Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …
increasing. Surprisingly, the development of theory and domain-specific applications often …
Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
The synchronized dynamics of time-varying networks
Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …
investigating the intimate relationships between the topological properties characterizing the …
Graph signal processing: Overview, challenges, and applications
Research in graph signal processing (GSP) aims to develop tools for processing data
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …
[HTML][HTML] Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation
The organization of human brain networks can be measured by capturing correlated brain
activity with fMRI. There is considerable interest in understanding how brain networks vary …
activity with fMRI. There is considerable interest in understanding how brain networks vary …
Graph theory methods: applications in brain networks
O Sporns - Dialogues in clinical neuroscience, 2018 - Taylor & Francis
Network neuroscience is a thriving and rapidly expanding field. Empirical data on brain
networks, from molecular to behavioral scales, are ever increasing in size and complexity …
networks, from molecular to behavioral scales, are ever increasing in size and complexity …
Network neuroscience
DS Bassett, O Sporns - Nature neuroscience, 2017 - nature.com
Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …
underlying complex brain function and cognition remains incomplete. Network neuroscience …
Communication dynamics in complex brain networks
A Avena-Koenigsberger, B Misic… - Nature reviews …, 2018 - nature.com
Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …
function. Network science approaches to modelling and analysing the dynamics of …
[图书][B] Multilayer networks: structure and function
G Bianconi - 2018 - books.google.com
Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …
and the function of complex systems formed by several interacting networks. Multilayer …
[HTML][HTML] The dynamic functional connectome: State-of-the-art and perspectives
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …