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

Jones, Derek K.; Symms, Mark R.; Cercignani, Mara; Howard, Robert

doi:10.1016/j.neuroimage.2005.02.013

Cited by 539 publications

(388 citation statements)

References 45 publications

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“…However, the size of the expected morphological differences is seldom known beforehand. Jones and colleagues reported different conclusions about the same patient-control comparison when different smoothing kernel sizes were applied in a VBM analysis of DTI data (Jones et al, 2005). The importance of matched filtering was clear in our VBM analysis of T1-weighted images.…”

Section: Discussionmentioning

confidence: 88%

Brain structural abnormalities in survivors of pediatric posterior fossa brain tumors: A voxel-based morphometry study using free-form deformation

et al. 2008

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Voxel-based morphometry was used to compare brain structure morphology of survivors of posterior fossa brain tumor (PFBT) with that of normal sibling controls to investigate disease-or cancer treatment-induced changes. Two different spatial normalization approaches that are available in public domain software (free-form deformation (FFD) and discrete cosine transform (DCT)) were compared for accuracy of normalization in the PFBT patients. Anatomical landmark matching demonstrated that spatial normalization was more accurate with FFD than with DCT. Voxel-based morphometry of the FFD-normalized magnetic resonance images from PFBT survivors and sibling controls detected reduced gray matter density in the thalamus and entorhinal cortex and reduced white matter density in the internal capsule, hypothalamus, corpus callosum, and cuneus of the occipital lobe in the PFBT survivors. Identification of these morphologic lesions may help localize the neural substrates of disease-or therapy-induced cognitive deficits in survivors of childhood cancer.

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Section: Discussionmentioning

confidence: 88%

Brain structural abnormalities in survivors of pediatric posterior fossa brain tumors: A voxel-based morphometry study using free-form deformation

et al. 2008

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“…The third limitation is that none of our results survived correction for multiple comparisons, which is a common tendency in synesthesia studies (see Supplementary Material -Introduction: Table 1). In our case, both the use of an alternative statistical approach (nonparametric tests, given the size of our sample) and the finding of significant results even with a small spatial filter (4 mm), that is less likely to give significant results (Jones et al 2005), account for the reliability of the reported data. Despite these limitations and other possible artifacts arising from methodological constraints, the combination of VBM and DTI has provided accurate information about the nature of gray and white matter in the brain of synesthetes and has revealed structural data that are relevant to find a bridge between developmental and acquired synesthesia.…”

Section: The Canonical Regions Of Interestmentioning

confidence: 80%

Grapheme-color synesthetes show peculiarities in their emotional brain: cortical and subcortical evidence from VBM analysis of 3D-T1 and DTI data

et al. 2013

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Grapheme-color synesthesia is a neurological phenomenon in which viewing achromatic letters/numbers leads to automatic and involuntary color experiences. In this study, voxel-based morphometry analyses were performed on Tl images and fractional anisotropy measures to examine the whole brain in associator grapheme-color synesthetes. These analyses provide new evidence of variations in emotional areas (both at the cortical and subcortical levels), findings that help understand the emotional component as a relevant aspect of the synesthetic experience. Additionally, this study replicates previous findings in the left intraparietal sulcus and, for the first time, reports the existence of anatomical differences in subcortical gray nuclei of developmental grapheme-color synesthetes, providing a link between acquired and developmental synesthesia. This empirical evidence, which goes beyond modality-specific areas, could lead to a better understanding of grapheme-color synesthesia as well as of other modalities of the phenomenon.

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“…Currently, despite many VBM studies, there is no clear consensus between an optimum smoothing kernel size. We chose the above smoothing kernel based on previous data published by Jones et al (2005a) and also that fit our empirical processing criteria.…”

Section: Analysis Of Imagesmentioning

confidence: 99%

Diffusion tensor imaging in schizophrenia: Relationship to symptoms

Skelly

Calhoun

Meda

et al. 2008

Schizophrenia Research

117

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In this diffusion tensor imaging (DTI) study, the authors investigated white matter integrity in schizophrenia and the relationships between white matter alterations and specific symptoms of the disorder. We compared DTI images of 25 schizophrenia patients and 25 matched healthy controls and performed voxel-wise correlational analyses using the patient's DTI data and their severity scores of positive and negative symptoms. We found diffuse deficits in multiple types of white matter tracts in schizophrenia, and an inverse relationship of DTI fractional anisotropy (FA) values with positive symptom scores in association fibers, supporting a "disconnection" hypothesis of positive symptoms in schizophrenia.

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

Cited by 539 publications

References 45 publications

Brain structural abnormalities in survivors of pediatric posterior fossa brain tumors: A voxel-based morphometry study using free-form deformation

Brain structural abnormalities in survivors of pediatric posterior fossa brain tumors: A voxel-based morphometry study using free-form deformation

Grapheme-color synesthetes show peculiarities in their emotional brain: cortical and subcortical evidence from VBM analysis of 3D-T1 and DTI data

Diffusion tensor imaging in schizophrenia: Relationship to symptoms

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