A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia

  title={A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia},
  author={Ian C. Wright and Philip K. McGuire and J B Poline and J. M. Travere and Karl J. Friston},
We describe a novel technique for characterizing regional cerebral gray and white matter differences in structural magnetic resonance images by the application of methods derived from functional imaging. The technique involves automatic scalp-editing of images followed by segmentation, smoothing, and spatial normalization to a symmetrical template brain in stereotactic Talairach space. The basic idea is (i) to convert structural magnetic resonance image data into spatially normalized images of… Expand
Voxel-based morphometry of the human brain: Methods and applications
VBM has been useful in characterizing subtle changes in brain structure in a variety of diseases associated with neurological and psychiatric dysfunction, including schizophrenia, developmental and congenital disorders, temporal lobe epilepsy and even cluster headache. Expand
Structural Angle and Power Images Reveal Interrelated Gray and White Matter Abnormalities in Schizophrenia
The findings demonstrate that structural phase and magnitude images can naturally and efficiently summarize the associated relationship between gray and white matter and identify tissue distribution abnormalities in schizophrenia. Expand
453 Mapping of gray matter changes in schizophrenia
Studies of brain changes in schizophrenia have suggested that the disorder is associated with reductions in both global and regional grey matter. In this study, we used structural neuroimaging toExpand
Voxel-based morphometry of grey matter densities in subjects at high risk of schizophrenia
Reductions in the probability of grey matter (GM) density were seen bilaterally in the anterior cingulate, and as a trend in the left parahippocampal gyrus for the high-risk vs. control subjects. Expand
In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease
This study has mapped gray matter density by means of voxel-based morphometry on T1-weighted MRI volume sets in 19 patients with mild AD and 16 healthy subjects of similar age and gender ratio and report highly significant clusters of gray matter loss with almost symmetrical distribution. Expand
Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs
Using brain-extracted inputs eliminated the non-brain matter inclusions and the cortical gray matter exclusions, reducing the residual mean square errors (RMSEs) by over 30%. Expand
Voxel-Based Morphometry—The Methods
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforwardExpand
Regional brain gray matter volume differences in patients with bipolar disorder as assessed by optimized voxel-based morphometry
Bipolar disorder is associated with volumetric and gray matter density changes that involve brain regions hypothesized to influence mood, and exploratory analyses suggest that these abnormalities might differ according to gender. Expand
Voxel-Based Morphometric Analysis of Gray Matter in First Episode Schizophrenia
Both the promise and utility of VBM in evaluating gray matter abnormalities in schizophrenia and the importance of comparing VBM findings with more traditional ROI analyses are suggested until the reasons for the differences between methods are determined are determined. Expand
An automatic framework for quantitative validation of voxel based morphometry measures of anatomical brain asymmetry
This study proposes a fully automatic methodology for the quantitative validation of brain tissue asymmetries as measured by Voxel Based Morphometry (VBM) from structural magnetic resonance (MR) images and suggested that VBM analysis strongly depended on the spatial normalization of the individual brain images, the selected template space, and the amount of spatial smoothing applied. Expand