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Found 6 papers, 2 papers with code
Partial entropy decomposition reveals higher-order structures in human brain activity
The standard approach to modeling the human brain as a complex system is with a network, where the basic unit of interaction is a pairwise link between two brain regions.
Modularity maximization as a flexible and generic framework for brain network exploratory analysis
Next, we show that the modularity maximization frame is well-suited for detecting task- and condition-specific modules.
Edges in Brain Networks: Contributions to Models of Structure and Function
Here, we underscore the important contributions made by brain network edges for understanding distributed brain organization.
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
There is no consensus on how to construct structural brain networks from diffusion MRI.
Structural Connectome Validation Using Pairwise Classification
In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains.
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents
In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes.
