Jin-San Lee
Kyung Hee University · Medicine
About the Lab
Professor Jin-San Lee's research lab specializes in neuroimaging and computational neuroscience, focusing on identifying early biomarkers of neurodegenerative diseases such as Alzheimer’s disease and vascular dementia. The lab employs advanced machine learning and neuroimaging techniques—particularly high-resolution MRI and diffusion tensor imaging—to study individual differences in cortical atrophy, white matter integrity, and age-related brain changes. A central theme is understanding the interplay between lifestyle factors (e.g., physical exercise), genetic risk (e.g., APOE ε4), and cognitive resilience in aging. The lab also develops predictive models for cognitive decline, especially in mild cognitive impairment subtypes, aiming to enable early intervention strategies.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15To develop a new method for measuring Alzheimer's disease (AD)-specific similarity of cortical atrophy patterns at the individual-level, we employed an individual-level machine learning algorithm. A total of 869 cognitively normal (CN) individuals and 473 patients with probable AD dementia who underwent high-resolution 3T brain MRI were included. We propose a machine learning-based method for measuring the similarity of an individual subject's cortical atrophy pattern with that of a representati
Alzheimer's disease dementia (ADD) and subcortical vascular dementia (SVaD) both show cortical thinning and white matter (WM) microstructural changes. We evaluated different patterns of correlation between gray matter (GM) and WM microstructural changes in pure ADD, pure SVaD, and mixed dementia. We enrolled 40 Pittsburgh compound B (PiB) positive ADD patients without WM hyperintensities (pure ADD), 32 PiB negative SVaD patients (pure SVaD), 23 PiB positive SVaD patients (mixed dementia), and 56
We investigated the association between self-reported physical exercise and cortical thickness in a large sample of cognitively normal individuals. We also determined whether a combination of physical exercise and education had more protective effects on age-related cortical thinning than either parameter alone. A total of 1,842 participants were included in this analysis. Physical exercise was assessed using a questionnaire regarding intensity, frequency, and duration. Cortical thickness was me
To evaluate prediction models of cognitive trajectories in patients with nonamnestic mild cognitive impairment (naMCI) using group-based trajectory analysis, we evaluated 121 patients with naMCI who underwent at least their first three yearly assessments. Group-based trajectory models were used to classify cognitive trajectories based on Clinical Dementia Rating Sum of Boxes scores over four years in patients with naMCI. A total of 22 patients (18.2%) were classified into the "fast-decliners" gr
Our findings suggested that the precuneus and inferior temporal regions are the key regions in distinguishing between physiological and pathological brain aging. Attempts to differentiate age-related pathology from physiological brain aging at a very early stage would be important in terms of establishing new strategies for preventing accelerated pathological brain aging.
BACKGROUND/OBJECTIVE: In this study, we investigated a long-term trajectory of brain aging (from the 20 s to over-80) in cognitively normal (CN) individuals. We further determined whether differences in sex, education years, and apolipoprotein E ε 4 status affect age-related cortical thinning. METHODS: A total of 2,944 CN individuals who underwent high-resolution (3.0-Tesla) magnetic resonance imaging were included in this study. Cortical thickness was measured using a surface-based method. Mult
Objective: To investigate the association between plasma amyloid-β (Aβ) levels and neuropsychological performance in patients with cognitive decline using a highly sensitive nano-biosensing platform. Methods: We prospectively recruited 44 patients with cognitive decline who underwent plasma Aβ analysis, amyloid positron emission tomography (PET) scanning, and detailed neuropsychological tests. Patients were classified into a normal control (NC, n = 25) or Alzheimer’s disease (AD, n = 19) group b
Using biosensor to screen for Alzheimer's disease (AD) facilitates early detection of AD with high sensitivity and accuracy. This approach overcomes the limitations of conventional AD diagnostic methods, such as neuropsychological assessment and neuroimaging analysis. Here, we propose a simultaneous analysis of signal combinations generated by four crucial AD biomarkers (Amyloid beta 1–40 (Aβ 40 ), Aβ 42 , total tau 441 (tTau 441 ), and phosphorylated tau 181 (pTau 181 )) by inducing a dielectro
To evaluate the association between coronary artery calcium (CAC) and cortical thickness in a large sample of cognitively normal individuals, with special emphasis in determining if the association thickness has regional brain specificity and if it is mediated by white matter hyperintensities (WMH). A total of 512 participants were included in this study. CAC scores were assessed by multi-detector computed tomography. Cortical thickness was measured using a surface-based method. Linear mixed mod
Screening of cerebral amyloid angiopathy and Alzheimer's disease by analyzing plasma amyloid-β using a highly sensitive dielectrophoretic force-driven biosensor platform.
We investigated the frequency and clinical significance of diagonal earlobe crease (DELC) in cognitively impaired patients using imaging biomarkers, such as white matter hyperintensities (WMH) on MRI and amyloid-β (Aβ) PET. A total of 471 cognitively impaired patients and 243 cognitively normal (CN) individuals were included in this study. Compared with CN individuals, cognitively impaired patients had a greater frequency of DELC (OR 1.6, 95% CI 1.1-2.2, P = 0.007). This relationship was more pr
The prognosis is worse for D-type than for those with F-type. Shorter survival in D-type may be associated with the earlier appearance of motor symptoms.
<h3>Objective</h3> To investigate the association between <i>APOE</i> genotype and β-amyloid (Aβ) burden, as measured by PET in patients with subcortical vascular cognitive impairment (SVCI) and those with Alzheimer disease–related cognitive impairment (ADCI). <h3>Methods</h3> This was a cross-sectional study of 310 patients with SVCI and 999 with ADCI. To evaluate the effects of <i>APOE</i> genotype or diagnostic group on Aβ positivity, we performed multivariate logistic regression analyses. Fu
Infliximab, a chimeric monoclonal antibody against anti-tumor necrosis factor-α (TNF-α), has revolutionized the management of inflammatory bowel disease. However, a recent nested case-control study showed that anti-TNF-α therapy exposure in patients with autoimmune diseases is associated with an increased risk of inflammatory central nervous system (CNS) events. A 27-year-old man diagnosed with Crohn's disease at 17 years of age was referred to our clinic for suffering with Wernicke's aphasia an
Research Areas
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