AI Article Synopsis
- This study looks at two ways to analyze brain images called DTI: one is manual where researchers pick specific areas, and the other is automatic and analyzes the whole image.
- The researchers compared how these two methods showed changes in the brain as kids grow from ages 8-12 and young adults from ages 21-27.
- Both methods found similar results overall, but sometimes each missed some important details about brain changes because of how the analysis was done, meaning both methods are important but don't tell the whole picture on brain development.
Article Abstract
There are two main methods of quantitative analysis in diffusion tensor imaging (DTI) studies: manual region of interest (ROI) and automated voxel based. The purpose of this study is to compare the results of each of these methods applied to the same data set. Linear correlative analysis was performed for mean diffusivity (Trace/3 ADC) and for fractional anisotropy (FA) versus age within 8-12 years (N = 32) and within 21-27 years (N = 28), as well as a group comparison. SPM analysis identified more structures changing with age, partly due to the limited regions measured with ROI analysis. In general, ROI and voxel-based analysis methods produced comparable results for widespread reductions of Trace/3 ADC and increases of FA with age, particularly for group comparison. The discrepancies (i.e., missed regions) were likely related to problems of spatial normalization for SPM analysis, and masking localized changes by averaging all the voxels within a region of interest for ROI analysis. These two analysis methods for DTI offer complementary results, but neither one yields the complete story of neurodevelopment.
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| http://dx.doi.org/10.1016/j.neuroimage.2006.07.021 | DOI Listing |
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