Journal of Movement Disorders

Original Articles

Hair loss, old and uninterested nonmotor symptom in Parkinson’s disease during dopaminergic therapy: Jungyeun Lee, Hwa Jung Ryu, Soon Young Hwang, Seong-Beom Koh; Received May 1, 2023 Accepted September 24, 2023 Published online September 26, 2023; DOI: https://doi.org/10.14802/jmd.23088 [Accepted]

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Abstract PDF: Background
Hair loss has been reported to occur during dopaminergic therapy in Parkinson’s disease. The mechanism by which dopaminergic therapy induces hair loss is not well understood. Dopamine receptors are present in the hair follicle where they regulate melanin production. However, the role of dopamine receptors in hair growth is still not well understood. Objective: This study aimed to evaluate the prevalence of hair loss and identify factors associated with complaint of hair loss in Parkinson’s disease.
Methods
A cross-sectional design was applied, involving 495 Parkinson’s disease patients to evaluate hair loss status. Patients completed a questionnaire and scalp/hair examinations were performed. Patients with underlying conditions that could affect hair loss and those prescribed medications known to increase the risk of hair loss were excluded. Finally, 291 patients (58.8%) were included for analysis.
Results
Among the total of 495 patients, 138 (27.9%) reported hair loss. Interestingly, more than half of the patients who complained of hair loss (79 out of 138) did not utilize treatments such as hair products, massage, diet modifications, or alopecia medication. Hair inspection by a single investigator revealed objective hair loss in 263 patients (53.1%). Analysis of factors associated with hair loss complaints showed that the intake of dopaminergic medication with a levodopa-equivalent daily dose >448 mg was associated with complaint of hair loss.
Conclusions
Dopaminergic medication is associated hair loss complaints in Parkinson’s disease patients.

Cervical proprioception in Parkinson's disease and its correlation with manual dexterity function: Özlem Menevşe, Büşra Kepenek-Varol, Murat Gültekin, Sevil Bilgin; J Mov Disord. 2023;16(3):295-306. Published online July 3, 2023; DOI: https://doi.org/10.14802/jmd.23039

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Abstract PDF: Objective
Cervical proprioception plays a crucial role in posture and movement control. This study aimed to determine the relationships of cervical proprioception, cervical muscle strength and endurance with manual dexterity and hand strength in individuals with idiopathic Parkinson’s disease (PD).
Methods
Twenty individuals with PD (mean age: 63.9 years) and 20 healthy individuals as a control group (mean age: 61.9 years) were recruited. Cervical joint position error (JPE), static endurance of neck muscles, activation of deep cervical flexor muscles (Craniocervical Flexion Test, CCFT), manual dexterity (Purdue Pegboard Test, PPT), cognitive and motor tasks of the PPT, finger tapping test (FTT), pinch strength, and grip strength were assessed.
Results
Cervical JPE was significantly higher in individuals with PD than in controls (p < 0.05). The strength and endurance of the cervical muscles were significantly decreased in individuals with PD (p < 0.05). Cervical JPE measurements were negatively correlated with PPT, cognitive and motor tasks of the PPT in individuals with PD (all p < 0.05). The endurance of cervical flexor muscles was negatively correlated with PPT and cognitive PPT scores in the PD group (p < 0.05). In addition, a significant positive correlation was found between cervical flexor endurance and hand strength in the PD group (p < 0.05).
Conclusion
Cervical proprioception and the strength and endurance of cervical muscles decrease in individuals with PD compared to healthy individuals. Impairment of cervical proprioception appears to be associated with poorer upper extremity performance. Detailed evaluation of the cervical region in PD may help determine the factors affecting upper extremity function.

Review Article

GBA1 Variants and Parkinson’s Disease: Paving the Way for Targeted Therapy: Young Eun Huh, Tatiana Usnich, Clemens R. Scherzer, Christine Klein, Sun Ju Chung; J Mov Disord. 2023;16(3):261-278. Published online June 12, 2023; DOI: https://doi.org/10.14802/jmd.23023

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Abstract PDF: Glucosylceramidase beta 1 (GBA1) variants have attracted enormous attention as the most promising and important genetic candidates for precision medicine in Parkinson’s disease (PD). A substantial correlation between GBA1 genotypes and PD phenotypes could inform the prediction of disease progression and promote the development of a preventive intervention for individuals at a higher risk of a worse disease prognosis. Moreover, the GBA1-regulated pathway provides new perspectives on the pathogenesis of PD, such as dysregulated sphingolipid metabolism, impaired protein quality control, and disrupted endoplasmic reticulum-Golgi trafficking. These perspectives have led to the development of novel disease-modifying therapies for PD targeting the GBA1-regulated pathway by repositioning treatment strategies for Gaucher’s disease. This review summarizes the current hypotheses on a mechanistic link between GBA1 variants and PD and possible therapeutic options for modulating GBA1-regulated pathways in PD patients.

