• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.765-767
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• 2016

Since the population aging process occurs very quickly, and the population who has a dementia is also increasing significantly faster. Because there is no complete cure of dementia it is very important to detect the disease at an early stage and prevent the spread of disease through evaluation of MCI. As the assessment of MCI conducts only in the form of hand-written data, there are some limitations in using derived data. Therefore it requires a system of analysis and storage of the data able to integrate and manage the data. The research conducted in this paper is aimed to develop a system to analyze and store the MCI evaluation data.

• Journal of Multimedia Information System
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• v.8 no.4
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• pp.233-242
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• 2021

Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.523-525
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• 2022

According to Elderly Long-term Care Insurance, MCI people can be provided cognitive program at dementia center and daycare center. However, the appropriate definition or guideline of cognitive program is not clear. Considering the situation of adapting VR program at diverse elderly facilities, this paper aims to analysis of VR usability at daycare center. Usability is divided into two section; one is intimacy and the other is usage possibility. In both section, high rate is recorded. Development of VR cognitive program is needed afterwards.

• Genomics & Informatics
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• v.21 no.3
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• pp.28.1-28.13
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• 2023

Mild cognitive impairment (MCI) is a clinical syndrome characterized by the onset and evolution of cognitive impairments, often considered a transitional stage to Alzheimer's disease (AD). The genetic traits of MCI patients who experience a rapid progression to AD can enhance early diagnosis capabilities and facilitate drug discovery for AD. While a genome-wide association study (GWAS) is a standard tool for identifying single nucleotide polymorphisms (SNPs) related to a disease, it fails to detect SNPs with small effect sizes due to stringent control for multiple testing. Additionally, the method does not consider the group structures of SNPs, such as genes or linkage disequilibrium blocks, which can provide valuable insights into the genetic architecture. To address the limitations, we propose a Bayesian bi-level variable selection method that detects SNPs associated with time of conversion from MCI to AD. Our approach integrates group inclusion indicators into an accelerated failure time model to identify important SNP groups. Additionally, we employ data augmentation techniques to impute censored time values using a predictive posterior. We adapt Dirichlet-Laplace shrinkage priors to incorporate the group structure for SNP-level variable selection. In the simulation study, our method outperformed other competing methods regarding variable selection. The analysis of Alzheimer's Disease Neuroimaging Initiative (ADNI) data revealed several genes directly or indirectly related to AD, whereas a classical GWAS did not identify any significant SNPs.

• Imaging Science in Dentistry
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• v.34 no.1
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• pp.25-30
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• 2004

Purpose: Several panoramic indices have been suggested to assess bone quality from the morphology and width of mandibular cortex on panoramic radiography. The purpose of this study was to compare dental implant failure group with control group in panoramic mandibular index (PMI), mandibular cortical index (MCI), and gonion index (GI) and to determine the effect of these panoramic indices on dental implant failure. Materials and Methods: A case-control study was designed. Test group (n=42) consisted of the patients who had their implants extracted because of peri-implantitis. Control group (n=139) consisted of the patients who retained their implants over one year without any pathologic changes and had been followed up periodically. They had dental implants installed in their mandibles without bone augmentation surgery from 1991 to 2001. The following measures were collected for each patients: 1) PMI, MCI, and GI were measured twice at one-week interval on preoperative panoramic views; and 2) age, sex, implant length, implant type, installed location, occluding dentition state, and complication were investigated from the chart record. Results: The PMI showed moderate level of repeatability. The intra-observer agreement of MCI and GI were good. There was statistically significant difference in PMI between two groups. There were significant different patterns of distribution of MCI and GI between two groups. Among the panoramic indices, PMI and MCI showed significant correlation with dental implant failure. Conclusion: Panoramic indices can be used as reference data in estimating bone quality of edentulous patients who are to have implants installed in their mandibles.

• Korean Journal of Biological Psychiatry
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• v.22 no.4
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• pp.223-232
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• 2015

