Self-Supervised Transformer Reads Resting-State EEG to Detect Alzheimer’s Disease With 96.42% Accuracy
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A Japanese EEG study suggests that productively known second language words are linked to distinct patterns of functional brain connectivity ...
A systematic review of 54 studies finds that neuromarketing tools reliably capture player attention and engagement, but evidence that they ...
A new study shows that re-referencing EEG signals before filtering creates irreversible artificial brain correlations, particularly in deep sleep and ...
New EEG research shows that longitudinal increases in alpha-band power combined with enhanced brain network synchrony and metastability explain over ...
A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...
A new EEG study shows that stop signal delays and local trial sequences systematically shape the N2 and P3 brain ...
A large EEG study identifies sustained parietal alpha/beta suppression as a reliable, domain-general neural signature of cognitive flexibility, while frontal ...
A new evidence-guided framework called E-MDD combines deep EEG representations, neurophysiological biomarkers, and a constrained large language model to detect ...
A single-case EEG study recorded a professional concert pianist performing Bach, Beethoven, and Chopin, revealing a stable left fronto-striato-thalamic motor ...
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© 2026 Scienmag - Science Magazine