Wavelet-based clustering of resting state MRI data in the rat
نویسندگان
چکیده
منابع مشابه
Wavelet-based clustering of resting state MRI data in the rat.
While functional connectivity has typically been calculated over the entire length of the scan (5-10min), interest has been growing in dynamic analysis methods that can detect changes in connectivity on the order of cognitive processes (seconds). Previous work with sliding window correlation has shown that changes in functional connectivity can be observed on these time scales in the awake huma...
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Fractal-based Correlation Analysis for Resting State Functional Connectivity of the Rat Brain in Functional MRI
The most studies on functional connectivity have been done by analyzing the brain s hemodynamic response to a stimulation. On ’ the other hand, the low-frequency spontaneous fluctuations in the blood oxygen level dependent (BOLD) signals of functional MRI have been observed in the resting state. However, the BOLD signals in resting state are significantly corrupted by huge noises arising from c...
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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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BACKGROUND The goal of the study was to demonstrate a hierarchical structure of resting state activity in the healthy brain using a data-driven clustering algorithm. METHODOLOGY/PRINCIPAL FINDINGS The fuzzy-c-means clustering algorithm was applied to resting state fMRI data in cortical and subcortical gray matter from two groups acquired separately, one of 17 healthy individuals and the secon...
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ژورنال
عنوان ژورنال: Magnetic Resonance Imaging
سال: 2016
ISSN: 0730-725X
DOI: 10.1016/j.mri.2015.10.005