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Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling.

, , , and . ICASSP, page 1-5. IEEE, (2023)

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Structure-function dependencies as informative features for brain decoding and fingerprinting., , and . ACSCC, page 1284-1287. IEEE, (2021)Resting-brain functional connectivity predicted by analytic measures of network communication, , , , , , , , , and . Proceedings of the National Academy of Sciences, 111 (2): 833--838 (Jan 14, 2014)Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity., , , and . Netw. Sci., 1 (3): 353-373 (2013)Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study., and . EUSIPCO, page 942-946. IEEE, (2022)Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling., , , and . ICASSP, page 1-5. IEEE, (2023)Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems., , , , , , , and . NeuroImage, (2017)Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations., , , , , and . NeuroImage, (2021)Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study., , , , , , , and . Brain Connect., 7 (9): 541-557 (2017)Brain structure-function coupling provides signatures for task decoding and individual fingerprinting., , , , and . NeuroImage, (2022)