143 citations · 388 across the 6 of their papers we have counts for
6 papers
State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis
Saiful Islam, Pitambar Khanra, Johan Nakuci +3
Electroencephalogram (EEG) microstate analysis entails finding dynamics of quasi-stable and generally recurrent discrete states in multichannel EEG time series data and relating pr…
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models
Takahiro Ezaki, Yu Himeno, Takamitsu Watanabe +1
Recent studies have proposed that one can summarize brain activity into dynamics among a relatively small number of hidden states and that such an approach is a promising tool for…
Recurrence Quantification Analysis of Dynamic Brain Networks
Marinho A. Lopes, Jiaxiang Zhang, Dominik Krzemiński +4
Evidence suggests that brain network dynamics is a key determinant of brain function and dysfunction. Here we propose a new framework to assess the dynamics of brain networks based…
Clustering coefficients for correlation networks
Naoki Masuda, Michiko Sakaki, Takahiro Ezaki +1
The clustering coefficient quantifies the abundance of connected triangles in a network and is a major descriptive statistics of networks. For example, it finds an application in t…
Energy landscape analysis of neuroimaging data
Takahiro Ezaki, Takamitsu Watanabe, Masayuki Ohzeki +1
Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review…
Enhancing the spectral gap of networks by node removal
Takamitsu Watanabe, Naoki Masuda
Dynamics on networks are often characterized by the second smallest eigenvalue of the Laplacian matrix of the network, which is called the spectral gap. Examples include the thresh…