Journal of Movement Disorders

Original Articles

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.

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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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.

Citations

Citations to this article as recorded by

Comparing Montreal Cognitive Assessment Performance in Parkinson’s Disease Patients: Age- and Education-Adjusted Cutoffs vs. Machine Learning
Kyeongmin Baek, Young Min Kim, Han Kyu Na, Junki Lee, Dong Ho Shin, Seok-Jae Heo, Seok Jong Chung, Kiyong Kim, Phil Hyu Lee, Young H. Sohn, Jeehee Yoon, Yun Joong Kim
Journal of Movement Disorders.2024; 17(2): 171. CrossRef
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review
Callum Altham, Huaizhong Zhang, Ella Pereira, Farzin Hajebrahimi
PLOS ONE.2024; 19(5): e0303644. CrossRef

Factors Associated with Medication Beliefs in Patients with Parkinson’s Disease: A Cross-Sectional Study: Sung Reul Kim, Ji Young Kim, Hye Young Kim, Hui Young So, Sun Ju Chung; J Mov Disord. 2021;14(2):133-143. Published online May 3, 2021; DOI: https://doi.org/10.14802/jmd.20147

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Abstract PDF Supplementary Material

Objective
Medication beliefs are a significant determinant of medication adherence in chronic illness. This study aimed to identify demographic, clinical, and medication-related factors associated with medication beliefs in patients with Parkinson’s disease (PD).
Methods
We used a descriptive cross-sectional design with a convenience sample of 173 PD patients who had been taking antiparkinson drugs for more than one year.
Results
The subjects who believed PD medication was more necessary had more severe illness, younger age of onset, longer illness duration, and longer duration of levodopa therapy. They had higher levels of non-motor symptoms and depression, number of medication uses, number of drugs, and levodopa equivalent dose, and they reported fluctuation of motor symptoms and dyskinesia. The subjects who used catechol-O-methyltransferase (COMT) inhibitors, dopamine agonists, amantadine, and monoamine oxidase-B (MAO-B) inhibitors had significantly higher necessity scores than those who did not use them. The subjects who had higher concerns about PD medications had higher levels of non-motor symptoms and depression. The subjects using amantadine and anticholinergics had significantly higher concern scores than those who did not use them. Positive necessity-concerns differentials were associated with severe illness, the presence of motor fluctuation and dyskinesia, and the use of COMT inhibitors. Based on stepwise multiple regression, the most significant factors influencing necessity beliefs were severe illness, followed by depression and motor fluctuation.
Conclusion
Severe illness, higher levels of depression, and motor fluctuation are independent factors influencing patients’ beliefs regarding medication necessity. Therefore, these characteristics should be considered in medication belief assessment and interventions for PD patients.

Citations

Citations to this article as recorded by

Adherence to Parkinson's disease medication: A case study to illustrate reasons for non-adherence, implications for practice and engaging under-represented participants in research
Delyth James, Joshua Smith, Emma Lane, Rhian Thomas, Sarah Brown, Heidi Seage
Exploratory Research in Clinical and Social Pharmacy.2024; 14: 100450. CrossRef
Relationship Between Medication Literacy and Beliefs Among Persons with Type 2 Diabetes Mellitus in Guangdong, China
Sifen Jiang, Zhuoqi Zhu, Guisheng Liao, Yanling Huang, Lichang Li, Kun Zeng
Patient Preference and Adherence.2023; Volume 17: 2039. CrossRef
Effect of Pillbox Organizers with Alarms on Adherence to Pharmacotherapy in Parkinson Disease Patients Taking Three and More Daily Doses of Dopaminergic Medications
Igor Straka, Michal Minar, Milan Grofik, Matej Skorvanek, Veronika Bolekova, Andrea Gazova, Jan Kyselovic, Peter Valkovic
Journal of Personalized Medicine.2022; 12(2): 179. CrossRef
Factors Related to Beliefs about Medication in Ischemic Stroke Patients
Gye-Gyoung Kim, Sung-Hee Yoo, Man-Seok Park, Hyun-Young Park, Jae-Kwan Cha
Journal of Clinical Medicine.2022; 11(13): 3825. CrossRef
Lycium barbarum polysaccharide improves dopamine metabolism and symptoms in an MPTP-induced model of Parkinson’s disease
Jiangbo Song, Lian Liu, Zhiquan Li, Ting Mao, Jianfei Zhang, Lei Zhou, Xin Chen, Yunzhu Shang, Tao Sun, Yuxin Luo, Yu Jiang, Duan Tan, Xiaoling Tong, Fangyin Dai
BMC Medicine.2022;[Epub] CrossRef

