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Decoding the perception of endogenous pain from resting-state MEG
Po Chih Kuo
, Yi Ti Chen
,
Yong Sheng Chen
*
,
Li Fen Chen
*
Corresponding author for this work
Institute of Computer Science and Engineering
Institute of Brain Science
Research output
:
Contribution to journal
›
Article
›
peer-review
25
Scopus citations
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Keyphrases
Brain Activity
100%
Resting State
100%
Magnetoencephalography
100%
Endogenous Pain
100%
Menstrual Pain
50%
Sample Entropy
50%
Pain Score
50%
Pain Perception
50%
Prediction Accuracy
25%
External Stimuli
25%
Beamforming Method
25%
Correlation Coefficient
25%
Brain Regions
25%
Temporal Features
25%
High Dimension
25%
Primary Dysmenorrhea
25%
Spectral Features
25%
Spatiotemporal Pattern
25%
Subjective Experience
25%
Neural Representation
25%
Perceived Intensity
25%
Objective Assessment
25%
Posterior Cingulate Gyrus
25%
Precuneus
25%
Asymmetric Index
25%
Self-reported Pain
25%
Perceived Pain
25%
Neuroscience
Electroencephalogram
100%
Gyri
25%
Nociception
25%
Posterior Cingulate
25%
Precuneus
25%