Disrupted core-periphery structure of multimodal brain networks in Alzheimer's Disease

Abstract

In Alzheimer's disease (AD), the progressive atrophy leads to aberrant network reconfigurations both at structural and functional levels. In such network reorganization, the core and peripheral nodes appear to be crucial for the prediction of clinical outcome due to their ability to influence large-scale functional integration. However, the role of the different types of brain connectivity in such prediction still remains unclear. Using a multiplex network approach we integrated information from DWI, fMRI and MEG brain connectivity to extract an enriched description of the core-periphery structure in a group of AD patients and age-matched controls. Globally, the regional coreness - i.e., the probability of a region to be in the multiplex core - significantly decreased in AD patients as a result of the randomization process initiated by the neurodegeneration. Locally, the most impacted areas were in the core of the network - including temporal, parietal and occipital areas - while we reported compensatory increments for the peripheral regions in the sensorimotor system. Furthermore, these network changes significantly predicted the cognitive and memory impairment of patients. Taken together these results indicate that a more accurate description of neurodegenerative diseases can be obtained from the multimodal integration of neuroimaging-derived network data.

arXiv comment5 figures, 1 table, 1 supplementary figure, 2 supplementary tables

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Cited by in corpus (4)

• Disrupted core-periphery structure of multimodal brain networks in Alzheimer's Disease
• Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease
• The Atlas for the Aspiring Network Scientist
• BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks