Evidence map›Paper›PMID 28116239›Full record

ArticleNeuroImage. Clinical2017

Characterization of functional brain activity and connectivity using EEG and fMRI in patients with sickle cell disease.

Michelle Case, Huishi Zhang, John Mundahl, Yvonne Datta, Stephen Nelson, Kalpna Gupta, Bin He

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 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

7 authors at 2 institutions in 1 country.

Michelle CaseDepartment of Biomedical Engineering, University of Minnesota, USA.
Huishi ZhangDepartment of Biomedical Engineering, University of Minnesota, USA.
John MundahlDepartment of Biomedical Engineering, University of Minnesota, USA.
Yvonne DattaDepartment of Medicine, University of Minnesota, USA.
Stephen NelsonChildren's Hospitals and Clinics of Minnesota, MN, USA.
Kalpna GuptaDepartment of Medicine, University of Minnesota, USA.
Bin HeDepartment of Biomedical Engineering, University of Minnesota, USA; Institute for Engineering in Medicine, University of Minnesota, USA.
University of Minnesota · USChildren’s Minnesota - St. Paul Hospital · 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
Electrophysiological Source Imaging of Partial EpilepsyR01NS096761 · NINDS · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2025
$3.6M
Mind-body awareness training and brain-computer interfaceR01AT009263 · NCCIH · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$2.0M
Integrative Training Program in NeuroimagingT32EB008389 · NIBIB · UNIVERSITY OF MINNESOTA · PI CHEN, WEI · 2008 to 2019
$1.4M
Spatio-temporal Dynamic Imaging of Seizure SourcesR01EB021027 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2016 to 2020
$1.3M
NCCIH NIH HHS R01 AT009263NHLBI NIH HHS U01 HL117664NIBIB NIH HHS R01 EB021027NIBIB NIH HHS T32 EB008389NINDS NIH HHS R01 NS096761
6 · The paper itself

Abstract

Sickle cell disease (SCD) is a red blood cell disorder that causes many complications including life-long pain. Treatment of pain remains challenging due to a poor understanding of the mechanisms and limitations to characterize and quantify pain. In the present study, we examined simultaneously recording functional MRI (fMRI) and electroencephalogram (EEG) to better understand neural connectivity as a consequence of chronic pain in SCD patients. We performed independent component analysis and seed-based connectivity on fMRI data. Spontaneous power and microstate analysis was performed on EEG-fMRI data. ICA analysis showed that patients lacked activity in the default mode network (DMN) and executive control network compared to controls. EEG-fMRI data revealed that the insula cortex's role in salience increases with age in patients. EEG microstate analysis showed patients had increased activity in pain processing regions. The cerebellum in patients showed a stronger connection to the periaqueductal gray matter (involved in pain inhibition), and negative connections to pain processing areas. These results suggest that patients have reduced activity of DMN and increased activity in pain processing regions during rest. The present findings suggest resting state connectivity differences between patients and controls can be used as novel biomarkers of SCD pain.

Indexed as

AdolescentAdultAnalgesicsAnemia, Sickle CellBrainBrain MappingElectroencephalographyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeural PathwaysOxygenPain MeasurementYoung AdultAnalgesicsOxygenBOLD, blood-oxygen-level dependentCBA, cardioballistic artifactDMN, default mode networkECN, executive control networkEEGEEG, electroencephalographyFDR, false discovery ratefMRI, functional magnetic resonance imagingFunctional MRIFWHM, full width at half maximumGLM, general linear modelHRF, hemodynamic response functionICA, independent component analysisMNI, montreal neurological instituteOBS, optimal basis setPAG, periaqueductal grayPainPCA, principal component analysisPCC, posterior cingulate cortexPFC, prefrontal cortexResting state networksROI, region of interestRSN, resting state networksSCD, sickle cell diseaseSickle cell diseaseSMA, supplementary motor area

Identifiers

PMID28116239
PMCPMC5226854
OpenAlexW2564421135

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.