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  <title>NITRC News Group Forum: reducing-individual-variation-for-fmri-studies-in-children-by-minimizing-template-related-errors.</title>
  <link>http://www.nitrc.org/forum/forum.php?forum_id=5392</link>
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	&lt;table border=&quot;0&quot; width=&quot;100%&quot;&gt;&lt;tr&gt;&lt;td align=&quot;left&quot;/&gt;&lt;/tr&gt;&lt;/table&gt;
        &lt;p&gt;&lt;b&gt;Reducing Individual Variation for fMRI Studies in Children by Minimizing Template Related Errors.&lt;/b&gt;&lt;/p&gt;          
        &lt;p&gt;PLoS One. 2015;10(7):e0134195&lt;/p&gt;
        &lt;p&gt;Authors:  Weng J, Dong S, He H, Chen F, Peng X&lt;/p&gt;
        &lt;p&gt;Abstract&lt;br/&gt;
        Spatial normalization is an essential process for group comparisons in functional MRI studies. In practice, there is a risk of normalization errors particularly in studies involving children, seniors or diseased populations and in regions with high individual variation. One way to minimize normalization errors is to create a study-specific template based on a large sample size. However, studies with a large sample size are not always feasible, particularly for children studies. The performance of templates with a small sample size has not been evaluated in fMRI studies in children. In the current study, this issue was encountered in a working memory task with 29 children in two groups. We compared the performance of different templates: a study-specific template created by the experimental population, a Chinese children template and the widely used adult MNI template. We observed distinct differences in the right orbitofrontal region among the three templates in between-group comparisons. The study-specific template and the Chinese children template were more sensitive for the detection of between-group differences in the orbitofrontal cortex than the MNI template. Proper templates could effectively reduce individual variation. Further analysis revealed a correlation between the BOLD contrast size and the norm index of the affine transformation matrix, i.e., the SFN, which characterizes the difference between a template and a native image and differs significantly across subjects. Thereby, we proposed and tested another method to reduce individual variation that included the SFN as a covariate in group-wise statistics. This correction exhibits outstanding performance in enhancing detection power in group-level tests. A training effect of abacus-based mental calculation was also demonstrated, with significantly elevated activation in the right orbitofrontal region that correlated with behavioral response time across subjects in the trained group.&lt;br/&gt;
        &lt;/p&gt;&lt;p&gt;PMID: 26207985 [PubMed - as supplied by publisher]&lt;/p&gt;
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