Journal of Movement Disorders

Original Article

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.

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.

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

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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.

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;[Epub] 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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3 Citations

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;[Epub] 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

Citations to this article as recorded by

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
Perspectives on Telemedicine
彦光大山, 信孝服部
Iryou kikigaku (The Japanese journal of medical instrumentation).2022; 92(3): 331. CrossRef

Original Article

Fecal Calprotectin in Parkinson’s Disease and Multiple System Atrophy: Jia Wei Hor, Shen-Yang Lim, Eng Soon Khor, Kah Kian Chong, Sze Looi Song, Norlinah Mohamed Ibrahim, Cindy Shuan Ju Teh, Chun Wie Chong, Ida Normiha Hilmi, Ai Huey Tan; J Mov Disord. 2022;15(2):106-114. Published online December 24, 2021; DOI: https://doi.org/10.14802/jmd.21085

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Abstract PDF Supplementary Material

Objective
Converging evidence suggests that intestinal inflammation is involved in the pathogenesis of neurodegenerative diseases. Previous studies on fecal calprotectin in Parkinson’s disease (PD) were limited by small sample sizes, and literature regarding intestinal inflammation in multiple system atrophy (MSA) is very scarce. We investigated the levels of fecal calprotectin, a marker of intestinal inflammation, in PD and MSA.
Methods
We recruited 169 subjects (71 PD, 38 MSA, and 60 age-similar nonneurological controls). Clinico-demographic data were collected. PD and MSA were subtyped and the severity assessed using the MDS-UPDRS and UMSARS, respectively. Fecal calprotectin and blood immune markers were analyzed.
Results
Compared to controls (median: 35.7 [IQR: 114.2] μg/g), fecal calprotectin was significantly elevated in PD (median: 95.6 [IQR: 162.1] μg/g, p = 0.003) and even higher in MSA (median: 129.5 [IQR: 373.8] μg/g, p = 0.002). A significant interaction effect with age was observed; between-group differences were significant only in older subjects (i.e., ≥ 61 years) and became more apparent with increasing age. A total of 28.9% of MSA and 18.3% of PD patients had highly abnormal fecal calprotectin levels (≥ 250 μg/g); however, this difference was only significant for MSA compared to controls. Fecal calprotectin correlated moderately with selected blood immune markers in PD, but not with clinical features of PD or MSA.
Conclusions
Elevated fecal calprotectin suggests a role for intestinal inflammation in PD and MSA. A more complete understanding of gut immune alterations could open up new avenues of research and treatment for these debilitating diseases.

Citations

Citations to this article as recorded by

The microbiome–gut–brain axis in Parkinson disease — from basic research to the clinic
Ai Huey Tan, Shen Yang Lim, Anthony E. Lang
Nature Reviews Neurology.2022; 18(8): 476. CrossRef
The Gut Microbiome–Brain Crosstalk in Neurodegenerative Diseases
Laura Ghezzi, Claudia Cantoni, Emanuela Rotondo, Daniela Galimberti
Biomedicines.2022; 10(7): 1486. CrossRef
Gastrointestinal Involvement in Extra-Digestive Disease: Which Is the Role of Fecal Calprotectin?
Angela Saviano, Marcello Candelli, Christian Zanza, Andrea Piccioni, Alessio Migneco, Veronica Ojetti
Medicina.2022; 58(10): 1384. CrossRef

Review Article

The Supplementary Motor Complex in Parkinson’s Disease: Shervin Rahimpour, Shashank Rajkumar, Mark Hallett; J Mov Disord. 2022;15(1):21-32. Published online November 25, 2021; DOI: https://doi.org/10.14802/jmd.21075

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Abstract PDF

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by both motor and nonmotor symptoms. Although the basal ganglia is traditionally the primary brain region implicated in this disease process, this limited view ignores the roles of the cortex and cerebellum that are networked with the basal ganglia to support motor and cognitive functions. In particular, recent research has highlighted dysfunction in the supplementary motor complex (SMC) in patients with PD. Using the PubMed and Google Scholar search engines, we identified research articles using keywords pertaining to the involvement of the SMC in action sequencing impairments, temporal processing disturbances, and gait impairment in patients with PD. A review of abstracts and full-text articles was used to identify relevant articles. In this review of 63 articles, we focus on the role of the SMC in PD, highlighting anatomical and functional data to create new perspectives in understanding clinical symptoms and, potentially, new therapeutic targets. The SMC has a nuanced role in the pathophysiology of PD, with both hypo- and hyperactivation associated with various symptoms. Further studies using more standardized patient populations and functional tasks are needed to more clearly elucidate the role of this region in the pathophysiology and treatment of PD.

