Multiple Functional Brain Networks Related to Pain Perception Revealed by fMRI.
Attention
Functional MRI
Functional brain networks
Functional connectivity
Hemodynamic responses
Multivariate least-squares regression
Pain
Principal component analysis
Journal
Neuroinformatics
ISSN: 1559-0089
Titre abrégé: Neuroinformatics
Pays: United States
ID NLM: 101142069
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
accepted:
11
05
2021
pubmed:
9
6
2021
medline:
12
10
2022
entrez:
8
6
2021
Statut:
ppublish
Résumé
The rise of functional magnetic resonance imaging (fMRI) has led to a deeper understanding of cortical processing of pain. Central to these advances has been the identification and analysis of "functional networks", often derived from groups of pre-selected pain regions. In this study our main objective was to identify functional brain networks related to pain perception by examining whole-brain activation, avoiding the need for a priori selection of regions. We applied a data-driven technique-Constrained Principal Component Analysis for fMRI (fMRI-CPCA)-that identifies networks without assuming their anatomical or temporal properties. Open-source fMRI data collected during a thermal pain task (33 healthy participants) were subjected to fMRI-CPCA for network extraction, and networks were associated with pain perception by modelling subjective pain ratings as a function of network activation intensities. Three functional networks emerged: a sensorimotor response network, a salience-mediated attention network, and the default-mode network. Together, these networks constituted a brain state that explained variability in pain perception, both within and between individuals, demonstrating the potential of data-driven, whole-brain functional network techniques for the analysis of pain imaging data.
Identifiants
pubmed: 34101115
doi: 10.1007/s12021-021-09527-6
pii: 10.1007/s12021-021-09527-6
pmc: PMC9537130
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
155-172Informations de copyright
© 2021. The Author(s).
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