Depression remains difficult to diagnose using objective biological markers, highlighting the need for biomarkers that are both replicable and generalizable. Electroencephalography (EEG) microstate an...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
Background: Multiple sclerosis (MS) commonly affects balance and mobility, yet routine clinical tests may lack sensitivity to subtle change. Standardized mobility assessments such as the Timed Up and ...
Cancer patients are at increased risk of severe COVID-19 outcomes. Understanding their immunological response to SARS-CoV-2 mRNA vaccination is essential for identifying molecular biomarkers that can ...
Background Quantitative EEG (qEEG) provides objective, millisecond-resolution measures of brain dynamics. Despite decades of methodological advances, clinically relevant derived indices—spectral power...
Background: Diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia resulting from defective insulin action, secretion or both. Liver disorders are known to be a risk factor for ...
Background: Neurological motor assessment relies on semi-quantitative, scale-based measures with inherent clinimetric limitations that disproportionately affect clinical trials aimed at early disease ...
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