EEG-based neural activity for decoding situation awareness at different levelsView further author informationPei-Luen Patrick RauView further author informationchenna@mail.buct.edu.cnNa ChenView further author informationQianlan Wu
To this end, we use different error measures showing that the IRA estimation model can be more accurate and robust than the other compared methods.doi:10.1007/978-3-319-18914-7_41E. Giraldo-SuárezUniversidad Tecnológica de PereiraG. Castellanos-Dominguez...
To address this issue we build and validate a neural decoding model to both reconstruct and identify the music an individual is listening to from a combination of EEG and fMRI recordings of their brain activity. Music is a form of emotional communication and is also a complex acoustic signal t...
1B). Crucially, microstates 3 and 4 explained only 32% of the variance during resting wake (map 3: 18.18%, map 4: 14.22%), indicating that their presence is markedly different between sleep and wakefulness [2 × 5 repeated measures ANOVA interaction: F(2.08, 35.36) = 21.78, p...
processes believed to be involved, (ii) describe these components in terms of key neuroanatomical regions of interest, and (iii) critically appraise current findings regarding EEG measures as they relate to different aspects of meditation, functional activity and connectivity across regions of interest....
The sources of neural activity are in the 3-dimensional brain while EEG only measures the 2-dimensional surface. The signals measured at the scalp surface do not represent the location of the active neurons generating the signal [3]; however, EEG measures neural activity on a millisecond time...
Klassen et al (2011) evaluated qEEG measures as predictive biomarkers for the development of dementia in Parkinson disease (PD). Preliminary work shows that qEEG measures correlate with current PD cognitive state. A reliable predictive qEEG biomarker for PD dementia (PD-D) incidence would be valuab...
Historically, no clear agreement has been reached regarding the functional meaning of EEG alpha wave activity or even which measures best characterize it. The physiological basis of alpha signals (including anatomical and topographical factors) means that measurement of alpha activity can involve tracking...
The Psychomotor Vigilance Task (PVT), which measures mental reaction speed, is a simple reaction time task developed by Dinges and Powell (1985). It is commonly used in behavioral tests to assess subjects’ attention states, arousal levels, and changes in vigilance. The PVT assesses sustained ...
Seizure sensitivity measures the fraction of the correctly predicted seizures, as described by equation (2). $$\begin{aligned} SS = \frac{Predicted \ seizures}{All \ seizures} \end{aligned}$$ (2) FPR/h measures the occurrence of false alarms during an hour and is defined as the proport...