Evidence map›Paper›PMID 27167709›Full record

ArticleHuman brain mapping2016

Spectral and spatial changes of brain rhythmic activity in response to the sustained thermal pain stimulation.

Clara Huishi Zhang, Abbas Sohrabpour, Yunfeng Lu, Bin He

Abstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Clara Huishi ZhangDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.
Abbas SohrabpourDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.
Yunfeng LuDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.
Bin HeDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.
University of Minnesota System · USUniversity of Minnesota · US

Funding

Cannabinoid-based therapy and approaches to quantify pain in sickle cell diseaseU01HL117664 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA · 2013 to 2018
$9.6M
Multimodal Imaging of Brain Activity and ConnectivityR01EB006433 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2009 to 2012
$1.3M
CRCNS: Spatiotemporal imaging study of the mechanisms of binocular rivalryR01EY023101 · NEI · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2012 to 2014
$1.1M
NEI NIH HHS R01 EY023101NHLBI NIH HHS U01 HL117664NIBIB NIH HHS R01 EB006433
6 · The paper itself

Abstract

The aim of this study was to investigate the neurophysiological correlates of pain caused by sustained thermal stimulation. A group of 21 healthy volunteers was studied. Sixty-four channel continuous electroencephalography (EEG) was recorded while the subject received tonic thermal stimulation. Spectral changes extracted from EEG were quantified and correlated with pain scales reported by subjects, the stimulation intensity, and the time course. Network connectivity was assessed to study the changes in connectivity patterns and strengths among brain regions that have been previously implicated in pain processing. Spectrally, a global reduction in power was observed in the lower spectral range, from delta to alpha, with the most marked changes in the alpha band. Spatially, the contralateral region of the somatosensory cortex, identified using source localization, was most responsive to stimulation status. Maximal desynchrony was observed when stimulation was present. The degree of alpha power reduction was linearly correlated to the pain rating reported by the subjects. Contralateral alpha power changes appeared to be a robust correlate of pain intensity experienced by the subjects. Granger causality analysis showed changes in network level connectivity among pain-related brain regions due to high intensity of pain stimulation versus innocuous warm stimulation. These results imply the possibility of using noninvasive EEG to predict pain intensity and to study the underlying pain processing mechanism in coping with prolonged painful experiences. Once validated in a broader population, the present EEG-based approach may provide an objective measure for better pain management in clinical applications. Hum Brain Mapp 37:2976-2991, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

AdultBrainBrain MappingElectroencephalographyFemaleHot TemperatureHumansMalePainPhysical StimulationYoung AdultelectroencephalographyGranger causalitypain quantificationsource localizationthermal stimulation

Identifiers

PMID27167709
PMCPMC4945371
OpenAlexW2369134619

What OpenQuestion holds

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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.