Studying Sub-Dendrograms of Resting-State Functional Networks with Voxel-Wise Hierarchical Clustering
نویسندگان
چکیده
منابع مشابه
Studying Sub-Dendrograms of Resting-State Functional Networks with Voxel-Wise Hierarchical Clustering
Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as the entire visual or sensory-motor cortex. In this study, we developed a voxel-wise, whole-brain hierarchical clustering framework to perform m...
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A network approach to brain and dynamics opens new perspectives towards understanding of its function. The functional connectivity from functional MRI recordings in humans is widely explored at large scale, and recently also at the voxel level. The networks of dynamical directed connections are far less investigated, in particular at the voxel level. To reconstruct full brain effective connecti...
متن کاملClustering of Resting State Networks
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...
متن کاملDynamic recruitment of resting state sub-networks
Resting state networks (RSNs) are of fundamental importance in human systems neuroscience with evidence suggesting that they are integral to healthy brain function and perturbed in pathology. Despite rapid progress in this area, the temporal dynamics governing the functional connectivities that underlie RSN structure remain poorly understood. Here, we present a framework to help further our und...
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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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2016
ISSN: 1662-5161
DOI: 10.3389/fnhum.2016.00075