Evidence map›Paper›PMID 34101115›Full record

ArticleNeuroinformatics2022

Multiple Functional Brain Networks Related to Pain Perception Revealed by fMRI.

Matteo Damascelli, Todd S Woodward, Nicole Sanford, Hafsa B Zahid, Ryan Lim, Alexander Scott, John K Kramer

Open access · hybridAbstract read
In one paragraph

Article in Neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. The Functional Anatomy of Nociception: Effective Connectivity in Chronic Pain and Placebo Response.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. DPsychopharmacology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Neuroimaging Assessment of Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Matteo DamascelliDepartment of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, V6T 1Z4, Canada.
Todd S WoodwardBC Mental Health & Addictions Research Institute, BC Children's Hospital Research Institute, 938 West 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
Nicole SanfordBC Mental Health & Addictions Research Institute, BC Children's Hospital Research Institute, 938 West 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
Hafsa B ZahidBC Mental Health & Addictions Research Institute, BC Children's Hospital Research Institute, 938 West 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
Ryan LimBC Mental Health & Addictions Research Institute, BC Children's Hospital Research Institute, 938 West 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
Alexander ScottDepartment of Physical Therapy, University of British Columbia, 2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.
John K KramerICORD, Blusson Spinal Cord Centre, 818 West 10th Ave, Vancouver, BC, V5Z 1M9, Canada. kramer@icord.org.
BC Children's Hospital · CAUniversity of British Columbia · CASpinal Cord Injury BC · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainHumansPainPain PerceptionAttentionFunctional brain networksFunctional connectivityFunctional MRIHemodynamic responsesMultivariate least-squares regressionPainPrincipal component analysis

Identifiers

PMID34101115
PMCPMC9537130
OpenAlexW3171803801

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.