Talairach Coordinates

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James S Hyde - One of the best experts on this subject based on the ideXlab platform.

  • software tools for analysis and visualization of fmri data
    NMR in Biomedicine, 1997
    Co-Authors: James S Hyde
    Abstract:

    The tools needed for analysis and visualization of three-dimensional human brain functional magnetic resonance image results are outlined, covering the processing categories of data storage, interactive vs batch mode operations, visualization, spatial normalization (Talairach Coordinates, etc.), analysis of functional activation, integration of multiple datasets, and interface standards. One freely available software package is described in some detail. The features and scope that a generally useful and extensible fMRI toolset should have are contrasted with what is available today. The article ends with a discussion of how the fMRI research community can cooperate to create standards and develop software that meets the community's needs. © 1997 John Wiley & Sons, Ltd.

  • software tools for analysis and visualization of fmri data
    NMR in Biomedicine, 1997
    Co-Authors: Robert W Cox, James S Hyde
    Abstract:

    The tools needed for analysis and visualization of three-dimensional human brain functional magnetic resonance image results are outlined, covering the processing categories of data storage, interactive vs batch mode operations, visualization, spatial normalization (Talairach Coordinates, etc.), analysis of functional activation, integration of multiple datasets, and interface standards. One freely available software package is described in some detail. The features and scope that a generally useful and extensible fMRI toolset should have are contrasted with what is available today. The article ends with a discussion of how the fMRI research community can cooperate to create standards and develop software that meets the community's needs.

Alex W. Thomas - One of the best experts on this subject based on the ideXlab platform.

Peter T Fox - One of the best experts on this subject based on the ideXlab platform.

  • comparison of the disparity between Talairach and mni Coordinates in functional neuroimaging data validation of the lancaster transform
    NeuroImage, 2010
    Co-Authors: Angela R. Laird, Diana Tordesillasgutierrez, Jennifer L Robinson, Kathryn M Mcmillan, Sarah T Moran, Sabina M Gonzales, Kimberly L Ray, Crystal Franklin, David C Glahn, Peter T Fox
    Abstract:

    Spatial normalization of neuroimaging data is a standard step when assessing group effects. As a result of divergent analysis procedures due to different normalization algorithms or templates, not all published Coordinates refer to the same neuroanatomical region. Specifically, the literature is populated with results in the form of MNI or Talairach Coordinates, and their disparity can impede the comparison of results across different studies. This becomes particularly problematic in coordinate-based meta-analyses, wherein coordinate disparity should be corrected to reduce error and facilitate literature reviews. In this study, a quantitative comparison was performed on two corrections, the Brett transform (i.e., “mni2tal”), and the Lancaster transform (i.e., “icbm2tal”). Functional magnetic resonance imaging (fMRI) data acquired during a standard paired associates task indicated that the disparity between MNI and Talairach Coordinates was better reduced via the Lancaster transform, as compared to the Brett transform. In addition, an activation likelihood estimation (ALE) meta-analysis of the paired associates literature revealed that a higher degree of concordance was obtained when using the Lancaster transform in the form of fewer, smaller, and more intense clusters. Based on these results, we recommend that the Lancaster transform be adopted as the community standard for reducing disparity between results reported as MNI or Talairach Coordinates, and suggest that future spatial normalization strategies be designed to minimize this variability in the literature.

  • bias between mni and Talairach Coordinates analyzed using the icbm 152 brain template
    Human Brain Mapping, 2007
    Co-Authors: Jack L Lancaster, Diana Tordesillasgutierrez, Michael J Martinez, Felipe S Salinas, Alan Evans, Karl Zilles, John C Mazziotta, Peter T Fox
    Abstract:

    MNI Coordinates determined using SPM2 and FSL/FLIRT with the ICBM-152 template were compared to Talairach Coordinates determined using a landmark-based Talairach registration method (TAL). Analysis revealed a clear-cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM-152 fitted brains were consistently larger, oriented more nose down, and translated slightly down relative to TAL fitted brains. Whole brain analysis of MNI/Talairach coordi- nate disparity revealed an ellipsoidal pattern with disparity ranging from zero at a point deep within the left hemisphere to greater than 1-cm for some anterior brain areas. MNI/Talairach coordinate dis- parity was generally less for brains fitted using FSL. The mni2tal transform generally reduced MNI/ Talairach coordinate disparity for inferior brain areas but increased disparity for anterior, posterior, and superior areas. Coordinate disparity patterns differed for brain templates (MNI-305, ICBM-152) using the same fitting method (FSL/FLIRT) and for different fitting methods (SPM2, FSL/FLIRT) using the same template (ICBM-152). An MNI-to-Talairach (MTT) transform to correct for bias between MNI and Talairach Coordinates was formulated using a best-fit analysis in one hundred high-resolution 3-D MR brain images. MTT transforms optimized for SPM2 and FSL were shown to reduced group mean MNI/Talairach coordinate disparity from a 5-13 mm to 1-2 mm for both deep and superficial brain sites. MTT transforms provide a validated means to convert MNI Coordinates to Talairach compatible Coordinates for studies using either SPM2 or FSL/FLIRT with the ICBM-152 template. Hum Brain Mapp

Alexandre Legros - One of the best experts on this subject based on the ideXlab platform.

Robert W Cox - One of the best experts on this subject based on the ideXlab platform.

  • software tools for analysis and visualization of fmri data
    NMR in Biomedicine, 1997
    Co-Authors: Robert W Cox, James S Hyde
    Abstract:

    The tools needed for analysis and visualization of three-dimensional human brain functional magnetic resonance image results are outlined, covering the processing categories of data storage, interactive vs batch mode operations, visualization, spatial normalization (Talairach Coordinates, etc.), analysis of functional activation, integration of multiple datasets, and interface standards. One freely available software package is described in some detail. The features and scope that a generally useful and extensible fMRI toolset should have are contrasted with what is available today. The article ends with a discussion of how the fMRI research community can cooperate to create standards and develop software that meets the community's needs.