Multilayer brain connectivity analysis in Alzheimer’s disease using functional MRI data (Conference Presentation)

Anna Canal-Garcia; Dániel Veréb; Mite Mijalkov; Giovanni Volpe; Joana B. Pereira

doi:10.1117/12.2632379

4 October 2022 Multilayer brain connectivity analysis in Alzheimer’s disease using functional MRI data (Conference Presentation)

Anna Canal-Garcia, Dániel Veréb, Mite Mijalkov, Giovanni Volpe, Joana B. Pereira

Author Affiliations +

Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC122040W (2022) https://doi.org/10.1117/12.2632379
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

In this study we assess the dynamic modular organization in patients at different stages of Alzheimer’s Disease (AD) using resting-state functional MRI data. We built a temporal multiplex network using the time-series of 200 regions from different non-overlapping time windows. The organization of these networks was evaluated using the temporal multilayer modularity and node flexibility. We found changes in the temporal dynamics of functional brain networks in AD such a loss of flexibility as well as rearrangement and loss of brain modules across time windows. These alterations were more prominent in cognitively impaired groups, suggesting they might be useful in characterizing clinical progression in later disease stages.

Conference Presentation

Citation Download Citation

Anna Canal-Garcia, Dániel Veréb, Mite Mijalkov, Giovanni Volpe, and Joana B. Pereira "Multilayer brain connectivity analysis in Alzheimer’s disease using functional MRI data (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC122040W (4 October 2022); https://doi.org/10.1117/12.2632379

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