fMRI acquisition and analysis
Impacts of Simultaneous Multislice Acquisition on Sensitivity and Specificity in fMRI
... our analysis. If a group analysis of HCP data were conducted, sensitivity would be increased by combining the two runs from a subject, but when aliased regions coincide in both runs ...
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Multilingualism and fmri: Longitudinal Study of Second Language Acquisition
... and acquisition, we also have a research design that is theoretically informed and sensitive to important advancements in terms of the field of general linguistics, including cognitive and sociolinguistic ...
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Analysis of fmri Timeseries:
... Jittering event onsets with respect to scan onsets does not help the second practical issue concerning different slice acquisition times. This “slice-timing” problem (Henson et al., 1999) refers to the fact that, ...
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The Statistical Analysis of fmri Data
... the acquisition and analysis of fMRI data is intrinsically interdisciplinary in nature and involves contri- butions from researchers in neuroscience, psychology, physics and statistics, among ...
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On the analysis of layer-specific fMRI
... The framework of the GLM is a well described mathematical tool and many principles transfer directly to our proposed spatial application. The core assumption of the GLM (as well as of existing methods) is that the ...
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A brief introduction to fMRI data analysis
... This paper has discussed the application of R to functional neuroimaging. The first part of this article has given an overview of the basics of functional neuroimaging data acquisition, preprocessing, and ...
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A Neighborhood Method for Statistical Analysis of fMRI Data
... data analysis are evolving quickly in a fast growing community, because of the excellent temporal and spatial resolution of these data and the innocuous aspect of their acquisition in hu- man ...of ...
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Analysis of Fmri Data for Statistical Activation Mapping
... and fMRI experimental design techniques were studied in this ...obtaining fMRI data acquisition with spatially high resolution activation map overlaid on EPI image with the reduction of image ...
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Novel data-driven analysis methods for real-time fMRI and simultaneous EEG-fMRI neuroimaging
... neuronal activity is due to synaptic activity with which the neuron communicate and that is strongly related to different types of receptors involved in the process. Due to the presence of different receptors, the ...
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CiteSeerX — Analysis of fMRI time-series revisited – again
... The question addressed (if not answered) in this section relates to the best smoothing one should apply to the data before analysis. This is a complex area which involves a number of themes, some mathematical and ...
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Physiological models comparison for the analysis of ASL FMRI data
... The Arterial Spin Labelling (ASL) signal embodies two com- ponents: an hemodynamic or BOLD component and a perfusion one. The ASL signal comes from a T2* image acquisition with suc- cessive alternate control/tag ...
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Graph Analysis of fmri data
... Clustering Coefficient real / Clustering Coenfficient random Characteristic Path Length real / Characteristic Path Length random. J Functionally specialized (segregated) modules A[r] ...
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KCCA Feature Selection for fMRI Analysis
... In this study we also present a generalisation of the framework for canoni- cal correlation analysis. Our approach is based on the works of Gifi (1990) and Ketterling (1971). The purpose of the generalisation is ...
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Statistical Analysis Methods for the fMRI Data
... data analysis. After com- pleting the data collection using the fMRI, first step of analysis is to apply the preprocessing stages to the data to prepare them for different analysis ...tional ...
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Granger Causality in fmri connectivity analysis
... •G-causality and AR models are powerful tools in fMRI effective connectivity analysis. •GC is ideal for massive exploration of the structural model[r] ...
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Exploring fMRI Results Space : 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM
... univariate fMRI analyses using the most common software packages: AFNI, FSL, and SPM [which between them cover 80% of published fMRI analyses (Carp, 2012)], utilizing publicly available data from OpenfMRI 6 ...
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Data Acquisition And Analysis
... Data analysis is important in any scientific, technical or health-care discipline, where it is used for critical decisions and thinking. In addition, the familiarity you develop with these instruments and software ...
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Stability based testing for the analysis of fMRI data
... Lieberman, M. D., & Cunningham, W. A. (2009). Type i and type ii error concerns in fmri research; re-balancing the scale. Social cognitive and aective neuroscience, 4, 423428. Moerkerke, B., & Goetghebeur, E. ...
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Introduction to MRI Process and Review on fMRI Analysis
... In fMRI, contrast imaging technique is used to observe various parts of the brain or other organs of the human body which are found to be active at any given ...BOLD fMRI includes “Kenneth Kwong” and his ...
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Spatially regularized multifractal analysis for fMRI Data
... multifractal analysis for fMRI Data Philippe Ciuciu 1,2 , Herwig Wendt 3 , S´ebastien Combrexelle 3 and Patrice Abry 4 Abstract— Scale-free dynamics is nowadays a massively used paradigm to model infraslow ...
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