

TBSS projects all subjects' FA data onto a mean FA tract skeleton, before applying voxelwise cross-subject statistics." For your convenience, we provide example text (short and more detailed versions), which you are welcome to use in your methods description.īrief summary text: "Voxelwise statistical analysis of the FA data was carried out using TBSS (Tract-Based Spatial Statistics, ), part of FSL. If you use TBSS in your research, please make sure that you reference at least the first of the articles listed below, and ideally the complete list. TBSS aims to improve the sensitivity, objectivity and interpretability of analysis of multi-subject diffusion imaging studies. TBSS aims to solve these issues via a) carefully tuned nonlinear registration, followed by b) projection onto an alignment-invariant tract representation (the "mean FA skeleton"). Furthermore, the arbitrariness of the choice of spatial smoothing extent has not been resolved.
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However, optimal analysis is compromised by the use of standard registration algorithms there has not been a satisfactory solution to the question of how to align FA images from multiple subjects in a way that allows for valid conclusions to be drawn from the subsequent voxelwise analysis. Many imaging studies are starting to use FA images in voxelwise statistical analyses, in order to localise brain changes related to development, degeneration and disease.

One of the measures most commonly derived from diffusion data is fractional anisotropy (FA), which quantifies how strongly directional the local tract structure is. There is much recent interest in using magnetic resonance diffusion imaging to provide information about anatomical connectivity in the brain, by measuring the anisotropic diffusion of water in white matter tracts. Research Overview - Tract-Based Spatial Statistics

The first two clusters retained significance in the sensitivity analysis and in all subgroup analyses. FA reductions were identified in the splenium of the corpus callosum (CC) that extended to the right cingulum, right sagittal stratum, and left tapetum.

The literature search was conducted through October 2015 to identify TBSS studies that compared fractional anisotropy (FA) between ADHD patients and healthy controls. The present study integrated the findings of previous TBSS studies to determine the most consistent WM alterations in ADHD via a narrative review and meta-analysis. Diffusion tensor imaging (DTI) studies that use tract-based spatial statistics (TBSS) have demonstrated the microstructural abnormalities of white matter (WM) in patients with attention-deficit/hyperactivity disorder (ADHD) however, robust conclusions have not yet been drawn.
