Evidence map›Paper›PMID 37637379›Full record

ArticleJournal of neurolinguistics2023

A systematic review of neuroimaging approaches to mapping language in individuals.

Aahana Bajracharya, Jonathan E Peelle

Abstract read
In one paragraph

Article in Journal of neurolinguistics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A Rapid fMRI Paradigm for Localisation of the Language Network.The European journal of neuroscience · 2026
    Article
  2. Article
  3. Article
  4. Review
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.

Aahana BajracharyaDepartment of Radiology, Washington University in Saint Louis.
Jonathan E PeelleCenter for Cognitive and Brain Health, Department of Communication Sciences and Disorders, and Department of Psychology, Northeastern University.

Funding

High-Sensitivity DOT for Mapping Human Brain FunctionR01NS090874 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2014 to 2025
$5.5M
21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
Individual differences in brain networks supporting speech understanding in patientswith cochlear implantsR01DC019507 · NIDCD · WASHINGTON UNIVERSITY · PI Jonathan E Peelle · 2022 to 2026
$2.1M
HIGH-SENSITIVITY DOT FOR MAPPING HUMAN BRAIN FUNCTIONR01EB009233 · NIBIB · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2009 to 2012
$1.6M
HIGH-DENSITY OPTICAL TOMOGRAPHY IN PATIENTS WITH COCHLEAR IMPLANTSR21DC016086 · NIDCD · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P, PEELLE, JONATHAN E · 2018 to 2019
$429k
NIBIB NIH HHS R01 EB009233NIBIB NIH HHS T32 EB014855NIDCD NIH HHS R01 DC019507NIDCD NIH HHS R21 DC016086NINDS NIH HHS R01 NS090874
6 · The paper itself

Abstract

Although researchers often rely on group-level fMRI results to draw conclusions about the neurobiology of language, doing so without accounting for the complexities of individual brains may reduce the validity of our findings. Furthermore, understanding brain organization in individuals is critically important for both basic science and clinical translation. To assess the state of single-subject language localization in the functional neuroimaging literature, we carried out a systematic review of studies published through April 2020. Out of 977 papers identified through our search, 121 met our inclusion criteria for reporting single-subject fMRI results (fMRI studies of language in adults that report task-based single-subject statistics). Of these, 20 papers reported using a single-subject test-retest analysis to assess reliability. Thus, we found that a relatively modest number of papers reporting single-subject results quantified single-subject reliability. These varied substantially in acquisition parameters, task design, and reliability measures, creating significant challenges for making comparisons across studies. Future endeavors to optimize the localization of language networks in individuals will benefit from the standardization and broader reporting of reliability metrics for different tasks and acquisition parameters.

Identifiers

PMID37637379
PMCPMC10449384

What OpenQuestion holds

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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.