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Gupta R, Kumari S, Senapati A, Ambasta RK, Kumar P. New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease. Ageing Res Rev 2023; 90:102013. [PMID: 37429545 DOI: 10.1016/j.arr.2023.102013] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/26/2023] [Accepted: 07/06/2023] [Indexed: 07/12/2023]
Abstract
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to synaptic dysfunction and cognitive defects. Despite the advancements in treatment strategies, the management of PD is still a challenging event. Early prediction and diagnosis of PD are of utmost importance for effective management of PD. In addition, the classification of patients with PD as compared to normal healthy individuals also imposes drawbacks in the early diagnosis of PD. To address these challenges, artificial intelligence (AI) and machine learning (ML) models have been implicated in the diagnosis, prediction, and treatment of PD. Recent times have also demonstrated the implication of AI and ML models in the classification of PD based on neuroimaging methods, speech recording, gait abnormalities, and others. Herein, we have briefly discussed the role of AI and ML in the diagnosis, treatment, and identification of novel biomarkers in the progression of PD. We have also highlighted the role of AI and ML in PD management through altered lipidomics and gut-brain axis. We briefly explain the role of early PD detection through AI and ML algorithms based on speech recordings, handwriting patterns, gait abnormalities, and neuroimaging techniques. Further, the review discuss the potential role of the metaverse, the Internet of Things, and electronic health records in the effective management of PD to improve the quality of life. Lastly, we also focused on the implementation of AI and ML-algorithms in neurosurgical process and drug discovery.
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Affiliation(s)
- Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, USA.
| | - Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, USA
| | | | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, USA
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, USA.
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The Role of Telemedicine in the Treatment of Cognitive and Psychological Disorders in Parkinson’s Disease: An Overview. Brain Sci 2023; 13:brainsci13030499. [PMID: 36979309 PMCID: PMC10046051 DOI: 10.3390/brainsci13030499] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/03/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Background: This literature review evaluates the use and efficacy of telemedicine in cognitive and psychological treatment in Parkinson’s disease. Methods: Studies performed between 2016 and 2021 that fulfilled inclusion criteria were selected from PubMed, Scopus, Cochrane, and Web of Science databases. All articles were evaluated by title, abstract, and text. All studies that examined the cognitive and psychological/psychotherapy treatment of patients with Parkinson’s disease by telemedicine were included. Results: Telehealth improved cognitive status and emotional/behavioral disorders in this population, and had positive effects on the patients’ and caregivers’ quality of life. Conclusions: Our literature review supports the development and efficacy of cognitive and psychological treatment with telemedicine, but the methodology of the study must be reviewed considering its limitations so as to highlight the benefits and risks of treatment via telemedicine.
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Ardelean A, Redolat R. Supporting Behavioral and Psychological Challenges in Alzheimer Using Technology: A Systematic Review. ACTIVITIES, ADAPTATION & AGING 2023. [DOI: 10.1080/01924788.2023.2172900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Affiliation(s)
- A. Ardelean
- Department of Psychobiology, Faculty of Psychology and Logopedy, Universitat de València, Valencia, Spain
| | - R. Redolat
- Department of Psychobiology, Faculty of Psychology and Logopedy, Universitat de València, Valencia, Spain
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OYAMA GENKO, OGAWA MAYUKO, SEKIMOTO SATOKO, HATANO TAKU, HATTORI NOBUTAKA. A Narrative Review of Current Status and Future Perspective of Telemedicine for Parkinson's Disease, Dementia, and Intractable Neurological Diseases in Japan. JUNTENDO IJI ZASSHI = JUNTENDO MEDICAL JOURNAL 2023; 69:14-20. [PMID: 38854844 PMCID: PMC11153070 DOI: 10.14789/jmj.jmj22-0031-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 10/20/2022] [Indexed: 06/11/2024]
Abstract
The coronavirus disease 2019 pandemic has uncovered several inherent problems in society. While the demand for telemedicine surged worldwide and some countries responded flexibly, in Japan, most telemedicine services were limited to telephone consultations, and full-fledged telemedicine did not become widespread. In addition, the digitalization process in both medicine and wider society lags behind some other nations. It is necessary to accelerate digital transformation in healthcare to build a sustainable society that is resilient to crises, such as new pandemics. In particular, as Japan is facing an issue of super-aged society, a sustainable care model for people with Parkinson's disease, dementia, and intractable neurological diseases should be established. Many neurodegenerative and intractable neurological diseases are progressive; as the disease progresses, patients could become difficult to visit specialists. Although online medical care has many advantages, it does not provide the same quality of information as face-to-face consultations. However, new technology can overcome the limitations of online medical care. As an evolutionary direction for telemedicine, three-dimensional telemedicine technologies are being developed, which enable online medical treatment to be delivered as if the patient was sharing the same space. Telemonitoring can enable the objective and continuous evaluation of patient information at home through the use of motion capture, wearable devices, and other devices. The advancement of digital transformation in medical care should be a game-changer in accumulating big data and analyzing it using artificial intelligence.
