75 citations · 75 across the 7 of their papers we have counts for
8 papers
brainlife.io: A decentralized and open source cloud platform to support neuroscience research
Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld +61
Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the comple…
Modularity maximization as a flexible and generic framework for brain network exploratory analysis
Farnaz Zamani Esfahlani, Youngheun Jo, Maria Grazia Puxeddu +6
The modular structure of brain networks supports specialized information processing, complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular s…
Edges in Brain Networks: Contributions to Models of Structure and Function
Joshua Faskowitz, Richard F. Betzel, Olaf Sporns
Network models describe the brain as sets of nodes and edges that represent its distributed organization. So far, most discoveries in network neuroscience have prioritized insights…
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
Nikita Mokrov, Maxim Panov, Boris A. Gutman +3
This paper considers the problem of brain disease classification based on connectome data. A connectome is a network representation of a human brain. The typical connectome classif…
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz +5
There is no consensus on how to construct structural brain networks from diffusion MRI. How variations in pre-processing steps affect network reliability and its ability to disting…
Structural Connectome Validation Using Pairwise Classification
Dmitry Petrov, Boris Gutman, Alexander Ivanov +4
In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains. To do so, we classify st…