Neurology

Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge.

BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and its onset in subjects affected by mild cognitive impairment (MCI) based on structural MRI features is one of the most important open issues in neuroimaging. Accordingly, a scientific challenge has been promoted, on the international Kaggle platform, to assess the performance of different classification methods for prediction of MCI and it...

Focal Onset Seizure Prediction Using Convolutional Networks.

OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to define a prediction horizon in which the prediction is as accurate and as early as possible, clearly two competing objectives.

Simultaneous quantitative determination of bioactive terpene indole alkaloids in ethanolic extracts of Catharanthus roseus (L.) G. Don by ultra high performance liquid chromatography-tandem mass spectrometry.

A rapid, sensitive and reproducible method using ultra-high-performance liquid chromatography coupled with electrospray ionization hybrid triple quadr...

Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.

PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in...

Robotic exoskeleton assessment of transient ischemic attack.

We used a robotic exoskeleton to quantify specific patterns of abnormal upper limb motor behaviour in people who have had transient ischemic attack (T...

Improving Arterial Spin Labeling by Using Deep Learning.

Purpose To develop a deep learning algorithm that generates arterial spin labeling (ASL) perfusion images with higher accuracy and robustness by using...

Intravenous Infusion of Bone Marrow-Derived Mesenchymal Stem Cells Reduces Erectile Dysfunction Following Cavernous Nerve Injury in Rats.

INTRODUCTION: Intravenous preload (delivered before cavernous nerve [CN] injury) of bone marrow-derived mesenchymal stem cells (MSCs) can prevent or d...

Human Wharton's Jelly-Derived Stem Cells Display a Distinct Immunomodulatory and Proregenerative Transcriptional Signature Compared to Bone Marrow-Derived Stem Cells.

Mesenchymal stromal cells (MSCs) are multipotent stem cells with immunosuppressive and trophic support functions. While MSCs from different sources fr...

[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, pneumonia and sepsis are the main infectious diseas...

Multivariate Analysis and Machine Learning in Cerebral Palsy Research.

Cerebral palsy (CP), a common pediatric movement disorder, causes the most severe physical disability in children. Early diagnosis in high-risk infant...

Robots and people with dementia: Unintended consequences and moral hazard.

The use of social robots in elder care is entering the mainstream as robots become more sophisticated and populations age. While there are many potent...

Does conditioned pain modulation predict the magnitude of placebo effects in patients with neuropathic pain?

BACKGROUND: Conditioned pain modulation (CPM) is a validated measure of the function of endogenous pain inhibitory pathways. Placebo effects reflect t...

Epileptic seizure detection in EEG signal using machine learning techniques.

Epilepsy is a well-known nervous system disorder characterized by seizures. Electroencephalograms (EEGs), which capture brain neural activity, can det...

Effect of Switching from Cilnidipine to Azelnidipine on Cardiac Sympathetic Nerve Function in Patients with Heart Failure Preserved Ejection Fraction.

Cardiac sympathetic nerve activity is known to play a key role in the development and progression of heart failure (HF). Azelnidipine, an L-type calci...

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.

White matter hyperintensities (WMH) are a feature of sporadic small vessel disease also frequently observed in magnetic resonance images (MRI) of heal...

Therapeutic hypothermia in patients with coagulopathy following severe traumatic brain injury.

BACKGROUND: Coagulopathy in traumatic brain injury (TBI) has been associated with poor neurological outcomes and higher in-hospital mortality. In gene...

Spontaneous Intraventricular Hemorrhage: When Should Intraventricular tPA Be Considered?

Spontaneous intracerebral hemorrhage (ICH) is the most common cause of intraventricular hemorrhage (IVH) in adults. Complicating approximately 40% of ...

Anesthetic Efficacy of Gow-Gates Nerve Block, Inferior Alveolar Nerve Block, and Their Combination in Mandibular Molars with Symptomatic Irreversible Pulpitis: A Prospective, Randomized Clinical Trial.

INTRODUCTION: The purpose of this prospective, randomized clinical trial was to evaluate the anesthetic efficacy of the Gow-Gates nerve block (GGNB), ...

Design, characterisation and evaluation of a soft robotic sock device on healthy subjects for assisted ankle rehabilitation.

Motor impairment is one of the common neurological conditions suffered by stroke patients, where this chronic immobility together with the absence of ...

Epileptic Seizures Prediction Using Machine Learning Methods.

Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginni...