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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Visualization of group inference data in functional neuroimaging.

Jan Gläscher1

  • 1California Institute of Technology, Pasadena, 91125, USA. glascher@hss.caltech.edu

Neuroinformatics
|January 14, 2009
PubMed
Summary

A new toolbox, rfxplot, enhances visualization for second-level analyses in Statistical Parametric Mapping (SPM). This tool aids in exploring complex functional neuroimaging data and generating publication-quality figures.

Area of Science:

  • Neuroimaging
  • Statistical Analysis
  • Data Visualization

Background:

  • Statistical parametric maps are limited in visualizing complex effects in functional neuroimaging.
  • Existing visualization options for second-level analyses in Statistical Parametric Mapping (SPM) are sparse.
  • Plotting underlying data is crucial for characterizing complex experimental effects.

Purpose of the Study:

  • To introduce rfxplot, a new toolbox for enhancing data visualization in second-level SPM analyses.
  • To provide comprehensive plotting options for population-level inference in neuroimaging.
  • To facilitate both data exploration and figure generation for publications.

Main Methods:

  • rfxplot retrieves data from underlying first-level analyses in SPM.

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  • It offers plots of average effect sizes, fitted responses, and event-related BOLD time courses.
  • Voxel selection can be customized to the maximum effect within a defined search volume.
  • Configuration is possible via a graphical user interface or non-interactively via script.

    • Main Results:

    • rfxplot provides diverse plotting options for second-level SPM analyses.
    • The toolbox enables visualization of average effect sizes across subjects.
    • It generates plots of averaged fitted responses and event-related BOLD time courses.
    • Voxel selection is flexible, focusing on maximum effects per subject.

    Conclusions:

    • rfxplot effectively addresses the limitations in visualizing second-level neuroimaging data.
    • The toolbox supports detailed data exploration and the creation of high-quality figures for scientific publications.
    • rfxplot enhances the characterization of complex experimental effects in population-level neuroimaging studies.