Back

EEG-Neurofeedback Targeting Gamma Oscillations at the Parieto-Occipital Region Reduces Pain Perception

Zhao, X.; Sun, H.; Wei, S.; Duan, H.; Huang, G.; Li, J.; Wang, H.; Lu, X.; Bi, Y.; Hu, L.

2026-05-27 neuroscience
10.64898/2026.05.27.728092 bioRxiv
Show abstract

Pain is closely associated with both spontaneous and stimulus-evoked gamma oscillations, which differ in their phenomenology and their relationship to pain perception. These associations make gamma oscillations a promising target for pain interventions, such as closed-loop real-time neurofeedback (NFB). While modulating stimulus-evoked gamma oscillations is technically challenging due to their concurrent occurrence with pain perception, targeting spontaneous gamma oscillations is both feasible and practical, as it could influence subsequent cortical nociceptive processing and reduce pain. To test this mechanistic hypothesis, we developed a novel NFB training protocol aimed at increasing spontaneous gamma oscillations in the parieto-occipital region to alleviate pain. Eight-eight healthy, right-handed subjects were randomly assigned to either an active or sham NFB group and completed three sessions of NFB training. During each session, subjects underwent EEG recording and received randomized laser stimulation while watching a video. After three training sessions, approximately 52% of subjects in the active group successfully increased the spectral power of spontaneous gamma oscillations in the parieto-occipital region. Crucially, the spectral power of spontaneous gamma oscillations was significantly and negatively correlated with subjective pain intensity after the third NFB session. Additionally, subjects who responded successfully to active NFB showed significant reductions in pain intensity, unpleasantness, and laser-evoked potentials compared to the sham group. Together, these findings establish a causal relationship between spontaneous gamma oscillations in the parieto-occipital region and pain perception, potentially offering a novel NFB-based therapeutic strategy for pain management.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Pain
78 papers in training set
Top 0.1%
18.4%
2
Scientific Reports
3612 papers in training set
Top 7%
7.8%
3
Neurobiology of Pain
11 papers in training set
Top 0.1%
4.3%
4
The Journal of Pain
30 papers in training set
Top 0.2%
4.0%
5
Brain Stimulation
125 papers in training set
Top 0.5%
3.5%
6
European Journal of Pain
11 papers in training set
Top 0.1%
3.5%
7
Journal of Neurophysiology
302 papers in training set
Top 1%
3.4%
8
eLife
5828 papers in training set
Top 34%
3.2%
9
Nature Communications
5641 papers in training set
Top 38%
2.7%
50% of probability mass above
10
PLOS ONE
5266 papers in training set
Top 43%
2.4%
11
NeuroImage
903 papers in training set
Top 4%
2.1%
12
Cerebral Cortex
396 papers in training set
Top 3%
1.9%
13
Frontiers in Neuroscience
256 papers in training set
Top 3%
1.7%
14
Frontiers in Pain Research
11 papers in training set
Top 0.2%
1.7%
15
Psychophysiology
77 papers in training set
Top 0.7%
1.7%
16
European Journal of Neuroscience
189 papers in training set
Top 2%
1.7%
17
Imaging Neuroscience
282 papers in training set
Top 3%
1.7%
18
Journal of Neural Engineering
221 papers in training set
Top 1%
1.7%
19
Journal of Neuroscience Methods
122 papers in training set
Top 1%
1.7%
20
Journal of Neurotrauma
31 papers in training set
Top 0.3%
1.5%
21
eneuro
439 papers in training set
Top 5%
1.5%
22
Advanced Science
286 papers in training set
Top 5%
1.5%
23
The Journal of Neuroscience
1025 papers in training set
Top 8%
1.5%
24
Communications Biology
993 papers in training set
Top 18%
1.4%
25
Brain Research
38 papers in training set
Top 0.4%
1.3%
26
iScience
1154 papers in training set
Top 26%
1.1%
27
Neuromodulation: Technology at the Neural Interface
14 papers in training set
Top 0.2%
1.1%
28
Experimental Brain Research
53 papers in training set
Top 0.6%
1.0%
29
Frontiers in Human Neuroscience
77 papers in training set
Top 2%
1.0%
30
Progress in Neurobiology
47 papers in training set
Top 0.8%
0.9%