Equal accuracy, different brains: autism study reveals distinct feedback processing
Autistic and non-autistic adults performed equally well on an auditory task, but EEG recordings revealed three distinct differences in how ...
Autistic and non-autistic adults performed equally well on an auditory task, but EEG recordings revealed three distinct differences in how ...
A new attention-based deep learning framework classifies Parkinson’s disease from resting-state EEG signals with high accuracy and provides interpretable sub-band ...
An editorial in Frontiers in Psychiatry highlights how electrophysiological measures can bridge the gap between preclinical neural mechanisms and clinical ...
A new AI framework called DSE-TAM jointly models spatial relationships among EEG electrodes and temporal dynamics of brain activity, improving ...
A new EEG framework improves cross-subject driving fatigue detection by using early personal spectral references and causal long-sequence residual encoding.
Continuous theta-burst stimulation over the left dorsolateral prefrontal cortex altered ERP, oscillatory and network signatures of Stroop conflict processing in ...
Researchers have unveiled HybridMI-EEG, a hybrid self-supervised framework that combines masked reconstruction with mutual information upper-bound constraints to improve EEG-based ...
A study of 1,546 patients with biomarker-confirmed symptomatic Alzheimer's disease found that 35 carriers of rare high-risk SORL1 variants showed ...
A Frontiers editorial outlines how EEG-based biomarkers, machine learning and BCI technologies could support personalised mental healthcare while facing low ...
A two-site EEG study of 9751 participants found reduced alpha power and increased gamma-band connectivity shared across schizophrenia, bipolar disorder ...
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© 2026 Scienmag - Science Magazine