Normalized Cut Group Clustering of Resting-State fMRI Data
نویسندگان
چکیده
منابع مشابه
Normalized Cut Group Clustering of Resting-State fMRI Data
BACKGROUND Functional brain imaging studies have indicated that distinct anatomical brain regions can show coherent spontaneous neuronal activity during rest. Regions that show such correlated behavior are said to form resting-state networks (RSNs). RSNs have been investigated using seed-dependent functional connectivity maps and by using a number of model-free methods. However, examining RSNs ...
متن کاملHierarchical clustering to measure connectivity in fMRI resting-state data.
Low frequency oscillations, which are temporally correlated in functionally related brain regions, characterize the mammalian brain, even when no explicit cognitive tasks are performed. Functional connectivity MR imaging is used to map regions of the resting brain showing synchronous, regional and slow fluctuations in cerebral blood flow and oxygenation. In this study, we use a hierarchical clu...
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S. J. Kisner, T-Q. Li, Y. Wang, T. Talavage, V. Mathews, W. Kronenberger, D. Dunn Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, United States, Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States Introduction Flu...
متن کاملAnalysis of Whole-Brain Resting-State fMRI Data Using Hierarchical Clustering Approach
BACKGROUND Previous studies using hierarchical clustering approach to analyze resting-state fMRI data were limited to a few slices or regions-of-interest (ROIs) after substantial data reduction. PURPOSE To develop a framework that can perform voxel-wise hierarchical clustering of whole-brain resting-state fMRI data from a group of subjects. MATERIALS AND METHODS Resting-state fMRI measureme...
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Introduction In the last decade, there is increasing evidence that low frequency components of the BOLD response of functionally associated areas are correlated. This was first shown by Biswal et al. [1], who used functionally defined areas in the motor system for a classical correlation analysis. Another approach was developed by Salvador et al. [2], who used an anatomically defined template t...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2008
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0002001