Evidence map›Paper›PMID 34012006›Full record

ArticleScientific reports2021

Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory.

Qiongge Li, Luca Pasquini, Gino Del Ferraro, Madeleine Gene, Kyung K Peck, Hernán A Makse, Andrei I Holodny

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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.

Qiongge Li *Levich Institute and Physics Department, City College of New York, New York, NY, 10031, USA. qli78@jhmi.edu.
Luca Pasquini *Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Gino Del FerraroLevich Institute and Physics Department, City College of New York, New York, NY, 10031, USA.
Madeleine GeneDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Kyung K PeckDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Hernán A MakseLevich Institute and Physics Department, City College of New York, New York, NY, 10031, USA.
Andrei I HolodnyDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Bao Q Vuong · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ADRIANA ESPINOSA, FRANCESCA M GANY · 2008 to 2026
$28.1M
Supplement: Network Methods for Brain Imaging with TumorsR01EB022720 · NIBIB · CITY COLLEGE OF NEW YORK · PI HOLODNY, ANDREI I, MAKSE, HERNAN · 2016 to 2018
$1.3M
Application of the principle of symmetry to neural circuitry: From building blocks to neural synchronization in the connectomeR01EB028157 · NIBIB · CITY COLLEGE OF NEW YORK · PI MAKSE, HERNAN, ZIMMER, MANUEL · 2020 to 2020
$1.1M
NCI NIH HHS P30 CA008748NCI NIH HHS U54 CA132378NCI NIH HHS U54 CA137788NIBIB NIH HHS R01 EB022720NIBIB NIH HHS R01 EB028157
6 · The paper itself

Abstract

Bilingualism requires control of multiple language systems, and may lead to architectural differences in language networks obtained from clinical fMRI tasks. Emerging connectivity metrics such as k-core may capture these differences, highlighting crucial network components based on resiliency. We investigated the influence of bilingualism on clinical fMRI language tasks and characterized bilingual networks using connectivity metrics to provide a patient care benchmark. Sixteen right-handed subjects (mean age 42-years; nine males) without neurological history were included: eight native English-speaking monolinguals and eight native Spanish-speaking (L1) bilinguals with acquired English (L2). All subjects underwent fMRI with gold-standard clinical language tasks. Starting from active clusters on fMRI, we inferred the persistent functional network across subjects and ran centrality measures to characterize differences. Our results demonstrated a persistent network "core" consisting of Broca's area, the pre-supplementary motor area, and the premotor area. K-core analysis showed that Wernicke's area was engaged by the "core" with weaker connection in L2 than L1.

Indexed as

Magnetic Resonance ImagingMultilingualismAdultBrainFemaleHealthy VolunteersHumansMaleMiddle Aged

Identifiers

PMID34012006
PMCPMC8134560

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.