Functional Integration and Segregation in a Multilayer Network Model of Patients with Schizophrenia [PDF]
Brain Sciences, 2022 Research has shown that abnormal brain networks in patients with schizophrenia appear at different frequencies, but the relationship between these different frequencies is unclear.
Jing Wei +8 more
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Multilayer network changes in patients with migraine [PDF]
Brain and Behavior, 2023 Introduction To investigate changes in the multilayer network in patients with migraine compared to healthy controls. Methods: This study enrolled 82 patients with newly diagnosed migraine without aura and 53 healthy controls.
Jinseung Kim +3 more
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An Internet-Oriented Multilayer Network Model Characterization and Robustness Analysis Method [PDF]
Entropy, 2022 The Internet creates multidimensional and complex relationships in terms of the composition, application and mapping of social users. Most of the previous related research has focused on the single-layer topology of physical device networks but ignored ...
Yongheng Zhang +4 more
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Frequency-based brain networks: From a multiplex framework to a full multilayer description [PDF]
Network Neuroscience, 2018 We explore how to study dynamical interactions between brain regions by using functional multilayer networks whose layers represent different frequency bands at which a brain operates.
Javier M. Buldú, Mason A. Porter
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Multimodal multilayer network centrality relates to executive functioning [PDF]
Network Neuroscience, 2023 Executive functioning (EF) is a higher order cognitive process that is thought to depend on a network organization facilitating integration across subnetworks, in the context of which the central role of the fronto-parietal network (FPN) has been ...
Lucas C. Breedt +15 more
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Multilayer brain network modeling and dynamic analysis of juvenile myoclonic epilepsy
Frontiers in Behavioral Neuroscience, 2023 Objective: It is indisputable that the functional connectivity of the brain network in juvenile myoclonic epilepsy (JME) patients is abnormal. As a mathematical extension of the traditional network model, the multilayer network can fully capture the ...
Ming Ke, Changliang Wang, Guangyao Liu
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Application of Multilayer Network Models in Bioinformatics [PDF]
Frontiers in Genetics, 2021 Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the ...
Yuanyuan Lv +4 more
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Comparison of Graph Distance Measures for Movie Similarity Using a Multilayer Network Model [PDF]
EntropyGraph distance measures have emerged as an effective tool for evaluating the similarity or dissimilarity between graphs. Recently, there has been a growing trend in the application of movie networks to analyze and understand movie stories.
Majda Lafhel +3 more
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Universal multilayer network embedding reveals a causal link between GABA neurotransmitter and cancer [PDF]
BMC BioinformaticsBackground The volume and complexity of biological data have significantly increased in recent years, often represented as network models continue to increase at a rapid pace.
Léo Pio-Lopez, Michael Levin
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Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks
Entropy, 2022 Network alignment (NA) is a popular research field that aims to develop algorithms for comparing networks. Applications of network alignment span many fields, from biology to social network analysis. NA comes in two forms: global network alignment (GNA),
Marianna Milano +2 more
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