The Non-Motor Symptom Profile of Progressive Supranuclear Palsy: Sudhakar Pushpa Chaithra, Shweta Prasad, Vikram Venkappayya Holla, Albert Stezin, Nitish Kamble, Ravi Yadav, Pramod Kumar Pal; J Mov Disord. 2020;13(2):118-126. Published online April 6, 2020; DOI: https://doi.org/10.14802/jmd.19066

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Abstract PDF

Objective
Non-motor symptoms (NMSs) significantly contribute to increased morbidity and poor quality of life in patients with parkinsonian disorders. This study aims to explore the profile of NMSs in patients with progressive supranuclear palsy (PSP) using the validated Non-Motor Symptom Scale (NMSS).
Methods
Seventy-six patients with PSP were evaluated in this study. Motor symptoms and NMSs were evaluated using the PSP Rating Scale (PSPRS), Unified Parkinson’s Disease Rating Scale-III, Montreal Cognitive Assessment, Hamilton Depression (HAMD) and Anxiety Rating Scales, Parkinson’s Disease Sleep Scale (PDSS) and NMSS. NMS severity and prevalence were also compared between patients with PSP-Richardson syndrome (PSP-RS) and those with PSP-parkinsonism.
Results
All subjects in this cohort reported at least 2 NMSs. The most prevalent NMSs in patients with PSP were in the domains of sleep/fatigue, mood/cognition, and sexual function. The least prevalent NMSs were in the domains of cardiovascular including falls, and perceptual problems/hallucinations. Significant correlations were observed between the NMSS scores and HAM-D, PDSS, PSPRS scores and PSPRS sub-scores. The severity of NMSs was unrelated to the duration of illness. Patients with PSP-RS reported a higher severity of drooling, altered smell/taste, depression and altered interest in sex and a higher prevalence of sexual dysfunction.
Conclusion
NMSs are commonly observed in patients with PSP, and the domains of sleep, mood and sexual function are most commonly affected. These symptoms contribute significantly to disease morbidity, and clinicians should pay adequate attention to identifying and addressing these symptoms.

