Evidence map›Paper›PMID 29172093›Full record

ArticleSeizure2018

Quantification of perivascular spaces at 7T: A potential MRI biomarker for epilepsy.

Rebecca Emily Feldman, John Watson Rutland, Madeline Cara Fields, Lara Vanessa Marcuse, Puneet S Pawha, Bradley Neil Delman, Priti Balchandani

Open access · bronzeAbstract read
In one paragraph

Article in Seizure, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 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.

Rebecca Emily FeldmanTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States. Electronic address: rebecca.feldman2@mountsinai.org.
John Watson RutlandTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Madeline Cara FieldsDepartment of Neurology, Mount Sinai Hospital, New York, NY, United States.
Lara Vanessa MarcuseDepartment of Neurology, Mount Sinai Hospital, New York, NY, United States.
Puneet S PawhaRadiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Bradley Neil DelmanRadiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Priti BalchandaniTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Icahn School of Medicine at Mount Sinai · USMount Sinai Hospital · US

Funding

7T MRI to reveal structural, connectomic and metabolic imaging markers for the neurobiology of depressionR01MH109544 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
High Resolution Magnetic Resonance Imaging and Spectroscopy of Epilepsy at 7TR00NS070821 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2013 to 2015
$734k
NIMH NIH HHS R01 MH109544NINDS NIH HHS R00 NS070821
6 · The paper itself

Abstract

purpose7T (7T) magnetic resonance imaging (MRI) facilitates the visualization of the brain with resolution and contrast beyond what is available at conventional clinical field strengths, enabling improved detection and quantification of small structural features such as perivascular spaces (PVSs). The distribution of PVSs, detected in vivo at 7T, may act as a biomarker for the effects of epilepsy. In this work, we systematically quantify the PVSs in the brains of epilepsy patients and compare them to healthy controls.

methodsT

resultsThere was a significant difference between the |AI

conclusionThese findings suggest that epilepsy may be associated with significantly asymmetric distribution of PVSs in the brain. Furthermore, the region of maximal asymmetry of the PVSs may help provide localization or confirmation of the seizure onset zone.

Indexed as

Image Processing, Computer-AssistedAdolescentAdultAgedBrainCerebral VentriclesEpilepsyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPia MaterYoung Adult7 TeslaFocal epilepsyMagnetic resonance imagingMRIPerivascular spaceT2TSEUltra-high fieldVirchow Robin space

Identifiers

PMID29172093
PMCPMC5909959
OpenAlexW2770312000

What OpenQuestion holds

Textmetadata
LicenceTDM
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.