital-CISSS de Laval, Laval, Québec, Canada
| | - Alisha Atri
- Department of Kinesiology and Physical Education Montréal, McGill University, Montreal, Québec, Canada
| | - Alejandra Martinez Moreno
- Department of Kinesiology and Physical Education Montréal, McGill University, Montreal, Québec, Canada.,Integrated Program in Neuroscience, McGill University, Montreal, Québec, Canada.,Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Jewish Rehabilitation Hospital-CISSS de Laval, Laval, Québec, Canada
| | - Caroline Paquette
- Department of Kinesiology and Physical Education Montréal, McGill University, Montreal, Québec, Canada.,Integrated Program in Neuroscience, McGill University, Montreal, Québec, Canada.,Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Jewish Rehabilitation Hospital-CISSS de Laval, Laval, Québec, Canada
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15
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Opova K, Limousin P, Akram H. Spinal Cord Stimulation for Gait Disorders in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:57-70. [PMID: 36683516 PMCID: PMC9912734 DOI: 10.3233/jpd-223284] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/22/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Spinal cord stimulation (SCS) is a therapeutic procedure widely used in the management of refractory chronic pain. Evidence from case reports and small descriptive studies has emerged suggesting a role for SCS in patients with gait dysfunction, such as freezing of gait (FoG) and postural imbalance. These are severely debilitating symptoms of advanced Parkinson's disease (PD). OBJECTIVE To establish the current evidence base for the potential application of SCS on gait and balance dysfunction in PD patients. METHODS Three online databases were screened for relevant manuscripts. Two separate searches and four different search strategies were applied to yield relevant results. The main parameters of interest were postural and gait symptoms; secondary outcomes were Quality of Life (QoL) and adverse effects. RESULTS Nineteen studies fulfilled the inclusion criteria. Motor improvements using section III of the Unified Parkinson's Disease Rating Score (UPDRS-III) were available in 13 studies. Measurements to assess FoG reported the following improvements: FoG questionnaires (in 1/19 studies); generalized freezing parameters (2); and walkway/wireless accelerometer measurements (2). Parameters of postural imbalance and falling improved as follows: BBS (1); posture sagittal vertical axis (1); and generalized data on postural instability (8). Two studies reported on adverse effects. QoL was shown to improve as follows: EQ-5D (2); ADL (1); SF-36 (1); BDI-II (1); PDQ-8 (1); HDRS (1); and VAS (5). CONCLUSION SCS may have a therapeutic potential in advanced PD patients suffering from postural and gait-related symptoms. The existing evidence suggests that SCS positively affects patients' QoL with an acceptable safety profile in this patient population.
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Affiliation(s)
- Karolina Opova
- Unit of Functional Neurosurgery, Queen Square Institute of Neurology, University College London (UCL), London, UK
| | - Patricia Limousin
- Unit of Functional Neurosurgery, Queen Square Institute of Neurology, University College London (UCL), London, UK
| | - Harith Akram
- Unit of Functional Neurosurgery, Queen Square Institute of Neurology, University College London (UCL), London, UK
- Victor Horsley Department of Neurosurgery, the National Hospital for Neurology and Neurosurgery, University College London Hospitals (UCLH), Queen Square, London, UK
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16
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Scully AE, de Oliveira BIR, Hill KD, Tan D, Pua YH, Clark R, Burton E. Developing the Freezing of Gait Severity Tool: A Delphi consensus study to determine the content of a clinician-rated assessment for freezing of gait severity. Clin Rehabil 2022; 36:1679-1693. [DOI: 10.1177/02692155221121180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives There is no standardisation of tasks or measures for evaluation of freezing of gait severity in people with Parkinson's disease. This study aimed to develop a clinician-rated tool for freezing of gait severity (i.e. Freezing of Gait Severity Tool), through determining clinicians’ ratings of the most important triggering circumstances to be examined and aspects of freezing of gait to be measured. Design A three-round, web-based Delphi study. Participants Healthcare professionals, with at least five years’ experience in managing freezing of gait in people with Parkinson. Main outcome measures Round 1 required participants ( n = 28) to rate items on a 5-point Likert scale, based on priority for inclusion in the Freezing of Gait Severity Tool. In Round 2, participants ( n = 18) ranked the items based on priority for inclusion. In Round 3, participants ( n = 18) confirmed or rejected the shortlisted items by judging their ability, on a binary scale, to screen for freezing of gait, detect changes in freezing severity, and discriminate between degrees of severity. Results Participants agreed with the triggering circumstances of turning hesitation, narrow space hesitation, start hesitation, cognitive dual-tasking, and open space hesitation should be assessed; and the aspects of gait freezing to be measured included freezing type, number of freezing episodes during a task, and average duration of freezing episodes. Conclusions This study attained a consensus for the items to be included in a clinician-rated tool for freezing of gait severity. Future studies should investigate psychometric properties and clinical feasibility of the Freezing of Gait Severity Tool.
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Affiliation(s)
- Aileen E Scully
- Curtin School of Allied Health, Curtin University, Bentley, Western Australia, Australia
| | - Beatriz IR 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
| | - Dawn Tan
- Health and Social Sciences, Singapore Institute of Technology, Singapore
- Department of Physiotherapy, Singapore General Hospital, Singapore
| | - Yong Hao Pua
- Department of Physiotherapy, Singapore General Hospital, Singapore
| | - Ross Clark
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Elissa Burton
- Curtin School of Allied Health, Curtin University, Bentley, Western Australia, Australia
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17
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Li W, Chen X, Zhang J, Lu J, Zhang C, Bai H, Liang J, Wang J, Du H, Xue G, Ling Y, Ren K, Zou W, Chen C, Li M, Chen Z, Zou H. Recognition of Freezing of Gait in Parkinson’s Disease Based on Machine Vision. Front Aging Neurosci 2022; 14:921081. [PMID: 35912091 PMCID: PMC9329960 DOI: 10.3389/fnagi.2022.921081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/21/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundFreezing of gait (FOG) is a common clinical manifestation of Parkinson’s disease (PD), mostly occurring in the intermediate and advanced stages. FOG is likely to cause patients to fall, resulting in fractures, disabilities and even death. Currently, the pathogenesis of FOG is unclear, and FOG detection and screening methods have various defects, including subjectivity, inconvenience, and high cost. Due to limited public healthcare and transportation resources during the COVID-19 pandemic, there are greater inconveniences for PD patients who need diagnosis and treatment.ObjectiveA method was established to automatically recognize FOG in PD patients through videos taken by mobile phone, which is time-saving, labor-saving, and low-cost for daily use, which may overcome the above defects. In the future, PD patients can undergo FOG assessment at any time in the home rather than in the hospital.MethodsIn this study, motion features were extracted from timed up and go (TUG) test and the narrow TUG (Narrow) test videos of 50 FOG-PD subjects through a machine learning method; then a motion recognition model to distinguish between walking and turning stages and a model to recognize FOG in these stages were constructed using the XGBoost algorithm. Finally, we combined these three models to form a multi-stage FOG recognition model.ResultsWe adopted the leave-one-subject-out (LOSO) method to evaluate model performance, and the multi-stage FOG recognition model achieved a sensitivity of 87.5% sensitivity and a specificity of 79.82%.ConclusionA method to realize remote PD patient FOG recognition based on mobile phone video is presented in this paper. This method is convenient with high recognition accuracy and can be used to rapidly evaluate FOG in the home environment and remotely manage FOG-PD, or screen patients in large-scale communities.
