Evidence map›Paper›PMID 41971197›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2025

The White Matter Connectome Supporting Speech and Language in the Human.

Anthony Steven Dick, Pascale Tremblay

Abstract readEditorial
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anthony Steven DickDepartment of Psychology, Florida International University, Miami, FL, USA.
Pascale TremblayDepartment of Rehabilitation Sciences, Université Laval, Quebec City, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neurobiology of language has moved beyond the classical dorsal-ventral dichotomy to embrace a more complex, distributed, and dynamic white matter connectome. This special issue, The White Matter Connectome Supporting Speech and Language in the Human, presents 10 empirical studies that leverage traditional and advanced diffusion modeling and analyses-including Restriction Spectrum Imaging, fixel-based analysis, and network control theory-to map this complexity. The contributions are organized into three themes: developmental plasticity, lateralization, and clinical resilience. Findings range from the rapid consolidation of speech categories during sleep and the microstructural scaffolding of early childhood speech, to the surprising stability of reading networks following educational disruption. Novel insights into lateralization challenge binary left-right models, revealing how interhemispheric balance and intrahemispheric asymmetry jointly shape functional dominance. Finally, clinical studies on aphasia, dyslexia, and stroke recovery demonstrate how structural connectivity constrains therapeutic outcomes, identifying specific white matter targets for semantic versus phonological recovery. Collectively, these articles advance a framework where the white matter connectome is not merely a static system, but an active, plastic substrate essential for human communication.

Indexed as

clinical neuroscienceconnectomelanguagelateralizationplasticityspeechwhite matter

Identifiers

PMID41971197
PMCPMC13063970

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.