Results 81 to 90 of about 1,748,144 (308)
Animal Models and Experimental Medicine, 2023 Neuroscience and neurology research is dominated by experimentation with rodents. Around 75% of neurology disease‐associated genes have orthologs in Drosophila melanogaster, the fruit fly amenable to complex neurological and behavioral investigations ...
Vladimir L. Katanaev
doaj +1 more source
Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients [PDF]
arXiv, 2020 Parkinson's disease is a neurodegenerative disorder characterized by the presence of different motor impairments. Information from speech, handwriting, and gait signals have been considered to evaluate the neurological state of the patients. On the other hand, user models based on Gaussian mixture models - universal background models (GMM-UBM) and i ...
arxiv
A multi-artifact EEG denoising by frequency-based deep learning [PDF]
arXiv, 2023 Electroencephalographic (EEG) signals are fundamental to neuroscience research and clinical applications such as brain-computer interfaces and neurological disorder diagnosis. These signals are typically a combination of neurological activity and noise, originating from various sources, including physiological artifacts like ocular and muscular ...
arxiv
Control and Synchronization of Neuron Ensembles [PDF]
, 2012 Synchronization of oscillations is a phenomenon prevalent in natural, social, and engineering systems. Controlling synchronization of oscillating systems is motivated by a wide range of applications from neurological treatment of Parkinson's disease to ...
Dasanayake, Isuru +2 more
core
Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita +7 more
wiley +1 more source
Exploiting fly models to investigate rare human neurological disorders
Neural Regeneration ResearchRare neurological diseases, while individually are rare, collectively impact millions globally, leading to diverse and often severe neurological symptoms.
Tomomi Tanaka, Hyung-Lok Chung
doaj +1 more source
Frontiers in Systems Neuroscience, 2020 Purkinje cell microcircuits perform diverse functions using widespread inputs from the brain and spinal cord. The formation of these functional circuits depends on developmental programs and molecular pathways that organize mossy fiber afferents from ...
Elizabeth P. Lackey +7 more
doaj +1 more source
An Integrative Neurological Model for Basic Observable Human Behavior [PDF]
, 2016 The scientific method uncovers information from the natural world in small increments. This spurs the design of models to explain how the pieces fit together and to identify future targets of research.
Francis, Ryan M
core +1 more source
Cerebral Amyloid Angiopathy Is Associated With Higher R2 Relaxation Rate: An MRI and Pathology Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cerebral amyloid angiopathy (CAA) involves β‐amyloid deposition in the walls of cortical and leptomeningeal small vessels. Transverse relaxation rate (R2) is a major source of contrast in MRI. This study tested the hypothesis that CAA is associated with R2, extracted the spatial pattern of CAA‐related R2 abnormalities, and evaluated ...
Md Tahmid Yasar +6 more
wiley +1 more source
Convolutional Neural Networks for Epileptic Seizure Prediction [PDF]
, 2018 Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness.
Brinkmann, Benjamin +6 more
core +3 more sources