Depression remains difficult to diagnose using objective biological markers, highlighting the need for biomarkers that are both replicable and generalizable. Electroencephalography (EEG) microstate an...
For older adults with disabilities and aphasia, timely care remains challenging, particularly during the 8-h nocturnal period, creating a need for stable non-invasive EEG interfaces for assistive brai...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
Background Quantitative EEG (qEEG) provides objective, millisecond-resolution measures of brain dynamics. Despite decades of methodological advances, clinically relevant derived indices—spectral power...
EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...
Alzheimer’s disease is a progressive neurodegenerative disorder characterized by cognitive decline and widespread cellular dysfunction. While individual pathological features such as mitochondrial imp...
Motor imagery (MI) electroencephalography (EEG) decoding remains challenging due to severe cross-subject variability and signal non-stationarity, which significantly degrade model generalization to un...
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