Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease

Jérémy Guillon (1) , Mario Chavez (2, 3) , Federico Battiston (1) , Yohan Attal (4) , Valentina La Corte (5) , Michel Thiebaut de Schotten (2) , Bruno Dubois (1) , Denis Schwartz (2) , Olivier Colliot (2, 1) , Fabrizio de Vico Fallani (2, 1)

1 ARAMIS - Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]
2 ICM - Institut du Cerveau = Paris Brain Institute
3 GIN - [GIN] Grenoble Institut des Neurosciences
4 myBrainTechnologies
5 CHU Pitié-Salpêtrière [AP-HP]

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 because of 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-that is, the probability of a region to be in the multiplex core-significantly decreased in AD patients as result of a random disconnection 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.

Mots clés: DWI; Brain connectivity; MEG; Multilayer network theory; Neurodegenerative diseases; fMRI

Domaines: Neurobiologie; Imagerie; Traitement des images [eess.IV]; Imagerie médicale; Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement du signal et de l'image [eess.SP]

Jérémy Guillon, Mario Chavez, Federico Battiston, Yohan Attal, Valentina La Corte, et al.. Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease. Network Neuroscience, 2019, 3 (2), pp.635-652. ⟨10.1162/netn_a_00087⟩. ⟨hal-02265308⟩