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Affiliation(s)
- Wendan Li
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
- Graduate School, Guangzhou University of Chinese Medicine, Guangzhou, China
| | | | - Jintao Zhang
- Department of Neurology, The 960th Hospital of PLA, Taian, China
| | - Jianjun Lu
- Department of Neurosurgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Chencheng Zhang
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmin Bai
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
| | - Junchao Liang
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
| | - Jiajia Wang
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
| | - Hanqiang Du
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
| | - Gaici Xue
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
| | - Yun Ling
- GYENNO SCIENCE Co., LTD., Shenzhen, China
| | - Kang Ren
- GYENNO SCIENCE Co., LTD., Shenzhen, China
| | | | - Cheng Chen
- GYENNO SCIENCE Co., LTD., Shenzhen, China
| | - Mengyan Li
- Department of Neurology, Guangzhou First People’s Hospital, Guangzhou, China
- *Correspondence: Mengyan Li,
| | - Zhonglue Chen
- GYENNO SCIENCE Co., LTD., Shenzhen, China
- HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, Wuhan, China
- Zhonglue Chen,
| | - Haiqiang Zou
- Department of Neurosurgery, General Hospital of Southern Theater Command of PLA, Guangzhou, China
- Branch of National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Guangzhou, China
- Haiqiang Zou,
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18
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Shi B, Tay A, Au WL, Tan DML, Chia NSY, Yen SC. Detection of Freezing of Gait Using Convolutional Neural Networks and Data From Lower Limb Motion Sensors. IEEE Trans Biomed Eng 2022; 69:2256-2267. [PMID: 34986092 DOI: 10.1109/tbme.2022.3140258] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Parkinson's disease (PD) is a chronic, non-reversible neurodegenerative disorder, and freezing of gait (FOG) is one of the most disabling symptoms in PD as it is often the leading cause of falls and injuries that drastically reduces patients' quality of life. In order to monitor continuously and objectively PD patients who suffer from FOG and enable the possibility of on-demand cueing assistance, a sensor-based FOG detection solution can help clinicians manage the disease and help patients overcome freezing episodes. Many recent studies have leveraged deep learning models to detect FOG using signals extracted from inertial measurement unit (IMU) devices. Usually, the latent features and patterns of FOG are discovered from either the time or frequency domain. In this study, we investigated the use of the time-frequency domain by applying the Continuous Wavelet Transform to signals from IMUs placed on the lower limbs of 63 PD patients who suffered from FOG. We built convolutional neural networks to detect the FOG occurrences, and employed the Bayesian Optimisation approach to obtain the hyper-parameters. The results showed that the proposed subject-independent model was able to achieve a geometric mean of 90.7% and a F1 score of 91.5%.
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Landes RD, Glover A, Pillai L, Doerhoff S, Virmani T. Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype. PLoS One 2022; 17:e0269227. [PMID: 35653359 PMCID: PMC9162361 DOI: 10.1371/journal.pone.0269227] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 05/17/2022] [Indexed: 11/18/2022] Open
Abstract
Background Freezing in the levodopa-medicated-state (ON-state) is a debilitating feature of Parkinson’s disease without treatment options. Studies detailing the distinguishing features between people with freezing of gait that improves with levodopa and those whose freezing continues even on levodopa are lacking. Objective To characterize the gross motor, gait, and non-motor features of this phenotype. Methods Instrumented continuous gait was collected in the levodopa-medicated-state in 105 patients: 43 non-freezers (no-FOG), 36 with freezing only OFF-levodopa (OFF-FOG) and 26 with freezing both ON- and OFF-levodopa (ONOFF-FOG). Evaluation of motor and non-motor disease features was undertaken using validated scales. A linear mixed model with age, sex, disease duration, and motor UPDRS scores as covariates was used to determine differences in spatiotemporal gait and non-motor disease features among the groups. Results Compared to OFF-FOG, the ONOFF-FOG group had greater disease severity (on the Unified Parkinson’s disease Rating Scale) and worse cognition (on the Montreal Cognitive Assessment, Frontal Assessment Battery and Scales for Outcome in Parkinson’s disease-Cognition scales) and quality of life (on the PDQ-39), but similar mood (on the Hamilton depression and anxiety scales) and sleep quality (on Epworth sleepiness scale and RBD questionnaire). For several gait features, differences between the ONOFF-OFF groups were at least as large and in the opposite direction as differences between OFF-no groups, controlling for disease severity. Variability in ONOFF-FOG was greater than in other groups. Using results from our study and others, a power analysis for a potential future study reveals sample sizes of at least 80 ONOFF and 80 OFF-FOG patients would be needed to detect clinically meaningful differences. Conclusions Intra-patient variability in spatiotemporal gait features was much greater in ONOFF-FOG than in the other two groups. Our results suggest that multifactorial deficits may lead to ONOFF-FOG development.
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Affiliation(s)
- Reid D. Landes
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Aliyah Glover
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Lakshmi Pillai
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Shannon Doerhoff
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Tuhin Virmani
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
- Center for Translational Neuroscience, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
- * E-mail:
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20
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Lewis S, Factor S, Giladi N, Nieuwboer A, Nutt J, Hallett M. Stepping up to meet the challenge of freezing of gait in Parkinson's disease. Transl Neurodegener 2022; 11:23. [PMID: 35490252 PMCID: PMC9057060 DOI: 10.1186/s40035-022-00298-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 03/31/2022] [Indexed: 11/20/2022] Open
Abstract
There has been a growing appreciation for freezing of gait as a disabling symptom that causes a significant burden in Parkinson’s disease. Previous research has highlighted some of the key components that underlie the phenomenon, but these reductionist approaches have yet to lead to a paradigm shift resulting in the development of novel treatment strategies. Addressing this issue will require greater integration of multi-modal data with complex computational modeling, but there are a number of critical aspects that need to be considered before embarking on such an approach. This paper highlights where the field needs to address current gaps and shortcomings including the standardization of definitions and measurement, phenomenology and pathophysiology, as well as considering what available data exist and how future studies should be constructed to achieve the greatest potential to better understand and treat this devastating symptom.
