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The neuroanatomical morphology of the optic nerve is an important description for understanding different aspects like topological distribution of nerves. Manual identification and morphometry has been usually considered as tedious, time consuming, and susceptible to error. A method that automates the identification and analysis of axons from electron(More)
Automatic detection and classification of electroencephalogram (EEG) epileptic activity aid diagnosis and relieve the heavy workload of doctors. This article presents a new EEG classification approach based on the extreme learning machine (ELM) and wavelet transform (WT). First, the WT is used to extract useful features when certain scales cover abnormal(More)
BACKGROUND AND OBJECTIVES Cerebral vasospasm is an important cause of poor outcomes in subarachnoid haemorrhage patients. This study was designed to assess the effectiveness and safety of nimodipine in the prevention of cerebral vasospasm in aneurysmal subarachnoid haemorrhage patients. METHODS We searched Pubmed, OVID, Embase, the Cochrane library, the(More)
OBJECTIVE The purpose of this study was to evaluate the efficacy of percutaneous laser disc decompression (PLDD) in the treatment of lumbar disc herniation (LDH) and identify the relationship between PLDD efficacy and age. BACKGROUND DATA Many articles have shown that the short-term clinical outcome of PLDD was fairly good. However, the continuous(More)
Computer-based automatic recognition of persons for security reasons is highly desirable. Iris patterns provide an opportunity for separation of individuals to an extent that would avoid false positives and negatives. The current standard for this science is Daugman's iris localization algorithm. Part of the time required for analysis and comparison with(More)
INTRODUCTION In recent years, diffusion tensor imaging (DTI) has emerged as a promising tool to study ischemic stroke. The aim of this study is to evaluate the anisotropic changes of cerebral white matter tracks in patients with ischemic stroke using DTI, and investigate the correlation between corticospinal tract damage and muscle strength in such patients(More)
Meningiomas, one of the most common benign brain tumors in humans, arise from arachnoid cells in the brain meninges. Our investigations have revealed that miR-335 is a typical microRNA overexpressed in meningiomas in humans. Characterization of the effects of miR-335 overexpression in meningiomas demonstrated that elevated levels of miR-335 increased cell(More)
A new nonlinear approach is presented for high-frequency electrocorticography (ECoG)-based diagnosis of epilepsy. The ECoG data from 3 patients with epilepsy are analyzed in this study. A recently developed algorithm in graph theory, visibility graph (VG), is applied in this research. The approach is based on the key discovery that high-frequency(More)
BACKGROUND Multicellular resistance (MCR), i.e. decreased sensitivity to anticancer drugs compared with common monolayer cell (MC) cultures, depends partly on tumor cell-cell adhesion. Previous studies have shown that anti-adhesive therapies, including integrin alpha(v), beta(1) and alpha(v)beta(3) targeting, induced apoptosis and reversed the sensitivity(More)
Shockwaves elicited by transient pressure disturbances are used to treat musculoskeletal disorders. Previous research has shown that shockwave treatment affects T-cell function, enhancing T-cell proliferation and IL-2 expression by activating p38 mitogen-activated protein kinase (MAPK) signaling. Here we investigated the signaling pathway by which(More)