4 results match your criteria: "Ulsan National Institute of Science and TechnologyUlsan[Affiliation]"
Front Hum Neurosci
September 2017
Department of Human Factors Engineering, Ulsan National Institute of Science and TechnologyUlsan, South Korea.
Our previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis (MVPA) on the same dataset.
View Article and Find Full Text PDFFront Neurosci
August 2017
Department of Physical Therapy and Rehabilitation Science and Department of Orthopaedics, University of MarylandBaltimore, MD, United States.
Among the potential biological signals for human-machine interactions (brain, nerve, and muscle signals), electromyography (EMG) widely used in clinical setting can be obtained non-invasively as motor commands to control movements. The aim of this study was to develop a model for continuous and simultaneous decoding of multi-joint dynamic arm movements based on multi-channel surface EMG signals crossing the joints, leading to application of myoelectrically controlled exoskeleton robots for upper-limb rehabilitation. Twenty subjects were recruited for this study including 10 stroke subjects and 10 able-bodied subjects.
View Article and Find Full Text PDFFront Hum Neurosci
January 2017
Brain-Computer Interface Lab, Department of Human Factors Engineering, Ulsan National Institute of Science and Technology Ulsan, South Korea.
While the perception of stickiness serves as one of the fundamental dimensions for tactile sensation, little has been elucidated about the stickiness sensation and its neural correlates. The present study investigated how the human brain responds to perceived tactile sticky stimuli using functional magnetic resonance imaging (fMRI). To evoke tactile perception of stickiness with multiple intensities, we generated silicone stimuli with varying catalyst ratios.
View Article and Find Full Text PDFFront Cell Neurosci
May 2016
Department of Biological Sciences, School of Life Sciences, Ulsan National Institute of Science and Technology Ulsan, South Korea.
The polarized structure and long neurites of neurons pose a unique challenge for proper mitochondrial distribution. It is widely accepted that mitochondria move from the cell body to axon ends and vice versa; however, we have found that mitochondria originating from the axon ends moving in the retrograde direction never reach to the cell body, and only a limited number of mitochondria moving in the anterograde direction from the cell body arrive at the axon ends of mouse hippocampal neurons. Furthermore, we have derived a mathematical formula using the Fokker-Planck equation to characterize features of mitochondrial transport, and the equation could determine altered mitochondrial transport in axons overexpressing parkin.
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