Evidence map›Paper›PMID 30076768›Full record

ArticleHuman brain mapping2018

Repeatability of language fMRI lateralization and localization metrics in brain tumor patients.

Shruti Agarwal, Jun Hua, Haris I Sair, Sachin Gujar, Chetan Bettegowda, Hanzhang Lu, Jay J Pillai

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Resting State Functional MR Imaging of Language Function.Neuroimaging clinics of North America · 2021
    Review
  7. Developing fMRI protocol for clinical useNeurosciences (Riyadh, Saudi Arabia) · 2021
    Article
  8. Article
  9. Article
  10. 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

7 authors at 2 institutions in 1 country.

Shruti AgarwalDivision of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-0902-5354
Jun HuaDivision of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Haris I SairDivision of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Sachin GujarDivision of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Chetan BettegowdaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Hanzhang LuDivision of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jay J PillaiDivision of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-8306-7192
Johns Hopkins University · USKennedy Krieger Institute · US

Funding

Neuroimaging tools for presurgical brain mappingR42CA173976 · NCI · PRISM CLINICAL IMAGING INC. · PI DEYOE, EDGAR A, PILLAI, JAY J · 2015 to 2017
$1.6M
Presurgical functional MRI in patients with large susceptibility artifactsR21EB023538 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI HUA, JUN · 2016 to 2017
$444k
NCI NIH HHS R42 CA173976NHLBI NIH HHS HHSN268201500021CNIBIB NIH HHS R21 EB023538
6 · The paper itself

Abstract

To assess the within-subject intra-scan session repeatability of language functional MRI (fMRI) activation maps in patients with brain tumors who were undergoing presurgical fMRI as part of their preoperative clinical workup. Sentence completion (SC) and silent word generation (SWG) tasks were used for language localization and hemispheric lateralization for identifying the primary language cortex. Within-subject repeatability for each of these paradigms was assessed in right-handed patients-37 for SC and 78 for SWG. Repeatability of activation maps between consecutive runs of the same task within the same scan session was evaluated by comparing lateralization indexes in holohemispheric and regional language areas. Displacement of center of activation between consecutive runs was also used to assess the repeatability of activation maps. Holohemispheric and regional language lateralization results demonstrated high intra-subject intra-scan repeatability when lateralization indices were calculated using threshold-dependent and threshold-independent approaches. The high repeatability is demonstrated both when centers of mass of activation are considered within key eloquent regions of the brain, such as Broca's area and Wernicke's area, as well as in larger more inclusive expressive and receptive language regions. We examined two well-known and widely accepted language tasks that are known to activate eloquent language cortex. We have demonstrated very high degree of repeatability at a single-subject level within single scan sessions of language mapping in a large cohort of brain tumor patients undergoing presurgical fMRI across several years at our institution.

Indexed as

LanguageAdultBrain MappingBrain NeoplasmsBroca AreaFunctional LateralityHumansMagnetic Resonance ImagingWernicke Arealanguage fMRIlateralizationpresurgical mappingrepeatabilityreproducibility

Identifiers

PMID30076768
PMCPMC6218318
OpenAlexW2886194511

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.