• Genomics & Informatics
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• v.2 no.2
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• pp.81-85
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• 2004

To examine whether the IL-1A (-889) polymorphism associates with a risk for Alzheimer's disease (AD) and acts interactively with the apolipoprotein (APOE) $\epsilon$4 in the development of AD, we performed genotype analyses of the IL-1A and the APOE of the 102 Korean AD patients and 200 Korean non-demented controls. We failed to detect a significant difference in genotypic and allelic frequencies of IL-1A between the AD group and control group. No overexpression of the IL-1A C/T genotype and IL-1A T allele was found when we analyzed the late-onset and early-onset patients, separately. There was no significant genetic interaction between IL-1A polymorphism and the APOE polymorphism. I n conclusion, the IL-1A polymorphism did not contribute to the development of AD independently or interactively with the APOE $\epsilon$4 allele in Koreans.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.71-78
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• 2022

Parkinson's disease (PD) is clinically characterized by a variety of motor and non-motor symptoms, including cognitive and neuropsychiatric symptoms. Integrating a large variety of symptoms into a small number of clinical subtypes could be valuable for appropriate and early therapeutic intervention. As a first step toward this aim, this study attempted to identify correlation patterns among motor, cognitive and neuropsychiatric symptoms in PD without dementia. One hundred four non-demented patients with PD underwent a comprehensive motor, neuropsychological, and neuropsychiatric assessments. Factor analysis was performed to identify correlation patterns among demographic, motor, cognitive and neuropsychiatric variables. The eight factors were extracted: 1 motor-related, 3 cognitive-related and 4 neuropsychiatric factors. We indentified that characteristics of correlation can have associated symptom pattern in the disease process of Parkinson's disease. The current results suggest that a broad range of motor and non-motor symptoms in PD may be reducible to a small number of clinical parameters, which may be useful for identifying clinical subtypes of PD for individual patients.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.449-459
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• 2019

The purpose of this study was to evaluate the status of oral health care in dementia patients living in long-term care facilities and to investigate the effects of this on swallowing function and swallowing-quality of life. The subjects were 60 demented patients who were admitted to long-term care facilities in Gwangju and Jeonnam provinces. Their Oral Health Assessment Tool(OHAT), Clinical Dysphagia Scale(CDS), and Oral Health Impact Profile 14(OHIP-14) were measured. The results of this study were as follows: First, the effect of oral health care on dentition patients using long-term care facilities on swallowing function and swallowing-quality of life was significantly different according to oral care score (p<.05)(p<.01). Second, the relationship between oral health care and swallowing function of dementia patients and swallowing-quality of life. was examined. As a result, oral health care of dementia patients was affected by swallowing function (r=.405, p<.01) the swallowing-quality of life (r=.462, p<.01) and swallowing function were significantly correlated with swallowing-quality of life (r=.351, p<.01). Therefore, the oral health care of users of long-term care facilities was closely related to swallowing function and swallowing-quality of life.

• Korean Journal of Biological Psychiatry
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• v.4 no.1
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• pp.67-73
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• 1997

The changes of electroencephalogram(EEG) in patients with dementia are most commonly studied by analyzing power or magnitude in certain traditionally defined frequency bands. However because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to chaos theory, irregular signals of EEG can also result from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the correlation dimension. The authors have analyzed EEG epochs from three patients with dementia of Alzheimer type and three matched control subjects. The multichannel correlation dimension is calculated from EEG epochs consisting of 15 channels with 16,384 data points per channel. The results showed that patients with dementia of Alzheimer type had significantly lower correlation dimension than non-demented controls on 12 channels. Topographic analysis showed that the correlation dimensions were significantly lower in patients with Alzheimer's disease on frontal, temporal, central, and occipital head regions. These results show that brains of patients with dementia of Alzheimer type have a decreased complexity of electrophysiological behavior. We conclude that the nonlinear analysis such as calculating correlation dimension can be a promising tool for detecting relative changes in the complexity of brain dynamics.

• 한국노년학
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• v.36 no.3
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• pp.883-903
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• 2016

The purpose of the study is examining the mediation effect of caregiver burden's segmentalized sub factors between dementia caregivers on the relationship between Symptom extent of dementia patients and Suicidal Ideation of dementia caregiver, and suggesting social welfare intervention methods for dementia caregiver The survey is targeted to demented elderly people and caregivers, and currently using medical care institution and day care center in Seoul, Gyeonggi Province and Pusan city. As a result of the survey, 415 cases were collected for the final analysis. In data analysis process, we used SPSS 21.0 for the mediation effect of conversational satisfaction and its significance, and the results are following. First, 21% of the caregivers responded that they had thoughts of suicide in the past year. Second, Symptom extent of dementia patients was positively related to caregiver burden. Third, worse in family relationships, which is sub factors of mediate variable, has partial mediate effect on the model. Based on these outcomes, we suggest the importance and necessity of improved approach about dementia elderly and caregiver between elderly couple as way to reduce caregiver burden and proposed social work-based intervention program for enhancing this.

