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Proceedings Paper

A methodology for dynamic functional connectivity
Author(s): Tianhu Lei; John Dell; Timothy P. L. Roberts
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Paper Abstract

Classical measures of functional connectivity assume that the stationarity of the time courses and the time-invariance of functional connectivity under investigation. These assumptions may not be valid in the real cases. Also, they are bivariate measures and may not provide the directional information flow between brain units. A new approach is proposed to tackle these problems. A statistics reasoning shows that the short-length time course is more likely to be stationary than the long-length time course. Thus, the entire time course under investigation is divided into short segments with the proper length. Magnitude squared coherence (in spectrum domain) is computed to assess functional connectivity on these segments, hence, provides a dynamic measure of functional connectivity. The averaged magnitude squared coherence over the segments gives an overall measure of functional connectivity. This approach has been applied to several neuroimaging data analysis. The results and the interpretations / predictions are in good agreement. Mutual coherence (in time domain) is computed to assess functional connectivity, hence, provides an insight on directional information flow. By using grid computing, this approach will be extended from the bivariate to the multivariate.

Paper Details

Date Published: 9 March 2011
PDF: 12 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 796503 (9 March 2011); doi: 10.1117/12.878829
Show Author Affiliations
Tianhu Lei, The Children's Hospital of Philadelphia (United States)
Univ. of Pennsylvania (United States)
John Dell, The Children's Hospital of Philadelphia (United States)
Univ. of Pennsylvania (United States)
Timothy P. L. Roberts, The Children's Hospital of Philadelphia (United States)
Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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