Selective impairment of hippocampus and posterior hub areas in Alzheimer's disease: an MEG-based multiplex network study.

Although frequency-specific network analyses have shown that functional brain networks are altered in patients with Alzheimer's disease, the relationships between these frequency-specific network alterations remain largely unknown. Multiplex network analysis is a novel network approach to study comp...

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Publicado en:Brain: A Journal of Neurology Vol. 140; no. 5; pp. 1466 - 1486
Autores principales: Meichen Yu, Engels, Marjolein M. A., Hillebrand, Arjan, van Straaten, Elisabeth C.W., Gouw, Alida A., Teunissen, Charlotte, van der Flier, Wiesje M., Scheltens, Philip, Stam, Cornelis J., Yu, Meichen
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Oxford University Press / USA May2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2017
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      pub: Oxford University Press / USA
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        atl: Selective impairment of hippocampus and posterior hub areas in Alzheimer's disease: an MEG-based multiplex network study.
      aug:
        au:
          Meichen Yu
          Engels, Marjolein M. A.
          Hillebrand, Arjan
          van Straaten, Elisabeth C.W.
          Gouw, Alida A.
          Teunissen, Charlotte
          van der Flier, Wiesje M.
          Scheltens, Philip
          Stam, Cornelis J.
          Yu, Meichen
        affil: Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
      sug:
        subj:
          Alzheimer's Disease Physiopathology
          Neural Pathways Physiopathology
          Brain Physiology
          Hippocampus Physiopathology
          Peptides Cerebrospinal Fluid
          Alzheimer's Disease Cerebrospinal Fluid
          Cognition
          Case Control Studies
          Female
          Brain Physiopathology
          Middle Age
          Diagnosis, Neurologic
          Male
          Human
          Middle Aged: 45-64 years
          Female
          Male
      ab: Although frequency-specific network analyses have shown that functional brain networks are altered in patients with Alzheimer's disease, the relationships between these frequency-specific network alterations remain largely unknown. Multiplex network analysis is a novel network approach to study complex systems consisting of subsystems with different types of connectivity patterns. In this study, we used magnetoencephalography to integrate five frequency-band specific brain networks in a multiplex framework. Previous structural and functional brain network studies have consistently shown that hub brain areas are selectively disrupted in Alzheimer's disease. Accordingly, we hypothesized that hub regions in the multiplex brain networks are selectively targeted in patients with Alzheimer's disease in comparison to healthy control subjects. Eyes-closed resting-state magnetoencephalography recordings from 27 patients with Alzheimer's disease (60.6 ± 5.4 years, 12 females) and 26 controls (61.8 ± 5.5 years, 14 females) were projected onto atlas-based regions of interest using beamforming. Subsequently, source-space time series for both 78 cortical and 12 subcortical regions were reconstructed in five frequency bands (delta, theta, alpha 1, alpha 2 and beta band). Multiplex brain networks were constructed by integrating frequency-specific magnetoencephalography networks. Functional connections between all pairs of regions of interests were quantified using a phase-based coupling metric, the phase lag index. Several multiplex hub and heterogeneity metrics were computed to capture both overall importance of each brain area and heterogeneity of the connectivity patterns across frequency-specific layers. Different nodal centrality metrics showed consistently that several hub regions, particularly left hippocampus, posterior parts of the default mode network and occipital regions, were vulnerable in patients with Alzheimer's disease compared to control subjects. Of note, these detected vulnerable hubs in Alzheimer's disease were absent in each individual frequency-specific network, thus showing the value of integrating the networks. The connectivity patterns of these vulnerable hub regions in the patients were heterogeneously distributed across layers. Perturbed cognitive function and abnormal cerebrospinal fluid amyloid-β42 levels correlated positively with the vulnerability of the hub regions in patients with Alzheimer's disease. Our analysis therefore demonstrates that the magnetoencephalography-based multiplex brain networks contain important information that cannot be revealed by frequency-specific brain networks. Furthermore, this indicates that functional networks obtained in different frequency bands do not act as independent entities. Overall, our multiplex network study provides an effective framework to integrate the frequency-specific networks with different frequency patterns and reveal neuropathological mechanism of hub disruption in Alzheimer's disease.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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