A recent paper published in National Science Review presents a multi-space alignment approach for cross-species and cross-modality electroencephalogram (EEG) based epileptic seizure detection. By ...

Past neuroscience and psychology studies have shown that after the human brain encodes specific events or information, it can periodically reactivate them to facilitate their retention, via a process ...

Intracranial neural recordings reveal the dynamic and distributed nature of semantic, articulatory and acoustic representations of speech production, highlighting the potential of nonmotor ...

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

"The wait time is so long and uncertain, which makes everything in life uncertain," Wietske said. The procedure is called an Intracranial EEG (iEEG). Electrodes are placed deep inside the brain to ...

Abstract: Automatic detection of emotional states using electroencephalogram (EEG) signals has emerged as an attractive research topic due to advancements in brain-computer interfaces (BCIs).

To improve the clarity of how much tissue to remove during epilepsy surgery, UCSF researchers used intracranial electroencephalogram (EEG) recordings, which measure the electrical activity of the ...

To improve the clarity of how much tissue to remove during epilepsy surgery, UCSF researchers used intracranial electroencephalogram (EEG) recordings, which measure the electrical activity of the ...

Abstract: Considerable interindividual variability exists in electroencephalogram (EEG) signals, resulting in challenges for subject-independent emotion recognition tasks. Current research in ...

Monitoring of intracranial pressure (ICP ... Noninvasive monitoring devices such as EEG, transcranial Doppler and NIRS provide alternative methods for indirectly measuring cerebral metabolic ...