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MEG Beamformer-Based Reconstructions of Functional Networks in Mild Cognitive Impairment

López, Maria E ; Engels, Marjolein M A ; van Straaten, Elisabeth C W ; Bajo, Ricardo ; Delgado, María L ; Scheltens, Philip ; Hillebrand, Arjan ; Stam, Cornelis J ; Maestú, Fernando

Frontiers in aging neuroscience, 2017-04, Vol.9, p.107-107 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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  • Título:
    MEG Beamformer-Based Reconstructions of Functional Networks in Mild Cognitive Impairment
  • Autor: López, Maria E ; Engels, Marjolein M A ; van Straaten, Elisabeth C W ; Bajo, Ricardo ; Delgado, María L ; Scheltens, Philip ; Hillebrand, Arjan ; Stam, Cornelis J ; Maestú, Fernando
  • Assuntos: Alzheimer's disease ; Biomarkers ; brain networks ; Brain research ; Cognitive ability ; Dementia ; Geriatrics ; Magnetoencephalography ; Medical screening ; mild cognitive impairment ; minimum spanning tree ; Neural networks ; Neuroscience ; Neurosciences ; NMR ; Nuclear magnetic resonance ; phase lag index ; Time series
  • É parte de: Frontiers in aging neuroscience, 2017-04, Vol.9, p.107-107
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Edited by: Christos Frantzidis, Aristotle University of Thessaloniki, Greece
    Reviewed by: Chunbo Li, Shanghai Jiao Tong University, China; Manousos A. Klados, Max Planck Institute for Human Cognitive and Brain Sciences (MPG), Germany; Xu Lei, Southwest University, China
    These authors have contributed equally to this work.
  • Descrição: Subjects with mild cognitive impairment (MCI) have an increased risk of developing Alzheimer's disease (AD), and their functional brain networks are presumably already altered. To test this hypothesis, we compared magnetoencephalography (MEG) eyes-closed resting-state recordings from 29 MCI subjects and 29 healthy elderly subjects in the present exploratory study. Functional connectivity in different frequency bands was assessed with the phase lag index (PLI) in source space. Normalized weighted clustering coefficient (normalized Cw) and path length (normalized Lw), as well as network measures derived from the minimum spanning tree [MST; i.e., betweenness centrality (BC) and node degree], were calculated. First, we found altered PLI values in the lower and upper alpha bands in MCI patients compared to controls. Thereafter, we explored network differences in these frequency bands. Normalized Cw and Lw did not differ between the groups, whereas BC and node degree of the MST differed, although these differences did not survive correction for multiple testing using the False Discovery Rate (FDR). As an exploratory study, we may conclude that: (1) the increases and decreases observed in PLI values in lower and upper alpha bands in MCI patients may be interpreted as a dual pattern of disconnection and aberrant functioning; (2) network measures are in line with connectivity findings, indicating a lower efficiency of the brain networks in MCI patients; (3) the MST centrality measures are more sensitive to detect subtle differences in the functional brain networks in MCI than traditional graph theoretical metrics.
  • Editor: Switzerland: Frontiers Research Foundation
  • Idioma: Inglês
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