• Journal of Korean Biological Nursing Science
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• v.22 no.3
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• pp.172-175
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• 2020

Purpose: The purpose of this paper is to provide nurses with a concise review on neurodegenrative dementias. This review includes pathophysiology, clinical course, and tips on management of dementias from Alzheimer's disease (AD), Parkinson disease (PD) and lewy body dementia (LBD). Considering increasing numbers of dementia cases among older adults, nurses who are cognizant about dementia care are instrumental in maximizing daily activities and quality of life of patients with cognitive impairment and dementia.

• Korean Journal of Clinical Pharmacy
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• v.28 no.4
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• pp.285-292
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• 2018

Background: Long-term levodopa therapy relieves the motor dysfunction associated with Parkinson's disease (PD), but has various effects on non-motor symptoms, including cognitive dysfunction, hallucinations, and affective disorders, and can exacerbate certain aspects of dementia-like cognitive dysfunction. Here, we investigated the relationship between levodopa treatment and development of dementia in patients with PD. Methods: This retrospective study analyzed 76 consecutive patients with PD who had taken levodopa between 2011 and 2015. The participants were initially free of dementia and had initial daily levodopa doses of below 600 mg. Patients who did and did not develop comorbid dementia were compared in terms of potential predictor variables, including PD onset age, sex, levodopa doses, and non-dementia comorbidities. Results: Of the 76 patients, 21 (27.6%) developed dementia, which was followed by hallucinations and insomnia. The independent predictors of incident dementia were PD onset age and second-year and third-year average levodopa doses that were higher than the first-year average levodopa dose. Patients who developed dementia had significantly higher average daily levodopa doses and levodopa dose increases over the 6-year treatment period than those who did not develop dementia. In addition, patients with higher levodopa doses were more likely to experience hallucinations. Conclusion: These results suggest that increases in levodopa doses may be associated with a greater risk of cognitive impairment in patients with PD. Therefore, motor and cognitive functions and levodopa dose increases should be evaluated regularly during long-term levodopa therapy in patients with PD.

• Sleep Medicine and Psychophysiology
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• v.7 no.2
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• pp.79-83
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• 2000

Sleep disturbances are frequently associated with neurological disorders. Sleep disorders interfere with rehabilitation of patients with neurological disorders such as stroke and may increase the severity of their symptoms and recurrence rate of stroke. The treatment of sleep apnea syndrome is particularly important in managing patients with cerebral infarction of whom 50-80% have moderate to severe sleep apnea. Sleep apnea produces not only poor quality sleep but also excessive daytime sleepiness, fatigue and lack of energy. Sleep problems frequently found in patients with dementia are sleep-wake cycle abnormality, fragmentation of sleep, nocturnal insomnia, decreased slow wave sleep and REM sleep, and sleep disordered breathing. The management of sleep disturbances is very important for controlling symptoms such as nocturnal wandering and sundowning syndrome in patients with dementia. Parkinson's disease and epilepsy are other neurological disorders that may have sleep disturbances.

• The Journal of Internal Korean Medicine
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• v.42 no.5
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• pp.833-845
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• 2021

Parkinson's syndrome is a degenerative brain disease that presents characteristic motor symptoms of tremor, rigidity, and gait disturbance. In addition to these motor symptoms, Parkinson's syndrome also presents non-motor symptoms (NMSs) such as sleep disturbance and cognitive decline. NMSs reduce patient's quality of life and psychosocial functioning and cause economic burden on the patient, so appropriate evaluation and treatment are required. Lewy body dementia is one of the several diseases belonging to Parkinson's syndrome. Its symptoms such as cognitive function, memory impairment, and hallucinations occur with Parkinsonism. Although drug therapy is being used with drug treatment to treat non-motor symptoms, it has limitations such as side effects, which stimulated interest in other complementary treatment methods such as oriental medicine treatment, dance, and yoga. The patient in this case complained of tremor in the right upper extremity, muscle hypertension and pain, and persistent vision, memory, and cognitive decline. The patient was diagnosed with probable Lewy body dementia. The patient was hospitalized for 4 months and received acupuncture and herbal medicines. After treatment, the patient's NMS scale scores decreased from 90 to 63, and the Unified Parkinson's Disease Rating Scale scores (summed I, II, and III) decreased from 17 points to 8 points. The Beck Depression Inventory score decreased from 22 points to 13 points. In addition, the patient's subjective evaluation revealed improvement. In this case, a patient diagnosed with probable Lewy body dementia who did not respond to the standard treatment and did not want to take medications showed improvement in not only motor symptoms but also NMSs after integrative Korean medicine treatment.

• BMB Reports
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• v.52 no.6
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• pp.349-359
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• 2019

After the first research declaring the generation of human induced pluripotent stem cells (hiPSCs) in 2007, several attempts have been made to model neurodegenerative disease in vitro during the past decade. Parkinson's disease (PD) is the second most common neurodegenerative disorder, which is mainly characterized by motor dysfunction. The formation of unique and filamentous inclusion bodies called Lewy bodies (LBs) is the hallmark of both PD and dementia with LBs. The key pathology in PD is generally considered to be the alpha-synuclein (${\alpha}$-syn) accumulation, although it is still controversial whether this protein aggregation is a cause or consequence of neurodegeneration. In the present work, the recently published researches which recapitulated the ${\alpha}$-syn aggregation phenomena in sporadic and familial PD hiPSC models were reviewed. Furthermore, the advantages and potentials of using patient-derived PD hiPSC with focus on ${\alpha}$-syn aggregation have been discussed.

• Journal of Korean Medical Science
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• v.33 no.47
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• pp.300.1-300.17
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• 2018

Parkinson's disease (PD) is the second most common neurodegenerative disorder. Although its major manifestation is motor symptoms, resulting from the loss of dopaminergic neurons in the substantia nigra, psychiatric symptoms, such as depression, anxiety, hallucination, delusion, apathy and anhedonia, impulsive and compulsive behaviors, and cognitive dysfunction, may also manifest in most patients with PD. Given that the quality of life - and the need for institutionalization - is so highly dependent on the psychiatric well-being of patients with PD, psychiatric symptoms are of high clinical significance. We reviewed the prevalence, risk factors, pathophysiology, and treatment of psychiatric symptoms to get a better understanding of PD for improved management.

• The Korean Journal of Food And Nutrition
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• v.33 no.6
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• pp.614-623
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• 2020

The objective of this study was to produce a nutrient delivery system (NDS) using sialic acid extracted from edible bird's nest (EBN), which improves brain function in patients with Alzheimer's disease and Parkinson's disease, by affinity bead technology (ABT). The inhibitory activity of acetylcholinesterase (AChE) and pyramidal cells in the dentate gyrus of the hippocampus were analyzed to investigate the effect of a sialic acid NDS on Alzheimer's disease. Also, the effect of a sialic acid NDS on Parkinson's disease was evaluated by rota-rod test and pole test in an animal model. Among the groups treated with donepezil, EBN, and sialic acid NDS, the AChE activity was the lowest in the sialic acid NDS-treated group. The results of the hippocampus analysis of the rat model confirmed that the sialic acid NDS inhibited amyloid-beta accumulation depending upon the concentration. Also, the sialic acid NDS group showed more improvement in motor deterioration than the1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced group in both the rota-rod test and pole test. Therefore, the sialic acid NDS had an effect of protecting not only Alzheimer's disease by inhibiting AChE and amyloid-beta accumulation, but Parkinson's disease by preventing neurotoxicity induced by MPTP.

• Dementia and Neurocognitive Disorders
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• v.21 no.3
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• pp.83-92
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• 2022

Telomeres are located at the end of chromosomes. They are known to protect chromosomes and prevent cellular senescence. Telomere length shortening has been considered an important marker of aging. Many studies have reported this concept in connection with neurodegenerative disorders. Considering the role of telomeres, it seems that longer telomeres are beneficial while shorter telomeres are detrimental in preventing neurodegenerative disorders. However, several studies have shown that people with longer telomeres might also be vulnerable to neurodegenerative disorders. Before these conflicting results can be explained through large-scale longitudinal clinical studies on the role of telomere length in neurodegenerative disorders, it would be beneficial to simultaneously review these opposing results. Understanding these conflicting results might help us plan future studies to reveal the role of telomere length in neurodegenerative disorders. In this review, these contradictory findings are thoroughly discussed, with the aim to better understand the role of telomere length in neurodegenerative disorders.

• Dementia and Neurocognitive Disorders
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• v.23 no.3
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• pp.161-163
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• 2024

• 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.