Statistical network analysis for functional MRI: summary networks and group comparisons
نویسندگان
چکیده
منابع مشابه
Statistical Network Analysis for Functional MRI Running Head: STATISTICAL NETWORK ANALYSIS FOR FUNCTIONAL MRI Statistical Network Analysis for Functional MRI: Summary Networks and Group Comparisons
Comparing networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges in that network. This problem arises in the analysis of both weighted and unweighted networks. The term density is often used in this context, in order to refer to the mean edge weight of a weighted network, or to the number of edges in an unweighted...
متن کاملStatistical network analysis for functional MRI: summary networks and group comparisons
Comparing networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges in that network. This problem arises in the analysis of both weighted and unweighted networks. The term density is often used in this context, in order to refer to the mean edge weight of a weighted network, or to the number of edges in an unweighted...
متن کاملStatistical Models of Appearance for Functional Analysis of Cardiac MRI
We present a framework for the analysis of cardiac MRI using Statistical Models of Appearance. This thesis makes three major contributions. The first contribution involves the introduction of a new algorithm for fitting 3-D Active Appearance Models on cardiac MRI, using the inverse compositional image alignment algorithm. We observe a 60-fold increase in fitting speed and an accuracy that is on...
متن کاملStatistical Analysis of Functional MRI Data using Independent Component Analysis
Functional magnetic resonance imaging (fMRI) is a technique to map the brain, anatomically as well as physiologically, which does not require any invasive analysis. In order to obtain brain activation maps, the subject under study must perform a task or be exposed to an external stimulus. At the same time a large amount of images are acquired using ultra-fast sequences through magnetic resonanc...
متن کاملHierarchical 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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2014
ISSN: 1662-5188
DOI: 10.3389/fncom.2014.00051