Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

The hubs of the human connectome are generally implicated in the anatomy of brain disorders

Title: The hubs of the human connectome are generally implicated in the anatomy of brain disorders
Authors: Crossley, NA; Mechelli, A; Scott, J; Carletti, F; Fox, PT; McGuire, P; Bullmore, ET
Publisher Information: Oxford University Press
Publication Year: 2026
Collection: Oxford University Research Archive (ORA)
Description: Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists of connectivity changes between oscillatory processes at different frequency channels. We proposed a multi-layer network approach to analyze multiple-frequency brain networks inferred from magnetoencephalographic recordings during resting-states in AD subjects and age-matched controls. Main results showed that brain networks tend to facilitate information propagation across different frequencies, as measured by the multi-participation coefficient (MPC). However, regional connectivity in AD subjects was abnormally distributed across frequency bands as compared to controls, causing significant decreases of MPC. This effect was mainly localized in association areas and in the cingulate cortex, which acted, in the healthy group, as a true inter-frequency hub. MPC values significantly correlated with memory impairment of AD subjects, as measured by the total recall score. Most predictive regions belonged to components of the default-mode network that are typically affected by atrophy, metabolism disruption and amyloid-beta deposition. We evaluated the diagnostic power of the MPC and we showed that it led to increased classification accuracy (78.39%) and sensitivity (91.11%). These findings shed new light on the brain functional alterations underlying AD and provide analytical tools for identifying multi-frequency neural mechanisms of brain diseases.Comment: 27 pages, 6 figures, 3 tables, 3 supplementary figure
Document Type: article in journal/newspaper
Language: English
Relation: https://doi.org/10.1093/brain/awu132
DOI: 10.1093/brain/awu132
Availability: https://doi.org/10.1093/brain/awu132; https://ora.ox.ac.uk/objects/uuid:7d5fe9b9-74ff-42a3-9fc4-2ae8a292ac5e
Rights: info:eu-repo/semantics/openAccess ; Other
Accession Number: edsbas.EC1B3A38
Database: BASE