Reproducibility of quantitative tractography methods applied to cerebral white matter

By Setsu Wakana, A. Caprihan, Martina M. Panzenboeck, J. Fallon, M. Perry, Randy L. Gollub, Kegang Hua, Jiangyang Zhang, Hangyi Jiang, P. Dubey and 3 more. NeuroImage, 2007

1,709 citations recorded by the source corpus.

Subfields: Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/503035e205654af479d5be4c4b700dcae5a66913

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Citations in the corpus

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017, methodology): “…of the DTI/NODDI maps, the skeletonised images are averaged within a set of 48 standard-space tract masks deﬁned by the group of Susumi Mori at Johns Hopkins University Mori et al. (2005) and Wakana et al. (2007), similar to the TBSS processing applied in the ENIGMA project Jahanshad et al. (2013).”
Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification (2012, methodology): “They typically rely on manually drawing regions of interest (ROIs) that disambiguate the trajectory of a known fascicle from other fascicles within the brains of each participant [17,18].”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “DWI has low Signal-to-Noise Ratio (SNR) and resolution and is very susceptible to motion (Farrell et al., 2007; Choi et al., 2011; Polders et al., 2011).”
Diffusion tensor imaging shows white matter tracts between human auditory and visual cortex (2011, neutral): “This raises questions about the reproducibility of the results (Wakana et al. 2007).”
Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. (2010, methodology): “The atlas contains tracts probabilistically represented in MNI space by averaging the results of deterministic tractography on 28 normal participants (Mori et al. 2005; Hua et al. 2008; Wakana et al. 2007).”
Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, neutral): “…models over 75 different white-matter tract regions based both on subject-specific tractography18 and from population-average white matter masks19. fMRI reflects neural activity indirectly, based on dynamic changes in blood oxygenation and flow resulting from changes in neural metabolic demand20.”
The challenge of mapping the human connectome based on diffusion tractography (2017, neutral): “Reproducibility 13 or data prediction errors 14 – 16 have been evaluated in the context of tractography model veri ﬁ cation.”
Assessing the effects of age on long white matter tracts using diffusion tensor tractography (2009, methodology): “While previous methodological studies of white matter have demonstrated that DTI tractography provides fiber tracts that have been shown to be highly representative of the underlying white matter anatomy (Burgel et al., 2006; Wakana et al., 2007), newer sampling methods which are less susceptible to”
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information (2012, methodology): “…to guide the tractography process; for instance, using regions of interest based on anatomy (e.g. Catani et al., 2002; Hagmann et al., 2003; Wakana et al., 2007), or restricting propagation to the volume of the white matter (and optionally also grey matter) based on segmentation of an…”
Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography (2011, neutral): “…and addressed some of the questions that were difficult to answer with post-mortem dissections such as the location, asymmetry and inter-subject variability of white matter tracts (Ciccarelli et al., 2003; Barrick et al., 2007; Catani et al., 2007; Wakana et al., 2007; Verhoeven et al., 2010).”
Decomposing the role of alpha oscillations during brain maturation (2020, methodology): “Next, the left and right thalamic radiations were segmented by distinct anatomical regions of interest as defined in a WM atlas (Wakana et al., 2007) in the coregistered T1weighted scan.”