Global-Leading Research and Education in Brain and Cognitive engineering KOREA UNIVERSITY To understand the structure and the key principles of high-order information processing by which brains work,
and to implement these in artificial systems that interact intelligently with real world

Research Highlight

Research
Prof. Dong-Joo Kim`s paper accepted in Brain Structure & Function
Author Administrator (IP: *.152.74.116) Date 2015-06-15 17:01 Views 1,018
원본사진보기

Prof. Dong-Joo Kim`s new research on `Finite element analysis for normal pressure hydrocephalus: the effects of the integration of sulci` was accepted in Medical Image Analysis.
 
Title: Finite element analysis for normal pressure hydrocephalus: the effects of the integration of sulci
 
Abstract: Finite element analysis (FEA) is increasingly used to investigate the brain under various pathological changes. Although FEA has been used to study hydrocephalus for decades, previous studies have primarily focused on ventriculomegaly. The present study aimed to investigate the pathologic changes regarding sulcal deformation in normal pressure hydrocephalus (NPH).
Two finite element (FE) models—an anatomical brain geometric (ABG) model and the conventional simplified brain geometric (SBG) model—of NPH were constructed. The models were constructed with identical boundary conditions but with different geometries. The ABG model contained details of the sulci geometry, whereas these details were omitted from the SBG model. The resulting pathologic changes were assessed via four biomechanical parameters: pore pressure, von Mises stress, pressure, and void ratio. NPH was induced by increasing the transmantle pressure gradient (TPG) from 0 to a maximum of 2.0 mmHg.
Both models successfully simulated the major features of NPH (i.e., ventriculomegaly and periventricular lucency). The changes in the biomechanical parameters with increasing TPG were similar between the models. However, the SBG model underestimated the degree of stress across the cerebral mantle by 150% compared with the ABG model. The SBG model also overestimates the degree of ventriculomegaly (increases of 194.5% and 154.1% at TPG = 2.0 mmHg for the SBG and ABG models, respectively).
Including the sulci geometry in a FEA for NPH clearly affects the overall results. The conventional SBG model is inferior to the ABG model, which accurately simulated sulcal deformation and the consequent effects on cortical or subcortical structures. The inclusion of sulci in future FEA for the brain is strongly advised, especially for models used to investigate space-occupying lesions.

File thumb.gif(10.9K)


Research
Prof. Seong-Whan Lee`s paper accepted in IEEE Transactions on Neural Systems and Rehabilitation Engineering
Prof. Seong-Whan Lee`s paper accepted in IEEE Transactions on Neural Systems and…
Prof. Seong-Whan Lee`s new research on `Commanding a Brain-Controlled Wheelchair using Steady-State Somatosensory Evoked Potentials` was accepted in IEEE Transactions on Neural Systems and Rehabilitation Engineering.Title: Commanding a Brain-Controlled Wheelchair using Steady-State Somatosensory Evoked Potentials Abstract: In this work, we propose a novel brain-controlled wheelchair, one of the major applications of brain-machine interf…

2016-05-27

Prof. Jae-Ho Han`s paper accepted in IEEE/OSA Journal of Lightwave Technology
Prof. Jae-Ho Han`s paper accepted in IEEE/OSA Journal of Lightwave Technology
Prof. Jae-Ho Han`s new research on `In vitro Monitoring of a Cultured Human Retinal Pigment Epithelium Using 1,375-nm Spectral Domain Optical Coherence Tomography` was accepted in IEEE/OSA Journal of Lightwave Technology.Title: In vitro Monitoring of a Cultured Human Retinal Pigment Epithelium Using 1,375-nm Spectral Domain Optical Coherence TomographyAbstract: Measurement of cell number is important in cell-based in vitro screenings for the…

2016-05-27

Prof. Heung-Il Suk`s paper accepted in NeuroImage
Prof. Heung-Il Suk`s paper accepted in NeuroImage
Prof. Heung-Il Suk`s new research on `State-Space Model with Deep Learning for Functional Dynamics Estimation in Resting-State fMRI` was accepted in NeuroImage.Title: State-Space Model with Deep Learning for Functional Dynamics Estimation in Resting-State fMRIAbstract: Studies on resting-state functional Magnetic Resonance Imaging (rs-fMRI) have shown that different brain regions still actively interact with each other while a subject is at rest, and …

