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Neuroinformatics

, Volume 5, Issue 4, pp 223–234 | Cite as

REX: Response Exploration for Neuroimaging Datasets

  • Eugene P. DuffEmail author
  • Ross Cunnington
  • Gary F. Egan
Article

Abstract

Neuroimaging technologies produce large and complex datasets. The challenge of comprehensively analysing the recorded dynamics remains an important field of research. The whole-brain linear modelling of hypothesised response dynamics and experimental effects must utilise simple basis sets, which may not detect unexpected or complex signal effects. These unmodelled effects can influence statistical mapping results, and provide important additional clues to the underlying neural dynamics. They can be detected via exploration of the raw signal, however this can be difficult. Specialised visualisation tools are required to manage the huge number of voxels, events and scans. Many effects can be occluded by noise in individual voxel time-series. This paper describes a visualisation framework developed for the assessment of entire neuroimaging datasets.While currently available tools tend to be tied to a specific model of experimental effects, this framework includes a novel metadata schema that enables the rapid selection and processing of responses based on easily-adjusted classifications of scans, brain regions, and events. Flexible event-related averaging and process pipelining capabilities enable users to investigate the effects of preprocessing algorithms and to visualise power spectra and other transformations of the data. The framework has been implemented as a MATLAB package, REX (Response Exploration), which has been utilised within our lab and is now publicly available for download. Its interface enables the real-time control of data selection and processing, for very rapid visualisation. The concepts outlined in this paper have general applicability, and could provide significant further functionality to neuroimaging databasing and process pipeline environments.

Keywords

REX Exploration fMRI Response Analysis Metadata ROI Visualisation GLM Neuroimaging Region of interest 

Notes

Acknowledgements

Gary Egan has been supported by a GE NHMRC Principal Research Fellowship #400317. Thanks to Leonie Carabott, Michael Farrell, Hamed Asadi and Leigh Johnston.

 

Information Sharing Statement Source code for REX is available from www.neuroimaging.org.au/nig/REX/. REX has also been registered at The Neuroimaging Informatics Tools and Resources Clearinghouse www.NITRC.org.

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Copyright information

© Humana Press Inc. 2007

Authors and Affiliations

  • Eugene P. Duff
    • 1
    • 2
    Email author
  • Ross Cunnington
    • 3
  • Gary F. Egan
    • 1
  1. 1.The Howard Florey Institute and Centre for NeuroscienceThe University of MelbourneMelbourneAustralia
  2. 2.Department of Mathematics and StatisticsUniversity of MelbourneMelbourneAustralia
  3. 3.School of Psychology and Queensland Brain InstituteThe University of QueenslandBrisbaneAustralia

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