Korea Advanced Institute of Science and Technology · 医学
Professor Yong Jeong's research lab specializes in neuroimaging and brain network analysis, focusing on the functional and metabolic alterations in neurodegenerative diseases such as frontotemporal dementia (FTD), Alzheimer’s disease, and subcortical vascular dementia (SVaD). The lab employs advanced neuroimaging techniques—including (18)F-FDG PET and resting-state fMRI—to investigate disease-specific patterns of hypometabolism, default mode network (DMN) disruption, and individualized brain connectivity. A key methodological innovation in the lab is the development of subject-specific region-of-interest (ROI) approaches to improve the accuracy of functional connectivity analysis. The lab also contributes to preclinical modeling by creating translational mouse models of SVaD to study the pathophysiology of chronic cerebral hypoperfusion and white matter damage.
Figures are computed from collected data and may differ slightly.
The voxel-wise analysis of (18)F-FDG PET images of patients with FTD revealed hypometabolism in extensive cortical regions, such as frontal and anterior temporal areas, cingulate gyri, uncus, and insula and subcortical areas, including basal ganglia (putamen and globus pallidus) and medial thalamic regions. The hemispheric asymmetry of hypometabolism (more frequently lateralized to the left) was common in patients with FTD, which may be another metabolic feature that helps to differentiate FTD f
Our results suggest that the breakdown of DMN connectivity may occur in the early stage of MCI.
The differences in how our brain is connected are often thought to reflect the differences in our individual personalities and cognitive abilities. Individual differences in brain connectivity has long been recognized in the neuroscience community however it has yet to manifest itself in the methodology of resting state analysis. This is evident as previous studies use the same region of interest (ROIs) for all subjects. In this paper we demonstrate that the use of ROIs which are standardized ac
Frontotemporal dementia (FTD) often coexists with motor neuron disease (MND). To characterize glucose hypometabolism in patients with FTD with MND (FTD/MND), the authors compared the glucose metabolism of 8 patients with FTD/MND with that of 29 patients with FTD. All of the patients with FTD/MND showed glucose hypometabolism only in the frontal area, whereas most patients with FTD had hypometabolism in the frontal and temporal areas. FTD/MND also showed a more symmetric pattern of glucose hypome
Subcortical vascular dementia(SVaD) is associated with white matter damage, lacunar infarction, and degeneration of cerebral microcirculation. Currently available mouse models can mimic only partial aspects of human SVaD features. Here, we combined bilateral common carotid artery stenosis (BCAS) with a hyperlipidaemia model in order to develop a mouse model of SVaD; 10- to 12-week-old apolipoprotein E (ApoE)-deficient or wild-type C57BL/6J mice were subjected to sham operation or chronic cerebra
Jeong, Y.H.; Yang, J.S., and Park, K., 2014. Changes in water quality after the construction of an estuary dam in the Geum River Estuary Dam system, Korea.We investigated long-term (1985–2009) changes in water quality due to the construction of an estuary dam in the Geum River Estuary Dam System, Korea. Both the upstream reservoir and downstream estuarine sides of the dam were examined. Water quality conditions for nutrients and chlorophyll a (Chl-a) have deteriorated considerably since the dam
We investigate the changes in functional connectivity of the left and right hippocampus by comparing the resting-state low-frequency fluctuations in the blood oxygen level-dependent signal from these regions with relation to Alzheimer disease (AD) progression. AD patients were divided into subgroups based on the clinical dementia rating (CDR) scores. Patients with amnestic mild cognitive impairment (aMCI) were also analyzed as an intermediate stage between normal controls and AD. We found that t
Open papers in the app to read, cite, and organize with AI.
