Keywords
pain signature, neuroimaging, machine learning, saliency, MVPA, specificity
Abstract
Developing an objective biomarker for pain assessment is crucial for understanding neural coding mechanisms of pain in the human brain as well as for effective treatment of pain disorders. Neuroimaging techniques have been proven to be powerful tools in the ongoing quest for a pain signature in the human brain. Although there is still a long way to go before achieving a truly successful pain signature based on neuroimaging techniques, important progresses have been made through great efforts in the last two decades by the Pain Society. Here, we focus on neural responses to transient painful stimuli in healthy people, and review the relevant studies on the identification of a neuroimaging signature for pain.
Publisher
Tsinghua University Press
Recommended Citation
Qian Su, Yingchao Song, Rui Zhao et al. A review on the ongoing quest for a pain signature in the human brain. Brain Science Advances 2019, 05(04): 274-287.
Included in
Biomedical Engineering and Bioengineering Commons, Nervous System Diseases Commons, Neurology Commons, Neuroscience and Neurobiology Commons, Neurosciences Commons, Neurosurgery Commons
