Evidence map›Paper›PMID 38065277›Full record

ArticleNeuroImage2024

Efficient functional localization of language regions in the brain.

Jayden J Lee, Terri L Scott, Tyler K Perrachione

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Jayden J LeeDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave., Boston, MA 02215, United States.
Terri L ScottDepartment of Neurological Surgery, University of California - San Francisco, San Francisco, CA, United States.
Tyler K PerrachioneDepartment of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave., Boston, MA 02215, United States. Electronic address: tkp@bu.edu.
Boston University · USUniversity of California, San Francisco · US

Funding

Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
Training in computational neuroscience: Integrating experiment, theory, and technology - T90 extensionT90DA032484 · NIDA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SHINN-CUNNINGHAM, BARBARA · 2011 to 2016
$815k
Neural bases of phonological working memory in developmental language disordersR03DC014045 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI PERRACHIONE, TYLER · 2015 to 2017
$491k
Neural dynamics of speech encoding and maintenance during phonological working memoryF32DC019531 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCOTT, TERRI LYNN · 2021 to 2023
$202k
NIDA NIH HHS T90 DA032484NIDCD NIH HHS F32 DC019531NIDCD NIH HHS R03 DC014045NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

Important recent advances in the cognitive neuroscience of language have been made using functional localizers to demarcate language-selective regions in individual brains. Although single-subject localizers offer insights that are unavailable in classic group analyses, they require additional scan time that imposes costs on investigators and participants. In particular, the unique practical challenges of scanning children and other special populations has led to less adoption of localizers for neuroimaging research with these theoretically and clinically important groups. Here, we examined how measurements of the spatial extent and functional response profiles of language regions are affected by the duration of an auditory language localizer. We compared how parametrically smaller amounts of data collected from one scanning session affected (i) consistency of group-level whole-brain parcellations, (ii) functional selectivity of subject-level activation in individually defined functional regions of interest (fROIs), (iii) sensitivity and specificity of subject-level whole-brain and fROI activation, and (iv) test-retest reliability of subject-level whole-brain and fROI activation. For many of these metrics, the localizer duration could be reduced by 50-75% while preserving the stability and reliability of both the spatial extent and functional response profiles of language areas. These results indicate that, for most measures relevant to cognitive neuroimaging studies, the brain's language network can be localized just as effectively with 3.5 min of scan time as it can with 12 min. Minimizing the time required to reliably localize the brain's language network allows more effective localizer use in situations where each minute of scan time is particularly precious.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainChildHumansLanguageReproducibility of ResultsFunctional localizerFunctional selectivityLanguageSingle-subject designTest-retest reliability

Identifiers

PMID38065277
PMCPMC10999251
OpenAlexW4389365398

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.