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Affiliation(s)
- Simon Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
| | - Stewart Factor
- Jean and Paul Amos Parkinson's Disease and Movement Disorders Program, Emory University School of Medicine, Atlanta, GA, USA
| | - Nir Giladi
- Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Alice Nieuwboer
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - John Nutt
- Movement Disorder Section, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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21
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Lench DH, Keith K, Wilson S, Padgett L, Benitez A, Ramakrishnan V, Jensen JH, Bonilha L, Revuelta GJ. Neurodegeneration of the Globus Pallidus Internus as a Neural Correlate to Dopa-Response in Freezing of Gait. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1241-1250. [PMID: 35367969 PMCID: PMC10792667 DOI: 10.3233/jpd-213062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND Background: Parkinson's disease (PD) patients who develop freezing of gait (FOG) have reduced mobility and independence. While some patients experience improvement in their FOG symptoms with dopaminergic therapies, a subset of patients have little to no response. To date, it is unknown what changes in brain structure underlie dopa-response and whether this can be measured using neuroimaging approaches. OBJECTIVE We tested the hypothesis that structural integrity of brain regions (subthalamic nucleus and globus pallidus internus, GPi) which link basal ganglia to the mesencephalic locomotor region (MLR), a region involved in automatic gait, would be associated with FOG response to dopaminergic therapy. METHODS In this observational study, thirty-six participants with PD and definite FOG were recruited to undergo diffusion kurtosis imaging (DKI) and multiple assessments of dopa responsiveness (UPDRS scores, gait times ON versus OFF medication). RESULTS The right GPi in participants with dopa-unresponsive FOG showed reduced fractional anisotropy, mean kurtosis (MK), and increased radial diffusivity relative to those with dopa-responsive FOG. Furthermore, using probabilistic tractography, we observed reduced MK and increased mean diffusivity along the right GPi-MLR tract in dopa-unresponsive FOG. MK in the right GPi was associated with a subjective dopa-response for FOG (r = -0.360, df = 30, p = 0.043) but not overall motor dopa-response. CONCLUSION These results support structural integrity of the GPi as a correlate to dopa-response in FOG. Additionally, this study suggests DKI metrics may be a sensitive biomarker for clinical studies targeting dopaminergic circuitry and improvements in FOG behavior.
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Affiliation(s)
- Daniel H. Lench
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | - Kathryn Keith
- Department of Public Health Sciences, Medical University of South Carlina, Charleston, SC, USA
| | - Sandra Wilson
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | - Lucas Padgett
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | - Andreana Benitez
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
- Center for Biomedical Imaging, Medical University of South Carlina, Charleston, SC, USA
| | | | - Jens H. Jensen
- Department of Neuroscience, Medical University of South Carlina, Charleston, SC, USA
- Center for Biomedical Imaging, Medical University of South Carlina, Charleston, SC, USA
| | - Leonardo Bonilha
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
| | - Gonzalo J. Revuelta
- Department of Neurology, Medical University of South Carlina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
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22
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Bohnen NI, Costa RM, Dauer WT, Factor SA, Giladi N, Hallett M, Lewis SJ, Nieuwboer A, Nutt JG, Takakusaki K, Kang UJ, Przedborski S, Papa SM. Discussion of Research Priorities for Gait Disorders in Parkinson's Disease. Mov Disord 2021; 37:253-263. [PMID: 34939221 PMCID: PMC10122497 DOI: 10.1002/mds.28883] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/08/2021] [Accepted: 11/10/2021] [Indexed: 12/18/2022] Open
Abstract
Gait and balance abnormalities develop commonly in Parkinson's disease and are among the motor symptoms most disabling and refractory to dopaminergic or other treatments, including deep brain stimulation. Efforts to develop effective therapies are challenged by limited understanding of these complex disorders. There is a major need for novel and appropriately targeted research to expedite progress in this area. The Scientific Issues Committee of the International Parkinson and Movement Disorder Society has charged a panel of experts in the field to consider the current knowledge gaps and determine the research routes with highest potential to generate groundbreaking data. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Nicolaas I. Bohnen
- Departments of Radiology and Neurology University of Michigan and VA Ann Arbor Healthcare System Ann Arbor Michigan USA
| | - Rui M. Costa
- Departments of Neuroscience and Neurology, Zuckerman Mind Brain Behavior Institute Columbia University New York New York USA
| | - William T. Dauer
- Departments of Neurology and Neuroscience The Peter O'Donnell Jr. Brain Institute, UT Southwestern Dallas Texas USA
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson's Disease and Movement Disorders Program Emory University School of Medicine Atlanta Georgia USA
| | - Nir Giladi
- Movement Disorders Unit, Department of Neurology, Tel‐Aviv Sourasky Medical Center, Sackler School of Medicine and Sagol School of Neuroscience Tel Aviv University Tel Aviv Israel
| | - Mark Hallett
- Human Motor Control Section National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda Maryland USA
| | - Simon J.G. Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences University of Sydney Sydney New South Wales Australia
| | - Alice Nieuwboer
- Department of Rehabilitation Sciences KU Leuven Leuven Belgium
| | - John G. Nutt
- Movement Disorder Section, Department of Neurology Oregon Health & Science University Portland Oregon USA
| | - Kaoru Takakusaki
- Department of Physiology, Section of Neuroscience Asahikawa Medical University Asahikawa Japan
| | - Un Jung Kang
- Departments of Neurology, Neuroscience, and Physiology Neuroscience Institute, The Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders, The Parekh Center for Interdisciplinary Neurology, New York University Grossman School of Medicine New York New York USA
| | - Serge Przedborski
- Departments of Pathology and Cell Biology, Neurology, and Neuroscience Columbia University New York New York USA
| | - Stella M. Papa
- Department of Neurology, School of Medicine, and Yerkes National Primate Research Center Emory University Atlanta Georgia USA
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23
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Filtjens B, Ginis P, Nieuwboer A, Afzal MR, Spildooren J, Vanrumste B, Slaets P. Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation. BMC Med Inform Decis Mak 2021; 21:341. [PMID: 34876110 PMCID: PMC8650332 DOI: 10.1186/s12911-021-01699-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 11/23/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Although deep neural networks (DNNs) are showing state of the art performance in clinical gait analysis, they are considered to be black-box algorithms. In other words, there is a lack of direct understanding of a DNN's ability to identify relevant features, hindering clinical acceptance. Interpretability methods have been developed to ameliorate this concern by providing a way to explain DNN predictions. METHODS This paper proposes the use of an interpretability method to explain DNN decisions for classifying the movement that precedes freezing of gait (FOG), one of the most debilitating symptoms of Parkinson's disease (PD). The proposed two-stage pipeline consists of (1) a convolutional neural network (CNN) to model the reduction of movement present before a FOG episode, and (2) layer-wise relevance propagation (LRP) to visualize the underlying features that the CNN perceives as important to model the pathology. The CNN was trained with the sagittal plane kinematics from a motion capture dataset of fourteen PD patients with FOG. The robustness of the model predictions and learned features was further assessed on fourteen PD patients without FOG and fourteen age-matched healthy controls. RESULTS The CNN proved highly accurate in modelling the movement that precedes FOG, with 86.8% of the strides being correctly identified. However, the CNN model was unable to model the movement for one of the seven patients that froze during the protocol. The LRP interpretability case study shows that (1) the kinematic features perceived as most relevant by the CNN are the reduced peak knee flexion and the fixed ankle dorsiflexion during the swing phase, (2) very little relevance for FOG is observed in the PD patients without FOG and the healthy control subjects, and (3) the poor predictive performance of one subject is attributed to the patient's unique and severely flexed gait signature. CONCLUSIONS The proposed pipeline can aid clinicians in explaining DNN decisions in clinical gait analysis and aid machine learning practitioners in assessing the generalization of their models by ensuring that the predictions are based on meaningful kinematic features.