2016-01-05

Prof. Seong-Whan Lee`s paper accepted in IEEE Transactions on Neural Systems and Rehabilitation Engineering
Prof. Seong-Whan Lee`s paper accepted in IEEE Transactions on Neural Systems and…
Prof. Seong-Whan Lee`s new research on `Position-Independent Decoding of Movement Intention for Proportional Myoelectric Interfaces` was accepted in IEEE Transactions on Neural Systems and Rehabilitation Engineering.Title: Position-Independent Decoding of Movement Intention for Proportional Myoelectric Interfaces Abstract: For the decade, myoelectric interfaces based on pattern recognition have gained considerable  attention thanks to its na…

2015-09-23

Prof. Christian Wallraven`s paper accepted in Cerebral Cortex
Prof. Christian Wallraven`s paper accepted in Cerebral Cortex
Prof. Christian Wallraven`s new research on `Visual and Haptic Shape Processing in the Human Brain – Unisensory Processing, Multisensory Convergence, and Top-down Influences` was accepted in Cerebral Cortex.Title: Visual and Haptic Shape Processing in the Human Brain – Unisensory Processing, Multisensory Convergence, and Top-down Influences Abstract: Humans are highly adept at multisensory processing of object shape in both vision a…

2015-07-10

Prof. Jeehyun Kwag`s paper accepted in Neuropharmacology
Prof. Jeehyun Kwag`s paper accepted in Neuropharmacology
Prof. Jeehyun Kwag`s new research on ` GABA(A) receptor-mediated feedforward and feedback inhibition differentially modulate the gain and the neural code transformation in hippocampal CA1 pyramidal cells` was accepted in Neuropharmacology. Title: GABA(A) receptor-mediated feedforward and feedback inhibition differentially modulate the gain and the neural code transformation in hippocampal CA1 pyramidal cells  Abstract: Diverse variety of hip…

2015-06-15

Prof. Dong-Joo Kim`s paper accepted in Brain Structure & Function
Prof. Dong-Joo Kim`s paper accepted in Brain Structure & Function
Prof. Dong-Joo Kim`s new research on `Finite element analysis for normal pressure hydrocephalus: the effects of the integration of sulci` was accepted in Medical Image Analysis. Title: Finite element analysis for normal pressure hydrocephalus: the effects of the integration of sulci Abstract: Finite element analysis (FEA) is increasingly used to investigate the brain under various pathological changes. Although FEA has been used to study hydrocep…

2015-06-15

Prof. Heung-Il Suk`s paper accepted in Brain Structure & Function
Prof. Heung-Il Suk`s paper accepted in Brain Structure & Function
Prof. Heung-Il Suk`s new research on `Deep Sparse Multi-Task Learning for Feature Selection in Alzheimer’s Disease Diagnosis` was accepted in Brain Structure & Function.   Title: Deep Sparse Multi-Task Learning for Feature Selection in Alzheimer’s Disease Diagnosis   Abstract:   Recently, neuroimaging-based Alzheimer’s Disease (AD) or Mild Cognitive Impairment (MCI) diagnosis has attracted researchers in the field,…

2015-05-07

Prof. Seong-Whan Lee`s paper accepted in Pattern Recognition
Prof. Seong-Whan Lee`s paper accepted in Pattern Recognition
Prof. Seong-Whan Lee`s new research on `Subject-dependent Classification for Robust Idle State Detection using Multi-modal Neuroimaging and Data-fusion Techniques in BCI` was accepted in Pattern Recognition.   Title: Subject-dependent Classification for Robust Idle State Detection using Multi-modal Neuroimaging and Data-fusion Techniques in BCI   Abstract:   Brain–computer interfaces (BCIs) allow users to control external …

2015-05-04

Prof. Jichai Jeong`s paper accepted in IEEE/OSA Journal of Lightwave Technology
Prof. Jichai Jeong`s paper accepted in IEEE/OSA Journal of Lightwave Technology
Prof. Jichai Jeong`s new research on `Accurate Wavelength Calibration Method for Spectrometer using Low Coherence Interferometry` was accepted in IEEE/OSA Journal of Lightwave Technology.   Title: Accurate Wavelength Calibration Method for Spectrometer using Low Coherence Interferometry   Abstract: Dispersive spectrometers are subject to wavelength dispersion errors due to aberration, ruling errors, etc. Thus, …

2015-01-19

 1 2 3 4 5 6 7 8