Citations

Citations to this article as recorded by

Sensorimotor network connectivity correlates with motor improvement after repetitive transcranial magnetic stimulation in patients with Parkinson's disease
Shumei Chi, Xinrui Wen, Yang Yu, Guanjun Wang, Jie Zhang, Chuang Xue, Xiaoying Zhang, Zheng Wang, Meiduo Gesang, Jiefang Chen, Sha Wu, Man Jin, Jian Liu, Benyan Luo
Parkinsonism & Related Disorders.2023; 106: 105218. CrossRef
A new model for freedom of movement using connectomic analysis
Diego Alonzo Rodríguez-Méndez, Daniel San-Juan, Mark Hallett, Chris G. Antonopoulos, Erick López-Reynoso, Ricardo Lara-Ramírez
PeerJ.2022; 10: e13602. CrossRef
Cortical and subcortical morphological alterations in motor subtypes of Parkinson’s disease
Jianyu Li, Yuanchao Zhang, Zitong Huang, Yihan Jiang, Zhanbing Ren, Daihong Liu, Jiuquan Zhang, Roberta La Piana, Yifan Chen
npj Parkinson's Disease.2022;[Epub] CrossRef

Original Articles

Constipation is Associated With Mild Cognitive Impairment in Patients With de novo Parkinson’s Disease: Sung Hoon Kang, Jungyeun Lee, Seong-Beom Koh; J Mov Disord. 2022;15(1):38-42. Published online November 17, 2021; DOI: https://doi.org/10.14802/jmd.21074

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Abstract PDF

Objective
The association between gastrointestinal (GI) symptoms and cognitive profile in patients with Parkinson’s disease (PD) at diagnosis remains unclear, although GI symptoms and cognitive impairment are highly prevalent in patients with PD. We investigated the relationship between constipation and cognitive status. We also aimed to identify the correlation between constipation and each neuropsychological dysfunction.
Methods
A total of 427 patients with de novo Parkinson’s disease with normal cognition (PD-NC, n = 170) and Parkinson’s disease with mild cognitive impairment (PD-MCI, n = 257) at Korea University Guro Hospital in Seoul, Korea were included. All patients underwent comprehensive neuropsychological tests and completed the Non-Motor Symptoms Scale (NMSS). The frequency and severity of constipation were assessed using the NMSS GI symptoms scale, we used logistic regression analysis and partial correlation analysis to determine the associations between constipation score, MCI, and each neuropsychological dysfunction.
Results
Frequent and severe constipation was associated with MCI in patients with PD at diagnosis regardless of disease severity. Specifically, constipation was related to poor performance in frontal-executive and visuospatial functions after controlling for age and sex.
Conclusion
Our findings may provide an understanding of constipation as a marker associated with cognitive impairment in individuals with PD. Therefore, the evaluation of cognitive function is warranted in PD patients with constipation, while further studies are necessary to investigate the detailed mechanism of our results.

Citations

Citations to this article as recorded by

Interactions between gut microbiota and Parkinson's disease: The role of microbiota-derived amino acid metabolism
Wang Wang, Shujun Jiang, Chengcheng Xu, Lili Tang, Yan Liang, Yang Zhao, Guoxue Zhu
Frontiers in Aging Neuroscience.2022;[Epub] CrossRef

Association of AXIN1 With Parkinson’s Disease in a Taiwanese Population: Hwa-Shin Fang, Chih-Ying Chao, Chun-Chieh Wang, Wen-Lang Fan, Po-Jung Huang, Hon-Chung Fung, Yih-Ru Wu; J Mov Disord. 2022;15(1):33-37. Published online November 17, 2021; DOI: https://doi.org/10.14802/jmd.21073

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Abstract PDF Supplementary Material: Objective
A meta-analysis of locus-based genome-wide association studies recently identified a relationship between AXIN1 and Parkinson’s disease (PD). Few studies of Asian populations, however, have reported such a genetic association. The influences of rs13337493, rs758033, and rs2361988, three PD-associated genetic variants of AXIN1, were investigated in the present study because AXIN1 is related to Wnt/β-catenin signaling.
Methods
A total of 2,418 individuals were enrolled in our Taiwanese cohort for analysis of the genotypic and allelic frequency. Polymerase chain reaction–restriction fragment length polymorphism analysis was employed for rs13337493 genotyping, and the Agena MassARRAY platform (Agena Bioscience, San Diego, CA, USA) was used for rs758033 and rs2361988 genotyping in 672 patients with PD and 392 controls. Taiwan Biobank data of another 1,354 healthy controls were subjected to whole-genome sequencing performed using Illumina platforms at approximately 30× average depth.
Results
Our results revealed that rs758033 {odds ratios [OR] (95% confidence interval [CI]) = 0.267 [0.064, 0.795], p = 0.014} was associated with the risk of PD, and there was a trend toward a protective effect of rs2361988 (OR [95% CI] = 0.296 [0.071, 0.884], p = 0.026) under the recessive model. The TT genotype of rs758033 (OR [95% CI] = 0.271 [0.065, 0.805], p = 0.015) and the CC genotype of rs2361988 (OR [95% CI] = 0.305 [0.073, 0.913], p = 0.031) were less common in the PD group than in the non-PD group.
Conclusion
Our findings indicate that the rs758033 and rs2361988 polymorphisms of AXIN1 may affect the risk of PD in the Taiwanese population.

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