Neurology

A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.

The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment Response Scale (TRS), ranging from -3 (very Off) to 0 (On) to +3 (very dyskinetic), were used as target. For that purpose, 19 participants with advance...

isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selection.

The Golgi Apparatus (GA) is a key organelle for protein synthesis within the eukaryotic cell. The main task of GA is to modify and sort proteins for transport throughout the cell. Proteins permeate through the GA on the ER (Endoplasmic Reticulum) facing side (cis side) and depart on the other side (trans side). Based on this phenomenon, we get two types of GA proteins, namely, cis-Golgi protein an...

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.

Computerized healthcare has undergone rapid development thanks to the advances in medical imaging and machine learning technologies. Especially, recen...

Clinical and Imaging Outcomes of Endovascular Therapy in Patients with Acute Large Vessel Occlusion Stroke and Mild Clinical Symptoms.

BACKGROUND: The minimal stroke severity justifying endovascular intervention remains elusive. However, a significant proportion of patients presenting...

Looking for Alzheimer's Disease morphometric signatures using machine learning techniques.

BACKGROUND: We present our results in the International challenge for automated prediction of MCI from MRI data. We evaluate the performance of MRI-ba...

An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.

BACKGROUND: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used dis...

Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.

Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for i...

Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Imped...

A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.

BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by ...

Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with no effective treatments. Numerous RNA-binding proteins (RBPs) have...

Effect of robotic-assisted gait rehabilitation on dynamic equilibrium control in the gait of children with cerebral palsy.

Due to the intensity and repetition of movement, roboticassisted gait training therapy could have a beneficial effect on the recovery and improvement ...

Mathematic Network of Seizure Activity: How Presurgical Simulation Can Predict Postsurgical Success.

Fingolimod-associated PML with mild IRIS in MS: A clinicopathologic study.

OBJECTIVE: To clarify the clinical, neuropathologic, and virologic characteristics of progressive multifocal leukoencephalopathy (PML) and its immune ...

A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.

The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it leads to the blindness. Regular screening for early DR...

Online Graph Completion: Multivariate Signal Recovery in Computer Vision.

The adoption of "human-in-the-loop" paradigms in computer vision and machine learning is leading to various applications where the actual data acquisi...

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging.

Statistical machine learning models that operate on manifold-valued data are being extensively studied in vision, motivated by applications in activit...

Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding.

When encoding visual targets using various lagged versions of a pseudorandom binary sequence of luminance changes, the EEG signal recorded over the vi...

Development of an ultrasound-guided technique for retrobulbar nerve block in dromedary camels: a cadaveric study.

OBJECTIVE: Description of an ultrasound (US)-guided technique for retrobulbar nerve blockade in dromedary (Camelus dromedarius) cadavers.

Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces.

From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) to a...

Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.

BACKGROUND: Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Scientific research is very act...