Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture.

By Carlo Pierpaoli, A. Barnett, Sinisa Pajevic, Robert Chen, Laroy Penix, A. Virta, Peter J. Basser. NeuroImage, 2001

955 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5c4e6bd1c614198a6fa534b0cf14cb2a7d82304f

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Citations in the corpus

DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease (2011, background): “By contrast, the unusual increase of FA – in the context of a neurodegenerative disorder – is likely related to a selective sparing (or selective degeneration) of one of the pathways in a region of crossing fibres (Pierpaoli et al., 2001; Douaud et al., 2009).”
Occipito-temporal connections in the human brain. (2003, background): “Consequently, as discussed by other authors (Pierpaoli et al., 2001), DT-MRI tractography can, at best, only suggest the presence of white matter pathways that may or may not correspond to true anatomical connections.”
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (2007, background): “Moreover, many of the major tracts in the brain do pass through regions containing multiple fibre populations at some point along their path, causing tractography applications that rely on the diffusion tensor model to provide unreliable results if the tracks produced happen to venture into affected”
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, background): “…orientation extracted from the diffusion tensor is unreliable and may cause false negatives, in which tracking terminates [Behrens et al., 2007; Jeurissen et al., 2011], or false positives, in which tracking switches to an unrelated adjacent tract [Jeurissen et al., 2011; Pierpaoli et al., 2001].”
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, background): “Secondary Wallerian degeneration (pattern 4) A decrease in FA with simultaneous increase in RD, a decrease in AD, and the resulting non-significant difference in MD has been observed in secondary Wallerian degeneration (Pierpaoli et al., 2001).”
Using diffusion imaging to study human connectional anatomy. (2009, background): “…spurious pathways around the superior corona radiata were consistently tracked using tractography but were absent with both tracer methods, consistent with the observation that false positives are often detected in regions of high fiber complexity ( Jones et al. 2005, Pierpaoli et al. 2001).”
White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. (2007, background): “More discrete analysis of the axial ( k) and radial diffusivity ( ?) also provide potential measures of the mechanisms that underlie changes in white matter following injury (Pierpaoli et al., 2001; Song et al., 2002a). k reflects diffusivity parallel to axonal fibres.”
Multi-Contrast Human Neonatal Brain Atlas: Application to Normal Neonate Development Analysis (2011, methodology): “…six elements of the diffusion tensor were calculated for each pixel with multivariate linear fitting using DtiStudio (H. Jiang and S. Mori, Johns Hopkins University, Kennedy Krieger Institute, lbam.med.jhmi.edu or www.MriStudio.org) (Jiang et al., 2006; Mori et al., 2008; Pierpaoli et al., 2001).”
Reproducibility of quantitative tractography methods applied to cerebral white matter (2007, background): “On the other hand, it is well known that the technique can produce false positive and false negative results due to noise, partial volume effects, and complex fiber architectures within a pixel (Pierpaoli et al., 2001; Wiegell et al., 2000).”