Evidence map›Paper›PMID 33530043›Full record

ArticleNeurosciences (Riyadh, Saudi Arabia)2021

Developing fMRI protocol for clinical use

Rafat S Mohtasib, Jamaan S Alghamdi, Salah M Baz, Haya F Aljoudi, Ahmed M Masawi, Aman A Jobeir

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurosciences (Riyadh, Saudi Arabia), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Rafat S MohtasibFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Jamaan S AlghamdiFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Salah M BazFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Haya F AljoudiFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Ahmed M MasawiFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Aman A JobeirFrom Molecular & Functional Imaging (Mohtasib, Masawi, Jobeir), Department of Neuroscience (Baz), School of Medicine (Mohtasib,) Alfaisal University, Riyadh, and from School of Medical Imaging (Alghamdi), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
King Abdulaziz University · SAAlfaisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess a baseline assessment using developed functional magnetic resonance imaging (fMRI) language paradigms for Arabic-speakers.

methods24-healthy right-handed volunteers scanned on a 3.0 Tesla MRI machine. For fMRI, a BOLD-sensitive sequence used to measure signals over time across 6 language paradigms: rhyming (RH), semantic category generations (SCG), silent word generation (SWG), verb generation picture (VGp), verb generation word (VGw), and verb generation audio (VGa). fMRI data was analyzed using FMRIB Software Library (FSL).

resultsWe found that VGa, SWG, VGw and VGp robustly activated language-related regions in the dominant hemisphere. RH and SCG failed to adequately define these activation regions but this may be related to the study's preliminary nature and limitations. After assessment of their validity, considerable activation of the inferior frontal gyrus during VGa, SWG, VGw and VGp suggests that these paradigms have the potential for localizing of Broca's area in native Arabic speakers.

conclusionSet of well adapted, and evidence-based, fMRI paradigms were established for Arabic-speakers to enable accurate and sufficient localization and lateralization of the language area. After validation, these paradigms may provide sequences for accurate localization of brain language areas, and could be used as a presurgical evaluation tool.

Indexed as

LanguageBrainBrain MappingFunctional LateralityHumansMagnetic Resonance ImagingProspective Studies

Identifiers

PMID33530043
PMCPMC8015493
OpenAlexW3128691638

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.