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  Analyzing Spatial Distributions of FMRI "Bold" Signals by RQA Variables

Bianciardi, M., Sirabella, P., Hagberg, G., Giuliani, A., Zbilut, J., & Colosimo, A. (2004). Analyzing Spatial Distributions of FMRI "Bold" Signals by RQA Variables. In R. Benigni, A. Colosimo, A. Giuliani, P. Sirabella, & J. Zbilut (Eds.), International Meeting Complexity in the Living: A Problem-Oriented Approach (pp. 238-243). Roma, Italy: Istituto Superiore di Sanità.

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 Creators:
Bianciardi, M, Author
Sirabella, P, Author
Hagberg, G1, Author           
Giuliani , A, Author
Zbilut, JP, Author
Colosimo, A, Author
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1External Organizations, ou_persistent22              

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 Abstract: Recurrence Quantification Analysis (RQA) is a model-free method sensitive to both linear and non-linear time-dependent processes. The assumption-free RQ estimation of brain activation patterns thus offers an extension and improvement of conventional General Linear Modeling (GLM) approaches. In the present work we check the conjecture that parameters obtained by RQA can be used as indicators of significant MR signal changes during activation in the human brain. We produced recurrence plots of experimental fMRI data acquired on a subject performing a motor task and, by means of RQA variables, we analyzed signals
generated from different areas or volume elements of the brain. If brain activity can be reliably identified and imaged by such an approach, a spatial picture of the time dependent changes in the system may be developed and active/non active areas discriminated without too strict a
priori assumptions.

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 Dates: 2004-09
 Publication Status: Issued
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Title: International Meeting Complexity in the Living: A Problem-Oriented Approach
Place of Event: Roma, Italy
Start-/End Date: 2001-09-28 - 2001-09-30

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Title: International Meeting Complexity in the Living: A Problem-Oriented Approach
Source Genre: Proceedings
 Creator(s):
Benigni, R, Editor
Colosimo, A, Editor
Giuliani, A, Editor
Sirabella, P, Editor
Zbilut, JP, Editor
Affiliations:
-
Publ. Info: Roma, Italy : Istituto Superiore di Sanità
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 238 - 243 Identifier: -

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Title: Rapporti ISTISAN
Source Genre: Series
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Pages: - Volume / Issue: 05/20 Sequence Number: - Start / End Page: - Identifier: ISSN: 1123-3117