Citations

Citations to this article as recorded by

Phenotypic Spectrum of Progressive Supranuclear Palsy: Clinical Study and Apolipoprotein E Effect
Amina Nasri, Ikram Sghaier, Anis Neji, Alya Gharbi, Youssef Abida, Saloua Mrabet, Amina Gargouri, Mouna Ben Djebara, Imen Kacem, Riadh Gouider
Journal of Movement Disorders.2024; 17(2): 158. CrossRef
Differences in Progressive Supranuclear Palsy in Patients of Asian Ancestry?
Shen-Yang Lim, Azalea T. Pajo, Alfand Marl F. Dy Closas, JiaWei Hor, Tzi Shin Toh, Su Juen Ngim, Yi Zhe Lim, Ai Huey Tan
Parkinsonism & Related Disorders.2024; : 107162. CrossRef
Autonomic dysfunction in progressive supranuclear palsy
Francesca Baschieri, Maria Vitiello, Pietro Cortelli, Giovanna Calandra-Buonaura, Francesca Morgante
Journal of Neurology.2023; 270(1): 109. CrossRef
PDQ-8: A Simplified and Effective Tool Measuring Life Quality in Progressive Supranuclear Palsy
Xin-Yi Li, Ming-Jia Chen, Xiao-Niu Liang, Rui-Xin Yao, Bo Shen, Bin Wu, Gen Li, Yi-Min Sun, Jian-Jun Wu, Feng-Tao Liu, Yu-Jie Yang, Jian Wang
Journal of Parkinson's Disease.2023; 13(1): 83. CrossRef
Non-motor symptoms in multiple system atrophy: A comparative study with Parkinson's disease and progressive supranuclear palsy
Wen-Zheng Hu, Ling-Xiao Cao, Jin-Hui Yin, Xue-Song Zhao, Ying-Shan Piao, Wei-Hong Gu, Jing-Hong Ma, Zhi-Rong Wan, Yue Huang
Frontiers in Neurology.2023;[Epub] CrossRef
Neurological update: the palliative care landscape for atypical parkinsonian syndromes
Noreen O’Shea, Shane Lyons, Stephen Higgins, Sean O’Dowd
Journal of Neurology.2023; 270(4): 2333. CrossRef
Structural correlates of survival in progressive supranuclear palsy
Duncan Street, W Richard Bevan-Jones, Maura Malpetti, P Simon Jones, Luca Passamonti, Boyd CP. Ghosh, Timothy Rittman, Ian TS. Coyle-Gilchrist, Kieren Allinson, Catherine E. Dawson, James B. Rowe
Parkinsonism & Related Disorders.2023; 116: 105866. CrossRef
Migraine and Tension-type Headache in Parkinson’s Disease and Progressive Supranuclear Palsy/Corticobasal Syndrome
Vinayak Jatale, Ashutosh Tiwari, Mritunjai Kumar, Ravi Gupta, Niraj Kumar
Annals of Indian Academy of Neurology.2023; 26(5): 708. CrossRef
A Systematic Review of Apathy and Depression in Progressive Supranuclear Palsy
Joshua Flavell, Peter J. Nestor
Journal of Geriatric Psychiatry and Neurology.2022; 35(3): 280. CrossRef
The Burden of Progressive Supranuclear Palsy on Patients, Caregivers, and Healthcare Systems by PSP Phenotype: A Cross-Sectional Study
Demetris Pillas, Alexander Klein, Teresa Gasalla, Andreja Avbersek, Alexander Thompson, Jack Wright, Jennifer Mellor, Anna Scowcroft
Frontiers in Neurology.2022;[Epub] CrossRef
Fatigue in hypokinetic, hyperkinetic, and functional movement disorders
Ilaria Antonella Di Vico, Giovanni Cirillo, Alessandro Tessitore, Mattia Siciliano, Massimo Venturelli, Cristian Falup-Pecurariu, Gioacchino Tedeschi, Francesca Morgante, Michele Tinazzi
Parkinsonism & Related Disorders.2021; 86: 114. CrossRef
Prevalence and Characteristics of Polyneuropathy in Atypical Parkinsonian Syndromes: An Explorative Study
Rachel Rohmann, Eva Kühn, Raphael Scherbaum, Lovis Hilker, Saskia Kools, Leonard Scholz, Katharina Müller, Sophie Huckemann, Christiane Schneider-Gold, Ralf Gold, Kalliopi Pitarokoili, Lars Tönges, Eun Hae Kwon
Brain Sciences.2021; 11(7): 879. CrossRef
Understanding fatigue in progressive supranuclear palsy
Jong Hyeon Ahn, Joomee Song, Dong Yeong Lee, Jinyoung Youn, Jin Whan Cho
Scientific Reports.2021;[Epub] CrossRef
“Parkinson’s disease” on the way to progressive supranuclear palsy: a review on PSP-parkinsonism
Ján Necpál, Miroslav Borsek, Bibiána Jeleňová
Neurological Sciences.2021; 42(12): 4927. CrossRef
Clinical progression of progressive supranuclear palsy: impact of trials bias and phenotype variants
Duncan Street, Maura Malpetti, Timothy Rittman, Boyd C P Ghosh, Alexander G Murley, Ian Coyle-Gilchrist, Luca Passamonti, James B Rowe
Brain Communications.2021;[Epub] CrossRef

Individual Therapeutic Singing Program for Vocal Quality and Depression in Parkinson’s Disease: Eun Young Han, Ji Young Yun, Hyun Ju Chong, Kyoung-Gyu Choi; J Mov Disord. 2018;11(3):121-128. Published online August 9, 2018; DOI: https://doi.org/10.14802/jmd.17078

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Abstract PDF Supplementary Material

