Evidence map›Paper›PMID 34421509›Full record

ArticleFrontiers in neuroscience2021

Not All Lesioned Tissue Is Equal: Identifying Pericavitational Areas in Chronic Stroke With Tissue Integrity Gradation

Lisa C Krishnamurthy, Venkatagiri Krishnamurthy, Amy D Rodriguez, Keith M McGregor, Clara N Glassman, Gabriell S Champion, Natalie Rocha, Stacy M Harnish, Samir R Belagaje, Suprateek Kundu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

11 authors at 5 institutions in 1 country.

Lisa C KrishnamurthyCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Venkatagiri KrishnamurthyCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Amy D RodriguezCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Keith M McGregorCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Clara N GlassmanDepartment of Nuclear and Radiological Engineering and Medical Physics, Georgia Institute of Technology, Atlanta, GA, United States.
Gabriell S ChampionCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Natalie RochaCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Stacy M HarnishDepartment of Speech and Hearing Science, The Ohio State University, Columbus, OH, United States.
Samir R BelagajeDepartment of Neurology, Emory University, Atlanta, GA, United States.
Suprateek KunduDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States.
Bruce A CrossonCenter for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, United States.
Atlanta VA Health Care System · USEmory University · USGeorgia State University · USGeorgia Institute of Technology · USThe Ohio State University · US

Funding

Beyond lesion-language mapping in aphasia: A novel imaging-based prediction modelIK1RX002629 · VA · VETERANS HEALTH ADMINISTRATION · PI KRISHNAMURTHY, LISA C. · 2019 to 2021
–
RRD VA I01 RX003093RRD VA I21 RX003581RRD VA I50 RX002358RRD VA IK1 RX002629RRD VA IK2 RX002934
6 · The paper itself

Abstract

Stroke-related tissue damage within lesioned brain areas is topologically non-uniform and has underlying tissue composition changes that may have important implications for rehabilitation. However, we know of no uniformly accepted, objective non-invasive methodology to identify pericavitational areas within the chronic stroke lesion. To fill this gap, we propose a novel magnetic resonance imaging (MRI) methodology to objectively quantify the lesion core and surrounding pericavitational perimeter, which we call tissue integrity gradation

Indexed as

cerebral blood flowpericavitational areastroke lesiontask fMRITIGR

Identifiers

PMID34421509
PMCPMC8378269
OpenAlexW3190088980

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.