An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

This manuscript addresses an important question in clinical neuroscience: the use of the theta/beta ratio as a biomarker of attention deficit hyperactivity disorder (ADHD). The study takes an ...

As dementia becomes more widespread, Mayo Clinic researchers believe that artificial intelligence is the key to enabling earlier and faster diagnoses. By pairing AI and EEG (electroencephalogram) ...

MIDDLETON, Wis., March 5, 2026 /PRNewswire/ -- Natus Medical Incorporated has announced the global launch of the autoSCORE™ analysis tool, spreading the availability of the first ...

Patients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This ...

A new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy. Surgery can be a life-changing option for ...

Electroencephalogram (EEG) is a method used to measure and visualize spontaneous electrical activity within the brain. Electrical impulses are the main form of signaling found within the brain; ...

Clinicians use electroencephalography (EEG) to assess brain activity in epilepsy and sleep pathologies, and this powerful ...