Evidence map›Paper›PMID 26876960›Full record

ArticleMagnetic resonance in medicine2017

Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality.

Catherine Poulsen, Daniel G Wakeman, Seyed Reza Atefi, Phan Luu, Amy Konyn, Giorgio Bonmassar

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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  13. EEG-Informed fMRI: A Review of Data Analysis Methods.Frontiers in human neuroscience · 2018
    Review
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

6 authors.

Catherine PoulsenElectrical Geodesics, Inc, Eugene, Oregon, USA.
Daniel G WakemanA. A. Martinos Center, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Seyed Reza AtefiA. A. Martinos Center, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Phan LuuElectrical Geodesics, Inc, Eugene, Oregon, USA.
Amy KonynElectrical Geodesics, Inc, Eugene, Oregon, USA.
Giorgio BonmassarA. A. Martinos Center, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
High-Field MR Compatible Dense Array EEG using Polymer Thick Film TechnologyR44NS071988 · NINDS · ELECTRICAL GEODESICS, INC. · PI POULSEN, CATHERINE · 2014 to 2016
$1.7M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Deep Brain Stimulation System for Magnetic Resonance ImagingU01NS075026 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO, ESKANDAR, EMAD N · 2013 to 2015
$1.1M
High-Field MR-Compatible Dense Array EEG using Polymer Thick Film TechnologyR43NS071988 · NINDS · ELECTRICAL GEODESICS, INC. · PI POULSEN, CATHERINE · 2010 to 2011
$703k
The Virtual Patient Simulator of Patients with Deep Brain Stimulation ImplantsR21EB016449 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO, MAKRIS, NIKOLAOS · 2013 to 2014
$465k
Geodesic EEG SystemS10OD010759 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI BONMASSAR, GIORGIO · 2012 to 2012
$202k
NCRR NIH HHS P41 RR014075NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIBIB NIH HHS R21 EB016449NIH HHS S10 OD010759NINDS NIH HHS R43 NS071988NINDS NIH HHS R44 NS071988NINDS NIH HHS U01 NS075026
6 · The paper itself

Abstract

purposeTo develop a 256-channel dense-array electroencephalography (dEEG) sensor net (the Ink-Net) using high-resistance polymer thick film (PTF) technology to improve safety and data quality during simultaneous dEEG/MRI.

methodsHeating safety was assessed with temperature measurements in an anthropomorphic head phantom during a 30-min, induced-heating scan at 7T. MRI quality assessment used B1 field mapping and functional MRI (fMRI) retinotopic scans in three humans at 3T. Performance of the 256-channel PTF Ink-Net was compared with a 256-channel MR-conditional copper-wired electroencephalography (EEG) net and to scans with no sensor net. A visual evoked potential paradigm assessed EEG quality within and outside the 3T scanner.

resultsPhantom temperature measurements revealed nonsignificant heating (ISO 10974) in the presence of either EEG net. In human B1 field and fMRI scans, the Ink-Net showed greatly reduced cross-modal artifact and less signal degradation than the copper-wired net, and comparable quality to MRI without sensor net. Cross-modal ballistocardiogram artifact in the EEG was comparable for both nets.

conclusionHigh-resistance PTF technology can be effectively implemented in a 256-channel dEEG sensor net for MR conditional use at 7T and with significantly improved structural and fMRI data quality as assessed at 3T. Magn Reson Med 77:895-903, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

ElectroencephalographyMagnetic Resonance ImagingAdultEquipment DesignHeadHot TemperatureHumansMaleMiddle AgedModels, BiologicalPhantoms, ImagingPolymersPolymersanthropomorphic head phantomB1 mapseccentricity mapsfMRI/BOLDISO10974temperature measurements

Identifiers

PMID26876960
PMCPMC4985508

What OpenQuestion holds

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LicenceTDM
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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.