Soon-Cheol Chung

Prof. Soon-Cheol Chung

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 June 2015 in Scientific Reports
Verified
Journal Article
Open access
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JJJae-Hoon Jun
Jae-Hoon Jun
JPJong-Rak Park
Jong-Rak Park
SKSung-Phil Kim
Sung-Phil Kim
YBYoung Min Bae
Young Min Bae
JPJang-Yeon Park
Jang-Yeon Park
SCSoon-Cheol Chung
Soon-Cheol Chung
Humans process a plethora of sensory information that is provided by various entities in the surrounding environment. Among the five major senses, technology for touch, haptics, is relatively young and has relatively limited applications largely due to its need for physical contact. In this article, we suggest a new way fornon-contacthaptic stimulation that useslaser, which has potential advantages such as mid-air stimulation, high spatial precision and long working distance. We demonstrate such tactile stimulation can be enabled by laser-induced thermoelastic effects by means of physical and perceptual studies, as well as simulations. In the physical study, the mechanical effect of laser on a human skin sample is detected using low-power radiation in accordance with safety guidelines. Limited increases (< ~2.5 °C) in temperature at the surface of the skin, examined by both thermal camera and the Monte Carlo simulation, indicate that laser does not evoke heat-induced nociceptive sensation. In the human EEG study, brain responses to both mechanical and laser stimulation are consistent, along with subjective reports of the non-nociceptive sensation of laser stimuli.

7 March 2007 in Physiological Measurement
Verified
Journal Article
Closed access
SCSoon-Cheol Chung
Soon-Cheol Chung
JKJi-Hun Kwon
Ji-Hun Kwon
HLHang-Woon Lee
Hang-Woon Lee
GTGye-Rae Tack
Gye-Rae Tack
BLBongsoo Lee
Bongsoo Lee
SLSoo-Yeol Lee
Soo-Yeol Lee
This study investigated the effect of 40% oxygen administration on n-back task performance, blood oxygen saturation and heart rate. Five male (25.8 +/- 1.3 years) and five female (23.0 +/- 1.0 years) college students were selected as the subjects for this study. The experiment consisted of two runs: one was an n-back task with normal air (21% oxygen) administered and the other was with hyperoxic air (40% oxygen) administered. The experimental sequence in each run consisted of Rest1 (1 min), 0-back task (1 min), 2-back task (2 min) and Rest2 (4 min). Blood oxygen saturation and heart rate were measured throughout the four phases. The results of the n-back behavioural analysis reveal that accuracy rates were enhanced with 40% oxygen administration compared to 21% oxygen. When 40% oxygen was supplied, blood oxygen saturation was increased and heart rate was decreased compared to that with 21% oxygen administration. It is suggested that 40% oxygen can stimulate brain activation by increasing actual blood oxygen concentration in the process of cognitive performance, and hyperoxia makes heart rate decrease. This result supports the hypothesis that 40% oxygen administration would lead to increases in n-back task performance.

21 March 2014 in BMC Neuroscience
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Journal Article
Open access
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YCYoon Gi Chung
Yoon Gi Chung
SHSang Woo Han
Sang Woo Han
HKHyung-Sik Kim
Hyung-Sik Kim
SCSoon-Cheol Chung
Soon-Cheol Chung
JPJang-Yeon Park
Jang-Yeon Park
Sung-Phil KimSung-Phil Kim
Sung-Phil Kim
Slow-adapting type I (SA-I) afferents deliver sensory signals to the somatosensory cortex during low-frequency (or static) mechanical stimulation. It has been reported that the somatosensory projection from SA-I afferents is effective and reliable for object grasping and manipulation. Despite a large number of neuroimaging studies on cortical activation responding to tactile stimuli mediated by SA-I afferents, how sensory information of such tactile stimuli flows over the somatosensory cortex remains poorly understood. In this study, we investigated tactile information processing of pressure stimuli between the primary (SI) and secondary (SII) somatosensory cortices by measuring effective connectivity using dynamic causal modeling (DCM). We applied pressure stimuli for 3 s to the right index fingertip of healthy participants and acquired functional magnetic resonance imaging (fMRI) data using a 3T MRI system.

