Lateralisation effect in comprehension of emotional facial expression: A comparison between EEG alpha band power and behavioural inhibition (BIS) and activation (BAS) systems

2010 ◽  
Vol 15 (3) ◽  
pp. 361-384 ◽  
Author(s):  
Michela Balconi ◽  
Guido Mazza
Keyword(s):  
Facial Expression ◽  
Alpha Band ◽  
Behavioural Inhibition ◽  
Emotional Facial Expression ◽  
Band Power ◽  
Eeg Alpha

scholarly journals Propofol Requirement and EEG Alpha Band Power During General Anesthesia Provide Complementary Views on Preoperative Cognitive Decline

2020 ◽  
Vol 12 ◽  
Author(s):  
Cyril Touchard ◽  
Jérôme Cartailler ◽  
Charlotte Levé ◽  
José Serrano ◽  
David Sabbagh ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
General Anesthesia ◽  
Logistic Models ◽  
Alpha Band ◽  
Target Concentration ◽  
Operative Morbidity ◽  
Band Power ◽  
Cognitive Evaluation ◽  
Eeg Alpha ◽  
Better Than

Background: Although cognitive decline (CD) is associated with increased post-operative morbidity and mortality, routinely screening patients remains difficult. The main objective of this prospective study is to use the EEG response to a Propofol-based general anesthesia (GA) to reveal CD.Methods: 42 patients with collected EEG and Propofol target concentration infusion (TCI) during GA had a preoperative cognitive assessment using MoCA. We evaluated the performance of three variables to detect CD (MoCA < 25 points): age, Propofol requirement to induce unconsciousness (TCI at SEF95: 8–13 Hz) and the frontal alpha band power (AP at SEF95: 8–13 Hz).Results: The 17 patients (40%) with CD were significantly older (p < 0.001), had lower TCI (p < 0.001), and AP (p < 0.001). We found using logistic models that TCI and AP were the best set of variables associated with CD (AUC: 0.89) and performed better than age (p < 0.05). Propofol TCI had a greater impact on CD probability compared to AP, although both were complementary in detecting CD.Conclusion: TCI and AP contribute additively to reveal patient with preoperative cognitive decline. Further research on post-operative cognitive trajectory are necessary to confirm the interest of intra operative variables in addition or as a substitute to cognitive evaluation.

Identification of Schizophrenia Using EEG Alpha Band Power During Hyperventilation and Post-hyperventilation

2016 ◽  
Vol 36 (6) ◽  
pp. 901-911 ◽  
Author(s):  
Thilakavathi Bose ◽  
Shenbaga Devi Sivakumar ◽  
Bhanu Kesavamurthy
Keyword(s):  
Alpha Band ◽  
Band Power ◽  
Eeg Alpha

scholarly journals Top–Down Cognitive Control in Students with a Rigid Set-on Facial Expression

2018 ◽  
Author(s):  
E Cheremushkin ◽  
N Petrenko
Keyword(s):  
Cognitive Control ◽  
Facial Expression ◽  
Emotional Facial Expression ◽  
Top Down ◽  
Alpha Oscillations ◽  
Fixed Set ◽  
Personal Anxiety ◽  
Eeg Alpha ◽  
Anxiety Depression ◽  
Rigid Set

Top–down cognitive control was studied in students by the model of fixed set for facial expression. In subjects with errors in the set fixing, it is weakened to the greatest extent. The hypothesis about the influence on the top–down cognitive control of the functional state of subjects caused by signs of autonomic dysfunction, personal anxiety, depression and sleep quality is considered. Keywords: top–down cognitive control, emotional facial expression, errors recognition, EEG, alpha oscillations

Invisible visual stimuli elicit increases in alpha-band power

2014 ◽  
Vol 112 (5) ◽  
pp. 1082-1090 ◽  
Author(s):  
Isabelle Bareither ◽  
Maximilien Chaumon ◽  
Fosco Bernasconi ◽  
Arno Villringer ◽  
Niko A. Busch
Keyword(s):  
Cortical Excitability ◽  
Neuronal Response ◽  
Detection Threshold ◽  
Visual Stimuli ◽  
Response Patterns ◽  
Alpha Band ◽  
Noise Pattern ◽  
Band Power ◽  
Wide Range ◽  
Eeg Alpha

The cerebral cortex responds to stimuli of a wide range of intensities. Previous studies have demonstrated that undetectably weak somatosensory stimuli cause a functional deactivation or inhibition in somatosensory cortex. In the present study, we tested whether invisible visual stimuli lead to similar responses, indicated by an increase in EEG alpha-band power—an index of cortical excitability. We presented subliminal and supraliminal visual stimuli after estimating each participant's detection threshold. Stimuli consisted of peripherally presented small circular patches that differed in their contrast to a background consisting of a random white noise pattern. We demonstrate that subliminal and supraliminal stimuli each elicit specific neuronal response patterns. Supraliminal stimuli evoked an early, strongly phase-locked lower-frequency response representing the evoked potential and induced a decrease in alpha-band power from 400 ms on. By contrast, subliminal visual stimuli induced an increase of non-phase-locked power around 300 ms that was maximal within the alpha-band. This response might be due to an inhibitory mechanism, which reduces spurious visual activation that is unlikely to result from external stimuli.

scholarly journals Effects of load and emotional state on EEG alpha-band power and inter-site synchrony during a visual working memory task

2020 ◽  
Vol 20 (5) ◽  
pp. 1122-1132
Author(s):  
Jessica Sanches Braga Figueira ◽  
Isabel de Paula Antunes David ◽  
Isabela Lobo ◽  
Luiza Bonfim Pacheco ◽  
Mirtes Garcia Pereira ◽  
...  
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Emotional State ◽  
Memory Task ◽  
Alpha Band ◽  
Band Power ◽  
Eeg Alpha

scholarly journals Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system

2009 ◽  
Vol 5 (2) ◽  
Author(s):  
Eugene Zilberg ◽  
Zheng Ming Xu ◽  
David Burton ◽  
Murad Karrar ◽  
Saroj Lal
Keyword(s):  
Detection System ◽  
Seat Belt ◽  
Alpha Band ◽  
Statistical Validation ◽  
Physiological Indicators ◽  
Car Seat ◽  
Non Invasive ◽  
Driver Drowsiness ◽  
Band Power ◽  
Eeg Alpha

A hybrid system for detecting driver drowsiness was examined by using piezofilm movement sensors integrated into the car seat, seat belt and steering wheel. Statistical associations between increase in the driver drowsiness and the non-invasive and conventional physiological indicators were investigated. Statistically significant associations were established for the analysed physiological indicators – car seat movement magnitude and (electroencephalogram) EEG alpha band power percentage. All of the associastions were physiologically plausible with increase in probability of drowsiness associated with increases in the EEG alpha band power percentage and reduction in the seat movement magnitude. Adding a non-invasive measure such as seat movement magnitude to any combination of the EEG derived physiological predictors always resulted in improvement of associations. These findings can serve as a foundation for designing the vehicle-based fatigue countermeasure device as well as highlight potential difficulties and limitations of detection algorithm for such devices.

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