The effect of filter size on VBM analyses of DT-MRI data

By Derek K. Jones, Mark R. Symms, Mara Cercignani, Robert J. Howard. NeuroImage, 2005

624 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f21fba962ee4af8a1888a790f9025f5fbb80769d

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In Computational Mathematics

In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Gender differences and age-related white matter changes of the human brain: A diffusion tensor imaging study (2008, positive): “The amount of smoothing can greatly affect the final results, but there is no uniform principle for choosing an appropriate kernel size (Jones et al., 2005).”
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (2006, neutral): “A second problem relates to the standard practice of spatially smoothing data before computing voxelwise statistics—the amount of smoothing can greatly affect the final results, but there is no principled way of deciding how much smoothing is the ‘‘correct’’ amount (Jones et al., 2005).”
Template-O-Matic: A toolbox for creating customized pediatric templates (2008, background): “…the spatial scale at which changes are most sensitively detected (matched filter theorem; Ashburner and Friston, 2000; Salmond et al., 2003; Jones et al., 2005), we decided to explore three different smoothing widths in order to allow for a variable explaining variance differently on…”
Methodological considerations on tract-based spatial statistics (TBSS) (2014, background): “Cit a tion for final p u blish e d ve r sion:”
White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. (2007, background): “In some cases, large smoothing kernels can potentially reduce group differences (Jones et al., 2005).”
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, methodology): “This approach includes smoothing of the diffusivity maps, a step that is generally not recommended for DTI data (Jones et al., 2005).”
Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants (2009, positive): “However, some reports have criticized the use of such a filtering procedure (Jones et al., 2005), especially for the WM structures, because of sharp transitions in structural units; tracts with very different functions could be only a few pixels away.”
How and how not to correct for CSF-contamination in diffusion MRI (2012, positive): “Such changes have been demonstrated in a number of clinical populations, for instance, in patients with schizophrenia (for review see Jones et al., 2005a, 2005b, 2005c; Kubicki et al., 2007), depression and bipolar disorder (for review see Maller et al., 2010), attention deficit hyperactivity…”
Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: the orbitofronto-striatal model revisited. (2008, background): “From a methodological perspective, there are some criticisms about potential confounds from the preprocessing methods employed in structural VBM, such as difficulties in alignment of non-homologous brains (Crum et al., 2003) and in choosing smoothing kernel size (Jones et al., 2005).”
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, background): “Several DTI studies of acute stroke reported reduced anisotropy at the lesion site (Sorensen et al. 1999; Sotak 2002; Zelaya et al. 1999), while other studies reported increased anisotropy at the lesion site in some patients (Carano et al. 2000; Yang et al. 1999; Kafri et al. 2005).”
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”
Diffusion Tensor Imaging and Beyond (2011, neutral): “The use of spatial filtering is also a subject of controversy as it may not mitigate the adverse effect of structural misalignment between images, and particularly as the voxel-based analyses results are highly dependent on the amount and type of the filtering (80-82).”
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, background): “For example, if the effect of interest is highly focal (or diffuse), then a higher (or lower) resolution parcellation might be more effective (Jones et al. 2005; Zalesky et al. 2010b).”