1 December 2004 in Brain and Cognition
Verified
Journal Article
Closed access
SCSoon-Cheol Chung
Soon-Cheol Chung
GTGye-Rae Tack
Gye-Rae Tack
BLBongsoo Lee
Bongsoo Lee
GEGwang-Moon Eom
Gwang-Moon Eom
SLSoo-Yeol Lee
Soo-Yeol Lee
JSJin-Hun Sohn
Jin-Hun Sohn

26 January 2017 in Journal of Physiological Anthropology
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Journal Article
Open access
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MCMi-Hyun Choi
Mi-Hyun Choi
HKHyung-Sik Kim
Hyung-Sik Kim
HYHee-Jeong Yoon
Hee-Jeong Yoon
JLJung-Chul Lee
Jung-Chul Lee
JBJi-Hye Baek
Ji-Hye Baek
SCSoon-Cheol Chung
Soon-Cheol Chung
Several studies have used functional magnetic resonance imaging (fMRI) to show that neural activity is associated with driving. fMRI studies have also elucidated the brain responses associated with driving while performing sub-tasks. It is important to note that these studies used computer mouses, trackballs, or joysticks to simulate driving and, thus, were not comparable to real driving situations. In order to overcome these limitations, we used a driving wheel and pedal equipped with an MR-compatible driving simulator (80 km/h). The subjects drove while performing sub-tasks, and we attempted to observe differences in neuronal activation. The experiments consisted of three blocks and each block consisted of both a control phase (1 min) and a driving phase (2 min). During the control phase, the drivers were instructed to look at the stop screen and to not perform driving tasks. During the driving phase, the drivers either drove (driving only condition) or drove while performing an additional sub-task (driving with sub-task condition) at 80 km/h. Compared to when the drivers were focused only on driving, when the drivers drove while performing a sub-task, the number of activation voxels greatly decreased in the parietal area, which is responsible for spatial perception. Task-performing areas, such as the inferior frontal gyrus and the superior temporal gyrus, showed increased activation. Performing a sub-task simultaneously while driving had affected the driver’s driving. The cingulate gyrus and the sub-lobar region (lentiform nucleus, caudate, insula, and thalamus), which are responsible for error monitoring and control of unnecessary movements (e.g., wheel and pedal movements), showed increased activation during driving with sub-task condition compared to driving only condition. Unlike simple driving simulators (joysticks, computer mouses, or trackballs) used in previous research, the addition of a driving wheel and pedals (accelerator and brake) to the driving simulator used in this study closely represents real driving. Thus, the number of processed movements was increased, which led to an increased number of unnecessary movements that needed to be controlled. This in turn increased activation in the corresponding brain regions.

21 January 2015 in Frontiers in Human Neuroscience
Verified
Journal Article
Open access
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JKJunsuk Kim
Junsuk Kim
KMKlaus-Robert Müller
Klaus-Robert Müller
YCYoon Gi Chung
Yoon Gi Chung
SCSoon-Cheol Chung
Soon-Cheol Chung
JPJang-Yeon Park
Jang-Yeon Park
Sung-Phil KimSung-Phil Kim
Sung-Phil Kim
According to the hierarchical view of human somatosensory network, somatic sensory information is relayed from the thalamus to primary somatosensory cortex (S1), and then distributed to adjacent cortical regions to perform further perceptual and cognitive functions. Although a number of neuroimaging studies have examined neuronal activity correlated with tactile stimuli, comparatively less attention has been devoted toward understanding how vibrotactile stimulus information is processed in the hierarchical somatosensory cortical network. To explore the hierarchical perspective of tactile information processing, we studied two cases: (a) discrimination between the locations of finger stimulation, and (b) detection of stimulation against no stimulation on individual fingers, using both standard general linear model (GLM) and searchlight multi-voxel pattern analysis (MVPA) techniques. These two cases were studied on the same data set resulting from a passive vibrotactile stimulation experiment. Our results showed that vibrotactile stimulus locations on fingers could be discriminated from measurements of human functional magnetic resonance imaging (fMRI). In particular, it was in case (a) where we observed activity in contralateral posterior parietal cortex (PPC) and supramarginal gyrus (SMG) but not in S1, while in case (b) we found significant cortical activations in S1 but not in PPC and SMG. These discrepant observations suggest the functional specialization with regard to vibrotactile stimulus locations, especially, the hierarchical information processing in the human somatosensory cortical areas. Our findings moreover support the general understanding that S1 is the main sensory receptive area for the sense of touch, and adjacent cortical regions (i.e., PPC and SMG) are in charge of a higher level of processing and may thus contribute most for the successful classification between stimulated finger locations.