Hierarchical predictive coding in distributed pain circuits

Predictive coding is a computational theory on describing how the brain perceives and acts, which has been widely adopted in sensory processing and motor control. Nociceptive and pain processing involves a large and distributed network of circuits. However, it is still unknown whether this distribut...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in neural circuits Vol. 17; p. 1073537
Main Author: Chen, Zhe Sage
Format: Journal Article
Language:English
Published: Switzerland Frontiers Research Foundation 03.03.2023
Frontiers Media S.A
Subjects:
active inference
Animals
Brain
Brain research
cingulate-insula hub
Circuits
Computational neuroscience
Cortex (cingulate)
Emotions
Gyrus Cinguli
hierarchical predictive coding
Humans
Hypothalamus
Information processing
Medical imaging
Motor task performance
Neural coding
neural oscillations
Neuroimaging
Neuroscience
Oscillations
Pain
pain network
Pain Perception
prediction error
Sensation
Sensory integration
Sensory neurons
Somatosensory cortex
Spinal cord
hierarchical predictive coding
cingulate-insula hub
pain network
traveling waves
active inference
prediction error
neural oscillations
neurotransmitter
ISSN:1662-5110, 1662-5110
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Predictive coding is a computational theory on describing how the brain perceives and acts, which has been widely adopted in sensory processing and motor control. Nociceptive and pain processing involves a large and distributed network of circuits. However, it is still unknown whether this distributed network is completely decentralized or requires networkwide coordination. Multiple lines of evidence from human and animal studies have suggested that the cingulate cortex and insula cortex (cingulate-insula network) are two major hubs in mediating information from sensory afferents and spinothalamic inputs, whereas subregions of cingulate and insula cortices have distinct projections and functional roles. In this mini-review, we propose an updated hierarchical predictive coding framework for pain perception and discuss its related computational, algorithmic, and implementation issues. We suggest active inference as a generalized predictive coding algorithm, and hierarchically organized traveling waves of independent neural oscillations as a plausible brain mechanism to integrate bottom-up and top-down information across distributed pain circuits.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
Reviewed by: Alex Pitti, CY Cergy Paris Université, France; Etienne Vachon-Presseau, McGill University, Canada
Edited by: Edward S. Ruthazer, McGill University, Canada
ISSN:1662-5110
1662-5110
DOI:10.3389/fncir.2023.1073537