• Journal of Sasang Constitutional Medicine
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• v.25 no.4
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• pp.442-453
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• 2013

Objectives This case study was about a Taeeumin patient with advanced Parkinson's disease diagnosed as Dry-heat symptomatic pattern. In this study, we reported significant improvement of motor and non-motor symptoms of this patient after Sasang constitutional medicine treatment. Methods The patient was diagnosed with Taeeumin Dry-heat symptomatic pattern and treated with Taeeumin's constitutional medications and acupuncture. The primary outcome measure for this study is Unified Parkinson Disease Rating Scale(UPDRS) to assess the overall function of patient. Secondary outcome assessments include Global Assessment Scale(GAS), change of patient's sleep, stool and urine. Results and Conclusions The patient treated with Taeeumin's constitutional medications and acupuncture had reduction in UPDRS (specifically Part II, Part III and Part IV) and GAS of motor symptoms. Furthermore, patient's sleep, stool and urine were reported to be normal after treatment. In conclusion, this study shows that Sasang constitutional medicine can be effective treatment for Taeeumin patient with Advanced Parkinson's disease diagnosed as Dry-heat symptomatic pattern.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.9-17
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• 2023

Parkinson's disease is a complex neurodegenerative disease characterized by the progressive loss of dopamine-producing neurons in the substantia nigra, resulting in a variety of motor and non-motor symptoms. This study aimed to provide a comprehensive overview of Parkinson's disease, including classification of Parkinson's disease, impairment due to impairment, how disability is assessed, and how it is treated. Major symptoms of Parkinson's disease include tremors, stiffness, bradykinesia, and postural instability, and treatment methods include rehabilitation through drugs, surgical procedures, physical therapy, and occupational therapy. Early diagnosis, individualized treatment interventions, and comprehensive treatment involving a multidisciplinary medical team will be essential to manage Parkinson's disease and improve patients' quality of life. In conclusion, this study will provide comprehensive information on the complex nature of Parkinson's disease and serve as a useful guide for healthcare providers designing treatment plans for Parkinson's patients.

• Journal of Sasang Constitutional Medicine
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• v.28 no.2
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• pp.193-204
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• 2016

Objectives This case study is about a Taeeumin patient with advanced Parkinson's disease identified as Dry-heat (Joyeol) pattern. In this study, we report significant improvement of non-motor and motor symptoms after treatment with Cheongsimyeonja-tang.Methods The patient was identified as Taeeumin Dry-heat (Joyeol) pattern and treated with Cheongsimyeonja-tang and acupuncture. The Unified Parkinson Disease Rating Scale (UPDRS) was used to assess the overall functions of the patient. And the global assessment scale (GAS) was used to assess the improvements of dizziness, bradykinesia and tremor after the treatment.Result and Conclusion The UPDRS total score decreased from 138 points to 86 points after 5 weeks treatment. And symptoms of dizziness caused by hypotension, bradykinesia, and tremor showed significant improvement in GAS after the treatment. Furthermore, sleep disturbance and constipation were reported to be improved after the treatment. In conclusion, this study shows that Sasang constitutional medicine can be effective treatment for Taeeumin patient with advanced Parkinson's disease having orthostatic hypotension.

• BMB Reports
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• v.47 no.8
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• pp.424-432
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• 2014

The defining feature of Parkinson's disease is a progressive and selective demise of dopaminergic neurons. A recent report on Parkinson's disease animal model demonstrates that poly (ADP-ribose) (PAR) dependent cell death, also named parthanatos, is accountable for selective dopaminergic neuronal loss. Parthanatos is a programmed necrotic cell death, characterized by PARP1 activation, apoptosis inducing factor (AIF) nuclear translocation, and large scale DNA fragmentation. Besides cell death regulation via interaction with AIF, PAR molecule mediates diverse cellular processes including genomic stability, cell division, transcription, epigenetic regulation, and stress granule formation. In this review, we will discuss the roles of PARP1 activation and PAR molecules in the pathological processes of Parkinson's disease. Potential interaction between PAR molecule and Parkinson's disease protein interactome are briefly introduced. Finally, we suggest promising points of therapeutic intervention in the pathological PAR signaling cascade to halt progression in Parkinson's disease.