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Affiliation(s)
- Benjamin Filtjens
- Intelligent Mobile Platform Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium.
- eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), 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
| | - Alice Nieuwboer
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, 3001, Heverlee, Belgium
| | - Muhammad Raheel Afzal
- Intelligent Mobile Platform Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
| | - Joke Spildooren
- Faculty of Rehabilitation Sciences, REVAL - Rehabilitation Research Center, Hasselt University, Agoralaan Building A, 3590, Diepenbeek, Belgium
| | - Bart Vanrumste
- eMedia Research Lab/STADIUS, Department of Electrical Engineering (ESAT), KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
| | - Peter Slaets
- Intelligent Mobile Platform Research Group, Department of Mechanical Engineering, KU Leuven, Andreas Vesaliusstraat 13, 3000, Leuven, Belgium
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Steidel K, Ruppert MC, Palaghia I, Greuel A, Tahmasian M, Maier F, Hammes J, van Eimeren T, Timmermann L, Tittgemeyer M, Drzezga A, Pedrosa D, Eggers C. Dopaminergic pathways and resting-state functional connectivity in Parkinson's disease with freezing of gait. Neuroimage Clin 2021; 32:102899. [PMID: 34911202 PMCID: PMC8645514 DOI: 10.1016/j.nicl.2021.102899] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 11/15/2022]
Abstract
Freezing of gait is a common phenomenon of advanced Parkinson's disease. Besides locomotor function per se, a role of cognitive deficits has been suggested. Limited evidence of associated dopaminergic deficits points to caudatal denervation. Further, altered functional connectivity within resting-state networks with importance for cognitive functions has been described in freezers. A potential pathophysiological link between both imaging findings has not yet been addressed. The current study sought to investigate the association between dopaminergic pathway dysintegrity and functional dysconnectivity in relation to FOG severity and cognitive performance in a well-characterized PD cohort undergoing high-resolution 6-[18F]fluoro-L-Dopa PET and functional MRI. The freezing of gait questionnaire was applied to categorize patients (n = 59) into freezers and non-freezers. A voxel-wise group comparison of 6-[18F]fluoro-L-Dopa PET scans with focus on striatum was performed between both well-matched and neuropsychologically characterized patient groups. Seed-to-voxel resting-state functional connectivity maps of the resulting dopamine depleted structures and dopaminergic midbrain regions were created and compared between both groups. For a direct between-group comparison of dopaminergic pathway integrity, a molecular connectivity approach was conducted on 6-[18F]fluoro-L-Dopa scans. With respect to striatal regions, freezers showed significant dopaminergic deficits in the left caudate nucleus, which exhibited altered functional connectivity with regions of the visual network. Regarding midbrain structures, the bilateral ventral tegmental area showed altered functional coupling to regions of the default mode network. An explorative examination of the integrity of dopaminergic pathways by molecular connectivity analysis revealed freezing-associated impairments in mesolimbic and mesocortical pathways. This study represents the first characterization of a link between dopaminergic pathway dysintegrity and altered functional connectivity in Parkinson's disease with freezing of gait and hints at a specific involvement of striatocortical and mesocorticolimbic pathways in freezers.
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Affiliation(s)
- Kenan Steidel
- Department of Neurology, University Hospital of Marburg, Germany.
| | - Marina C Ruppert
- Department of Neurology, University Hospital of Marburg, Germany; Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Germany
| | - Irina Palaghia
- Department of Neurology, University Hospital of Marburg, Germany
| | - Andrea Greuel
- Department of Neurology, University Hospital of Marburg, Germany
| | - Masoud Tahmasian
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Franziska Maier
- Department of Psychiatry, University Hospital Cologne, Medical Faculty, Cologne, Germany
| | - Jochen Hammes
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty and University Hospital Cologne, University Hospital Cologne, Germany
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty and University Hospital Cologne, University Hospital Cologne, Germany; Department of Neurology, Medical Faculty and University Hospital Cologne, University Hospital Cologne, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn- Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital of Marburg, Germany; Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Germany
| | - Marc Tittgemeyer
- Max Planck Institute for Metabolism Research, Cologne, Germany; Cluster of Excellence in Cellular Stress and Aging Associated Disease (CECAD), Cologne, Germany
| | - Alexander Drzezga
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Medical Faculty and University Hospital Cologne, University Hospital Cologne, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn- Cologne, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-2), Research Center Jülich, Germany
| | - David Pedrosa
- Department of Neurology, University Hospital of Marburg, Germany; Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Germany
| | - Carsten Eggers
- Department of Neurology, University Hospital of Marburg, Germany; Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Germany
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25
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Cerebrospinal fluid biomarkers in Parkinson's disease with freezing of gait: an exploratory analysis. NPJ Parkinsons Dis 2021; 7:105. [PMID: 34845234 PMCID: PMC8629994 DOI: 10.1038/s41531-021-00247-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 10/27/2021] [Indexed: 01/06/2023] Open
Abstract
We explore the association between three Alzheimer’s disease-related and ten inflammation-related CSF markers and freezing of gait (FOG) in patients with Parkinson’s disease (PD). The study population includes PD patients with FOG (PD-FOG, N = 12), without FOG (PD-NoFOG, N = 19), and healthy controls (HC, N = 12). Age and PD duration are not significantly different between groups. After adjusting for covariates and multiple comparisons, the anti-inflammatory marker, fractalkine, is significantly decreased in the PD groups compared to HC (P = 0.002), and further decreased in PD-FOG compared to PD-NoFOG (P = 0.007). The Alzheimer’s disease-related protein, Aβ42, is increased in PD-FOG compared to PD-NoFOG and HC (P = 0.001). Group differences obtained in individual biomarker analyses are confirmed with multivariate discriminant partial least squares regression (P < 0.001). High levels of Aβ42 in PD-FOG patients supports an increase over time from early to advanced state. Low levels of fractalkine might suggest anti-inflammatory effect. These findings warrant replication.
