General linear models were calculated to explore the differences in SWC and DTI indices (FA, MD, RD, and AD) among the groups. We utilized non-parametric permutation-based statistics with the “randomise” tool (p < 0.05) in FSL.46 (link) Five thousand permutations were performed, and threshold-free cluster enhancement (TFCE) was applied to correct for multiple comparisons.47 (link) JHU ICBM-DTI-81 White-Matter Labels and the JHU White-Matter Tractography Atlas were used to identify the location of significant clusters.48 (link),49 (link) All analyses were adjusted for sex and WASO. The Bonferroni correction method was applied. A p-value <0.05 (corrected for multiple comparisons) was considered statistically significant. Statistical analyses were conducted with SAS® Studio (SAS Institute Inc. Cary, NC, USA.).
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Structural Brain Differences Exploration
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Other organizations : University of Chile, Universidade de São Paulo, University of Michigan–Ann Arbor
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