The alpha rhythm (7.5-12 Hz) is one of the fundamental features of the human EEG which usually has maximum amplitude over occipital regions. It is well recognized that individuals have highly different magnitudes of alpha EEG. This study examined occipital alpha EEG activity during different levels of experimental tonic cuff-pressure pain. The aim was to study the pain reactions and pain-EEG relationship in subjects with high alpha (H(alpha)) and low alpha (L(alpha)) EEG. Tonic experimental cuff-pressure induced pain, and high density EEG (124 channels) were used. The pain-EEG responses for the high alpha (above 600 microV(2) in total alpha power at baseline), and low alpha (below 600 microV(2) in alpha power at baseline) subjects were analyzed. Forty healthy volunteers were included and received tonic pain for 3 min at three intensities (VRS2) intense, but no pain, (VRS4) slight pain, and (VRS6) moderate pain. There were no differences in stimulus intensities to reach the three ratings between the H(alpha) and the L(alpha) groups. The H(alpha) and L(alpha) groups are highly different in alpha1(PO3), alpha1(PO4), alpha1(PO7) and alpha1(PO8) EEG powers. A positive correlation (P = 0.008) between alpha2(PO3) EEG and average subjective pain ratings was specific for the L(alpha) group. The H(alpha) group showed alpha1 desynchronization as pain increased, but no significant correlation between alpha1 EEG powers and average subjective pain ratings. The differences between the L(alpha) and the H(alpha) in alpha EEG powers and the different pain-EEG responses may be related to different degrees of attention, fear of pain and pain related coping strategies.
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http://dx.doi.org/10.1007/s00221-008-1632-1 | DOI Listing |
Front Syst Neurosci
January 2025
International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy.
This study examines the impact of positive and negative feedback on recall of past decisions, focusing on behavioral performance and electrophysiological (EEG) responses. Participants completed a decision-making task involving 10 real-life scenarios, each followed by immediate positive or negative feedback. In a recall phase, participants' accuracy (ACC), errors (ERRs), and response times (RTs) were recorded alongside EEG data to analyze brain activity patterns related to recall.
View Article and Find Full Text PDFLang Cogn Neurosci
July 2024
Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, USA.
The engagement of predictive mechanisms during language comprehension can facilitate processing and modulate neural oscillatory activity. These modulations include alpha-band activity decreases prior to expected words, reflecting anticipatory preparation, and frontal theta-band activity following unexpected words, reflecting engagement of cognitive control. It remains unknown how these oscillatory dynamics are impacted by aging.
View Article and Find Full Text PDFFront Psychol
January 2025
Aix Marseille Univ, CNRS, CRPN, Marseille, France.
eNeuro
January 2025
Research School of Psychology, Australian National University, 0200, Australia.
Inner speech refers to the silent production of language in one's mind. As a purely mental action without obvious physical manifestations, inner speech has been notoriously difficult to quantify. Inner speech is thought to be closely related to overt speech.
View Article and Find Full Text PDFInt J Psychophysiol
January 2025
Department of Applied Psychology, College of Public Administration, Guangdong University of Foreign Studies, Guangzhou, China. Electronic address:
Investigating the neurophysiological indicators of behavioral inhibition is crucial; however, despite numerous studies on the relationship between behavioral inhibition and resting-state electroencephalography (rs-EEG), the findings have yielded inconsistent results. Furthermore, these investigations primarily focused on reactive inhibition while neglecting intentional inhibition. Therefore, this study aimed to reassess the correlation between reactive inhibition and rs-EEG metrics while also exploring the association between intentional inhibition and rs-EEG.
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