Evidence map›Paper›PMID 40584048›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2025

Exploring the Relationship Between White Matter Tracts and Resting-State Functional Language Lateralization Index.

Marie-Ève Desjardins, Karine Marcotte, Xanthy Lajoie, Christophe Bedetti, Bérengère Houzé, Abdelali Filali-Mouhim, Arnaud Boré, Maxime Descoteaux, François Rheault, Simona Maria Brambati

Abstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The White Matter Connectome Supporting Speech and Language in the Human.Neurobiology of language (Cambridge, Mass.) · 2025
    Article
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

10 authors.

Marie-Ève DesjardinsCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-6854-3691
Karine MarcotteCentre de recherche du Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-3275-1154
Xanthy LajoieCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-7060-3171
Christophe BedettiCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-1443-8922
Bérengère HouzéCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0003-4538-6245
Abdelali Filali-MouhimCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-6929-9501
Arnaud BoréDépartement d'informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0002-4822-1211
Maxime DescoteauxDépartement d'informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0002-8191-2129
François RheaultDépartement d'informatique, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID https://orcid.org/0000-0002-0097-8004
Simona Maria BrambatiCentre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0002-9227-1443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting-state functional magnetic resonance imaging (rs-fMRI) enables the evaluation of the language network and is particularly useful for measuring language lateralization with minimal participant effort and methodological biases (e.g., no language task execution or selection). Tractography using diffusion MRI (dMRI) provides complementary information on language-associated white matter bundles. Some structural white matter measures of the left or right hemisphere have been related to the functional language lateralization index (LI) and allow a better understanding of this network. This study utilizes tractography to identify white matter structural predictors of LI from a single hemisphere, employing linear regression and random forest models. Rs-fMRI and dMRI data from 618 healthy subjects of the Human Connectome Project were used to link LI to micro- and macro-structural measures of the arcuate fasciculi, the inferior longitudinal fasciculi, the frontal aslant tracts and sections of the corpus callosum. Results suggest a possible relationship between micro- and macro-structural measures of white matter tracts, and functional language lateralization measured in resting-state. However, the identified predictors are not sufficiently representative to be considered proxies for functional language lateralization. In conclusion, both micro- and macro-structural white matter characteristics as well as both left and right hemispheres are important to consider, but are not sufficient on their own, when investigating the relationship between brain structures and functional language lateralization.

Indexed as

diffusion tensor imagingfunctional magnetic resonance imaging (fMRI)language lateralizationmachine learningresting-statetractography

Identifiers

PMID40584048
PMCPMC12204735

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.