Neurology

Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features.

Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian Markov random fields. However, it is unclear whether it is possible to differentiate between phenotypic patterns associated with the differential diag...

Hand Rehabilitation Robotics on Poststroke Motor Recovery.

The recovery of hand function is one of the most challenging topics in stroke rehabilitation. Although the robot-assisted therapy has got some good results in the latest decades, the development of hand rehabilitation robotics is left behind. Existing reviews of hand rehabilitation robotics focus either on the mechanical design on designers' view or on the training paradigms on the clinicians' vie...

Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.

OBJECTIVE: Focal cortical dysplasias (FCDs) often cause pharmacoresistant epilepsy, and surgical resection can lead to seizure-freedom. Magnetic reson...

High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.

MOTIVATION: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremo...

Design and Computational Modeling of a Modular, Compliant Robotic Assembly for Human Lumbar Unit and Spinal Cord Assistance.

Wearable soft robotic systems are enabling safer human-robot interaction and are proving to be instrumental for biomedical rehabilitation. In this man...

The treatment of a pregnant HIV positive patient with cryptococcal meningitis in Malawi. Case report and review of treatment options.

This case reports cryptococcal meningitis in an HIV positive woman on antiretroviral therapy, presenting with left middle cerebral artery stroke at 30...

Comparative molecular docking studies of lupeol and lupenone isolated from Pueraria lobata that inhibits BACE1: Probable remedies for Alzheimer's disease.

OBJECTIVE: To discover lead lupane triterpenoid's potential isolated from Pueraria lobata roots against β-site amyloid precursor protein cleaving enzy...

Compliant Buckled Foam Actuators and Application in Patient-Specific Direct Cardiac Compression.

We introduce the use of buckled foam for soft pneumatic actuators. A moderate amount of residual compressive strain within elastomer foam increases th...

Walking speed is not the best outcome to evaluate the effect of robotic assisted gait training in people with motor incomplete Spinal Cord Injury: A Systematic Review with meta-analysis.

CONTEXT: While there are previous systematic reviews on the effectiveness of the use of robotic-assisted gait training (RAGT) in people with spinal co...

Whole brain white matter connectivity analysis using machine learning: An application to autism.

In this paper, we propose an automated white matter connectivity analysis method for machine learning classification and characterization of white mat...

EMG-Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks.

A novel model based on deep learning is proposed to estimate kinematic information for myoelectric control from multi-channel electromyogram (EMG) sig...

State-of-the-art robotic devices for ankle rehabilitation: Mechanism and control review.

There is an increasing research interest in exploring use of robotic devices for the physical therapy of patients suffering from stroke and spinal cor...

CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.

BACKGROUND: Classification of electroencephalography (EEG) signals for motor imagery based brain computer interface (MI-BCI) is an exigent task and co...

Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks.

Decoding neural activities related to voluntary and involuntary movements is fundamental to understanding human brain motor circuits and neuromotor di...

Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke...

Robot Training With Vector Fields Based on Stroke Survivors' Individual Movement Statistics.

The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, c...

Pronation and supination analysis based on biomechanical signals from Parkinson's disease patients.

In this work, a fuzzy inference model to evaluate hands pronation/supination exercises during the MDS-UPDRS motor examination is proposed to analyze d...

Vitamin D status in children with headache: A case-control study.

BACKGROUND: Vitamin D is a fat soluble vitamin with hormonal properties, plays crucial functions in bone and mineral metabolism and has important regu...

Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke.

BACKGROUND: When exploring changes in upper limb kinematics and motor impairment associated with motor recovery in subacute post stroke during intensi...

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

Automatic segmentation of brain tissues and white matter hyperintensities of presumed vascular origin (WMH) in MRI of older patients is widely describ...