Encyclopedia of Clinical Neuropsychology

2018 Edition
| Editors: Jeffrey S. Kreutzer, John DeLuca, Bruce Caplan

Tract-Based Spatial Statistics (TBSS)

  • David F. TateEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-319-57111-9_9125

Synonyms

Anatomical connectivity analysis; Anisotropic diffusion; Multi-subject diffusion imaging data; Fractional anisotropy, FA; Functional magnetic resonance imaging, fMRI; Nonlinear registration tool; Tract-based spatial statistics, TBSS; Voxelwise statistical analysis; White matter tracts

Definition

Tract-based spatial statistics (TBSS) (Smith et al. 2006) refers to a diffusion weighted imaging post-processing method implemented by the Functional Magnetic Resonance Imaging of the Brain (FMRIB) Analysis Group, Oxford University, UK for the FMRIB Software Library (FSL) as part of the FSL Toolkit (see Smith et al. 2004 retrieved 05/11/2017 from http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/TBSS). This procedure is a set of steps designed to improve voxelwise group comparisons of diffusion scalar metrics, namely fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and/or axial diffusivity (AD) (see Dunst et al. 2014).

Current Knowledge

This method utilizes raw diffusion...

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References and Readings

  1. Andersson, J. L. R. , Jenkinson, M., & Smith, S. (2007a). Non-linear optimisation FMRIB technical report TR07JA1 FMRIB Centre. Oxford: www.fmrib.ox.ac.uk/analysis/techrep
  2. Andersson, J. L. R. , Jenkinson, M., & Smith, S. (2007b). Non-linear registration, aka Spatial normalisation FMRIB technical report FMRIB. Oxford: from www.fmrib.ox.ac.uk/analysis/techrep
  3. Aoki, Y., & Inokuchi, R. (2016). A voxel-based meta-analysis of diffusion tensor imaging in mild traumatic brain injury. Neuroscience and Biobehavioral Reviews, 66, 119–126.  https://doi.org/10.1016/j.neubiorev.2016.04.021.CrossRefPubMedGoogle Scholar
  4. Bauer, I. E., Ouyang, A., Mwangi, B., Sanches, M., Zunta-Soares, G. B., Keefe, R. S., …, & Soares, J. C. (2015). Reduced white matter integrity and verbal fluency impairment in young adults with bipolar disorder: A diffusion tensor imaging study. Journal of Psychiatric Research, 62, 115–122.  https://doi.org/10.1016/j.jpsychires.2015.01.008.PubMedCentralCrossRefPubMedGoogle Scholar
  5. Dunst, B., Benedek, M., Koschutnig, K., Jauk, E., & Neubauer, A. C. (2014). Sex differences in the IQ-white matter microstructure relationship: A DTI study. Brain and Cognition, 91, 71–78.  https://doi.org/10.1016/j.bandc.2014.08.006.CrossRefPubMedCentralPubMedGoogle Scholar
  6. Kern, K. C., Gold, S. M., Lee, B., Montag, M., Horsfall, J., O’Connor, M. F., & Sicotte, N. L. (2015). Thalamic-hippocampal-prefrontal disruption in relapsing-remitting multiple sclerosis. Neuroimage Clin, 8, 440–447.  https://doi.org/10.1016/j.nicl.2014.12.015.CrossRefPubMedGoogle Scholar
  7. Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155.  https://doi.org/10.1002/hbm.10062.CrossRefPubMedGoogle Scholar
  8. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E., Johansen-Berg, H., …, & Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23(Suppl 1), S208–219.  https://doi.org/10.1016/j.neuroimage.2004.07.051.CrossRefGoogle Scholar
  9. Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., …, & Behrens, T. E. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. Neuroimage, 31(4), 1487–1505.  https://doi.org/10.1016/j.neuroimage.2006.02.024.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Brain Imaging and Behavior Laboratory, Missouri Institute of Mental Health (MIMH)University of Missouri, St. Louis (UMSL)BerkeleyUSA