A correlation-matrix-based hierarchical clustering method for functional connectivity analysis
نویسندگان
چکیده
منابع مشابه
Hierarchical clustering for network analysis in functional connectivity MRI
Purpose of Study An increasing number of studies of functional connectivity within the brain are being performed using MRI, and such work has shown the potential to both better understand the healthy brain [1] and diagnose diseases of the brain [2]. These techniques are based on the blood oxygenation level dependent (BOLD) signal and areas of the brain known to be connected anatomically have be...
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BACKGROUND The analysis of brain imaging data often requires simplifying assumptions because exhaustive analyses are computationally intractable. Standard univariate and multivariate analyses of brain activity ignore interactions between regions and analyses of interactions (functional connectivity) reduce the computational challenge by using seed regions of interest or brain parcellations. N...
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One of the most promising avenues for compiling connectivity data originates from the notion that individual brain regions maintain individual connectivity profiles; the functional repertoire of a cortical area ("the functional fingerprint") is closely related to its anatomical connections ("the connectional fingerprint") and, hence, a segregated cortical area may be characterized by a highly c...
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Introduction: Functional connectivity refers to the spatially coherent patterns of low frequency (< 0.1 Hz) and spontaneous fluctuations in the fMRI signal [1]. These patterns, which are evident at a resting state, appear to represent the internal dynamics of the same brain systems that are engaged by various tasks (e.g. sensorimotor, language, emotion, memory among others) [1]. In contrast to ...
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ژورنال
عنوان ژورنال: Journal of Neuroscience Methods
سال: 2012
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2012.08.016