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26
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Zoetewei D, Herman T, Brozgol M, Ginis P, Thumm PC, Ceulemans E, Decaluwé E, Palmerini L, Ferrari A, Nieuwboer A, Hausdorff JM. Protocol for the DeFOG trial: A randomized controlled trial on the effects of smartphone-based, on-demand cueing for freezing of gait in Parkinson's disease. Contemp Clin Trials Commun 2021; 24:100817. [PMID: 34816053 PMCID: PMC8591418 DOI: 10.1016/j.conctc.2021.100817] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/22/2021] [Accepted: 06/27/2021] [Indexed: 12/16/2022] Open
Abstract
Background Freezing of gait (FOG) is a highly incapacitating symptom that affects many people with Parkinson's disease (PD). Cueing triggered upon real-time FOG detection (on-demand cueing) shows promise for FOG treatment. Yet, the feasibility of implementation and efficacy in daily life is still unknown. Therefore, this study aims to investigate the effectiveness of DeFOG: a smartphone and sensor-based on-demand cueing solution for FOG. Methods Sixty-two PD patients with FOG will be recruited for this single-blind, multi-center, randomized controlled phase II trial. Patients will be randomized into either the intervention group or the active control group. For four weeks, both groups will receive feedback about their physical activity using the wearable DeFOG system in daily life. In addition, the intervention group will also receive on-demand auditory cueing and instructions. Before and after the intervention, home-based assessments will be performed to evaluate the primary outcome, i.e., “percentage time frozen” during a FOG-provoking protocol. Secondary outcomes include the training effects on physical activity monitored over 7 days and the user-friendliness of the technology. Discussion The DeFOG trial will investigate the effectiveness of personalized on-demand cueing in a controlled design, delivered for 4 weeks in the patient's home environment. We anticipate that DeFOG will reduce FOG to a greater degree than in the control group and we will explore the impact of the intervention on physical activity levels. We expect to gain in-depth insight into whether and how patients control FOG using cueing methods in their daily lives. Trial registration Clinicaltrials.gov NCT03978507.
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Affiliation(s)
- Demi Zoetewei
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Talia Herman
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Marina Brozgol
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Pieter Ginis
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Pablo Cornejo Thumm
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Eva Ceulemans
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Eva Decaluwé
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Luca Palmerini
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, 40136, Bologna, Italy.,Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, 40126, Bologna, Italy
| | - Alberto Ferrari
- Department of Engineering "Enzo Ferrari" University of Modena and Reggio Emilia, Modena, Italy.,Science & Technology Park for Medicine, TPM, Democenter Foundation, Mirandola, Modena, Italy
| | - Alice Nieuwboer
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), Leuven, Belgium
| | - Jeffrey M Hausdorff
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Israel.,Department of Physical Therapy, Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Rush Alzheimer's Disease Center and Department of Orthopedic Surgery, Rush University, Chicago, IL, USA
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27
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Hulzinga F, de Rond V, Vandendoorent B, Gilat M, Ginis P, D'Cruz N, Schlenstedt C, Nieuwboer A. Repeated Gait Perturbation Training in Parkinson's Disease and Healthy Older Adults: A Systematic Review and Meta-Analysis. Front Hum Neurosci 2021; 15:732648. [PMID: 34764860 PMCID: PMC8576267 DOI: 10.3389/fnhum.2021.732648] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Gait impairments are common in healthy older adults (HOA) and people with Parkinson's disease (PwPD), especially when adaptations to the environment are required. Traditional rehabilitation programs do not typically address these adaptive gait demands in contrast to repeated gait perturbation training (RGPT). RGPT is a novel reactive form of gait training with potential for both short and long-term consolidation in HOA and PwPD. The aim of this systematic review with meta-analysis is to determine whether RGPT is more effective than non-RGPT gait training in improving gait and balance in HOA and PwPD in the short and longer term. Methods: This review was conducted according to the PRISMA-guidelines and pre-registered in the PROSPERO database (CRD42020183273). Included studies tested the effects of any form of repeated perturbations during gait in HOA and PwPD on gait speed, step or stride length. Studies using balance scales or sway measures as outcomes were included in a secondary analysis. Effects of randomized controlled trials (RCT) on RGPT were pooled using a meta-analysis of final measures. Results: Of the 4421 studies, eight studies were deemed eligible for review, of which six could be included in the meta-analysis, totaling 209 participants (159 PwPD and 50 HOA). The studies were all of moderate quality. The meta-analysis revealed no significant effects of RGPT over non-RGPT training on gait performance (SMD = 0.16; 95% CI = -0.18, 0.49; Z = 0.92; P = 0.36). Yet, in some individual studies, favorable effects on gait speed, step length and stride length were observed immediately after the intervention as well as after a retention period. Gait variability and asymmetry, signifying more direct outcomes of gait adaptation, also indicated favorable RGPT effects in some individual studies. Conclusion: Despite some promising results, the pooled effects of RGPT on gait and balance were not significantly greater as compared to non-RGPT gait training in PwPD and HOA. However, these findings could have been driven by low statistical power. Therefore, the present review points to the imperative to conduct sufficiently powered RCT's to verify the true effects of RGPT on gait and balance in HOA and PwPD. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php? Identifier: CRD42020183273.
