scholarly journals Gamma-Band Oscillations in the Primary Somatosensory Cortex--A Direct and Obligatory Correlate of Subjective Pain Intensity

2012 ◽  
Vol 32 (22) ◽  
pp. 7429-7438 ◽  
Author(s):  
Z. G. Zhang ◽  
L. Hu ◽  
Y. S. Hung ◽  
A. Mouraux ◽  
G. D. Iannetti
2017 ◽  
Vol 128 (12) ◽  
pp. e436
Author(s):  
K. Ricci ◽  
E. Vecchio ◽  
M. Delussi ◽  
A. Montemurno ◽  
E. Gentile ◽  
...  

2022 ◽  
Vol 12 ◽  
Author(s):  
Yuanyuan Lyu ◽  
Francesca Zidda ◽  
Stefan T. Radev ◽  
Hongcai Liu ◽  
Xiaoli Guo ◽  
...  

Pain is a multidimensional process, which can be modulated by emotions; however, the mechanisms underlying this modulation are unknown. We used pictures with different emotional valence (negative, positive, and neutral) as primes and applied electrical painful stimuli as targets to healthy participants. We assessed pain intensity and unpleasantness ratings and recorded electroencephalograms (EEGs). We found that pain unpleasantness and not pain intensity ratings were modulated by emotion, with increased ratings for negative and decreased ratings for positive pictures. We also found two consecutive gamma band oscillations (GBOs) related to pain processing from time frequency analyses of the EEG signals. The early GBO had a cortical distribution contralateral to the painful stimulus and its amplitude was positively correlated with intensity and unpleasantness ratings, but not with prime valence. The late GBO had a centroparietal distribution and its amplitude was larger for negative compared to neutral and positive pictures. The emotional modulation effect (negative vs. positive) of the late GBO amplitude was positively correlated with pain unpleasantness. The early GBO might reflect the overall pain perception, possibly involving the thalamocortical circuit, while the late GBO might be related to the affective dimension of pain and top-down-related processes.


2004 ◽  
Vol 100 (4) ◽  
pp. 939-946 ◽  
Author(s):  
Michael T. Alkire ◽  
Nathan S. White ◽  
Raymond Hsieh ◽  
Richard J. Haier

Background To elucidate neural correlates associated with processing of tonic aching pain, the authors used high-field (3-T) functional magnetic resonance imaging with a blocked parametric study design and characterized regional brain responses to electrical stimulation according to stimulus intensity-response functions. Methods Pain was induced in six male volunteers using a 5-Hz electrical stimulus applied to the right index finger. Scanning sequences involved different levels of stimulation corresponding to tingling sensation (P1), mild pain (P2), or high pain (P3). Common effects across subjects were sought using a conjunction analyses approach, as implemented in statistical parametric mapping (SPM-99). Results The contralateral posterior/mid insula and contralateral primary somatosensory cortex were most associated with encoding stimulus intensity because they showed a positive linear relation between blood oxygenation level-dependent signal responses and increasing stimulation intensity (P1 < P2 < P3). The contralateral secondary somatosensory cortex demonstrated a response function most consistent with a role in pain intensity encoding because it had no significant response during the innocuous condition (P1) but proportionally increased activity with increasingly painful stimulus intensities (0 < P2 < P3). Finally, a portion of the anterior cingulate cortex (area 24) and supplementary motor area 6 demonstrated a high pain-specific response (P3). Conclusions The use of response function modeling, conjunction analysis, and high-field imaging reveals dissociable regional responses to a tonic aching electrical pain. Most specifically, the primary somatosensory cortex and insula seem to encode stimulus intensity information, whereas the secondary somatosensory cortex encodes pain intensity information. The cingulate findings are consistent with its proposed role in processing affective-motivational aspects of pain.


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