fMRI bold signal analysis using a novel nonparametric statistical method

2007 ◽  
Vol 185 (1) ◽  
pp. 138-151 ◽  
Author(s):  
Patrick A. De Mazière ◽  
Marc M. Van Hulle
Keyword(s):  
Statistical Method ◽  
Signal Analysis ◽  
Bold Signal ◽  
Nonparametric Statistical ◽  
Nonparametric Statistical Method

STATISTICAL APPROACH TO MODELING OF SPATIOTEMPORAL DYNAMICS

2001 ◽  
Vol 11 (11) ◽  
pp. 2731-2738 ◽  
Author(s):  
SIMON MANDELJ ◽  
IGOR GRABEC ◽  
EDVARD GOVEKAR
Keyword(s):  
System Dynamics ◽  
Statistical Method ◽  
Spatiotemporal Dynamics ◽  
State Variable ◽  
Local Modeling ◽  
Spatially Extended ◽  
Recorded Data ◽  
Nonparametric Statistical ◽  
Nonparametric Statistical Method ◽  
Extended Dynamic

Often in the analysis of spatially extended dynamic systems, we do not know an analytical model of the system dynamics, but we can provide spatiotemporal records of the characteristic state variable. The question then arises of how to extract a model of the system dynamics from the corresponding data. As a quite general solution of this problem, we propose a nonparametric statistical method of local modeling. The performance of the proposed method is demonstrated by predicting typical examples of spatiotemporal chaotic data. The results of modeling indicate that the statistical method can be applied to modeling the deterministic properties of spatiotemporal dynamics in terms of recorded data.

scholarly journals Nonparametric flow cytometry analysis.

1979 ◽  
Vol 27 (1) ◽  
pp. 293-296 ◽  
Author(s):  
C B Bagwell ◽  
J L Hudson ◽  
G L Irvin
Keyword(s):  
Flow Cytometry ◽  
Statistical Method ◽  
Biological Systems ◽  
Bayes Theorem ◽  
Statistical Test ◽  
Flow Cytometry Analysis ◽  
Nonparametric Statistical Test ◽  
The Mean ◽  
Nonparametric Statistical

A nonparametric statistical test for the analysis of flow cytometry derived histograms is presented. The method involves smoothing and translocation of data, area normalization, channel by channel determination of the mean and S.D., and use of Bayes' theorem for unknown histogram classification. With this statistical method, different sets of histograms from numerous biological systems can be compared.

Concurrent NIRS-fMRI activation studies by using a new method for BOLD signal analysis

2007 ◽  
Author(s):  
Angelo Sassaroli ◽  
Bruce d. Frederick ◽  
Yunjie Tong ◽  
Perry F. Renshaw ◽  
Sergio Fantini
Keyword(s):  
Signal Analysis ◽  
New Method ◽  
Bold Signal
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