Evidence map›Paper›PMID 27330979›Full record

ArticleNeuroImage. Clinical2015

Detection and quantification of regional cortical gray matter damage in multiple sclerosis utilizing gradient echo MRI.

Jie Wen, Dmitriy A Yablonskiy, Jie Luo, Samantha Lancia, Charles Hildebolt, Anne H Cross

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  16. Brain imaging of locomotion in neurological conditions.Neurophysiologie clinique = Clinical neurophysiology · 2018
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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

6 authors at 2 institutions in 1 country.

Jie WenDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Dmitriy A YablonskiyDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Jie LuoResearch Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Samantha LanciaDepartment of Neurology, Washington University, St. Louis, MO 63110, USA.
Charles HildeboltDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Anne H CrossDepartment of Neurology, Washington University, St. Louis, MO 63110, USA.
Washington University in St. Louis · USMassachusetts Institute of Technology · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
proj 3 - NINDS INSTIUTIONAL CENTER CORE GRANTS TO SUPPORT NEUROSCIENCE RESEARP30NS048056 · NINDS · WASHINGTON UNIVERSITY · PI MINTUN, MARK A. · 2004 to 2014
$7.4M
RES FACIL CONST: NEUROSCIENCE: LANGUAGE, COGNITION &BEHAVIOR, PAIN, DEPRESSIONC06RR020092 · NCRR · WASHINGTON UNIVERSITY · PI STANLEY, SAMUEL · 2004 to 2004
$1.6M
NCATS NIH HHS UL1 TR000448NCRR NIH HHS C06 RR020092NINDS NIH HHS P30 NS048056
6 · The paper itself

Abstract

Cortical gray matter (GM) damage is now widely recognized in multiple sclerosis (MS). The standard MRI does not reliably detect cortical GM lesions, although cortical volume loss can be measured. In this study, we demonstrate that the gradient echo MRI can reliably and quantitatively assess cortical GM damage in MS patients using standard clinical scanners. High resolution multi-gradient echo MRI was used for regional mapping of tissue-specific MRI signal transverse relaxation rate values (R2(*)) in 10 each relapsing-remitting, primary-progressive and secondary-progressive MS subjects. A voxel spread function method was used to correct artifacts induced by background field gradients. R2(*) values from healthy controls (HCs) of varying ages were obtained to establish baseline data and calculate ΔR2(*) values - age-adjusted differences between MS patients and HC. Thickness of cortical regions was also measured in all subjects. In cortical regions, ΔR2(*) values of MS patients were also adjusted for changes in cortical thickness. Symbol digit modalities (SDMT) and paced auditory serial addition (PASAT) neurocognitive tests, as well as Expanded Disability Status Score, 25-foot timed walk and nine-hole peg test results were also obtained on all MS subjects. We found that ΔR2(*) values were lower in multiple cortical GM and normal appearing white matter (NAWM) regions in MS compared with HC. ΔR2(*) values of global cortical GM and several specific cortical regions showed significant (p < 0.05) correlations with SDMT and PASAT scores, and showed better correlations than volumetric measures of the same regions. Neurological tests not focused on cognition (Expanded Disability Status Score, 25-foot timed walk and nine-hole peg tests) showed no correlation with cortical GM ΔR2(*) values. The technique presented here is robust and reproducible. It requires less than 10 min and can be implemented on any MRI scanner. Our results show that quantitative tissue-specific R2(*) values can serve as biomarkers of tissue injury due to MS in the brain, including the cerebral cortex, an area that has been difficult to evaluate using standard MRI.

Indexed as

AdultAgedCerebral CortexCognitive DysfunctionEcho-Planar ImagingFemaleHumansMaleMiddle AgedMultiple SclerosisYoung Adult25FTW, 25-foot timed walk9HPT, Nine-hole peg testCognitive disabilityCortical gray matterEDSS, expanded disability status scaleGEPCI, gradient echo plural contrast imagingGM, gray matterHC, healthy controlMPRAGE, magnetization prepared rapid gradient echoMS, multiple sclerosisMultiple sclerosisNAWM, normal appearing white matterNCGMV, normalized cortical gray matter volumePASAT, paced auditory serial addition testPPMS, primary-progressive multiple sclerosisQuantitativeR2*ROI, region of interestRRMS, relapsing–remitting multiple sclerosisSDMT, symbol digit modalities testSPMS, secondary-progressive multiple sclerosisWMLL, white matter lesion loadWM, white matter

Identifiers

PMID27330979
PMCPMC4907986
OpenAlexW1193777686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.