Objective
Patients with Parkinson’s disease (PD) frequently experience depression associated with voice problems. Singing involves the use of similar muscles and the neural networks associated with vocal function and emotional response. The purpose of this study is to enhance vocal quality and depressive symptoms of patients with PD using individual singing program.
Methods
The Individual Therapeutic Singing Program for PD (ITSP-PD) was conducted by a certified music therapist. In total, nine PD patients with a subjective voice problem or depression participated in 6 sessions over 2 weeks. We measured the Maximum Phonation Time (MPT) via the Praat test, the Voice Handicap Index (VHI), the Voice-Related Quality of Life (V-RQOL) and the Geriatric Depression Scale (GDS).
Results
In total, 8 out of 9 patients completed all the sessions; 6 out of 8 patients participated in the follow-up test after 6 months. A statistically significant change in MPT (p = 0.011) was observed between the pre- and post-tests. The VHI (p = 0.035) and the GDS (p = 0.018) were significantly lower in the post-test. In the pre-, post-, and follow-up tests, the MPT (p = 0.030), V-RQOL (p = 0.008), and GDS (p = 0.009) were significantly changed.
Conclusion
The ITSP-PD based on neurological singing therapy for PD showed therapeutic possibility for vocal function and depression in patients with PD. Our findings suggest the need for a randomized study to examine the continuing positive effects of the ITSP-PD over a longer period of time.

Citations

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Functional data analysis of prosodic prominence in Parkinson’s disease: a pilot study
Lauri Tavi, Nelly Penttilä
Clinical Linguistics & Phonetics.2024; 38(1): 64. CrossRef
Awareness of Dysphagia-Related Complications and Risks and the Importance of Early Intervention in Patients with Parkinson’s Disease: A Qualitative Study
Kaifeng Yao, Lihua Wang, Lihua Zhang, Aderito Seixas
International Journal of Clinical Practice.2023; 2023: 1. CrossRef
Group singing improves both physical and psychological wellbeing in people with and without chronic health conditions: A narrative review
Quinn Campbell, Sally Bodkin-Allen, Nicola Swain
Journal of Health Psychology.2022; 27(8): 1897. CrossRef
Defining the Therapeutic Singing Voice: Further Examination of the Everyday Singing Practices of Music Therapists
Martina C Bingham, Elizabeth K Schwartz, Anthony Meadows
Music Therapy Perspectives.2022; 40(1): 3. CrossRef
Music affects functional brain connectivity and is effective in the treatment of neurological disorders
Luisa Speranza, Salvatore Pulcrano, Carla Perrone-Capano, Umberto di Porzio, Floriana Volpicelli
Reviews in the Neurosciences.2022; 33(7): 789. CrossRef
Acute effects of singing on cardiovascular biomarkers
Kamila Somayaji, Mogen Frenkel, Luai Tabaza, Alexis Visotcky, Tanya Kruse Ruck, Ernest Kwesi Ofori, Michael E. Widlansky, Jacquelyn Kulinski
Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
Music Therapy and Parkinson’s Disease: A Systematic Review from 2015–2020
Manuel Joaquín Machado Sotomayor, Víctor Arufe-Giráldez, Gerardo Ruíz-Rico, Rubén Navarro-Patón
International Journal of Environmental Research and Public Health.2021; 18(21): 11618. CrossRef
The use of music as an arts-based method in migrant health research: a scoping review protocol
Fran Garry, Sylvia Murphy Tighe, Anne MacFarlane, Helen Phelan
HRB Open Research.2020; 3: 75. CrossRef
Walking the thin white line – managing voice in the older adult
Jacqui Allen, Anna Miles
Speech, Language and Hearing.2019; 22(1): 25. CrossRef
Music Therapy and Music-Based Interventions for Movement Disorders
Kerry Devlin, Jumana T. Alshaikh, Alexander Pantelyat
Current Neurology and Neuroscience Reports.2019;[Epub] CrossRef

Sleepiness and Depression in Parkinson’s Disease Patients Treated with Ropinirole and Levodopa: Suk Yun Kang, Ho-Sung Ryu, Mun-Kyung Sunwoo, Sang-Jin Kim, Jong-Sam Baik, Mee-Young Park, Hyung-Eun Park, Joong-Seok Kim, Kyum-Yil Kwon, Seong-Beom Koh, Young-Eun Kim, Mi-Kyong Lee, Jong-Min Kim, Sun Ju Chung, Young-Ho Sohn; J Mov Disord. 2017;10(3):123-129. Published online September 22, 2017; DOI: https://doi.org/10.14802/jmd.17048

