Cortical Representation of Pain and Touch: Evidence from Combined Functional Neuroimaging and Electrophysiology in Non-human Primates.
10.1007/s12264-017-0133-2
- Author:
Li Min CHEN
1
Author Information
1. Departments of Radiology and Radiological Sciences and Psychology, Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, 37232, USA. limin.chen@vanderbilt.edu.
- Publication Type:Journal Article
- Keywords:
Cortex;
Functional MRI;
Functional connectivity;
Nociception;
Non-human primate
- MeSH:
Animals;
Cerebral Cortex;
diagnostic imaging;
physiopathology;
Humans;
Pain;
diagnostic imaging;
pathology;
physiopathology;
Primates;
Touch;
physiology
- From:Neuroscience Bulletin
2018;34(1):165-177
- CountryChina
- Language:English
-
Abstract:
Human functional MRI studies in acute and various chronic pain conditions have revolutionized how we view pain, and have led to a new theory that complex multi-dimensional pain experience (sensory-discriminative, affective/motivational, and cognitive) is represented by concurrent activity in widely-distributed brain regions (termed a network or pain matrix). Despite these breakthrough discoveries, the specific functions proposed for these regions remain elusive, because detailed electrophysiological characterizations of these regions in the primate brain are lacking. To fill in this knowledge gap, we have studied the cortical areas around the central and lateral sulci of the non-human primate brain with combined submillimeter resolution functional imaging (optical imaging and fMRI) and intracranial electrophysiological recording. In this mini-review, I summarize and present data showing that the cortical circuitry engaged in nociceptive processing is much more complex than previously recognized. Electrophysiological evidence supports the engagement of a distinct nociceptive-processing network within SI (i.e., areas 3a, 3b, 1 and 2), SII, and other areas along the lateral sulcus. Deafferentation caused by spinal cord injury profoundly alters the relationships between fMRI and electrophysiological signals. This finding has significant implications for using fMRI to study chronic pain conditions involving deafferentation in humans.