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Affiliation(s)
- Femke Hulzinga
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Veerle de Rond
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Britt Vandendoorent
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Moran Gilat
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Pieter Ginis
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Nicholas D'Cruz
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Christian Schlenstedt
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel, Kiel, Germany
- Institute of Interdisciplinary Exercise Science and Sports Medicine, Department Performance, Neuroscience, Therapy and Health, Medical School Hamburg, Hamburg, Germany
| | - Alice Nieuwboer
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
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28
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Tan XS, Pierres F, Dallman-Porter A, Hardie-Brown W, Kwon KY. Focused Vibrotactile Stimulation with Cueing Effect on Freezing of Gait in Parkinson's Disease: Two Case Reports. J Mov Disord 2021; 14:236-238. [PMID: 34488302 PMCID: PMC8490196 DOI: 10.14802/jmd.21076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 07/18/2021] [Indexed: 11/24/2022] Open
Abstract
Freezing of gait (FOG) is a common occurrence in patients with Parkinson’s disease (PD) that leads to significant limitations in mobility and increases risk of falls. Focused vibrotactile stimulation and cueing are two methods used to alleviate motor symptoms, including FOG, in patients with PD. While effective on their own, the effect of combining both focused vibrotactile stimulation and cueing has yet to be investigated. Two patients, both with a history of PD, suffered from frequent FOG episodes that failed to respond adequately to medication. A novel vibrotactile stimulation device that delivered rhythmic kinesthetic stimuli onto the sternum successfully reduced FOG episodes in both patients and drastically improved their mobility as measured by the Timed Up and Go test. We found that a combination of focused vibrotactile stimulation and cueing was effective in reducing FOG episodes in two patients with PD. Further well-designed prospective studies are needed to confirm our observations.
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Affiliation(s)
- Xiu Sheng Tan
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.,Charco Neurotech Ltd., London, United Kingdom
| | - Floyd Pierres
- Charco Neurotech Ltd., London, United Kingdom.,Department of Critical Care, North West Anglia NHS Foundation Trust, Peterborough, United Kingdom
| | | | | | - Kyum-Yil Kwon
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
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29
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Yu Q, Li Q, Fang W, Wang Y, Zhu Y, Wang J, Shen Y, Han Y, Zou D, Cheng O. Disorganized resting-state functional connectivity between the dorsal attention network and intrinsic networks in Parkinson's disease with freezing of gait. Eur J Neurosci 2021; 54:6633-6645. [PMID: 34479401 DOI: 10.1111/ejn.15439] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 08/28/2021] [Accepted: 08/29/2021] [Indexed: 11/30/2022]
Abstract
Freezing of gait (FOG) is a common and complex manifestation of Parkinson's disease (PD) and is associated with impairment of attention. The purpose of this study was to evaluate the functional network connectivity (FNc) changes between the dorsal attention network (DAN) and the other seven intrinsic networks relevant to attention, visual-spatial, executive and motor functions in PD with or without FOG. Forty-three idiopathic PD patients (21 with FOG [FOG+] versus 22 without FOG [FOG-]) and 18 healthy controls (HC) were recruited in this study. The data-driven independent component analysis (ICA) method was used to extract and analyze the above-mentioned resting-state networks (RSNs). Compared with FOG-, FOG+ displayed decreased positive connectivity between the DAN and medial visual network (mVN) and sensory-motor network (SMN) and increased negative connectivity between the DAN and default mode network (DMN). The within-network connectivity in the SMN and visual networks were decreased, whereas the connectivity within DMN was increased significantly in FOG+. Correlation analysis showed that the clock drawing test (CDT) scores were positively correlated with the functional connectivity of mVN (r = 0.573, p = 0.008) and lateral visual network (lVN) (r = 0.510, p = 0.022), the Timed Up and Go Test (TUG) duration were negatively correlated with the connectivity of SMN (r = -0.629, p = 0.003), and the Frontal Assessment Battery (FAB) scores were negatively correlated with the connectivity of DMN in FOG+. Functional connectivity was changed in multiple intra-networks in patients with FOG. Inordinate inter-network connectivity between the DAN and other intrinsic networks may partly contribute to the mechanism of freezing.
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Affiliation(s)
- Qian Yu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Qun Li
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Weidong Fang
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yuchan Wang
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yingcheng Zhu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Juan Wang
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yalian Shen
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yu Han
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dezhi Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Oumei Cheng
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China
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30
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Dijkstra BW, Gilat M, Cofré Lizama LE, Mancini M, Bergmans B, Verschueren SMP, Nieuwboer A. Impaired Weight-Shift Amplitude in People with Parkinson's Disease with Freezing of Gait. JOURNAL OF PARKINSONS DISEASE 2021; 11:1367-1380. [PMID: 33749618 DOI: 10.3233/jpd-202370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND People with Parkinson's disease and freezing of gait (FOG; freezers) suffer from pronounced postural instability. However, the relationship between these phenomena remains unclear and has mostly been tested in paradigms requiring step generation. OBJECTIVE To determine if freezing-related dynamic balance deficits are present during a task without stepping and determine the influence of dopaminergic medication on dynamic balance control. METHODS Twenty-two freezers, 16 non-freezers, and 20 healthy age-matched controls performed mediolateral weight-shifts at increasing frequencies when following a visual target projected on a screen (MELBA task). The amplitude and phase shift differences between center of mass and target motion were measured. Balance scores (Mini-BESTest), 360° turning speed and the freezing ratio were also measured. Subjects with Parkinson's disease were tested ON and partial OFF (overnight withdrawal) dopaminergic medication. RESULTS Freezers had comparable turning speed and balance scores to non-freezers and took more levodopa. Freezers produced hypokinetic weight-shift amplitudes throughout the MELBA task compared to non-freezers (p = 0.002), which were already present at task onset (p < 0.001). Freezers also displayed an earlier weight-shift breakdown than controls when OFF-medication (p = 0.008). Medication improved mediolateral weight-shifting in freezers and non-freezers. Freezers decreased their freezing ratio in response to medication. CONCLUSION Hypokinetic weight-shifting proved a marked postural control deficit in freezers, while balance scores and turning speed were similar to non-freezers. Both weight-shift amplitudes and the freezing ratio were responsive to medication in freezers, suggesting axial motor vigor is levodopa-responsive. Future work needs to test whether weight-shifting and freezing severity can be further ameliorated through training.
