전소연 교수

Abstract Several epidemiological and preclinical studies supported the protective effect of coffee on Alzheimer’s disease (AD). However, it is still unknown whether coffee is specifically related with reduced brain AD pathologies in human. Hence, this study aims to investigate relationships between coffee intake and in vivo AD pathologies, including cerebral beta-amyloid (Aβ) deposition, the neurodegeneration of AD-signature regions, and cerebral white matter hyperintensities (WMH). A total of 4

OBJECTIVES: Exon 19 deletion and L858R mutation in exon 21 of the epidermal growth factor receptor (EGFR) are both common mutations that predict a good response to EGFR tyrosine kinase inhibitors in non-small cell lung cancer (NSCLC). However, the existence of clinically significant difference in sensitivity to EGFR tyrosine kinase inhibitors among different EGFR mutation subtypes is still a matter of debate. MATERIALS AND METHODS: The outcome of 60 EGFR mutation-positive advanced NSCLC patients

Complex regional pain syndrome (CRPS) is characterized by severe and chronic pain, but the pathophysiology of this disease are not clearly understood. The primary aim of our case-control study was to explore neuroinflammation in patients with CRPS using positron emission tomography (PET), with an 18-kDa translocator protein specific radioligand [C]-(R)-PK11195. [C]-(R)-PK11195 PET scans were acquired for 11 patients with CRPS (30-55 years) and 12 control subjects (30-52 years). Parametric image

This study aimed to investigate whether midlife cognitive activity and physical activity moderate the relationship between apolipoprotein E ε4 (APOE4) and in vivo Alzheimer’s disease (AD) pathologies. In total, 287 non-demented older adults (mean age 72 years) from the Korean Brain Aging Study for the Early diagnosis and prediction of Alzheimer’s disease cohort were included. Participants underwent a comprehensive clinical assessment including the evaluation for midlife CA and physical activity,

Aim The neurobiological substrates underlying the relationship of circadian rest‐activity rhythm (RAR) alteration with accelerated late‐life cognitive decline are not clearly understood. In the present study, the longitudinal relationship of objectively measured circadian RAR with in vivo Alzheimer disease (AD) pathologies and cerebrovascular injury was investigated in older adults without dementia. Methods The present study included 129 participants without dementia who participated in the KBAS

BACKGROUND: Being a spousal caregiver (SCG) for a patient with cognitive impairment is well known to be associated with increased risk for dementia and cognitive decline. OBJECTIVE: This study examined the impact of the care-recipient's cognitive status on lifestyle factors influencing cognitive decline in SCGs, focusing on nutritional status and blood biomarkers. METHODS: Fifty-one SCGs participated (mean age 73.5±7.0 years) in this study. All participants underwent clinical assessment includin

The DHAP regimen was associated with a significantly higher efficacy for stem cell mobilization and lower frequency of febrile neutropenia. Therefore, DHAP plus G-CSF is an effective for mobilization in patients with aggressive NHL who were candidates for up-front ASCT.

BACKGROUND: The caregiving burden of the spousal caregivers (SCGs) to individuals with cognitive impairment poses public health challenges with adverse psychosocial and physiological effects. However, few studies have investigated the neurobiological impact of caregiving, particularly through the investigation of neuroinflammation and neurodegeneration. METHODS: Using data from a longitudinal cohort at Chungnam National University Hospital, the relationship between caregiving burden, neuroinflam

The advent of anti-amyloid monoclonal antibody (mAb) therapies represents a paradigm shift in the treatment of Alzheimer's disease (AD), from symptomatic relief to disease modification. Lecanemab, a humanized mAb targeting soluble Aβ protofibrils and plaque, received regulatory approval in Korea in July 2024, following global randomized controlled trial data demonstrating its efficacy to reduce amyloid burden and slow cognitive decline. However, the introduction of such therapies into routine cl

INTRODUCTION: Appropriate Use Recommendations (AURs) guide real-world use of lecanemab and donanemab in early symptomatic Alzheimer's disease (AD), but their applicability to Asian populations with diverse education backgrounds remains unclear. METHODS: Among 2726 participants who visited a Korean memory clinic, 1005 amyloid-positive participants with magnetic resonance imaging (MRI) and Clinical Dementia Rating data were included. Eligibility for lecanemab and donanemab was assessed using AUR c

【Purpose: Many topical agents had been used for contaminated wound treatment. Although antimicrobial ointments were widely used as topical agents, their comparative antibacterial and wound healing effects were largely unreported. The purpose of this study was to compare antibacterial effects and wound healing effects of common topical ointments on infected full thickness skin defect in the mouse. Methods: One full thickness skin defects in the mice (n=60) were developed on the back and left open

BACKGROUND: Caring for individuals with cognitive impairment is demanding and may impact caregiver well-being. This study examined whether caregiving burden is linked to alterations in circadian rhythm of spousal caregivers (SCGs), using both objective and subjective measures. METHODS: A total of 104 SCGs were enrolled, of which 54 wore Fitbit devices to collect objective data on sleep-wake cycles and circadian heart rate rhythm (CHR). Subjective sleep quality was evaluated using the Pittsburgh

본 논문에서는 산업 시설에서 작업자의 안전을 실시간으로 감시하는 딥러닝 기반 영상 분석 시스템을 구현하는 데 목적을 둔다. 작업자의 복장을 안전모, 안전조끼, 안전벨트 착용 여부에 따라 총 여섯 가지의 클래스로 나누고, 총 5,307개의 영상을 학습데이터로 이용하였다. 실험은 속도와 정확도가 준수한 YOLO v4를 이용하였으며, 총 645장의 영상에 대해 학습 반복 수에 따른 가중치를 적용했을 때의 mAP를 비교함으로써 수행되었다. 학습 반복 수 6,000에서의 mAP가 60.13%로 제일 높았으며, 테스트셋이 가장 많은 클래스의 AP가 가장 높음을 확인하였다. 추후 데이터셋과 객체 검출 모델을 최적화함으로써, 정확도와 속도를 개선할 예정이다.The purpose of this paper is to implement a deep learning-based real-time video analysis algorithm that monitors safety of workers in in