Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

By Stephen M. Smith, Mark Jenkinson, Heidi Johansen-Berg, Daniel Rueckert, Thomas E. Nichols, Clare E. Mackay, Kate E. Watkins, O. Ciccarelli, M. Cader, Paul M. Matthews and 1 more. NeuroImage, 2006

5,881 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/545ce28da9c7079c5a4bb08aa3a5ba55f1f299ea

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In Cognitive Neuroscience

In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants (2007, methodology): “performed a comparison study of TBSS and VBM-style analysis on FA data from schizophrenics and control subjects and found that VBM analysis generated several spurious results due to imperfect registration, including the demonstration of FA differences within the ventricles (Smith et al., 2006).”
Gender differences and age-related white matter changes of the human brain: A diffusion tensor imaging study (2008, neutral): “Firstly, the accuracy of matching the WM fiber structures to the standard space from each individual's FA image is very difficult to determine (Smith et al., 2006).”
Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping (2010, methodology): “Furthermore, if the pixel intensity values in the maps were shown to have good quantitative reproducibility, the intensity values themselves could also be used as an alternative to anisotropy maps (e.g. FA maps) in quantitative voxel-based analysis (VBA) (Smith et al., 2006; Jones et al., 2005; Embl”
Regional DTI differences in multiple sclerosis patients (2009, methodology): “To analyze diffusion tensor MR data in a voxelwise fashion, tract-based spatial statistics (TBSS) was recently developed (Smith et al., 2006).”
White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. (2007, background): “D ow nloaded from https://academ ic.oup.com /brain/article/130/10/2508/378041 by guest on 19 February 2022 the data the magnitude of spatial filtering which occurs during normalization to standardized space can potentially affect the DTI data (see Jones et al., 2005; Smith et al., 2006).”
Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. (2007, methodology): “We believe that our approach to defining the white matter pathology represents an advance over previously applied strategies (Smith et al., 2006).”
Decreased white matter integrity in late-myelinating fiber pathways in Alzheimer's disease supports retrogenesis (2008, methodology): “Tract-based spatial statistics version 1.1 (TBSS, Smith et al., 2006), part of FSL (Smith et al., 2004), is a novel tool for the post-processing and analysis of multisubject DTI data.”
Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, methodology): “Table 3 Results from OLS regressions with regional FA values as dependent and sex, age, and age 2 as independent variables FA t F R Note: The FA values were computed as mean values in regions encompassing both the TBSS skeleton and the atlas-based tract. t 5 t value, F 5 F value, R 2 5 adjusted R 2 ”
A hitchhiker's guide to diffusion tensor imaging (2012, methodology): “This method is part of the FSL distribution (Smith et al., 2006).”
The cingulum bundle: Anatomy, function, and dysfunction (2018, positive): “In addition, dMRI allows the reconstruction of white matter bundles by means of fibre tractography (Basser et al., 2000; Tournier et al., 2004; Jeurissen et al., 2011, 2017) or, alternatively, the reconstruction of a white matter skeleton from voxels that exceed a predefined FA threshold with tract ”
Characterization of Cerebral White Matter Properties Using Quantitative MRI Stains (2011, background): “ROI, region-of-interest; VBA, voxel-based analysis; T-SPOON, tissue specific, smoothing compensated VBA; TBSS, tract-based spatial statistics. which can be extremely tedious, (2) automated application of an atlas-based template to the DTI data, and (3) tractographybased segmentation of specific WM p”
Networks of anatomical covariance (2013, background): “…imaging (DWI) and tractography to examine structural connectivity as a white matter (WM) phenomenon (Behrens et al., 2007; Gong et al., 2009a, 2011; Hofer and Frahm, 2006; Iturria-Medina, 2013; Jbabdi et al., 2007; Le Bihan and Johansen-Berg, 2012; Raj and Chen, 2011; Smith et al., 2006).”
Longitudinal changes in grey and white matter during adolescence (2010, positive): “Anatomical locations of the significant GM clusters were determined by reference to the Harvard-Oxford cortical structural atlas integrated into FSLView (part of FSL).”