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Affiliation(s)
- Bauke W Dijkstra
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Moran Gilat
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - L Eduardo Cofré Lizama
- School of Allied Health, Human Services and Sports, La Trobe University, Victoria, Australia
| | - Martina Mancini
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
| | - Bruno Bergmans
- Department of Neurology, AZ Sint-Jan Brugge-Oostende AV, Bruges, Belgium.,Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Sabine M P Verschueren
- Research Group for Musculoskeletal Rehabilitation, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Alice Nieuwboer
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
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31
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Abnormal center of mass feedback responses during balance: A potential biomarker of falls in Parkinson's disease. PLoS One 2021; 16:e0252119. [PMID: 34043678 PMCID: PMC8158870 DOI: 10.1371/journal.pone.0252119] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/10/2021] [Indexed: 02/01/2023] Open
Abstract
Although Parkinson disease (PD) causes profound balance impairments, we know very little about how PD impacts the sensorimotor networks we rely on for automatically maintaining balance control. In young healthy people and animals, muscles are activated in a precise temporal and spatial organization when the center of body mass (CoM) is unexpectedly moved that is largely automatic and determined by feedback of CoM motion. Here, we show that PD alters the sensitivity of the sensorimotor feedback transformation. Importantly, sensorimotor feedback transformations for balance in PD remain temporally precise, but become spatially diffuse by recruiting additional muscle activity in antagonist muscles during balance responses. The abnormal antagonist muscle activity remains precisely time-locked to sensorimotor feedback signals encoding undesirable motion of the body in space. Further, among people with PD, the sensitivity of abnormal antagonist muscle activity to CoM motion varies directly with the number of recent falls. Our work shows that in people with PD, sensorimotor feedback transformations for balance are intact but disinhibited in antagonist muscles, likely contributing to balance deficits and falls.
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32
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D'Cruz N, Vervoort G, Chalavi S, Dijkstra BW, Gilat M, Nieuwboer A. Thalamic morphology predicts the onset of freezing of gait in Parkinson's disease. NPJ Parkinsons Dis 2021; 7:20. [PMID: 33654103 PMCID: PMC7925565 DOI: 10.1038/s41531-021-00163-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 01/14/2021] [Indexed: 11/08/2022] Open
Abstract
The onset of freezing of gait (FOG) in Parkinson's disease (PD) is a critical milestone, marked by a higher risk of falls and reduced quality of life. FOG is associated with alterations in subcortical neural circuits, yet no study has assessed whether subcortical morphology can predict the onset of clinical FOG. In this prospective multimodal neuroimaging cohort study, we performed vertex-based analysis of grey matter morphology in fifty-seven individuals with PD at study entry and two years later. We also explored the behavioral correlates and resting-state functional connectivity related to these local volume differences. At study entry, we found that freezers (N = 12) and persons who developed FOG during the course of the study (converters) (N = 9) showed local inflations in bilateral thalamus in contrast to persons who did not (non-converters) (N = 36). Longitudinally, converters (N = 7) also showed local inflation in the left thalamus, as compared to non-converters (N = 36). A model including sex, daily levodopa equivalent dose, and local thalamic inflation predicted conversion with good accuracy (AUC: 0.87, sensitivity: 88.9%, specificity: 77.8%). Exploratory analyses showed that local thalamic inflations were associated with larger medial thalamic sub-nuclei volumes and better cognitive performance. Resting-state analyses further revealed that converters had stronger thalamo-cortical coupling with limbic and cognitive regions pre-conversion, with a marked reduction in coupling over the two years. Finally, validation using the PPMI cohort suggested FOG-specific non-linear evolution of thalamic local volume. These findings provide markers of, and deeper insights into conversion to FOG, which may foster earlier intervention and better mobility for persons with PD.
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Affiliation(s)
- Nicholas D'Cruz
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, B-3000, Leuven, Belgium.
| | - Griet Vervoort
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, B-3000, Leuven, Belgium
| | - Sima Chalavi
- KU Leuven, Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, B-3000, Leuven, Belgium
| | - Bauke W Dijkstra
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, B-3000, Leuven, Belgium
| | - Moran Gilat
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, B-3000, Leuven, Belgium
| | - Alice Nieuwboer
- KU Leuven, Department of Rehabilitation Sciences, Neurorehabilitation Research Group, B-3000, Leuven, Belgium
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33
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Freitas SMSF, de Freitas PB, Falaki A, Corson T, Lewis MM, Huang X, Latash ML. Synergic control of action in levodopa-naïve Parkinson's disease patients: II. Multi-muscle synergies stabilizing vertical posture. Exp Brain Res 2020; 238:2931-2945. [PMID: 33068173 PMCID: PMC7644647 DOI: 10.1007/s00221-020-05947-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 10/06/2020] [Indexed: 01/07/2023]
Abstract
Postural instability is a major disabling feature in Parkinson's disease (PD). We quantified the organization of leg and trunk muscles into synergies stabilizing the center of pressure (COP) coordinate within the uncontrolled manifold hypothesis in levodopa-naïve patients with PD and age-matched control subjects. The main hypothesis was that changes in the synergic control of posture are present early in the PD process even before levodopa exposure. Eleven levodopa-naïve patients with PD and 11 healthy controls performed whole-body cyclical voluntary sway tasks and a self-initiated load-release task during standing on a force plate. Surface electromyographic activity in 13 muscles on the right side of the body was analyzed to identify muscle groups with parallel scaling of activation levels (M-modes). Data were collected both before ("off-drug") and approximately 60 min after the first dose of 25/100 carbidopa/levodopa ("on-drug"). COP-stabilizing synergies were quantified for the load-release task. Levodopa-naïve patients with PD showed no COP-stabilizing synergy "off-drug", whereas controls showed posture-stabilizing multi-M-mode synergy. "On-drug", patients with PD demonstrated a significant increase in the synergy index. There were no significant drug effects on the M-mode composition, anticipatory postural adjustments, indices of motor equivalence, or indices of COP variability. The results suggest that levodopa-naïve patients with PD already show impaired posture-stabilizing multi-muscle synergies that may be used as promising behavioral biomarkers for emerging postural disorders in PD. Moreover, levodopa modified synergy metrics differently in these levodopa-naïve patients compared to a previous study of patients on chronic antiparkinsonian medications (Falaki et al. in J Electromyogr Kinesiol 33:20-26, 2017a), suggesting different neurocircuitry involvement.
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Affiliation(s)
- Sandra M S F Freitas
- Graduate Program in Physical Therapy, City University of São Paulo, São Paulo, SP, Brazil
- Department of Kinesiology, The Pennsylvania State University, Rec.Hall-267, University Park, PA, 16802, USA
- Department of Neurology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
| | - Paulo B de Freitas
- Department of Kinesiology, The Pennsylvania State University, Rec.Hall-267, University Park, PA, 16802, USA
- Department of Neurology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
- Interdisciplinary Graduate Program in Health Sciences, Cruzeiro do Sul University, São Paulo, SP, Brazil
| | - Ali Falaki
- Department of Physiology, University of Montreal, Montreal, QC, Canada
| | - Tyler Corson
- Department of Neurology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
| | - Mechelle M Lewis
- Department of Neurology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
- Department of Pharmacology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
| | - Xuemei Huang
- Department of Kinesiology, The Pennsylvania State University, Rec.Hall-267, University Park, PA, 16802, USA
- Department of Neurology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
- Department of Pharmacology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
- Department of Radiology, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
- Department of Neurosurgery, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, USA
| | - Mark L Latash
- Department of Kinesiology, The Pennsylvania State University, Rec.Hall-267, University Park, PA, 16802, USA.
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Jankovic J, Tan EK. Parkinson's disease: etiopathogenesis and treatment. J Neurol Neurosurg Psychiatry 2020; 91:795-808. [PMID: 32576618 DOI: 10.1136/jnnp-2019-322338] [Citation(s) in RCA: 472] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 04/15/2020] [Accepted: 04/20/2020] [Indexed: 12/13/2022]
Abstract
The concept of 'idiopathic' Parkinson's disease (PD) as a single entity has been challenged with the identification of several clinical subtypes, pathogenic genes and putative causative environmental agents. In addition to classic motor symptoms, non-motor manifestations (such as rapid eye movement sleep disorder, anosmia, constipation and depression) appear at prodromic/premotor stage and evolve, along with cognitive impairment and dysautonomia, as the disease progresses, often dominating the advanced stages of the disease. The key molecular pathogenic mechanisms include α-synuclein misfolding and aggregation, mitochondrial dysfunction, impairment of protein clearance (associated with deficient ubiquitin-proteasome and autophagy-lysosomal systems), neuroinflammation and oxidative stress. The involvement of dopaminergic as well as noradrenergic, glutamatergic, serotonergic and adenosine pathways provide insights into the rich and variable clinical phenomenology associated with PD and the possibility of alternative therapeutic approaches beyond traditional dopamine replacement therapies.One of the biggest challenges in the development of potential neuroprotective therapies has been the lack of reliable and sensitive biomarkers of progression. Immunotherapies such as the use of vaccination or monoclonal antibodies directed against aggregated, toxic α-synuclein.as well as anti-aggregation or protein clearance strategies are currently investigated in clinical trials. The application of glucagon-like peptide one receptor agonists, specific PD gene target agents (such as GBA or LRRK2 modifiers) and other potential disease modifying drugs provide cautious optimism that more effective therapies are on the horizon. Emerging therapies, such as new symptomatic drugs, innovative drug delivery systems and novel surgical interventions give hope to patients with PD about their future outcomes and prognosis.
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Affiliation(s)
- Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Eng King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
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35
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Ehgoetz Martens KA, Peterson DS, Almeida QJ, Lewis SJG, Hausdorff JM, Nieuwboer A. Behavioural manifestations and associated non-motor features of freezing of gait: A narrative review and theoretical framework. Neurosci Biobehav Rev 2020; 116:350-364. [PMID: 32603716 DOI: 10.1016/j.neubiorev.2020.06.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 12/30/2022]
Abstract
Over the past decade, non-motor related symptoms and provocative contexts have offered unique opportunities to gain insight into the potential mechanisms that may underpin freezing of gait (FOG) in Parkinson's disease (PD). While this large body of work has informed several theoretical models, to date, few are capable of explaining behavioural findings across multiple domains (i.e. cognitive, sensory-perceptual and affective) and in different behavorial contexts. As such, the exact nature of these interrelationships and their neural basis remain quite enigmatic. Here, the non-motor, behavioural evidence for cognitive, sensory-perceptual and affective contributors to FOG are reviewed and synthesized by systematically examining (i) studies that manipulated contextual environments that provoke freezing of gait, (ii) studies that uncovered factors that have been proposed to contribute to freezing, and (iii) studies that longitudinally tracked factors that predict the future development of freezing of gait. After consolidating the evidence, we offer a novel perspective for integrating these multi-faceted behavioural patterns and identify key challenges that warrant consideration in future work.
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Affiliation(s)
| | - Daniel S Peterson
- College of Health Solutions, Arizona State University, Arizona, USA; Phoenix Veterans Affairs Medical Centre, Arizona, USA
| | - Quincy J Almeida
- Movement Disorders Research & Rehabilitation Centre, Laurier University, Waterloo, ON, Canada
| | - Simon J G Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Jeffrey M Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; Dept of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Rush Alzheimer's Disease Center and Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Alice Nieuwboer
- Department of Rehabilitation Science, University of Leuven, Leuven, Belgium
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36
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Perez Parra S, McKay JL, Factor SA. Diphasic Worsening of Freezing of Gait in Parkinson's Disease. Mov Disord Clin Pract 2020; 7:325-328. [PMID: 32258233 DOI: 10.1002/mdc3.12918] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 02/07/2020] [Accepted: 02/15/2020] [Indexed: 01/17/2023] Open
Abstract
Background The relationship between freezing of gait (FOG) and levodopa response is complex. Some patients respond, some have no response and in some patients levodopa causes FOG. We present 2 cases demonstrating a diphasic worsening of FOG after levodopa dosing. Cases Two PD patients with FOG were examined during the practically defined off state, the transition from off to on (15 and 22 minutes postdose), and in the full on state (45 and 60 minutes postdose). FOG was measured using Movement Disorder Society-Unified Parkinson's Disease Rating Scale part III, item 11: freezing of gait. Both patients experienced worsening of FOG during the transition followed by improvement during the on state. Case 1 had serum levodopa levels measured. Videos are provided. Conclusions To our knowledge, this diphasic pattern of worsening of FOG has not been previously reported. The cause of this phenomenon is unknown but may relate to an inhibitory action of subthreshold levels of levodopa.
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Affiliation(s)
- Sahyli Perez Parra
- Jean & Paul Amos PD & Movement Disorders Program Department of Neurology Emory University Atlanta Georgia USA
| | - J Lucas McKay
- Wallace H. Coulter Department of Biomedical Engineering Georgia Tech and Emory University Atlanta Georgia USA
| | - Stewart A Factor
- Jean & Paul Amos PD & Movement Disorders Program Department of Neurology Emory University Atlanta Georgia USA
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