A Statistical Method to Distinguish Functional Brain Networks
نویسندگان
چکیده
منابع مشابه
A Statistical Method to Distinguish Functional Brain Networks
One major problem in neuroscience is the comparison of functional brain networks of different populations, e.g., distinguishing the networks of controls and patients. Traditional algorithms are based on search for isomorphism between networks, assuming that they are deterministic. However, biological networks present randomness that cannot be well modeled by those algorithms. For instance, func...
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http://dx.doi.org/10.1016/j.cviu.2014.07.007 1077-3142/ 2014 Elsevier Inc. All rights reserved. q This work was supported by the National Basic Research Program of China (973 Program) under Grant No. 2012CB316400; the National Natural Science Foundation of China under Grant No. 61075007 and No. 61273252. ⇑ Corresponding author. E-mail address: [email protected] (X. Wang). Xiaofeng Wang a,⇑, ...
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The study of random networks in a neuroscientific context has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the statistical comparison of brain networks in a nonparametric framework and discuss the associated detection and identification problems. We tested network diff...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2017
ISSN: 1662-453X
DOI: 10.3389/fnins.2017.00066