Original Articles

Safinamide as an Adjunct to Levodopa in Asian and Caucasian Patients With Parkinson’s Disease and Motor Fluctuations: A Post Hoc Analysis of the SETTLE Study: Roongroj Bhidayasiri, Takayuki Ishida, Takanori Kamei, Ryan Edbert Husni, Ippei Suzuki, Shey Lin Wu, Jin Whan Cho; J Mov Disord. 2023;16(2):180-190. Published online April 26, 2023; DOI: https://doi.org/10.14802/jmd.22196

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Abstract PDF Supplementary Material: Objective
Safinamide is a selective, reversible monoamine oxidase B inhibitor with demonstrated efficacy and tolerability in placebo-controlled studies and is clinically useful for patients with motor fluctuations. This study evaluated the efficacy and safety of safinamide as a levodopa adjunct therapy in Asian patients with Parkinson’s disease.
Methods
Data from 173 Asian and 371 Caucasian patients from the international Phase III SETTLE study were included in this post hoc analysis. The safinamide dose was increased from 50 mg/day to 100 mg/day if no tolerability issues occurred at week 2. The primary outcome was the change from baseline to week 24 in daily ON-time without troublesome dyskinesia (i.e., ON-time). Key secondary outcomes included changes in Unified Parkinson’s Disease Rating Scale (UPDRS) scores.
Results
Safinamide significantly increased daily ON-time relative to placebo in both groups (least-squares mean: 0.83 hours, p = 0.011 [Asians]; 1.05 hours, p < 0.0001 [Caucasians]). Motor function relative to placebo (UPDRS Part III) improved significantly in Asians (-2.65 points, p = 0.012) but not Caucasians (-1.44 points, p = 0.0576). Safinamide did not worsen Dyskinesia Rating Scale scores in either subgroup, regardless of the presence or absence of dyskinesia at baseline. Dyskinesia was largely mild for Asians and moderate for Caucasians. None of the Asian patients experienced adverse events leading to treatment discontinuation.
Conclusion
Safinamide as a levodopa adjunct is well tolerated and effective in reducing motor fluctuations in both Asian and Caucasian patients. Further studies to investigate the real-world effectiveness and safety of safinamide in Asia are warranted.

The Effect of Blood Lipids, Type 2 Diabetes, and Body Mass Index on Parkinson’s Disease: A Korean Mendelian Randomization Study: Kye Won Park, Yun Su Hwang, Seung Hyun Lee, Sungyang Jo, Sun Ju Chung; J Mov Disord. 2023;16(1):79-85. Published online January 12, 2023; DOI: https://doi.org/10.14802/jmd.22175

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Abstract PDF Supplementary Material

Objective
Associations between various metabolic conditions and Parkinson’s disease (PD) have been previously identified in epidemiological studies. We aimed to investigate the causal effect of lipid levels, type 2 diabetes mellitus (T2DM), and body mass index (BMI) on PD in a Korean population via Mendelian randomization (MR).
Methods
Two-sample MR analyses were performed with inverse-variance weighted (IVW), weighted median, and MR-Egger regression approaches. We identified genetic variants associated with lipid concentrations, T2DM, and BMI in publicly available summary statistics, which were either collected from genome-wide association studies (GWASs) or from meta-analyses of GWAS that targeted only Korean individuals or East Asian individuals, including Korean individuals. The outcome dataset was a GWAS on PD performed in a Korean population.
Results
From previous GWASs and meta-analyses, we selected single nucleotide polymorphisms as the instrumental variables. Variants associated with serum levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides, as well as with T2DM and BMI, were selected (n = 11, 19, 17, 89, and 9, respectively). There were no statistically significant causal associations observed between the five exposures and PD using either the IVW, weighted median, or MR-Egger methods (p-values of the IVW method: 0.332, 0.610, 0.634, 0.275, and 0.860, respectively).
Conclusion
This study does not support a clinically relevant causal effect of lipid levels, T2DM, and BMI on PD risk in a Korean population.

Citations

Citations to this article as recorded by

Unraveling the link: exploring the causal relationship between diabetes, multiple sclerosis, migraine, and Alzheimer’s disease through Mendelian randomization
Hua Xue, Li Zeng, Shuangjuan Liu
Frontiers in Neuroscience.2023;[Epub] CrossRef

Review Article

Current Status and Future Perspectives on Stem Cell-Based Therapies for Parkinson’s Disease: Young Cha, Tae-Yoon Park, Pierre Leblanc, Kwang-Soo Kim; J Mov Disord. 2023;16(1):22-41. Published online January 12, 2023; DOI: https://doi.org/10.14802/jmd.22141

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Abstract PDF

Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s disease, affecting 1%–2% of the population over the age of 65. As the population ages, it is anticipated that the burden on society will significantly escalate. Although symptom reduction by currently available pharmacological and/or surgical treatments improves the quality of life of many PD patients, there are no treatments that can slow down, halt, or reverse disease progression. Because the loss of a specific cell type, midbrain dopamine neurons in the substantia nigra, is the main cause of motor dysfunction in PD, it is considered a promising target for cell replacement therapy. Indeed, numerous preclinical and clinical studies using fetal cell transplantation have provided proof of concept that cell replacement therapy may be a viable therapeutic approach for PD. However, the use of human fetal cells remains fraught with controversy due to fundamental ethical, practical, and clinical limitations. Groundbreaking work on human pluripotent stem cells (hPSCs), including human embryonic stem cells and human induced pluripotent stem cells, coupled with extensive basic research in the stem cell field offers promising potential for hPSC-based cell replacement to become a realistic treatment regimen for PD once several major issues can be successfully addressed. In this review, we will discuss the prospects and challenges of hPSC-based cell therapy for PD.

Citations

Citations to this article as recorded by

Potential for Therapeutic-Loaded Exosomes to Ameliorate the Pathogenic Effects of α-Synuclein in Parkinson’s Disease
David J. Rademacher
Biomedicines.2023; 11(4): 1187. CrossRef

Original Article

Association of Depression With Early Occurrence of Postural Instability in Parkinson’s Disease: Yun Su Hwang, Sungyang Jo, Kye Won Park, Seung Hyun Lee, Sangjin Lee, Sun Ju Chung; J Mov Disord. 2023;16(1):68-78. Published online December 20, 2022; DOI: https://doi.org/10.14802/jmd.22091

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Abstract PDF Supplementary Material: Objective
Depression in Parkinson’s disease (PD) affects the quality of life of patients. Postural instability and gait disturbance are associated with the severity and prognosis of PD. We investigated the association of depression with axial involvement in early-stage PD patients.
Methods
This study involved 95 PD patients unexposed to antiparkinsonian drugs. After a baseline assessment for depression, the subjects were divided into a depressed PD group and a nondepressed PD group. Analyses were conducted to identify an association of depression at baseline with the following outcome variables: the progression to Hoehn and Yahr scale (H-Y) stage 3, the occurrence of freezing of gait (FOG), levodopa-induced dyskinesia, and wearing-off. The follow-up period was 53.40 ± 16.79 months from baseline.
Results
Kaplan–Meier survival curves for H-Y stage 3 and FOG showed more prominent progression to H-Y stage 3 and occurrences of FOG in the depressed PD group than in the nondepressed PD group (log-rank p = 0.025 and 0.003, respectively). Depression in drug-naïve, early-stage PD patients showed a significant association with the progression to H-Y stage 3 (hazard ratio = 2.55; 95% confidence interval = 1.32–4.93; p = 0.005), as analyzed by Cox regression analyses. In contrast, the occurrence of levodopa-induced dyskinesia and wearing-off did not differ between the two groups (log-rank p = 0.903 and 0.351, respectively).
Conclusion
Depression in drug-naïve, early-stage PD patients is associated with an earlier occurrence of postural instability. This suggests shared nondopaminergic pathogenic mechanisms and potentially enables the prediction of early development of postural instability.

Review Article

Subjective Cognitive Complaints in Cognitively Normal Patients With Parkinson’s Disease: A Systematic Review: Jin Yong Hong, Phil Hyu Lee; J Mov Disord. 2023;16(1):1-12. Published online November 10, 2022; DOI: https://doi.org/10.14802/jmd.22059

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Abstract PDF: Subjective cognitive complaints (SCCs) refer to self-perceived cognitive decline and are related to objective cognitive decline. SCCs in cognitively normal individuals are considered a preclinical sign of subsequent cognitive impairment due to Alzheimer’s disease, and SCCs in cognitively normal patients with Parkinson’s disease (PD) are also gaining attention. The aim of this review was to provide an overview of the current research on SCCs in cognitively normal patients with PD. A systematic search found a lack of consistency in the methodologies used to define and measure SCCs. Although the association between SCCs and objective cognitive performance in cognitively normal patients with PD is controversial, SCCs appear to be predictive of subsequent cognitive decline. These findings support the clinical value of SCCs in cognitively normal status in PD; however, further convincing evidence from biomarker studies is needed to provide a pathophysiological basis for these findings. Additionally, a consensus on the definition and assessment of SCCs is needed for further investigations.

Original Articles

Potential Link Between Cognition and Motor Reserve in Patients With Parkinson’s Disease: Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Mijin Yun, Phil Hyu Lee, Yong Jeong, Young H. Sohn; J Mov Disord. 2022;15(3):249-257. Published online September 7, 2022; DOI: https://doi.org/10.14802/jmd.22063

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Abstract PDF Supplementary Material

Objective
To investigate whether there is a link between cognitive function and motor reserve (i.e., individual capacity to cope with nigrostriatal dopamine depletion) in patients with newly diagnosed Parkinson’s disease (PD).
Methods
A total of 163 patients with drug-naïve PD who underwent ¹⁸F-FP-CIT PET, brain MRI, and a detailed neuropsychological test were enrolled. We estimated individual motor reserve based on initial motor deficits and striatal dopamine depletion using a residual model. We performed correlation analyses between motor reserve estimates and cognitive composite scores. Diffusion connectometry analysis was performed to map the white matter fiber tracts, of which fractional anisotropy (FA) values were well correlated with motor reserve estimates. Additionally, Cox regression analysis was used to assess the effect of initial motor reserve on the risk of dementia conversion.
Results
The motor reserve estimate was positively correlated with the composite score of the verbal memory function domain (γ = 0.246) and with the years of education (γ = 0.251). Connectometry analysis showed that FA values in the left fornix were positively correlated with the motor reserve estimate, while no fiber tracts were negatively correlated with the motor reserve estimate. Cox regression analysis demonstrated that higher motor reserve estimates tended to be associated with a lower risk of dementia conversion (hazard ratio, 0.781; 95% confidence interval, 0.576–1.058).
Conclusion
The present study demonstrated that the motor reserve estimate was well correlated with verbal memory function and with white matter integrity in the left fornix, suggesting a possible link between cognition and motor reserve in patients with PD.

Citations

Citations to this article as recorded by

Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson’s Disease
Jinyoung Youn, Ji Hye Won, Mansu Kim, Junmo Kwon, Seung Hwan Moon, Minkyeong Kim, Jong Hyun Ahn, Jun Kyu Mun, Hyunjin Park, Jin Whan Cho
Journal of Parkinson's Disease.2023; 13(1): 39. CrossRef

Association Between Gait and Dysautonomia in Patients With De Novo Parkinson’s Disease: Forward Gait Versus Backward Gait: Seon-Min Lee, Mina Lee, Eun Ji Lee, Rae On Kim, Yongduk Kim, Kyum-Yil Kwon; J Mov Disord. 2023;16(1):59-67. Published online September 7, 2022; DOI: https://doi.org/10.14802/jmd.22045

