Neurology

Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults.

Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over a neighboring path in case of an irreversible path fault existing in its original path. The multiplexing mechanism depends on neural delay box (NDB) ...

Proximal tibia fracture in a patient with incomplete spinal cord injury associated with robotic treadmill training.

STUDY DESIGN: One case report of proximal tibia fracture in a patient with incomplete spinal cord injury (SCI) associated with robotic treadmill training.

Soluble CD163 and monocyte populations in response to antiretroviral therapy and in relationship with neuropsychological testing among HIV-infected children.

BACKGROUND: Monocytes play a central role in HIV neuropathogenesis, but there are limited data on monocyte subsets and markers of monocyte activation ...

The straintronic spin-neuron.

In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient impl...

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging.

Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimag...

Depth Sensing for Improved Control of Lower Limb Prostheses.

Powered lower limb prostheses have potential to improve the quality of life of individuals with amputations by enabling all daily activities. However,...

A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect.

Neuroimaging has identified many correlates of emotion but has not yet yielded brain representations predictive of the intensity of emotional experien...

Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy.

BACKGROUND: This study sought to predict postsurgical seizure freedom from pre-operative diagnostic test results and clinical information using a rapi...

Effects on Symptoms of Agitation and Depression in Persons With Dementia Participating in Robot-Assisted Activity: A Cluster-Randomized Controlled Trial.

OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents with moderate to severe dementia participating in a r...

Total mesorectal excision for rectal cancer with emphasis on pelvic autonomic nerve preservation: Expert technical tips for robotic surgery.

The primary goal of surgical intervention for rectal cancer is to achieve an oncologic cure while preserving function. Since the introduction of total...

The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study.

BACKGROUND: Stroke significantly affects thousands of individuals annually, leading to considerable physical impairment and functional disability. Gai...

Design and Fabrication of a Six Degree-of-Freedom Open Source Hand.

Currently, most externally powered prostheses are controlled using electromyography (or EMG), which is the measure of the electrical signals that are ...

Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease.

BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for advanced Parkinson's disease (PD). However, patients ...

Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.

The development of realistic neuroanatomical models of peripheral nerves for simulation purposes requires the reconstruction of the morphology of the ...

Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and temporal asymmetry, which may increase energy expenditure...

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures a...

A brief method for preparation of gintonin-enriched fraction from ginseng.

BACKGROUND: Ginseng has been used as a tonic for invigoration of the human body. In a previous report, we identified a novel candidate responsible for...

EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning.

This paper presents a novel method for feature extraction from electroencephalogram (EEG) signals using empirical mode decomposition (EMD). Its use is...

Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.

For a continuous treatment, the generalised propensity score (GPS) is defined as the conditional density of the treatment, given covariates. GPS adjus...

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical treatment outcomes in groups of patients with temp...