Evidence map›Paper›PMID 39485053›Full record

ArticleHuman brain mapping2024

Pain-Discriminating Information Decoded From Spatiotemporal Patterns of Hemodynamic Responses Measured by fMRI in the Human Brain.

Yingchao Song, Xiuzhi Wang, Qian Su, Rui Zhao, Juan Zhang, Wen Qin, Chunshui Yu, Meng Liang

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

8 authors.

Yingchao SongSchool of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, the Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Xiuzhi WangSchool of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, the Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.
Qian SuDepartment of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin, China.
Rui ZhaoDepartment of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0001-5862-0809
Juan ZhangDepartment of Prosthodontics, Stomatological Hospital, Tianjin Medical University, Tianjin, China.
Wen QinState Key Laboratory of Experimental Hematology, Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0002-9121-8296
Chunshui YuSchool of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, the Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.ORCID 0000-0001-5648-5199
Meng LiangSchool of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, the Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China.ORCID 0000-0003-0916-520X

Funding

National Natural Science Foundation of China 81971599National Natural Science Foundation of China 81971694National Natural Science Foundation of China 82030053National Natural Science Foundation of China 82102133National Natural Science Foundation of China 82430063National Natural Science Foundation of China 82472052Project of integrated traditional Chinese and Western Medicine of Tianjin Health Commission 2021076Shandong Postdoctoral Science Foundation SDCX-ZG-202400042Shandong Province Higher Education Institution Youth Innovation and Technology Support Program 2023KJ179Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-001A
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) has been widely used in studying the neural mechanisms of pain in the human brain, primarily focusing on where in the brain pain-elicited neural activities occur (i.e., the spatial distribution of pain-related brain activities). However, the temporal dynamics of pain-elicited hemodynamic responses (HDRs) measured by fMRI may also contain information specific to pain processing but have been largely neglected. Using high temporal resolution fMRI (TR = 0.8 s) data acquired from 62 healthy participants, in the present study we aimed to test whether pain-distinguishing information could be decoded from the spatial pattern of the temporal dynamics (i.e., the spatiotemporal pattern) of HDRs elicited by painful stimuli. Specifically, the peak latency and the response duration were used to characterize the temporal dynamics of HDRs to painful laser stimuli and non-painful electric stimuli, and then were compared between the two conditions (i.e., pain and no-pain) using a voxel-wise univariate analysis and a multivariate pattern analysis. Furthermore, we also tested whether the two temporal characteristics of pain-elicited HDRs and their spatial patterns were associated with pain-related behaviors. We found that the spatial patterns of HDR peak latency and response duration could successfully discriminate pain from no-pain. Interestingly, we also observed that the Pain Vigilance and Awareness Questionnaire (PVAQ) scores were correlated with the average response duration in bilateral insula and secondary somatosensory cortex (S2) and could also be predicted from the across-voxel spatial patterns of response durations in the middle cingulate cortex and middle frontal gyrus only during painful condition but not during non-painful condition. These findings indicate that the spatiotemporal pattern of pain-elicited HDRs may contain pain-specific information and highlight the importance of studying the neural mechanisms of pain by taking advantage of the high sensitivity of fMRI to both spatial and temporal information of brain responses.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingPainAdultElectric StimulationFemaleHemodynamicsHumansMaleReaction TimeYoung AdultfMRImultivariate pattern analysispainpain vigilance and awarenesstemporal characteristic

Identifiers

PMID39485053
PMCPMC11528553

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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.