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High angular resolution diffusion images were obtained and analyzed using tract-based spatialstatistics.
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FA values were compared between these groups using the unbiased tract-based spatialstatistics approach.
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DTI data were analyzed using a tract-based spatialstatistics approach.
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Tract-based spatialstatistics analysis was also performed to investigate the deeper white matter tracts.
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Our quantitative, spatialstatistics analysis could benefit H&E section analysis by refining and complementing cellular characteristics analysis.
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Atlas-based spatialstatistics of DTI was applied to compare White matter (WM) fibers impairment between groups.
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Regional analyses of frontal WM volume and diffusion tensor imaging metrics were performed and verified with tract-based spatialstatistics.
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We next devise spatialstatistics for analyzing spatial arrangement and organization, which are not detectable by individual cellular characteristics.
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Using tract-based spatialstatistics (TBSS), we examined diffusion parameters in a sample of patients with severe chronic schizophrenia.
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Tract based spatialstatistics (TBSS) were employed to assess white matter abnormalities and their correlation with cognitive flexibility.
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Tract-based spatialstatistics (TBSS) analyses of whole-brain FA and MD images in each individual and group comparisons were carried out.
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We investigated group differences in cognitive function, gray matter volume through voxel-based morphometry, and white matter integrity by means of tract-based spatialstatistics.
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Tract-based spatialstatistics revealed decreased FA and axial diffusivity of the cerebral white matter in the tuberous sclerosis complex group, suggesting reduced axonal integrity.
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Tract-Based SpatialStatistics (TBSS) was carried out to investigate difference in white matter integrity between 2 groups within DTI parameter maps.
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Tract-Based SpatialStatistics was used to test for differences in fractional anisotropy (FA) in the whole brain between the three groups.