• International journal of advanced smart convergence
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• v.1 no.1
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• pp.43-47
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• 2012

Parkinson's disease is representative degenerative diseases of the nervous system, which is from deficiency of dopamine neurons to pass in which the gradual degeneration of the body. In this paper, open UCI repository data of Parkinson's patients is used for experiments. The classification based on correlation analysis is examined. In addition, the relationship between groups is differentiated by cluster analysis based on patients with Parkinson's disease by apriori algorithm and correlation analysis. It is used to find the properties that distinguish cluster analysis. Though the disease is the same in the basic structure, each group is compared as each gender group with the most distinctive part of the characteristics.

• The Journal of Internal Korean Medicine
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• v.44 no.4
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• pp.603-620
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• 2023

Objectives: This study reviewed randomized controlled trials (RCTs) investigating the efficacy of herbal medicine on sleep disorders associated with Parkinson's disease and suggests a better research process. Methods: We searched for RCTs for herbal medicine treatments for sleep disorders related to Parkinson's disease on July 31, 2023 using eight databases (PubMed, Embase, the Cochrane library, China National Knowledge Infrastructure [CNKI], the Research Information Service System [RISS], Science ON, the Oriental Medicine Advanced Searching Integrated System [OASIS], and the Korea Citation Index [KCI]). Cochrane's risk of bias tool was used to assess the quality of the RCTs. Results: A total of 16 RCTs met all the inclusion criteria, and in most reports, the treatment group showed a significant improvement in sleep disorders compared to the control group. Total effective rate (TER), Pittsburgh Sleep Quality Index (PSQI), Unified Parkinson's Disease Rating Scale (UPDRS), TCM Symptom Score (TSS), Parkinson's Disease Sleep Scale (PDSS), etc., were used as evaluation indicators. Conclusion: Herbal medicine is a potential treatment for sleep disorders associated with Parkinson's disease. However, the selected RCTs were of poor quality, and it is necessary to perform more systematic studies.

• The Journal of Internal Korean Medicine
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• v.41 no.1
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• pp.59-68
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• 2020

Objectives: The purpose of this study was to investigate the current state of clinical trials for acupuncture treatment of Parkinson's disease (PD) using neuroimaging methods. Methods: We searched for clinical trial studies of acupuncture treatment for Parkinson's disease that used neuroimaging methods in the MEDLINE (PubMed) database. The identified studies were then selected manually based on inclusion criteria. We subsequently analyzed the characteristics of the selected articles and reviewed the neural substrates of acupuncture treatment in PD. Results: Eight studies were included. The most frequently applied modality for PD was functional MRI. The most frequently selected acupoint for PD was GV34. Several studies showed that acupuncture treatment could improve the symptoms of PD. Through the analysis, we demonstrated that the neuroimaging method could capture the neural substrates associated with PD and that acupuncture treatment may affect the activation of brain areas that are impaired in PD in a different way than sham acupuncture. Conclusions: Applying a neuroimaging method could be helpful in clinical trials of acupuncture treatment for PD, and more efforts should be made in this area.

• Korean Journal of Biological Psychiatry
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• v.4 no.1
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• pp.132-135
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• 1997

Current treatment strategies for levodopa-induced psychosis in advanced Parkinson's disease have had limited success. Reduction or discontinuation of levodopa and coadministration with dopamine-blocking neuroleptics may attenuate the psychotic symptoms, but these strategies are associated with worsening of parkinsonian symptoms. Administration of 5-HT3 receptor antagonist ; ondansetron, a newer strategy to attenuate psychosis of Parkinson'disease without motor deterioration was introduced. A 41-year-old young-onset male, who was diagnosed as Parkinson's disease 7 years ago, was treated with levodopa therapy, and had levodopa-induced psychosis(delusion, hallucination, paranoid, insomnia). After trial of ondansetron, he showed improvement in the Brief Psychiatric Rating Scale(from 21 points to 9 points) in spite of increasing the dosage of levodopa. With ondansetron, we could increase the dosage of levodopa without psychotic complications(esp, hallucination), and he showed improvement in the motor fluctuation.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• Proceedings of the PSK Conference
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• 2000.10a
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• pp.279.1-279.1
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• 2000