Age-related changes in tissue signal properties within cortical areas important for word understanding in 12- to 19-month-old infants
Open accessAbstract
Recently, our laboratory has shown that the neural mechanisms for encoding lexico-semantic information in adults operate functionally by 12-18 months of age within left frontotemporal cortices (Travis et al., 2011. Spatiotemporal neural dynamics of word understanding in 12- to 18-month-old-infants. Cereb Cortex. 8:1832-1839). However, there is minimal knowledge of the structural changes that occur within these and other cortical regions important for language development. To identify regional structural changes taking place during this important period in infant development, we examined age-related changes in tissue signal properties of gray matter (GM) and white matter (WM) intensity and contrast. T1-weighted surface-based measures were acquired from 12- to 19-month-old infants and analyzed using a general linear model. Significant age effects were observed for GM and WM intensity and contrast within bilateral inferior lateral and anterovental temporal regions, dorsomedial frontal, and superior parietal cortices. Region of interest (ROI) analyses revealed that GM and WM intensity and contrast significantly increased with age within the same left lateral temporal regions shown to generate lexico-semantic activity in infants and adults. These findings suggest that neurophysiological processes supporting linguistic and cognitive behaviors may develop before cellular and structural maturation is complete within associative cortices. These results have important implications for understanding the neurobiological mechanisms relating structural to functional brain development.
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Success with Freesurfer has also been reported in toddlers at 12 months of age.
“Success with Freesurfer has also been reported in toddlers at 12 months of age (Travis et al., 2014).”
From Quantifying cortical development in typically developing toddlers and young children, 1–6 years of age (2017) · cites this paper as Travis et al., 2014
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- Authors
- Travis, K. E., Curran, M. M., Torres, C., Leonard, M. K., Brown, T. T., Dale, A. M., Elman, J. L., & Halgren, E.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Travis, Katherine E.
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-02-28
- Volume
- 24
- Issue
- 7
- Pages
- 1948-1955
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4051897
- OpenAlex
- W2143821766
- Cited by
- 19
- References
- 76
- Citations by year
- 2025: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 4 · 2014: 2
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01 NS018741-23A1)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R21 HD066364)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- infant brain development, age-related changes, T1-weighted imaging, word understanding, lexical-semantic processing, language development, functional maturation, inferior temporal cortex, dorsomedial frontal cortex, superior parietal cortex
- MeSH terms
- Aging, Brain Mapping, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Infant, Language Development, Magnetic Resonance Imaging, Male, Vocabulary, Comprehension
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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