Brain Connectivity Toolbox

The Brain Connectivity Toolbox ( is a MATLAB toolbox for complex-network (graph) analysis of structural and functional brain-connectivity data sets. Several people have contributed to the toolbox and users are welcome to contribute new functions with due acknowledgement.

References in zbMATH (referenced in 78 articles )

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  1. Calimeri, Francesco; Cauteruccio, Francesco; Cinelli, Luca; Marzullo, Aldo; Stamile, Claudio; Terracina, Giorgio; Durand-Dubief, Françoise; Sappey-Marinier, Dominique: A logic-based framework leveraging neural networks for studying the evolution of neurological disorders (2021)
  2. Gopalakrishnan Meena, Muralikrishnan; Taira, Kunihiko: Identifying vortical network connectors for turbulent flow modification (2021)
  3. Lima, Verusca S.; Madeiro, Francisco; Lima, Juliano B.: Three-dimensional steerable discrete cosine transform with application to 3D image compression (2021)
  4. Lukemire, Joshua; Kundu, Suprateek; Pagnoni, Giuseppe; Guo, Ying: Bayesian joint modeling of multiple brain functional networks (2021)
  5. Torres, Leo; Blevins, Ann S.; Bassett, Danielle; Eliassi-Rad, Tina: The why, how, and when of representations for complex systems (2021)
  6. Cheng, Hong; Cai, David; Zhou, Douglas: The extended Granger causality analysis for Hodgkin-Huxley neuronal models (2020)
  7. Chen, Shuo; Bowman, F. DuBois; Xing, Yishi: Detecting and testing altered brain connectivity networks with k-partite network topology (2020)
  8. Chen, Ximing; Ogura, Masaki; Preciado, Victor M.: Bounds on the spectral radius of digraphs from subgraph counts (2020)
  9. Demšar, Jure; Forsyth, Rob: Synaptic scaling improves the stability of neural mass models capable of simulating brain plasticity (2020)
  10. Ghaderi, Amir Hossein; Baltaretu, Bianca R.; Andevari, Masood Nemati; Bharmauria, Vishal; Balci, Fuat: Synchrony and complexity in state-related EEG networks: an application of spectral graph theory (2020)
  11. Hövel, Philipp; Viol, Aline; Loske, Philipp; Merfort, Leon; Vuksanović, Vesna: Synchronization in functional networks of the human brain (2020)
  12. Kumar R., Sunil; Balakrishnan, Kannan: Betweenness centrality in Cartesian product of graphs (2020)
  13. Li, Yuzhe; Shi, Dawei; Chen, Tongwen: Secure analysis of dynamic networks under pinning attacks against synchronization (2020)
  14. Lovato, Ilenia; Pini, Alessia; Stamm, Aymeric; Vantini, Simone: Model-free two-sample test for network-valued data (2020)
  15. Paul, Subhadeep; Chen, Yuguo: A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging (2020)
  16. Schilling, Kurt G.; Rogers, Baxter; Anderson, Adam W.; Landman, Bennett A.: Current challenges and future directions in diffusion MRI: from model- to data-driven analysis (2020)
  17. Xu, Min; Jog, Varun; Loh, Po-Ling: Optimal rates for community estimation in the weighted stochastic block model (2020)
  18. Aliverti, Emanuele; Durante, Daniele: Spatial modeling of brain connectivity data via latent distance models with nodes clustering (2019)
  19. Bianchi, Daniele; Billio, Monica; Casarin, Roberto; Guidolin, Massimo: Modeling systemic risk with Markov switching graphical SUR models (2019)
  20. Das, Anup; Sexton, Daniel; Lainscsek, Claudia; Cash, Sydney S.; Sejnowski, Terrence J.: Characterizing brain connectivity from human electrocorticography recordings with unobserved inputs during epileptic seizures (2019)

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