Objectives In this study, the authors evaluated the correlation between levels of serum lipid, homocysteine, and folate with volumes of hippocampus, amygdala, corpus callosum, and in patients with amnestic mild cognitive impairment (aMCI) or Alzheimer's disease (AD) type. Methods The study recruited patients who visited the dementia clinic of Haeundae Paik Hospital in Korea between March 2010 and June 2014. Among those, patients who had taken the neurocognitive test, brain magnetic resonance imaing, tests for serum lipid, homocysteine, folate, and apolipoprotein E (APOE) genotyping and diagnosed with aMCI or AD were included for analysis. Bilateral hippocampus, entorhinal cortex, amygdala and corpus callosum were selected for region of interest (ROI). The cross-sectional relationships between serum lipid, homocysteine, folate and ROI were assessed by partial correlation analysis and multiple linear regression analysis. Results In patients with aMCI, old age (> 80) and APOE ${\varepsilon}4$ carrier were associated with AD [odds ration (OR) : 12.80 ; 95% confidence interval (CI) : 2.25-72.98 and OR : 4.48 ; 95% CI : 1.58-12.67, respectively]. In patients with aMCI or AD, volumes and thickness of ROI were inversely correlated with levels of serum lipid and homocysteine. In multiple linear regression analyses, higher total cholesterol level was related to lower left, right hippocampus volume and left amygdala volume ; higher low-density lipoprotein cholesterol was related to lower right entorhinal cortex thickness ; higher homocysteine level was related to lower corpus callosum volume. Conclusions Higher serum lipid and homocysteine levels are associated with decreased volume of hippocampus, amygdala, corpus callosum and entorhinal cortex thickness in patients with aMCI or AD. These findings suggest that serum lipid and homocysteine levels are associated with AD as a modifiable risk factor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7414-7423
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• 2015

Subjective cognitive-linguistic complaints in older adults contribute to the diagnostic and prognostic investigation of MCI or dementia. However, the utility of subjective test for predicting cognitive-linguistic decline is controversial. Few domestic studies have included the correlation between subjective and objective tests systematically. The current study analyzed 26 studies published since 2000, and the effect sizes of their correlation coefficients between two tests were computed. The results of qualitative analysis indicated that the number of subjects ranged from 26 to 657. Subjective tests included the self-report 75.4% and the informant-report 24.6%. In objective tests, memory comprised the largest proportion, followed by global cognition, and language, etc. As a result of meta-analysis, self-report test had the predictive value for dementia, and informant-report test contributed to discriminate among 3 groups. In the elderly group, self-report test was correlated with reasoning, and informant-report test with memory and language. In MCIs, self-report test predicted several abilities including language, and informant-report test signaled the future decline of domains like global cognition. Two types of subjective tests in dementia also represented memory, language, and global cognition accurately. This study provides evidence-based information to support relationships between subjective and objective tests for cognitive-linguistic ability in 3 groups.

• Therapeutic Science for Rehabilitation
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• v.10 no.4
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• pp.81-94
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• 2021

Objective : Response time plays a prominent part in research on cognitive ability and the aging effect. This study aimed to identify the impact of cognitive ability on information processing by conducting cognitive response time (CRT) using a computer program. Methods : This study was conducted in 30 normal elderly (NE) and 30 elderly with amnestic MCI (aMCI), aged 65-79 years old living in Daegu and Gyeongbuk. The results were analyzed using the statistical analysis program R 4.0.2 (University of Auckland, New Zealand). Results : In the three sub-areas of CRT, the total response time showed a significant difference depending on group or age, and the error rate showed a significant difference depending on age or group in some sub-areas. In the aMCI group, the performance of CRT significantly correlated with that of the overall cognition and memory test. Conclusion : Information processing depending on aging or cognitive ability and the differential performance of processing speed could be observed through CRT. The performance of this test was found to be significantly correlated with that of the overall cognition and memory test. Therefore, CRT could be used meaningfully as a simplified tool to predict the initial cognitive disorder of the elderly in the community.

• Journal of Music and Human Behavior
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• v.14 no.2
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• pp.1-18
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• 2017

The relationships between the ability to understand changes in meaning depending on the prosody of spoken words and the ability to perceive pitch and melodic contour in cochlear implants (CI) recipients were examined. Fifteen postlingual CI recipients were measured in terms of speech prosody perception, speech perception, pitch discrimination (PD), and melody contour identification (MCI). The speech prosody perception test consists of words with positive (PW) and neutral meaning (NW). Participants were asked to identify the meaning of words depending on the conditions of positive and negative prosody. The MCI consists of subtests 1 and 2 with different chance levels to choose. Then, the relationships between speech prosody perception, speech perception, PD, and MCI performance were analyzed. There was a significant difference in identifying the meaning of words expressed in a different prosody between the PW and NW conditions. Speech prosody perception showed a significant correlation with MCI 1 while there was no significant relationship with speech perception. Although speech perception may be possible after CI, limited spoken word comprehension due to decreased sensitivity for prosodic changes may persist in CI recipients. In addition, there was a limitation in perception of melodic contour change compared to pitch discrimination, which is related to speech prosody perception.

• 한국의학학술지인용정보
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• s.2002
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• pp.313-314
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• 2003