Publications   : first author, *: corresponding author

2026

• [22] J. Chung, HR. Kim, ..., DE. Kim* (2026) Mapping Clinical Eloquence by Contrasting Overt vs. Covert Brain Infarcts. Submitted. [co-first author]

• [21] J. Chung, DS. Gwak, ..., DE. Kim* (2026) Occurrence of cerebral infarction, a threshold-sensitive nonlinear process: lessons from a new stroke model, NAIM. Journal of Cerebral Blood Flow & Metabolism, 0271678X261447117. [co-first author] [link]

• [20] J. Chung, H. Oh, DS. Gwak, DE. Kim* (2026) Multimodal Magnetic Resonance Imaging Signatures of White Matter Hyperintensities: Mechanistic Insights into Pathobiological Heterogeneity. Journal of Stroke, 28(1), 1-28. [co-first author] [link]

2025

• [19] H. Kim, M. Lee, ..., J. Chung, ..., WS. Ryu* (2025). Comparing two deep learning algorithms for acute infarct segmentation on diffusion-weighted imaging in routine clinical practice. Digital Health, 11, 20552076251396985. [link]

• [18] DS. Gwak, JS. Lee, …, J. Chung, …, DE. Kim* (2025). Effects of Combining Traditional East Asian and Conventional Western Medicine on Acute Stroke Outcomes. Journal of the American Heart Association, e043784. [link]

• [17] J. Chung, G. Park, …, DE. Kim* (2025). Distinct spatiotemporal patterns of white matter hyperintensity progression. Nature Communications, 16(1), 9360. [first author] [link]

• [16] HJ. Jang, J. Kim, …, J. Chung, …, DE. Kim* (2025). Inhibiting monocyte migration reduces arterial thrombosis and facilitates thrombolysis. Stroke. [link]

• [15] WS. Ryu, D. Schellingerhout, …, J. Chung, …, DE. Kim* (2025). Deep learning-based automatic segmentation of cerebral infarcts on diffusion MRI. Scientific reports, 15(1), 13214. [link]

• [14] DS. Gwak, J. Chung, …, DE. Kim* (2025). Mechanisms of how sarcopenia affects functional outcomes in acute ischaemic stroke. Brain Communications, 7(6), fcaf386. [link]

• [13] H. Kim, J. Chung, …, DE. Kim* (2025) Inhibition of nitric oxide synthase transforms carotid occlusion-mediated benign oligemia into de novo large cerebral infarction. Theranostics, 15(2), 585. [co-first author] [link]

2024

• [12] H. Kim, WS. Ryu, …, J. Chung, …, DE. Kim* (2024) Automated segmentation of MRI white matter hyperintensities in 8,421 patients with acute ischemic stroke. American Journal of Neuroradiology, 45(12), 1885-1894. [link]

• [11] DS. Gwak, WS. Ryu, …, J. Chung, …, DE. Kim* (2024). Effects of white matter hyperintensity burden on functional outcome after mild versus moderate-to-severe ischemic stroke. Scientific Reports, 14(1), 22567. [link]

• [10] JS. Lim, JJ. Lee, …, J. Chung, …, CW. Woo*, HJ. Bae* (2024). Subthreshold amyloid deposition, cerebral small vessel disease, and functional brain network disruption in delayed cognitive decline after stroke. Frontiers in Aging Neuroscience, 16, 1430408. [link]

2023

• [9] JS. Lim, KJ. Lee, …, J. Chung, …, DE. Kim*, HJ. Bae* (2023) Nonhypertensive White Matter Hyperintensities in Stroke: Risk Factors, Neuroimaging Characteristics, and Prognosis. Journal of the American Heart Association, 12(23), e030515. [link]

• [8] WS. Ryu, J. Chung, …, DE. Kim* (2023) Biological mechanism of sex difference in stroke manifestation and outcomes. Neurology, 100(24), e2490-e2503. [co-first author] [link]

• [7] HJ. Jang, D. Schellingerhout, J. Kim, J. Chung, DE. Kim* (2023) Towards a biomarker for acute arterial thrombosis using complete blood count and white blood cell differential parameters in mice. Scientific reports, 13(1), 4043. [link]

~ 2022

• [6] J. Chung, P. Lee, YB. Lee, K. Yoo, Y. Jeong* (2022) Nonuniformity of whole-cerebral neural resource allocation, a neuromarker of the broad-task attention. eNeuro, 9(2). [first author] [link]

• [5] M. Park, J. Chung, JK. Kim, Y. Jeong*, WJ. Moon* (2019) Altered functional brain networks in patients with traumatic anosmia: resting-state functional MRI based on graph theoretical Analysis. Korean J Radiol., 20(11), 1536-1545. [co-first author] [link]

• [4] M. Kang, YB. Lee, B. Gohel, K. Yoo, P. Lee, J. Chung, Y. Jeong* (2018) Momentary level of slow default mode network activity is associated with distinct propagation and connectivity patterns in the anesthetized mouse cortex. J Neurophysiol., 119, 441-458. [link]

• [3] J. Chung, K. Yoo, P. Lee, CM. Kim, JH. Roh, JE. Park, SJ. Kim, SW. Seo, JH. Shin, JK. Seong*, Y. Jeong* (2017) Normalization of cortical thickness measurements across different T1 magnetic resonance imaging protocols by novel W-Score standardization. NeuroImage, 159, 224-235. [first author] [link]

• [2] J. Chung, K. Yoo, E. Kim, DL. Na, Y. Jeong* (2016) Glucose Metabolic Brain Networks in Early-Onset vs. Late-Onset Alzheimer's Disease. Front. Aging Neurosci., 8, 159. [first author] [link]

• [1] ES. Lee, K. Yoo, YB. Lee, J. Chung, JE. Lim, B. Yoon*, Y. Jeong* (2016) Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment: Results from the Alzheimer’s Disease Neuroimaging Initiative. Alzheimer disease & Associated Disorders, 30, 208-296. [link]