A5073121688- Dementia and Cognitive Impairment Research
- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Cerebrovascular and Carotid Artery Diseases
- Advanced MRI Techniques and Applications
- Alzheimer's disease research and treatments
- Memory and Neural Mechanisms
- Neurological Disorders and Treatments
- Cardiovascular Health and Disease Prevention
- Traumatic Brain Injury and Neurovascular Disturbances
- Blood Pressure and Hypertension Studies
- Neurological Disease Mechanisms and Treatments
- Neural dynamics and brain function
Chung-Ang University Hospital
2018-2025
Chung-Ang University
2021-2024
Voice, reflecting cerebral functions, holds potential for analyzing and understanding brain function, especially in the context of cognitive impairment (CI) Alzheimer's disease (AD). This study used voice data to distinguish between normal cognition CI or dementia (ADD).
Abstract Background The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which affected by underlying pathomechanism. We explored the differences structurally functionally. Methods compared quantitative electroencephalography (qEEG) power spectra connectivity between 87 MCI patients with EF 78 RF using iSyncBrain® (iMediSync Inc., Republic of Korea) ( https://isyncbrain.com/ ). Voxel-based morphometric analysis gray matter...
Purpose: The purpose of this study is to compare and analyze the power spectral changes between subjective cognitive decline (SCD) subjects normal controls (NC) while checking preclinical stage AD in SCD use derived data for biomarker research that can diagnose early-stage future. Methods: We recruited 23 patients control QEEG analysis including density (PSD) source-level were performed. An automated preprocessing procedure statistical performed by iSync Brain ® (iMediSync Inc., Republic...
Electroencephalography (EEG) is a non-intrusive technique that provides comprehensive insights into the electrical activities of brain's cerebral cortex. The brain signals obtained from EEGs can be used as neuropsychological biomarker to detect different stages Alzheimer's disease (AD) through quantitative EEG (qEEG) analysis. This paper investigates difference in abnormalities resting state (rEEG) between eyes-open (EOR) and eyes-closed (ECR) AD by analyzing 19-scalp electrode making...
Introduction The study aims to use power spectrum changes in subjective cognitive decline (SCD) and amnestic mild impairment (aMCI), preclinical stages of Alzheimer's disease (AD), for future biomarker studies early AD diagnosis.
Transcranial doppler is a non-invasive method that measures the blood flow velocity and direction of cerebral vessels through principle. The pulsatility index an for measuring transcranial reflects distal vascular resistance used as presence diffusion small vessel diseases. purpose this study was to evaluate risk factors affecting basilar artery in ischemic stroke patients. From January 2014 May 2015, 422 patients were selected by index, considering their index. Univariate analysis performed...
Objective Neuropsychologists widely use the Rey–Osterrieth complex figure test (RCFT) as part of neuropsychological batteries to evaluate cognitive function and assess constructional ability, with age being most significant factor. Our study investigated a supervised machine learning (ML) algorithm predict brain gap using RCFT drawings from healthy elderly community for early dementia detection.Participants Methods 1,970 subjects (ages 45–90 years) were collected Korean community. We...
Background and Purpose: There are no highly sensitive biomarkers for epilepsy to date. Recently, promising results regarding functional connectivity analysis have been obtained, which may improve diagnosis even in the absence of visible abnormality electroencephalography. We aimed investigate differences after a first unprovoked seizure between patients diagnosed with within 1 year due subsequent seizures those who were not.Methods: compared quantitative electroencephalography power spectra...
There are no highly sensitive biomarkers for epilepsy to date. Recently, promising results regarding functional connectivity analysis have been obtained, which may improve diagnosis even in the absence of visible abnormality electroencephalography. We aimed investigate differences after a first unprovoked seizure between patients diagnosed with within 1 year due subsequent seizures and those who were not.We compared quantitative electroencephalography power spectra 12 (two or more seizures)...
Abstract Background: Memory impairments in mild cognitive impairment can be classified into encoding (EF) and retrieval (RF) failure. We explored differences between the two using quantitative electroencephalography (qEEG) magnetic resonance imaging volumetry. Methods: compared qEEG power spectra connectivity 87 participants with EF 78 RF, gray matter (GM) volume 71 controls. Demographic assessment results groups were Student’s t- tests, obtained features analyzed according to statistically...
Abstract Background: The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which affected by underlying pathomechanism. We explored the differences structurally functionally. Methods: compared quantitative electroencephalography (qEEG) power spectra connectivity between 87 MCI patients with EF 78 RF using iSyncBrain Ò (iMediSync, Inc., Korea) (https://isyncbrain.com/). Voxel-based morphometric analysis of gray matter (GM)...
Abstract Background: The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which affected by underlying pathomechanism. We explored the differences structurally functionally. Methods: compared quantitative electroencephalography (qEEG) power spectra connectivity between 87 MCI patients with EF 78 RF using iSyncBrain ™ (iMediSync, Inc., Korea) (https://isyncbrain.com/). Voxel-based morphometric analysis of gray matter (GM)...
Abstract Background: The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which affected by underlying pathomechanism. We explored the differences structurally functionally. Methods: compared quantitative electroencephalography (qEEG) power spectra connectivity between 87 MCI patients with EF 78 RF using iSyncBrain ™ (iMediSync, Inc., Korea) (https://isyncbrain.com/). Voxel-based morphometric analysis of gray matter (GM)...