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BACKGROUND AND PURPOSE Alzheimer disease (AD) is a neurodegenerative disease characterized by progressive dementia. The hippocampus is particularly vulnerable to damage at the very earliest stages of AD. This article seeks to evaluate critical AD-associated regional changes in the hippocampus using machine learning methods. MATERIALS AND METHODS(More)
INTRODUCTION Vestibular illusions are the most common illusions that can cause spatial disorientation in flight. This study aims to find out whether and how the ability of keeping arm-hand posture is affected by the vestibular illusions induced by galvanic vestibular stimulation (GVS). METHODS With their heads and trunks firmly fixed, 16 subjects(More)
Previous neuroimaging studies have suggested that cerebral changes over normal aging are not simply characterized by regional alterations, but rather by the reorganization of cortical connectivity patterns. The investigation of structural covariance networks (SCNs) using voxel-based morphometry is an advanced approach to examining the pattern of covariance(More)
It has been widely observed that atherosclerotic stenosis occurs at sites with complex hemodynamics, such as arteries with high curvature or bifurcations. These regions usually have very low or highly oscillatory wall shear stress (WSS). In the present study, 3D sinusoidally pulsatile blood flow through the models of internal carotid artery (ICA) with(More)
BACKGROUND Most studies that attempt to clarify structural abnormalities related to functional disconnection in patients with Alzheimer's disease (AD) have focused on exploring pathological changes in cortical gray matter. However, white matter fibers connecting these cerebral areas may also be abnormal. PURPOSE To investigate the regional changes of(More)
The proliferation of smart gadgets, appliances, mobile devices and sensors has enabled the construction of pervasive computing environment, transforming regular physical spaces into "Active Information Spaces". However, access control remains a major challenge for the deployment of this computing paradigm in real-life. A context access control model based(More)
The aim of this study is to investigate whether the anatomical organization of large-scale brain systems would change in ADHD patients compared to healthy controls. We utilized a structural covariance network (SCN) mapping approach to investigate large-scale networks in 30 drug-naïve ADHD boys and 30 gender- and age-matched controls. The regions showing(More)
In order to integrate heterogeneous location-aware systems into ubiquitous computing environment, a novel semantic location-aware model based on ontology is presented. The location-aware model has the capabilities of sharing knowledge, reasoning and adjusting the usage policies of services dynamically through a unified semantic location manner. And a(More)
We utilized a sulcus-based computational approach to investigate the relationship between the three-dimensional (3D) morphology of the central sulcus (CS) and age. The anterior and posterior walls of the CS were manually outlined using high-resolution magnetic resonance images of 295 right-handed healthy participants (age range: 18~94years). Surface(More)
Head injury is a leading cause of morbidity and death in both industrialized and developing countries. It is estimated that brain injuries account for 15% of the burden of fatalities and disabilities, and represent the leading cause of death in young adults. Brain injury may be caused by an impact or a sudden change in the linear and/or angular velocity of(More)