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Affiliation(s)
- GENKO OYAMA
- Corresponding author: Genko Oyama, Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan, TEL: +81-3-3813-3111 FAX: +81-3-5800-0547 E-mail:
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João RB, Nogueira MH, Morita-Sherman ME, Alvim MKM, Johnny S, Pereira H, Pinheiro HP, Cendes F, Yasuda CL. The Relationship Between Depression and Anxiety Symptoms of Adult PWE and Caregivers in a Tertiary Center. Front Neurol 2022; 13:766009. [PMID: 35356450 PMCID: PMC8959587 DOI: 10.3389/fneur.2022.766009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 02/14/2022] [Indexed: 11/24/2022] Open
Abstract
Background Although several studies have emphasized the association between epilepsy and psychiatric disorders, fewer have investigated the impact of epilepsy on caregivers' emotional status, mainly in adult people with epilepsy (PWE). Here we investigated depressive symptoms, suicidal ideation, and anxiety symptoms in a large group of adult PWE and their caregivers. Methods We analyzed symptoms of depression [with the Beck Depression Inventory-II (BDI-II)], suicidal ideation (with BDI-II item 9), and anxiety symptoms (with the Beck Anxiety Inventory) in a large group of adult PWE [N = 548 (60% women; median age 41)] and caregivers [N = 191 (72% women; median age 47)] from a Brazilian tertiary center, considering sociodemographic and clinical aspects. We also applied the Liverpool Adverse Events Profile to assess anti-seizure drugs adverse events. Results While the presence (p = 0.026) (and intensity, p = 0.007) of depressive symptoms and suicidal ideation (p = 0.02) were higher in PWE compared to caregivers, the proportion of clinical anxiety symptoms (p = 0.32) (and the intensity, p = 0.13) was similar in both groups. Although the rates of suicidal ideation were higher in focal epilepsy (20%), both generalized genetic epilepsy and caregivers also presented elevated frequencies (11%) of suicidal ideation. The analyses of 120 patient-caregiver dyads revealed that the intensity of depressive symptoms in PWE (but not anxiety) correlated with the intensity of depressive (r = 0.35; p < 0.001) and anxiety (r = 0.25; p = 0.01) symptoms in their caregivers. In the multivariate analyses of PWE, focal epilepsy (compared to GGE) was associated with clinical depressive symptoms (odds ratio, OR 2.1) and suicidal ideation (OR 3.2), while recurrent seizures (compared to the seizure-free group) were associated with suicidal ideation (OR 2.6) and anxiety symptoms (OR 2.1). Also, caregivers with anxiety symptoms were 8 times more likely to exhibit depressive symptoms, and those with depressive symptoms were 8 times more likely to present anxiety symptoms. Conclusion Our study suggests that specific attention for the caregivers' mental health is as essential as PWE. There is an urgent need for more studies involving caregivers to identify their emotional distress and provide adequate treatment.
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Affiliation(s)
- Rafael Batista João
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Mateus Henrique Nogueira
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Márcia Elisabete Morita-Sherman
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Marina Koutsodontis Machado Alvim
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Steven Johnny
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Haryton Pereira
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Hildete Prisco Pinheiro
- Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Campinas, Brazil
| | - Fernando Cendes
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Clarissa Lin Yasuda
- Neuroimaging Laboratory, Department of Neurology, University of Campinas, Campinas, Brazil
- The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
- *Correspondence: Clarissa Lin Yasuda
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Gong Y, Chen Z, Liu M, Wan L, Wang C, Peng H, Shi Y, Peng Y, Xia K, Qiu R, Tang B, Jiang H. Anxiety and depression in spinocerebellar ataxia patients during the COVID-19 pandemic in China: A cross-sectional study. J Clin Neurosci 2021; 88:39-46. [PMID: 33992201 DOI: 10.1016/j.jocn.2021.03.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 12/05/2020] [Accepted: 03/08/2021] [Indexed: 12/11/2022]
Abstract
Coronavirus disease 2019 (COVID-19) is currently a global concern, and the psychological impact cannot be overlooked. Our purpose was to evaluate the anxiety and depression in spinocerebellar ataxia (SCA) patients during the pandemic and to analyse the influencing factors. We conducted an online questionnaire survey among 307 SCA patients from China and selected 319 healthy people matched by sex and age as the control group. The questionnaire included general information, the self-rating anxiety scale (SAS), and the self-rating depression scale (SDS). The relevant factors included COVID-19 risk factors, age, sex, body mass index (BMI), educational background, disease course, score on the scale for the assessment and rating of ataxia (SARA), Mini-mental State Examination (MMSE) and International Cooperative Ataxia Rating Scale (ICARS). The proportion of SCA patients with anxiety was 34.9%, and the proportion with depression was 56.7%. The SAS and SDS scores of the SCA patients were significantly higher than those of the control group (SAS: 45.8 ± 10.1 vs. 40.6 ± 8.9, P < 0.01; SDS: 55.1 ± 12.2 vs. 43.6 ± 11.9, P < 0.01). In SCA3, the risk of exposure to COVID-19, educational level, disease course and the severity of ataxia may be factors affecting patients' mental health. More attention should be paid to the mental health of SCA patients during the COVID-19 pandemic.
