Evidence map›Paper›PMID 32329951›Full record

ArticleHuman brain mapping2020

Language lateralization from task-based and resting state functional MRI in patients with epilepsy.

Rachel Rolinski, Xiaozhen You, Javier Gonzalez-Castillo, Gina Norato, Richard C Reynolds, Sara K Inati, William H Theodore

Abstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. A Rapid fMRI Paradigm for Localisation of the Language Network.The European journal of neuroscience · 2026
    Article
  6. Article
  7. Noninvasive imaging techniques to map language areas using BOLD signal fluctuations in pediatric epilepsy: a review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Review
  8. Review
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  12. Robust-tedana: An automated denoising pipeline for multi-echo fMRI data.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Evaluating the concordance of functional MRI-based language lateralization and Wada testing in epilepsy patients: A single-center analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023
    Article
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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.

Rachel RolinskiNational Institute of Neurological Disorders and Stroke, Clinical Epilepsy Section, Bethesda, Maryland, USA.ORCID 0000-0003-1209-1563
Xiaozhen YouNational Institute of Neurological Disorders and Stroke, Clinical Epilepsy Section, Bethesda, Maryland, USA.
Javier Gonzalez-CastilloNational Institute of Mental Health, Section on Functional Imaging Methods, Bethesda, Maryland, USA.
Gina NoratoNational Institute of Neurological Disorders and Stroke, Clinical Trials Unit, Bethesda, Maryland, USA.
Richard C ReynoldsNational Institute of Mental Health, Scientific and Statistical Computing Core, Bethesda, Maryland, USA.
Sara K InatiNational Institute of Neurological Disorders and Stroke, Electroencephalography Section, Bethesda, Maryland, USA.
William H TheodoreNational Institute of Neurological Disorders and Stroke, Clinical Epilepsy Section, Bethesda, Maryland, USA.

Funding

Scientific and Statistical Computing CoreZICMH002888 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI TAYLOR, PAUL · 2009 to 2025
$30.9M
Physiologic And Pharmacologic Studies In EpilepsyZIANS002236 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI THEODORE, WILLIAM · 2009 to 2020
$14.2M
NIH HHS ZIANS002236
6 · The paper itself

Abstract

We compared resting state (RS) functional connectivity and task-based fMRI to lateralize language dominance in 30 epilepsy patients (mean age = 33; SD = 11; 12 female), a measure used for presurgical planning. Language laterality index (LI) was calculated from task fMRI in frontal, temporal, and frontal + temporal regional masks using LI bootstrap method from SPM12. RS language LI was assessed using two novel methods of calculating RS language LI from bilateral Broca's area seed based connectivity maps across regional masks and multiple thresholds (p < .05, p < .01, p < .001, top 10% connections). We compared LI from task and RS fMRI continuous values and dominance classifications. We found significant positive correlations between task LI and RS LI when functional connectivity thresholds were set to the top 10% of connections. Concordance of dominance classifications ranged from 20% to 30% for the intrahemispheric resting state LI method and 50% to 63% for the resting state LI intra- minus interhemispheric difference method. Approximately 40% of patients left dominant on task showed RS bilateral dominance. There was no difference in LI concordance between patients with right-sided and left-sided resections. Early seizure onset (<6 years old) was not associated with atypical language dominance during task-based or RS fMRI. While a relationship between task LI and RS LI exists in patients with epilepsy, language dominance is less lateralized on RS than task fMRI. Concordance of language dominance classifications between task and resting state fMRI depends on brain regions surveyed and RS LI calculation method.

Indexed as

LanguageAdultCerebral CortexConnectomeDrug Resistant EpilepsyEcho-Planar ImagingFemaleFunctional LateralityHumansMaleNerve NetPreoperative CareYoung AdultepilepsyfMRIfunctional lateralitylanguagemagnetic resonance imagingresting stateseizures

Identifiers

PMID32329951
PMCPMC7336139

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.