Latest AI and machine learning research in neurology for healthcare professionals.
Auditory attention recognition from electroencephalography (EEG) is fundamental for understanding ho...
BACKGROUND: Alzheimer disease and age-related cognitive decline reduce memory engagement and limit c...
Nonylphenol (NP), an emerging environmental contaminant with neurotoxic potential, has been suggeste...
80% of patients with low-grade gliomas containing mutations of the metabolic enzyme isocitrate dehyd...
OBJECTIVE: To characterize spatiotemporal atrophy subtypes in biomarker-confirmed Alzheimer's diseas...
Decisions often require the integration of multiple considerations or attributes. Yet despite consid...
A collaborative, multidisciplinary, provincial approach was constructed involving a provincial worki...
The human gut-brain axis (GBA) is increasingly recognized as a complex bidirectional communication s...
Background: To facilitate appropriate medical stratification in clinical settings, this research lev...
Objective. Handwriting imagery (HI) based on electroencephalography (EEG) offers a non-invasive rout...
Epidermal bioelectrodes must possess both static and dynamic mechanical compatibility to ensure high...
B cell depleting therapies in multiple sclerosis (MS) have transformed disease management, yet the i...
Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder worldwide, affectin...
Electroencephalographic (EEG) source localization (ESL) is highly sensitive to noise. Although deep ...
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterize...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by prominent neur...
Objective Effective control of neural interfaces is limited by poor signal quality. While neural...
MicroRNAs (miRNAs) have emerged as critical regulators in the pathogenesis of polyglutamine (PolyQ) ...
Sensitive and selective green UV-spectrophotometric univariate and multivariate chemometric methods ...
Cardiovascular and cerebrovascular diseases are leading causes of death worldwide, motivating scalab...
Automated epileptic seizure detection from electroencephalogram (EEG) signals remains a critical cha...