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Abstract PDF

Objective
We aimed to investigate the effect of ropinirole on excessive daytime sleepiness (EDS) and depression in Parkinson’s disease (PD) with a large population.
Methods
We conducted a cross-sectional observational study at nine hospitals in Korea between April 24, 2013, and April 22, 2015. We analyzed the demographic and clinical features, other medical history, history of antiparkinsonian medication within 6 months, Hoehn and Yahr stage (HY stage), Unified Parkinson’s Disease Rating Scale (UPDRS) part II and III, Epworth Sleepiness Scale (ESS), and 30-item Geriatric Depression Scale (GDS-30).
Results
Four-hundred-thirteen patients with PD (mean age: 65.2 ± 9.0 years; men: 227 patients) were analyzed. Multivariate logistic regression analysis showed that age at examination, UPDRS II, and GDS-30 were independent risk factors for EDS and that sex, UPDRS II, and ESS were independent risk factors for depression.
Conclusion
Our large group study did not find any significant associations of ropinirole with EDS and depression in Korean PD patients.

Citations

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Associations between non-motor symptoms and patient characteristics in Parkinson’s disease: a multicenter cross-sectional study
Remi Morimoto, Mutsumi Iijima, Yasuyuki Okuma, Keisuke Suzuki, Fumihito Yoshii, Shigeru Nogawa, Takashi Osada, Kazuo Kitagawa
Frontiers in Aging Neuroscience.2023;[Epub] CrossRef
Excessive Daytime Sleepiness in Parkinson’s Disease
Hanshu Liu, Jingwen Li, Xinyi Wang, Jinsha Huang, Tao Wang, Zhicheng Lin, Nian Xiong
Nature and Science of Sleep.2022; Volume 14: 1589. CrossRef
Excessive daytime sleepiness in Parkinson's disease: A systematic review and meta-analysis
Fei Feng, YingYing Cai, YanBing Hou, Ruwei Ou, Zheng Jiang, HuiFang Shang
Parkinsonism & Related Disorders.2021; 85: 133. CrossRef
Sleep Disorders and Cognitive Dysfunctions in Parkinson’s Disease: A Meta-Analytic Study
Gianpaolo Maggi, Luigi Trojano, Paolo Barone, Gabriella Santangelo
Neuropsychology Review.2021; 31(4): 643. CrossRef
Longitudinal risk factors for developing depressive symptoms in Parkinson's disease
Tarek Antar, Huw R. Morris, Faraz Faghri, Hampton L. Leonard, Mike A. Nalls, Andrew B. Singleton, Hirotaka Iwaki
Journal of the Neurological Sciences.2021; 429: 117615. CrossRef
The effect and safety of ropinirole in the treatment of Parkinson disease
Jiali Zhu, Min Chen
Medicine.2021; 100(46): e27653. CrossRef
Pramipexole regulates depression-like behavior via dopamine D3 receptor in a mouse model of Parkinson’s disease
Shi-Zhuang Wei, Xiao-Yu Yao, Chen-Tao Wang, An-Qi Dong, Dan Li, Yu-Ting Zhang, Chao Ren, Jin-Bao Zhang, Cheng-Jie Mao, Fen Wang, Chun-Feng Liu
Brain Research Bulletin.2021; 177: 363. CrossRef
A selective D2 dopamine receptor agonist alleviates depression through up-regulation of tyrosine hydroxylase and increased neurogenesis in hippocampus of the prenatally stressed rats
Mahino Fatima, Mir Hilal Ahmad, Saurabh Srivastav, Moshahid Alam Rizvi, A.C. Mondal
Neurochemistry International.2020; 136: 104730. CrossRef
‘Dopamine agonist Phobia’ in Parkinson’s disease: when does it matter? Implications for non-motor symptoms and personalized medicine
Silvia Rota, Iro Boura, Lucia Batzu, Nataliya Titova, Peter Jenner, Cristian Falup-Pecurariu, K Ray Chaudhuri
Expert Review of Neurotherapeutics.2020; 20(9): 953. CrossRef
An Investigation on the Clinical Features and Neurochemical Changes in Parkinson's Disease With Depression
Teng-Hong Lian, Peng Guo, Li-Jun Zuo, Yang Hu, Shu-Yang Yu, Li Liu, Zhao Jin, Qiu-Jin Yu, Rui-Dan Wang, Li-Xia Li, Ying-Shan Piao, Wei Zhang
Frontiers in Psychiatry.2019;[Epub] CrossRef

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