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A comparison of analysis of variance and correlation methods for investigating cognitive development with functional magnetic resonance imaging.
- Source :
-
Developmental neuropsychology [Dev Neuropsychol] 2006; Vol. 30 (1), pp. 531-46. - Publication Year :
- 2006
-
Abstract
- 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.
- Subjects :
- Adolescent
Adult
Analysis of Variance
Brain growth & development
Brain physiology
Child
Functional Laterality physiology
Humans
Image Processing, Computer-Assisted methods
Linear Models
Oxygen blood
Aging physiology
Brain blood supply
Brain Mapping
Cognition physiology
Magnetic Resonance Imaging
Subjects
Details
- Language :
- English
- ISSN :
- 8756-5641
- Volume :
- 30
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Developmental neuropsychology
- Publication Type :
- Academic Journal
- Accession number :
- 16925474
- Full Text :
- https://doi.org/10.1207/s15326942dn3001_2