• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UVaDOCCommunitiesBy Issue DateAuthorsSubjectsTitles

    My Account

    Login

    Statistics

    View Usage Statistics

    Share

    View Item 
    •   UVaDOC Home
    • SCIENTIFIC PRODUCTION
    • Grupos de Investigación
    • Grupo de Ingeniería Biomédica
    • GIB - Artículos de revista
    • View Item
    •   UVaDOC Home
    • SCIENTIFIC PRODUCTION
    • Grupos de Investigación
    • Grupo de Ingeniería Biomédica
    • GIB - Artículos de revista
    • View Item
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Export

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/62563

    Título
    Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease
    Autor
    Rodríguez González, VíctorAutoridad UVA
    Núñez Novo, PabloAutoridad UVA
    Gómez Peña, CarlosAutoridad UVA Orcid
    Hoshi, Hideyuki
    Shigihara, Yoshihito
    Hornero Sánchez, RobertoAutoridad UVA Orcid
    Poza Crespo, JesúsAutoridad UVA Orcid
    Año del Documento
    2024
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Biomedical Signal Processing and Control, 2024, vol. 87, Part A, 105512
    Abstract
    Mild cognitive impairment (MCI) and dementia due to Alzheimer’s disease (AD) are neurological disorders that affect cognition, brain function, and memory. Magnetoencephalography (MEG) is a neuroimaging technique used to study changes in brain oscillations caused by neural pathologies. However, MEG studies often use fixed frequency bands, assuming a common frequency structure and overlooking both subject-specific variations and the potential influence of pathologies on frequency distribution. To address this issue, a novel methodology called Connectivity-based Meta-Bands (CMB) was applied to obtain a subject-specific functional connectivity-based frequency bands segmentation. Resting-state MEG activity was acquired from 161 participants: 67 healthy controls, 44 MCI patients, and 50 AD patients. The CMB algorithm was used to identify “meta-bands” (i.e., recurrent network topologies across frequencies). The meta-bands were used to extract an individualised frequency band segmentation. The network topology of the meta-bands and their sequencing were analysed to identify alterations associated with MCI and AD in the underlying frequency-dependent connectivity structure. We found that MCI and AD alter the neural network topology, leading to connectivity patterns both more widespread in the frequency spectrum and heterogeneous. Furthermore, the meta-band frequency sequencing was modified, with MCI and AD patients exhibiting sequences with increased complexity, suggesting a progressive dilution of the frequency structure. The study highlights the relevance of considering the impact of neural pathologies on the frequency-dependent connectivity structure and the potential bias introduced by using fixed frequency bands in MEG studies.
    Materias (normalizadas)
    Neurology
    Alzheimer
    Materias Unesco
    3205.07 Neurología
    Palabras Clave
    Connectivity-based Meta-Bands (CMB)
    Connectivity
    Alzheimer’s disease (AD)
    Metabandas basadas en conectividad (CMB)
    Conectividad
    Enfermedad de Alzheimer (EA)
    ISSN
    1746-8094
    Revisión por pares
    SI
    DOI
    10.1016/j.bspc.2023.105512
    Patrocinador
    Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)’ through ‘Instituto de Salud Carlos III’- FEDER
    ERA-Net FLAG-ERA JTC2021 project ModelDXConsciousness (Human Brain Project Partnering Project)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S174680942300945X?via%3Dihub
    Propietario de los Derechos
    © 2023 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/62563
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Collections
    • GIB - Artículos de revista [36]
    Show full item record
    Files in this item
    Nombre:
    Unveiling-the-alterations-in-the-frequency.pdf
    Tamaño:
    2.299Mb
    Formato:
    Adobe PDF
    Thumbnail
    FilesOpen
    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10