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Affiliation(s)
- Yiqing Gong
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Mingjie Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chunrong Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huirong Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yuting Shi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yun Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Kun Xia
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China; Hunan Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, China
| | - Rong Qiu
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China.
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Bhaskar S, Bradley S, Chattu VK, Adisesh A, Nurtazina A, Kyrykbayeva S, Sakhamuri S, Moguilner S, Pandya S, Schroeder S, Banach M, Ray D. Telemedicine as the New Outpatient Clinic Gone Digital: Position Paper From the Pandemic Health System REsilience PROGRAM (REPROGRAM) International Consortium (Part 2). Front Public Health 2020; 8:410. [PMID: 33014958 PMCID: PMC7505101 DOI: 10.3389/fpubh.2020.00410] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022] Open
Abstract
Technology has acted as a great enabler of patient continuity through remote consultation, ongoing monitoring, and patient education using telephone and videoconferencing in the coronavirus disease 2019 (COVID-19) era. The devastating impact of COVID-19 is bound to prevail beyond its current reign. The vulnerable sections of our community, including the elderly, those from lower socioeconomic backgrounds, those with multiple comorbidities, and immunocompromised patients, endure a relatively higher burden of a pandemic such as COVID-19. The rapid adoption of different technologies across countries, driven by the need to provide continued medical care in the era of social distancing, has catalyzed the penetration of telemedicine. Limiting the exposure of patients, healthcare workers, and systems is critical in controlling the viral spread. Telemedicine offers an opportunity to improve health systems delivery, access, and efficiency. This article critically examines the current telemedicine landscape and challenges in its adoption, toward remote/tele-delivery of care, across various medical specialties. The current consortium provides a roadmap and/or framework, along with recommendations, for telemedicine uptake and implementation in clinical practice during and beyond COVID-19.
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Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Sydney, NSW, Australia.,Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia.,South Western Sydney Clinical School, The University of New South Wales, UNSW Medicine, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,St. Michael's Hospital, Toronto, ON, Canada
| | - Anil Adisesh
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Medicine, University of Toronto, Toronto, ON, Canada.,St. Michael's Hospital, Toronto, ON, Canada
| | - Alma Nurtazina
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Saltanat Kyrykbayeva
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Sateesh Sakhamuri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Department of Clinical Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Sebastian Moguilner
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Shawna Pandya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada
| | - Starr Schroeder
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Polish Mother's Memorial Hospital Research Institute (PMMHRI), Łódz, Poland.,Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland.,Department of Hypertension, Medical University of Lodz, Łódz, Poland
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Sub-committee, Sydney, NSW, Australia.,Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
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Ohta Y, Hishikawa N, Sato K, Takemoto M, Yamashita T, Doutare S, Abe K. Improving Anxiety in Subacute Myelo-optico-neuropathy (SMON) after an Automated Telephone Call Service. Intern Med 2019; 58:1081-1085. [PMID: 30568131 PMCID: PMC6522413 DOI: 10.2169/internalmedicine.1554-18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective We evaluated the clinical effects of a telephone call service for psychological symptoms such as anxiety, depression or apathy in subacute myelo-optico-neuropathy (SMON) patients living alone or with a single caregiver. Methods Up to 16 SMON patients (4 men, 12 women) and 32 control subjects were evaluated by the geriatric depression scale (GDS), apathy scale (AS) and state and trait anxiety inventory (STAI) forms X-I, including the P and A values for depression, apathy and state anxiety including disturbed peace of mind and enhanced anxiety, respectively, before (pre) and three months after (post) the telephone call service. Results The SMON patients, especially women, had significantly worse baseline scores in GDS (depression), AS (apathy) and STAI (state anxiety) than control subjects. The automated telephone call service significantly improved the high baseline STAI scores, including the P and A scores (disturbed peace of mind and enhanced anxiety), of SMON patients but not the GDS or AS scores. Conclusion SMON patients, especially women, living alone or with a single caregiver showed higher baseline depression, apathy and anxiety scores than the control subjects. The present automated telephone call service proved to be a useful care tool for improving the anxiety of SMON patients with high STAI P and A scores.
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Affiliation(s)
- Yasuyuki Ohta
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
| | - Nozomi Hishikawa
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
| | - Kota Sato
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
| | - Mami Takemoto
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
| | - Toru Yamashita
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
| | | | - Koji Abe
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan
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