Evidence map›Paper›PMID 34400175›Full record

ReviewNeuroscience and biobehavioral reviews2021

General principles governing the amount of neuroanatomical overlap between languages in bilinguals.

Monika M Połczyńska, Susan Y Bookheimer

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Affect labeling down-regulates amygdala only in a dominant native language.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

2 authors.

Monika M PołczyńskaDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA. Electronic address: MPolczynska@mednet.ucla.edu.
Susan Y BookheimerDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA. Electronic address: SBook@mednet.ucla.edu.

Funding

Comprehensive pre-surgical identification of the critical language network in tumor patientsK01DC016904 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POLCZYNSKA, MONIKA MARIA · 2018 to 2023
$853k
NIDCD NIH HHS K01 DC016904
6 · The paper itself

Abstract

The literature has identified many important factors affecting the extent to which languages in bilinguals rely on the same neural populations in the specific brain region. The factors include the age of acquisition of the second language (L2), proficiency level of the first language (L1) and L2, and the amount of language exposure, among others. What is lacking is a set of global principles that explain how the many factors relate to the degree to which languages overlap neuroanatomically in bilinguals. We are offering a set of such principles that together account for the numerous sources of data that have been examined individually but not collectively: (1) the principle of acquisition similarity between L1 and L2, (2) the principle of linguistic similarity between L1 and L2, and (3) the principle of cognitive control and effort. Referencing the broad characteristics of language organization in bilinguals, as presented by the principles, can provide a roadmap for future clinical and basic science research.

Indexed as

LanguageMultilingualismBrainBrain MappingHumansLanguage DevelopmentAgeBilingualBrain surgeryClinical language mappingCognitive controlEffortfMRIModelMultilingualPrinciplesProficiency

Identifiers

PMID34400175
PMCPMC8958881

What OpenQuestion holds

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Registered trials

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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.