Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain
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Linguistic processing is based on a close collaboration between temporal and frontal regions connected by two pathways: the "dorsal" and "ventral pathways" (assumed to support phonological and semantic processing, respectively, in adults). We investigated here the development of these pathways at the onset of language acquisition, during the first post-natal weeks, using cross-sectional diffusion imaging in 21 healthy infants (6-22 weeks of age) and 17 young adults. We compared the bundle organization and microstructure at these two ages using tractography and original clustering analyses of diffusion tensor imaging parameters. We observed structural similarities between both groups, especially concerning the dorsal/ventral pathway segregation and the arcuate fasciculus asymmetry. We further highlighted the developmental tempos of the linguistic bundles: The ventral pathway maturation was more advanced than the dorsal pathway maturation, but the latter catches up during the first post-natal months. Its fast development during this period might relate to the learning of speech cross-modal representations and to the first combinatorial analyses of the speech input.
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The dorsal pathway development falls behind the ventral pathway at birth and catches up later at the first postnatal months.
“Researchers can further estimate the growth of tracts at the subsystem level by multivariate analysis; for example, one study investigated the maturational calendars of linguistic bundles and found that the dorsal pathway development falls behind the ventral pathway at birth and catches up later at the first postnatal months (Dubois et al., 2016).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Dubois et al., 2016
Computational processing might have been facilitated by some of the changes presented here, at least in some of the circuits that have expanded in our lineage.
“Computational processing might have been facilitated by some of the changes presented here, at least in some of the circuits that have expanded in our lineage111,112, since subtle maturational differences early in development113 may have had a considerable impact on the phenotype.”
From A catalog of single nucleotide changes distinguishing modern humans from archaic hominins (2019) · cites this paper as [113]
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A Lateralized Brain Network for Visuospatial Attention (P02.026)
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White matter maturation of normal human fetal brain. An in vivo diffusion tensor tractography study
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Multi-parametric evaluation of the white matter maturation
Kulikova, S. P., Hertz‐Pannier, L., Dehaene‐Lambertz, G., Владимирович, Б. А., Poupon, C., & Dubois, J. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0881-y · Cited by 83 · see citing works
Self-citationAsymmetry of White Matter Pathways in Developing Human Brains
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Precursors to Natural Grammar Learning: Preliminary Evidence from 4-Month-Old Infants
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Development of Structural and Functional Connectivity
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Self-citationAdaptation to language: Evidence from babbling and first words in four languages
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Self-citationA structural browser for human brain mapping
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Self-citationVisual corticogeniculate projections in the cat
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The ontogeny of the cortical language network
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“calendars of linguistic bundles and found that the dorsal pathway development falls behind the ventral pathway at birth and catches up later at the first postnatal months [143].”
BackgroundThe Infancy of the Human Brain
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Self-citationA catalog of single nucleotide changes distinguishing modern humans from archaic hominins
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A penny for your thoughts: children’s inner speech and its neuro-development
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- Authors
- Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., Hertz-Pannier, L., & Dehaene-Lambertz, G.
- Affiliations
- Université Paris-Sud (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Inserm (FR)
- Corresponding author
- Dubois, Jessica
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-29
- Volume
- 26
- Issue
- 5
- Pages
- 2283-2298
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2090111317
- Cited by
- 165
- References
- 104
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 12 · 2020: 45 · 2019: 12 · 2018: 17 · 2017: 11 · 2016: 9 · 2015: 3
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Fyssen Foundation
- Fondation de France
- Ecole des Neurosciences de Paris
- Fondation Motrice
- McDonnell Foundation
- French National Agency for Research (ANR)
- European Union Seventh Framework Program (FP7/2007-2013, 604102)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- dorsal visual pathway, ventral stream, arcuate fasciculus, language acquisition, infant brain development, white matter maturation, speech processing, phonological processing, semantic processing, tractography, diffusion tensor imaging
- MeSH terms
- Brain, Cross-Sectional Studies, Female, Frontal Lobe, Humans, Infant, Language Development, Linguistics, Male, Neural Pathways, Temporal Lobe, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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