Poster + Paper
2 April 2024 Cluster synchronization in fractional-order dynamic dementia networks
Author Affiliations +
Conference Poster
Abstract
Brain networks can be naturally divided into clusters or communities where the cluster’s nodes dynamics have similar trajectories in phase space. This process is known as synchronization, and represents characteristics of intragroup features and not between groups. Fractional calculus represents a generalization of ordinary differentiation and integration to arbitrary non-integer order, and can be thought of as a smooth interpolation between different orders of differentiation/integration, providing the ability to probe the system from many different viewpoints of the dynamics. Fractional calculus has been explored as an excellent tool for the description of memory in many processes and may be more accurate for modeling brain processes than traditional integer-order ones. We apply the concept of cluster synchronization in fractional-order structural brain networks ranging from healthy controls to Alzheimer’s disease subjects and determine whether cluster synchronization can be achieved in these networks. We observe the existence of a hypersynchronization only in AD structural networks and consider that this could represent an excellent non-invasive biomarker for tracking the disease evolution and decide upon therapeutic interventions.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Meyer-Baese, K. Mueller, Hae Sol Moon, G. Nagamani, U. Meyer-Baese, D. A. Bistrian, A. Stadlbauer, and H. Malberg "Cluster synchronization in fractional-order dynamic dementia networks", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 129302L (2 April 2024); https://doi.org/10.1117/12.3008247
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KEYWORDS
Brain

Control systems

Alzheimer disease

Brain diseases

Matrices

Dementia

Cognitive informatics

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