Journal
DEVELOPMENTAL NEUROPSYCHOLOGY
Volume 30, Issue 1, Pages 531-546Publisher
LAWRENCE ERLBAUM ASSOC INC
DOI: 10.1207/s15326942dn3001_2
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Funding
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R21NS041255, R01NS032979, R01NS046424] Funding Source: NIH RePORTER
- NINDS NIH HHS [NS32979, NS41255, NS46424] Funding Source: Medline
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Statistical approaches used in functional magnetic resonance imaging (fMRI) to study cognitive development are varied and evolving. Two approaches have generally been used. These are between-group end-point analysis of variance (ANOVA) and age-related regression. Differences in these 2 approaches could produce different results when applied to a single data set. Event-related fMRI data from a group of typically developing participants (n = 95; age range = 7-35 years) performing controlled lexical processing tasks were analyzed using both methods. Results from the 2 approaches showed significant overlap, but also noteworthy differences. The results suggest that for regions showing age-related changes, correlation was relatively more sensitive to more linear changes whereas ANOVA was relatively more sensitive to less-linear changes. These findings suggest that full characterization of developmental dynamics will require converging methodologies.
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