Jaeseung Jeong

Korea Advanced Institute of Science and Technology

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Jerald D. Kralik

Korea Advanced Institute of Science and Technology

Soo Yong Kim

Pukyong National University

Charles-Francois V. Latchoumane

University of Georgia

Dai‐Jin Kim

Catholic University of Korea

Bradley S. Peterson

Children's Hospital of Los Angeles

Kwangyeol Baek

Pusan National University

Dongil Chung

Ulsan National Institute of Science and Technology

Jeong‐Ho Chae

Catholic University of Korea

Kyongsik Yun

California Institute of Technology

Andrzej Cichocki

Systems Research Institute

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Korea Advanced Institute of Science and Technology

150

Seoul National University

Catholic University of Korea

Yonsei University

Korea University

Harvard University

Centre National de la Recherche Scientifique

Seoul National University Hospital

Sungkyunkwan University

Korea Institute of Brain Science

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Correlation of risk-taking propensity with cross-frequency phase–amplitude coupling in the resting EEG

Clinical Neurophysiology (2013)

Jaewon Lee Jaeseung Jeong

Neurophysiology

Affect

10.1016/j.clinph.2013.05.007

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Citations (17)

Slowing and Loss of Complexity in Alzheimer′s EEG: Two Sides of the Same Coin?

International Journal of Alzheimer s Disease (2011)

Justin Dauwels K. Srinivasan M. Ramasubba Reddy Toshimitsu Musha François Vialatte

Medical studies have shown that EEG of Alzheimer's disease (AD) patients is "slower" (i.e., contains more low-frequency power) and is less complex compared to age-matched healthy subjects. The relation between those two phenomena has not yet been studied, and they are often silently assumed to be independent. In this paper, it is shown that both phenomena are strongly related. Strong correlation between slowing and loss of complexity is observed in two independent EEG datasets: (1) EEG of predementia patients (a.k.a. Mild Cognitive Impairment; MCI) and control subjects; (2) EEG of mild AD patients and control subjects. The two data sets are from different patients, different hospitals and obtained through different recording systems. The paper also investigates the potential of EEG slowing and loss of EEG complexity as indicators of AD onset. In particular, relative power and complexity measures are used as features to classify the MCI and MiAD patients versus age-matched control subjects. When combined with two synchrony measures (Granger causality and stochastic event synchrony), classification rates of 83% (MCI) and 98% (MiAD) are obtained. By including the compression ratios as features, slightly better classification rates are obtained than with relative power and synchrony measures alone.

10.4061/2011/539621

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Citations (177)

Non-linear dynamical analysis of the EEG in Alzheimer's disease with optimal embedding dimension

Electroencephalography and Clinical Neurophysiology (1998)

Jaeseung Jeong Soo Yong Kim S. Duke Han

Correlation dimension

10.1016/s0013-4694(97)00079-5

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Citations (138)

Early Diagnosis of Alzheimer's Disease and Parkinson's Disease Associated with Dementia Using Cerebral Perfusion SPECT

Dementia and Geriatric Cognitive Disorders (2013)

In‐Uk Song Yong‐An Chung Sung‐Woo Chung Jaeseung Jeong

Background: Since patterns of cognitive dysfunction in mild Parkinson's disease associated with dementia (PDD) are similar to those in mild Alzheimer's disease (AD), it is difficult to accurately differentiate between these two types of dementia in their early phases using neuropsychological tests. The purpose of the current study was to investigate differences in cerebral perfusion patterns of patients with AD and PDD at the earliest stages using single photon emission computed tomography (SPECT). Methods: We consecutively recruited 31 patients with mild PDD, 32 patients with mild probable AD and 33 age-matched healthy subjects. All subjects underwent 99mTc-hexamethylpropyleneamine oxime perfusion SPECT and completed general neuropsychological tests. Results: We found that both mild PDD and AD patients showed distinct hypoperfusion in frontal, parietal and temporal regions, compared with healthy subjects. More importantly, hypoperfusion in occipital and cerebellar regions was observed only in mild PDD. Conclusion: The observation of a significant decrease in cerebral perfusion in occipital and cerebellar regions in patients with mild PDD is likely useful to differentiate between PDD and AD at the earliest stages.

Vascular dementia

10.1159/000357128

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Citations (19)

Possible role of stochastic resonance in the integrate-fire model of neurons

Jaeseung Jeong Soo Yong Kim

Stochastic Resonance

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Different Network Structure and Complex Network Properties in Brain Image of Developing AD

Jaeseung Jeong Hyoungkyu Kim Seong-Kyun Kim

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Emotion based reward valuation, prediction, and learning

Seung‐Yeon Kim Kyongsik Yun Jaeseung Jeong

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Decreased Phase Synchronization of the EEG in Patients with Major Depressive Disorder

Springer eBooks (2007)

Chan-A Park Ryuk-Jun Kwon Seungyeon Kim Hyeran Jang Jeong‐Ho Chae

Alpha (finance)

Phase synchronization

10.1007/978-3-540-36841-0_262

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Citations (25)

Evidence for Abnormal Cortical Functional Connectivity by Acute Alcohol Administration in Healthy Subjects

Seong-Kyun Kim Dai‐Jin Kim Jaeseung Jeong

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Modulation of theta phase synchronization in the human electroencephalogram during a recognition memory task

Neuroreport (2012)

Sung-Phil Kim Jae-Hwan Kang Seong-Hyun Choe Ji Woon Jeong Hyun Taek Kim

To the extent that recognition memory relies on interactions among widely distributed neural assemblies across the brain, phase synchronization between brain rhythms may play an important role in meditating those interactions. As the theta rhythm is known to modulate in power during the recognition memory process, we aimed to determine how the phase synchronization of the theta rhythms across the brain changes with recognition memory. Fourteen human participants performed a visual object recognition task in a virtual reality environment. Electroencephalograms were recorded from the scalp of the participants while they either recognized objects that had been presented previously or identified new objects. From the electroencephalogram recordings, we analyzed the phase-locking value of the theta rhythms, which indicates the degree of phase synchronization. We found that the overall phase-locking value recorded during the recognition of previously viewed objects was greater than that recorded during the identification of new objects. Specifically, the theta rhythms became strongly synchronized between the frontal and the left parietal areas during the recognition of previously viewed objects. These results suggest that the recognition memory process may involve an interaction between the frontal and the left parietal cortical regions mediated by theta phase synchronization.

Phase synchronization

10.1097/wnr.0b013e328354afed

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Citations (21)