Neurology

A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease.

Alzheimer's disease (AD) is a neurological degenerative disorder that leads to progressive mental deterioration. This work introduces a computational approach to improve our understanding of the progression of AD. We use ensemble learning methods and deep neural networks to identify salient structural correlations among brain regions that degenerate together in AD; this provides an understanding o...

Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques.

Identifying important predicative indicators for prognosis is useful since these factors help for understanding diseases and determining treatments for patients. We extracted important factors for prognosis of cerebral infarction from EHR. We analyzed EHR data of 1,697 patients with 1,602 variables using gradient boosting decision tree. Extracted factors include not only well-known factors such as...

A Dual Targeting Drug Delivery System for Penetrating Blood-Brain Barrier and Selectively Delivering siRNA to Neurons for Alzheimer's Disease Treatment.

BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the treatment is hindered by blood-brain barrier and poo...

Renal Function in Type 2 Diabetes Following Gastric Bypass.

BACKGROUND: Metabolic surgery for obese patients with type 2 diabetes (T2D) yields short- and long-term remission rates of 60-90%. Its effects on diab...

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional sin...

Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection o...

Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classifie...

[A Classification Algorithm for Epileptic Electroencephalogram Based on Wavelet Multiscale Analysis and Extreme Learning Machine].

The automatic classification of epileptic electroencephalogram(EEG)is significant in the diagnosis and therapy of epilepsy.A classification algorithm ...

Possible Parkinson's Disease Induced by Chronic Manganese Supplement Ingestion.

OBJECTIVE: The objective is to report a case of possible neurotoxicity resulting from an incorrect dietary supplement for osteoporosis taken at a toxi...

Myricetin protects hippocampal CA3 pyramidal neurons and improves learning and memory impairments in rats with Alzheimer's disease.

There is currently no treatment for effectively slowing the progression of Alzheimer's disease, so early prevention is very important. Numerous studie...

[Analysis of Diemailing Kudiezi injection use in real world in 7 189 patients with cerebral infarction].

This is a study based on hospital intensive monitoring to explore medication use of Diemailing Kudiezi injection(one Chinese herbal medicine injection...

[Clinical medication characteristics of Shuxuening injection in treatment of cerebral infarction research based on registration].

To understand the medication characteristics of Xingxue@Shuxuening solutions in the real world, multi-center, large-sample-size registration design me...

Simple, rapid and highly sensitive HPLC method for measurement of Lamotrigine in human plasma and its clinical applications.

Spikes in Lamotrigine concentrations levels and associated clinical toxicity may occur unpredictably. This study describes the development and validat...

In Vitro Antifungal Susceptibility of Environmental Isolates of spp. from the West Region of Cameroon.

BACKGROUND: Cryptococcus neoformans is responsible of cryptococcosis, a life-threatening infection that affects healthy and immunocompromised individu...

A Pilot Longitudinal Study on Cerebrospinal Fluid (CSF) Tau Protein in Alzheimer's Disease and Vascular Dementia.

BACKGROUND: Alzheimer's disease (AD) has high a prevalence rate, high medical costs, and care difficulties, and has become a serious social and econom...

Robotic-assisted locomotor training enhances ankle performance in adults with incomplete spinal cord injury.

OBJECTIVE: Ankle joint control plays an important role in independent walking. This study investigated the effects of robotic-assisted locomotor train...

Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification.

BACKGROUND: Clinical differentiation of parkinsonian syndromes is still challenging.

Robot-assisted gait training improves brachial-ankle pulse wave velocity and peak aerobic capacity in subacute stroke patients with totally dependent ambulation: Randomized controlled trial.

OBJECTIVE: Brachial-ankle pulse wave velocity (baPWV) evaluates arterial stiffness and also predicts early outcome in stroke patients. The objectives ...

[Investigation of the in vitro effects of Melissa officinalis L., Mentha x piperita L. and Ocimum basilicum L. (Lamiaceae) essential oils on the cysts and trophozoites of Acanthamoeba castellani].

Acanthamoeba species are free living amoeba found widely all over the world. They are responsible for Acanthamoeba keratitis (AK), an infection which ...

Bilateral thoracic paravertebral nerve blocks for placement of percutaneous radiologic gastrostomy in patients with amyotrophic lateral sclerosis: a case series.

BACKGROUND AND AIMS: To assess the efficacy of bilateral thoracic paravertebral nerve blocks (PVB) in providing procedural anesthesia and post-procedu...