The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A longitudinal functional magnetic resonance imaging study of language development in children 5 to 11 years old
Open accessAbstract
Objective: Language skills continue to develop rapidly in children during the school‐age years, and the “snapshot” view of the neural substrates of language provided by current neuroimaging studies cannot capture the dynamic changes associated with brain development. The aim of this study was to conduct a 5‐year longitudinal investigation of language development using functional magnetic resonance imaging in healthy children. Methods: Thirty subjects enrolled at ages 5, 6, or 7 were examined annually for 5 years using a 3‐Tesla magnetic resonance imaging scanner and a verb generation task. Data analysis was conducted based on a general linear model that was modified to investigate developmental changes whereas minimizing the potential for missing data. Results: With increasing age, there is progressive participation in language processing by the inferior/middle frontal, middle temporal, and angular gyri of the left hemisphere and the lingual and inferior temporal gyri of the right hemisphere and regression of participation of the left posterior insula/extrastriate cortex, left superior frontal and right anterior cingulate gyri, and left thalamus. Conclusion: The age‐related changes observed in this study provide evidence of increased neuroplasticity of language in this age group and may have implications for further investigations of normal and aberrant language development. Ann Neurol 2006
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Cites
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
Massive IQ gains in 14 nations: What IQ tests really measure.
Flynn, J. R. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.101.2.171 · Cited by 1,918
Functional neuroimaging of speech perception in infants
Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002) · Science · doi:10.1126/science.1077066 · Cited by 1,113 · cited 1×
“fMRI has opened new avenues for examination of language development even in infants.(33) Studies utilizing fMRI have explored the changes in cortical substrates supporting language during the normal course of child development.”
BackgroundKlingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695
Functional anatomy of cognitive development: fMRI of verbal fluency in children and adults
Gaillard, W. D., Hertz–Pannier, L., Mott, S. H., Barnett, A. S., LeBihan, D., & Theodore, W. H. (2000) · Neurology · doi:10.1212/wnl.54.1.180 · Cited by 423
Functional MR evaluation of temporal and frontal language dominance compared with the Wada test
Lehéricy, S., Cohen, L., Bazin, B., Samson, S., Giacomini, E., Rougetet, R., Hertz-Pannier, L., Le Bihan, D., Marsault, C., & Baulac, M. (2000) · Neurology · doi:10.1212/wnl.54.8.1625 · Cited by 418
Anatomical MRI of the developing human brain: what have we learned?
DURSTON, S., HULSHOFF POL, H. E., CASEY, B. J., GIEDD, J. N., BUITELAAR, J. K., & VAN ENGELAND, H. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200109000-00009 · Cited by 410 · cited 1×
“Brain development, including changes in cortical thickness, white matter volumes, and the volume of subcortical structures, occurs throughout childhood.(16) Maturational changes in white matter myelination can be detected across ages during childhood as well.”
BackgroundNeural development of selective attention and response inhibition
Booth, J. R., Burman, D. D., Meyer, J. R., Lei, Z., Trommer, B. L., Davenport, N. D., Li, W., Parrish, T. B., Gitelman, D. R., & Mesulam, M. M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00404-x · Cited by 366
Cited by
Home reading environment and brain activation in preschool children listening to stories
Hutton, J. S., Horowitz-Kraus, T., Mendelsohn, A. L., DeWitt, T., Holland, S. K., & the C-MIND Authorship Consortium (2015) · Pediatrics · doi:10.1542/peds.2015-0359 · Cited by 189
Self-citationDevelopmental changes in activation and effective connectivity in phonological processing.
Bitan, T., Cheon, J., Lu, D., Burman, D. D., Gitelman, D. R., Mesulam, M.-M., & Booth, J. R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.048 · Cited by 107
Miller, J. L., Couch, J. A., Schmalfuss, I., He, G., Liu, Y., & Driscoll, D. J. (2007) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.31508 · Cited by 95
Naito, E., Morita, T., Saito, D. N., Ban, M., Shimada, K., Okamoto, Y., Kosaka, H., Okazawa, H., & Asada, M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx223 · Cited by 33
Metadata
- Authors
- Szaflarski, J. P., Schmithorst, V. J., Altaye, M., Byars, A. W., Ret, J., Plante, E., & Holland, S. K.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2006-02-23
- Volume
- 59
- Issue
- 5
- Pages
- 796-807
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2138732273
- Cited by
- 230
- References
- 9
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- green
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