Journal ArticleDOI
Statistical methods for detecting activated regions in functional mri of the brain
Babak A. Ardekani,Iwao Kanno +1 more
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TLDR
Two statistical tests for detecting activated pixels in functional MRI (fMRI) data are presented and the results are shown to be equivalent to the cross-correlation method that is widely used for activation detection in fMRI.About:
This article is published in Magnetic Resonance Imaging.The article was published on 1998-12-01. It has received 66 citations till now. The article focuses on the topics: Signal subspace & White noise.read more
Citations
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Journal ArticleDOI
Detection of neural activity in functional MRI using canonical correlation analysis.
TL;DR: The proposed CCA method makes it possible to detect activated brain regions based not only on thresholding a correlation coefficient, but also on physiological parameters such as temporal shape and delay of the hemodynamic response.
Journal ArticleDOI
Statistical analysis of multi-subject fMRI data: assessment of focal activations.
TL;DR: A simple procedure for analyzing multi‐subject functional magnetic resonance imaging (fMRI) data is proposed, in the first step, a voxel‐wise t‐test across standardized z‐maps is performed to identify areas that are consistently activated across subjects.
Journal ArticleDOI
Activation detection in functional MRI using subspace modeling and maximum likelihood estimation
TL;DR: A statistical test is derived and shown to be the uniformly most powerful (UMP) test invariant to a group of transformations which are natural to the hypothesis testing problem.
Journal ArticleDOI
Specificity of Action Representations in the Lateral Occipitotemporal Cortex
Joseph W. Kable,Anjan Chatterjee +1 more
TL;DR: These action-specific adaptation effects provide compelling evidence that representations in the pSTS, MT/MST, and EBA abstract actions from the agents involved and distinguish between different particular actions.
Journal ArticleDOI
Bayesian second-level analysis of functional magnetic resonance images
Jane Neumann,Gabriele Lohmann +1 more
TL;DR: A comparison of this method with the conventional analysis based on t statistics shows that the new approach is more robust against outliers and facilitates inferences which are hard to formulate in terms of classical inferences.
References
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Journal ArticleDOI
A new look at the statistical model identification
TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI
Statistical parametric maps in functional imaging: A general linear approach
Karl J. Friston,Andrew P. Holmes,Keith J. Worsley,J-B. Poline,Chris D. Frith,Richard S. J. Frackowiak +5 more
TL;DR: In this paper, the authors present a general approach that accommodates most forms of experimental layout and ensuing analysis (designed experiments with fixed effects for factors, covariates and interaction of factors).
Journal ArticleDOI
Brain magnetic resonance imaging with contrast dependent on blood oxygenation
TL;DR: In this paper, the authors demonstrate in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level, which can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions.
Brainmagnetic resonance imaging withcontrast dependent on blood oxygenation
TL;DR: It is demonstrated that in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions.