Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification

By Kegang Hua, Jiangyang Zhang, Setsu Wakana, Hangyi Jiang, Xin Li, Daniel S. Reich, Peter A. Calabresi, James J. Pekar, Peter C. M. van Zijl, Susumu Mori. NeuroImage, 2008

1,519 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/669ae66b91d2beb0689a11025ba859a9aa95819f

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In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography (2011, neutral): “In the recent years several groups have used DTI to produce group atlases of the major white matter tracts (Hua et al., 2008; Lawes et al., 2008; Verhoeven et al., 2010; Wassermann et al., 2010).”
Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, methodology): “Further, binary masks based on the probabilistic JHU white-matter tractography atlas (Wakana et al. 2004; Mori et al. 2005; Hua et al. 2008) were created with a probability threshold of 5%, chosen to accommodate individual variation in WM architecture (Westlye, Walhovd, Bjørnerud, et al.”
Brain templates and atlases (2012, background): “…of white-matter fiber tract atlases that can be used to examine fMRIbased studies of functional connectivity (Catani and Thiebaut de Schotten, 2008; Hua et al., 2008; Lawes et al., 2008; Mori et al., 2005, 2008; Oishi et al., 2008; Verhoeven et al., 2010; Wakana et al., 2004; Wassermann et al.,…”
Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification (2012, methodology): “For example, Hua et al. (2008) identified 20 fiber tracts in 28 individuals based on tractography and co-registered these brains to create a fiber tract probability map.”
The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses (2011, methodology): “For this purpose, additional ROIs were used to delineate several major pathways, consistent with the published guidelines for identifying and isolating fiber bundles using the multiple-ROI approach (Wakana et al., 2007; Catani and Thiebaut de Schotten, 2008; Hua et al., 2008).”
Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants (2009, positive): “To ameliorate these problems, population-averaged probabilistic tractography approaches have been postulated (e.g., Abe et al., 2002; Hua et al., 2008).”
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).”
Anatomical Properties of the Arcuate Fasciculus Predict Phonological and Reading Skills in Children (2011, positive): “For example, Hua et al. (2008) coregistered 28 brains to create a fiber tract template.”
Decomposing the role of alpha oscillations during brain maturation (2020, methodology): “Fiber tract probability maps (Hua et al., 2008) were used to refine the tracts according to the likelihood of a fiber belonging to the tract.”