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De Haan, W. (author), Van der Flier, W.M. (author), Wang, H. (author), Van Mieghem, P.F.A. (author), Scheltens, P. (author), Stam, C.J. (author)
In Alzheimer’s disease (AD), structural and functional brain network organization is disturbed. However, many of the present network analysis measures require a priori assumptions and methodological choices that influence outcomes and interpretations. Graph spectral analysis (GSA) is a more direct algebraic method that describes network...
journal article 2012
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Li, C. (author), Wang, H. (author), De Haan, W. (author), Stam, C.J. (author), Van Mieghem, P.F.A. (author)
An increasing number of network metrics have been applied in network analysis. If metric relations were known better, we could more effectively characterize networks by a small set of metrics to discover the association between network properties/metrics and network functioning. In this paper, we investigate the linear correlation coefficients...
journal article 2011
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Stam, C.J. (author), Hillebrand, A. (author), Wang, H. (author), Van Mieghem, P. (author)
A network of 32 or 64 connected neural masses, each representing a large population of interacting excitatory and inhibitory neurons and generating an electroencephalography/magnetoencephalography like output signal, was used to demonstrate how an interaction between dynamics and connectivity might explain the emergence of complex network...
journal article 2010
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Wang, H. (author), Douw, L. (author), Hernández, J.M. (author), Reijneveld, J.C. (author), Stam, C.J. (author), Van Mieghem, P. (author)
Brain functioning such as cognitive performance depends on the functional interactions between brain areas, namely, the functional brain networks. The functional brain networks of a group of patients with brain tumors are measured before and after tumor resection. In this work, we perform a weighted network analysis to understand the effect of...
journal article 2010
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