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Parallel cortical-brainstem pathways to attentional analgesia.
- Source :
-
NeuroImage [Neuroimage] 2021 Feb 01; Vol. 226, pp. 117548. Date of Electronic Publication: 2020 Nov 11. - Publication Year :
- 2021
-
Abstract
- Pain demands attention, yet pain can be reduced by focusing attention elsewhere. The neural processes involved in this robust psychophysical phenomenon, attentional analgesia, are still being defined. Our previous fMRI study linked activity in the brainstem triad of locus coeruleus (LC), rostral ventromedial medulla (RVM) and periaqueductal grey (PAG) with attentional analgesia. Here we identify and model the functional interactions between these regions and the cortex in healthy human subjects (n = 57), who received painful thermal stimuli whilst simultaneously performing a visual attention task. RVM activity encoded pain intensity while contralateral LC activity correlated with attentional analgesia. Psycho-Physiological Interaction analysis and Dynamic Causal Modelling identified two parallel paths between forebrain and brainstem. These connections are modulated by attentional demand: a bidirectional anterior cingulate cortex (ACC) - right-LC loop, and a top-down influence of task on ACC-PAG-RVM. By recruiting discrete brainstem circuits, the ACC is able to modulate nociceptive input to reduce pain in situations of conflicting attentional demand.<br /> (Copyright © 2020. Published by Elsevier Inc.)
- Subjects :
- Adolescent
Adult
Brain Stem physiopathology
Cerebral Cortex physiopathology
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Neural Pathways diagnostic imaging
Neural Pathways physiopathology
Pain physiopathology
Pain psychology
Pain Management
Young Adult
Analgesia psychology
Attention physiology
Brain Stem diagnostic imaging
Cerebral Cortex diagnostic imaging
Pain diagnostic imaging
Pain Perception physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 226
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 33186712
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2020.117548