Evidence map›Paper›PMID 32509544›Full record

ArticleJournal of epilepsy research2019

Determination of Differences in Seed-Based Resting State Functional Magnetic Resonance Imaging Language Networks in Pediatric Patients with Left- and Right-Lateralized Language: A Pilot Study.

Audrey Nath, Meghan Robinson, John Magnotti, Patrick Karas, Daniel Curry, Michael Paldino

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Article in Journal of epilepsy research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Audrey NathDepartment of Pediatric Neurology, Baylor College of Medicine, Houston, TX, USA.
Meghan RobinsonCore for Advanced MRI, Baylor College of Medicine, Houston, TX, USA.
John MagnottiDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Patrick KarasDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Daniel CurryDivision of Pediatric Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Michael PaldinoDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Baylor College of Medicine · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe current tools available for localization of expressive language, including functional magnetic resonance imaging (fMRI) and cortical stimulation mapping (CSM), require that the patient remain stationary and follow language commands with precise timing. Many pediatric epilepsy patients, however, have intact language skills but are unable to participate in these tasks due to cognitive impairments or young age. In adult subjects, there is evidence that language laterality can be determined by resting state (RS) fMRI activity, however there are few studies on the use of RS to accurately predict language laterality in children.

methodsA retrospective review of pediatric patients at Texas Children's Hospital was performed to identify patients who have undergone epilepsy surgical planning over 3 years with language localization using traditional methods of Wada testing, CSM, or task-based fMRI with calculated laterality index, as well as a 7-minute RS scan available without excessive motion or noise. We found the correlation between each subject's left and right Broca's region activity and each of 68 cortical regions.

resultsA group of nine patients with left-lateralized language were found to have greater voxel-wise correlations than a group of six patients with right-lateralized language between a left hemispheric Broca's region seed and the following six cortical regions: left inferior temporal, left lateral orbitofrontal, left pars triangularis, right lateral orbitofrontal, right pars orbitalis and right superior frontal regions.

conclusionsIn a cohort of children with epilepsy, we found that patients with left- and right-hemispheric language lateralization have different RS networks.

Indexed as

EpilepsyfunctionalLanguageMagnetic resonance imaging

Identifiers

PMID32509544
PMCPMC7251337
OpenAlexW3013438877

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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.