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Bispectrum-based Cross-frequency Functional Connectivity: A Study of Alzheimer’s Disease

Dominik Klepl, View ORCID ProfileFei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
doi: https://doi.org/10.1101/2021.08.07.455499
Dominik Klepl
1Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry CV1 2JH, UK
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Fei He
1Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry CV1 2JH, UK
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  • For correspondence: fei.he@coventry.ac.uk
Min Wu
2Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 138632, Singapore
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Daniel J. Blackburn
3Department of Neuroscience, University of Sheffield, Sheffield, S10 2HQ, UK
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Ptolemaios G. Sarrigiannis
4Department of Neurophysiology, Royal Devon and Exeter NHS Foundation Trust, Exeter, EX2 5DW, UK
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Posted August 08, 2021.
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Bispectrum-based Cross-frequency Functional Connectivity: A Study of Alzheimer’s Disease
Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
bioRxiv 2021.08.07.455499; doi: https://doi.org/10.1101/2021.08.07.455499
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Bispectrum-based Cross-frequency Functional Connectivity: A Study of Alzheimer’s Disease
Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis
bioRxiv 2021.08.07.455499; doi: https://doi.org/10.1101/2021.08.07.455499

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