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Abstract PDF

Objective
Studies on gait and autonomic dysfunction have been insufficient so far, particularly de novo Parkinson’s disease (PD). The aim of this study was to identify the association between gait dynamics and autonomic dysfunction in patients with de novo PD.
Methods
A total 38 patients with de novo PD were retrospectively included in this study. Details of patients’ dysautonomia were assessed using the Scales for Outcomes in Parkinson’s Disease-Autonomic Dysfunction (SCOPA-AUT). For assessment of gait, a computerized gait analysis was performed using the GAITRite system for forward gait and backward gait. High SCOPA-AUT score (PD-HSAS) group and low SCOPA-AUT score (PD-LSAS) group were identified according to their SCOPA-AUT scores.
Results
Nineteen (50%) patients with high SCOPA-AUT scores above median value (12.5) were assigned into the PD-HSAS group and others were assigned to the PD-LSAS group. Compared with the PD-LSAS group, the PD-HSAS group exhibited slower gait, shorter stride, decreased cadence, increased double support phase, decreased swing phase, and increased variability in swing time. Total SCOPA-AUT score showed significantly positive correlations with gait variability and instability but a negative correlation with gait hypokinesia. In subdomain analysis, urinary dysautonomia was highly associated with impairment of gait dynamics. All significant results were found to be more remarkable in backward gait than in forward gait.
Conclusion
Our findings suggest that alteration in gait dynamics, especially backward gait, is highly associated with autonomic dysfunction in patients with de novo PD.

Citations

Citations to this article as recorded by

Determinants of Dual-task Gait Speed in Older Adults with and without Parkinson’s Disease
André Ivaniski-Mello, Vivian Torres Müller, Lucas de Liz Alves, Marcela Zimmermann Casal, Aline Nogueira Haas, Luca Correale, Ana Carolina Kanitz, Valéria Feijó Martins, Andréa Kruger Gonçalves, Flávia Gomes Martinez, Leonardo Alexandre Peyré-Tartaruga
International Journal of Sports Medicine.2023; 44(10): 744. CrossRef

Semiautomated Algorithm for the Diagnosis of Multiple System Atrophy With Predominant Parkinsonism: Woong-Woo Lee, Han-Joon Kim, Hong Ji Lee, Han Byul Kim, Kwang Suk Park, Chul-Ho Sohn, Beomseok Jeon; J Mov Disord. 2022;15(3):232-240. Published online July 26, 2022; DOI: https://doi.org/10.14802/jmd.21178

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Abstract PDF Supplementary Material: Objective
Putaminal iron deposition is an important feature that helps differentiate multiple system atrophy with predominant parkinsonism (MSA-p) from Parkinson’s disease (PD). Most previous studies used visual inspection or quantitative methods with manual manipulation to perform this differentiation. We investigated the value of a new semiautomated diagnostic algorithm using 3T-MR susceptibility-weighted imaging for MSA-p.
Methods
This study included 26 MSA-p, 68 PD, and 41 normal control (NC) subjects. The algorithm was developed in 2 steps: 1) determine the image containing the remarkable putaminal margin and 2) calculate the phase-shift values, which reflect the iron concentration. The next step was to identify the best differentiating conditions among several combinations. The highest phaseshift value of each subject was used to assess the most effective diagnostic set.
Results
The raw phase-shift values were present along the lateral margin of the putamen in each group. It demonstrates an anterior- to-posterior gradient that was identified most frequently in MSA-p. The average of anterior 5 phase shift values were used for normalization. The highest area under the receiver operating characteristic curve (0.874, 80.8% sensitivity, and 86.7% specificity) of MSA-p versus PD was obtained under the combination of 3 or 4 vertical pixels and one dominant side when the normalization methods were applied. In the subanalysis for the MSA-p patients with a longer disease duration, the performance of the algorithm improved.
Conclusion
This algorithm detected the putaminal lateral margin well, provided insight into the iron distribution of the putaminal rim of MSA-p, and demonstrated good performance in differentiating MSA-p from PD.

Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease: Junbeom Jeon, Kiyong Kim, Kyeongmin Baek, Seok Jong Chung, Jeehee Yoon, Yun Joong Kim; J Mov Disord. 2022;15(2):132-139. Published online May 26, 2022; DOI: https://doi.org/10.14802/jmd.22012

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Abstract PDF Supplementary Material: Objective
The Montreal Cognitive Assessment (MoCA) is recommended for assessing general cognition in Parkinson’s disease (PD). Several cutoffs of MoCA scores for diagnosing PD with cognitive impairment (PD-CI) have been proposed, with varying sensitivity and specificity. This study investigated the utility of machine learning algorithms using MoCA cognitive domain scores for improving diagnostic performance for PD-CI.
Methods
In total, 2,069 MoCA results were obtained from 397 patients with PD enrolled in the Parkinson’s Progression Markers Initiative database with a diagnosis of cognitive status based on comprehensive neuropsychological assessments. Using the same number of MoCA results randomly sampled from patients with PD with normal cognition or PD-CI, discriminant validity was compared between machine learning (logistic regression, support vector machine, or random forest) with domain scores and a cutoff method.
Results
Based on cognitive status classification using a dataset that permitted sampling of MoCA results from the same individual (n = 221 per group), no difference was observed in accuracy between the cutoff value method (0.74 ± 0.03) and machine learning (0.78 ± 0.03). Using a more stringent dataset that excluded MoCA results (n = 101 per group) from the same patients, the accuracy of the cutoff method (0.66 ± 0.05), but not that of machine learning (0.74 ± 0.07), was significantly reduced. Inclusion of cognitive complaints as an additional variable improved the accuracy of classification using the machine learning method (0.87–0.89).
Conclusion
Machine learning analysis using MoCA domain scores is a valid method for screening cognitive impairment in PD.

Brief communications

Validation of the Thai Version of the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale: Priya Jagota, Prachaya Srivanitchapoom, Sitthi Petchrutchatachart, Surat Singmaneesakulchai, Apichart Pisarnpong, Praween Lolekha, Suwanna Setthawatcharawanich, Parnsiri Chairangsaris, Natlada Limotai, Pawut Mekawichai, Pattamon Panyakaew, Onanong Phokaewvarangkul, Jirada Sringean, Yuvadee Pitakpatapee, Nancy LaPelle, Pablo Martinez-Martin, Xuehan Ren, Sheng Luo, Glenn T. Stebbins, Christopher G. Goetz, Roongroj Bhidayasiri; J Mov Disord. 2022;15(2):151-155. Published online March 16, 2022; DOI: https://doi.org/10.14802/jmd.21104

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Abstract PDF Supplementary Material

Objective
This study aims to validate the Thai translation of the Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS).
Methods
The English version was translated into Thai and then back-translated into English. The translated version underwent 2 rounds of cognitive pretesting to assess the ease of comprehension, ease of use and comfort with the scale. Then, it underwent large clinimetric testing.
Results
The Thai version was validated in 354 PD patients. The comparative fit index (CFI) for all four parts of the Thai version of the MDS-UPDRS was 0.93 or greater. Exploratory factor analysis identified isolated item differences in factor structure between the Thai and English versions.
Conclusion
The overall factor structure of the Thai version was consistent with that of the English version based on the high CFIs (all CFI ≥ 0.90). Hence, it can be designated the official Thai version of the MDS-UPDRS.

Citations

Citations to this article as recorded by

Global Epidemiology of Movement Disorders: Rare or Underdiagnosed?
Sarah A. O'Shea, Ludy C. Shih
Seminars in Neurology.2023; 43(01): 004. CrossRef
Vibratory and plantar pressure stimulation: Steps to improve freezing of gait in Parkinson's disease
Warongporn Phuenpathom, Pattamon Panyakaew, Peerapon Vateekul, Decho Surangsrirat, Akarin Hiransuthikul, Roongroj Bhidayasiri
Parkinsonism & Related Disorders.2022; 105: 43. CrossRef

Automatic Measurement of Postural Abnormalities With a Pose Estimation Algorithm in Parkinson’s Disease: Jung Hwan Shin, Kyung Ah Woo, Chan Young Lee, Seung Ho Jeon, Han-Joon Kim, Beomseok Jeon; J Mov Disord. 2022;15(2):140-145. Published online January 19, 2022; DOI: https://doi.org/10.14802/jmd.21129

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Abstract PDF Supplementary Material

Objective
This study aims to develop an automated and objective tool to evaluate postural abnormalities in Parkinson’s disease (PD) patients.
Methods
We applied a deep learning-based pose-estimation algorithm to lateral photos of prospectively enrolled PD patients (n = 28). We automatically measured the anterior flexion angle (AFA) and dropped head angle (DHA), which were validated with conventional manual labeling methods.
Results
The automatically measured DHA and AFA were in excellent agreement with manual labeling methods (intraclass correlation coefficient > 0.95) with mean bias equal to or less than 3 degrees.
Conclusion
The deep learning-based pose-estimation algorithm objectively measured postural abnormalities in PD patients.

Citations

Citations to this article as recorded by

Three‐Dimensional Mesh Recovery from Common 2‐Dimensional Pictures for Automated Assessment of Body Posture in Camptocormia
Robin Wolke, Olga Gavriliuc, Oliver Granert, Günther Deuschl, Nils G. Margraf
Movement Disorders Clinical Practice.2023; 10(3): 472. CrossRef
Assessment of Axial Postural Abnormalities in Parkinsonism: Automatic Picture Analysis Software
Carlo Alberto Artusi, Christian Geroin, Gabriele Imbalzano, Serena Camozzi, Stefano Aldegheri, Leonardo Lopiano, Michele Tinazzi, Nicola Bombieri
Movement Disorders Clinical Practice.2023; 10(4): 636. CrossRef
Camera- and Viewpoint-Agnostic Evaluation of Axial Postural Abnormalities in People with Parkinson’s Disease through Augmented Human Pose Estimation
Stefano Aldegheri, Carlo Alberto Artusi, Serena Camozzi, Roberto Di Marco, Christian Geroin, Gabriele Imbalzano, Leonardo Lopiano, Michele Tinazzi, Nicola Bombieri
Sensors.2023; 23(6): 3193. CrossRef

Current Status of Telemedicine for Parkinson’s Disease in Japan: A Single-Center Cross-Sectional Questionnaire Survey: Mayuko Ogawa, Genko Oyama, Satoko Sekimoto, Taku Hatano, Nobutaka Hattori; J Mov Disord. 2022;15(1):58-61. Published online December 24, 2021; DOI: https://doi.org/10.14802/jmd.21096

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Abstract PDF Supplementary Material

Objective
Using telemedicine is a way to improve the accessibility of specialists for patients with Parkinson’s disease (PD); however, it is not widely used in Japan. We investigated the efficacy of telemedicine in PD by using a single-center cross-sectional questionnaire survey.
Methods
We sent a questionnaire to patients who agreed to participate from among 52 patients with PD who had used telemedicine services at Juntendo University Hospital from October 2017 to November 2018. Caregivers were asked to respond to one question separately.
Results
A total of 38 patients responded to the questionnaire. Most patients were satisfied with the telemedicine consultation (7.8 ± 1.9), reporting that it was effective in reducing their travel burden. Twenty-one patients attended a telemedicine consultation with their caregivers, and their satisfaction was high (8.4 ± 1.8).
Conclusion
In a specific cohort in Japan, patients with PD and their caregivers were mostly satisfied with the telemedicine service.

Citations

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Effects of LSVT-BIG via telerehabilitation on non-motor and motor symptoms and quality of life in Parkinson’s disease
Yasemin Ekmekyapar Fırat, Türkan Turgay, Selver Seval Soğan, Pınar Günel Karadeniz
Acta Neurologica Belgica.2023; 123(1): 207. CrossRef
A Narrative Review of Current Status and Future Perspective of Telemedicine for Parkinson's Disease, Dementia, and Intractable Neurological Diseases in Japan
GENKO OYAMA, MAYUKO OGAWA, SATOKO SEKIMOTO, TAKU HATANO, NOBUTAKA HATTORI
Juntendo Medical Journal.2023; 69(1): 14. CrossRef
A multicenter, prospective, observational study to assess the satisfaction of an integrated digital platform of online medical care and remote patient monitoring in Parkinson's disease
Makoto Shiraishi, Tsutomu Kamo, Ryuya Kumazawa, Naoshi Sasaki, Kenji Isahaya, Hisanao Akiyama, Yoshihiko Furusawa, Reiko Onodera, Jovelle Fernandez, Masaru Otsuka, Yoshihisa Yamano
Neurology and Clinical Neuroscience.2023; 11(3): 152. CrossRef
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, Rashmi K. Ambasta, Pravir Kumar
Ageing Research Reviews.2023; 90: 102013. CrossRef
Feasibility study of Internet video-based speech-language activity for outpatients with primary progressive aphasia
Shinji Higashi, Yuko Koshibe, Takehiro Miyazaki, Ryohei Watanabe, Hanako Nakanome, Takeshi Inoue, Takashi Asada, Tetsuaki Arai, Kenjiro Ono
PLOS ONE.2023; 18(7): e0288468. CrossRef
Feasibility and efficacy of video-call speech therapy in patients with Parkinson's disease: A preliminary study
Hee Jin Chang, Jiae Kim, Jae Young Joo, Han-Joon Kim
Parkinsonism & Related Disorders.2023; 114: 105772. CrossRef
Perspectives on Telemedicine
彦光大山, 信孝服部
Iryou kikigaku (The Japanese journal of medical instrumentation).2022; 92(3): 331. CrossRef

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