• Sleep Medicine and Psychophysiology
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• v.28 no.2
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• pp.78-85
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• 2021

Objectives: When elderly patients show depressive symptoms, discrimination between depressive disorder and prodromal phase of Alzheimer's disease is important. We tested whether a quantitative electroencephalogram (qEEG) marker was associated with cerebral amyloid-β (Aβ) deposition in older adults with depression. Methods: Non-demented older individuals (≥ 55years) diagnosed with depression were included in the analyses (n = 63; 76.2% female; mean age ± standard deviation 73.7 ± 6.87 years). The participants were divided into Aβ+ (n = 32) and Aβ- (n = 31) groups based on amyloid PET assessment. EEG was recorded during the 7min eye-closed (EC) phase and 3min eye-open (EO) phase, and all EEG data were analyzed using Fourier transform spectral analysis. We tested interaction effects among Aβ positivity, condition (EC vs. EO), laterality (left, midline, or right), and polarity (frontal, central, or posterior) for EEG alpha band power. Then, the EC-to-EO alpha reactivity index (ARI) was examined as a neurophysiological marker for predicting Aβ+ in depressed older adults. Results: The mean power spectral density of the alpha band in EO phase showed a significant difference between the Aβ+ and Aβ- groups (F = 6.258, p = 0.015). A significant 3-way interaction was observed among Aβ positivity, condition, and laterality on alpha-band power after adjusting for age, sex, educational years, global cognitive function, medication use, and white matter hyperintensities on MRI (F = 3.720, p = 0.030). However, post-hoc analyses showed no significant difference in ARI according to Aβ status in any regions of interest. Conclusion: Among older adults with depression, increased power in EO phase alpha band was associated with Aβ positivity. However, EC-to-EO ARI was not confirmed as a predictor for Aβ+ in depressed older individuals. Future studies with larger samples are needed to confirm our results.

• Korean Journal of Biological Psychiatry
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• v.5 no.1
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• pp.95-101
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• 1998

The changes of electroencephalogram(EEG) in patients with dementia of Alzheimer's type are most commonly studied by analyzing power or magnitude in traditionally defined frequency bands. However because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to the chaos theory, irregular signals of EEG can be also resulted from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the largest Lyapunov exponent($L_1$). The authors have analyzed EEG epochs from three patients with dementia of Alzheimer's type and three matched control subjects. The largest $L_1$ is calculated from EEG epochs consisting of 16,384 data points per channel in 15 channels. The results showed that patients with dementia of Alzheimer's type had significantly lower $L_1$ than non-demented controls on 8 channels. Topographic analysis showed that the $L_1$ were significantly lower in patients with Alzheimer's disease on all the frontal, temporal, central, and occipital head regions. These results show that brains of patients with dementia of Alzheimer's type have a decreased chaotic quality of electrophysiological behavior. We conclude that the nonlinear analysis such as calculating the $L_1$ can be a promising tool for detecting relative changes in the complexity of brain dynamics.

• The Korean Journal of Nuclear Medicine
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• v.28 no.3
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• pp.282-292
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• 1994

Brain perfusion SPECT shows typical regional perfusion abnormalities in Alzheimer's disease(AD) and is useful for its diagnosis. However, there is also arguement that these patterns show significant overlap with other causes, and the accuracy for SPECT in differentiating AD has shown conflicting results. We postulate that the variation in re-ported results are partly due to a difference in patient or control selection with special reference to the mixture of ischemic cerebral disease in the studied population. To deter-mine the effect of ischemic lesions and the nature of control subjects on SPECT studies for AD, we performed $^{99m}Tc$-HMPAO single photon emission computed tomography (SPECT) in 11 probable AD patients with a low (<4) Hachinski ischemic score and 12 non-demented age matched controls. Magnetic resonance imaging(MRI) disclosed ischemic cerebral lesions in 27% (3/11) of the PAD group and 25% (3/12) of the control group. Regional perfusion indices were quantitated from the SPECT images as follows and the distribution of perfusion indices from both groups were compared. This was repeated with controls after excluding those with significant ischemic lesions by MRI : regional perfusion index = average regional count/average cerebellar count All PAD patients showed perfusion abnormality in SPECT. However, 53% (10/12) of controls also showed perfusion at-normalities, and no pattern could reliably differentiate the two groups. After excluding controls with significant cerebral ischemia, the difference in temporal and parietal perfusion index was increased. A decreased tempore-parietal and any parietal or temporal per-fusion index had a sensitivity of 18% and 36% in detecting AD, respectively. When using a separate group of normal age mathced controls, the indices showed an even more difference in the temporal and parietal lobes and the sensitivity of a decreased tempore-parietal and any parietal or temporal perfusion index had a sensitivity of 36% and 55% in detecting AD, respectively. Thus, the type of control with special reference to the pres-once of ischemic cerebral lesions contribute significantly to the accuracy of perfusion SPECT in diagnosing AD. This nay have particular importance in the diagnosis of AD in populations where the prevalance of cerebrovascular disease is high.