Evaluating the effect of aging on interference resolution with time-varying complex networks analysis

In this study we used graph theory analysis to investigate age-related reorganization of functional networks during the active maintenance of information that is interrupted by external interference. Additionally, we sought to investigate network differences before and after averaging network parame...

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Autores:
Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/21438
Acceso en línea:
https://doi.org/10.3389/fnhum.2015.00255
https://repository.urosario.edu.co/handle/10336/21438
Palabra clave:
Función del cerebro
Función del sistema nervioso central
Estudio controlado
Sincronización cortical
Promoción de salud
Complex networks of the brain
Brain function
Central nervous system function
Controlled study
Cortical synchronization
Envejecimiento
Cerebro
Sistema nervioso central
Rights
License
Abierto (Texto Completo)
Description
Summary:In this study we used graph theory analysis to investigate age-related reorganization of functional networks during the active maintenance of information that is interrupted by external interference. Additionally, we sought to investigate network differences before and after averaging network parameters between both maintenance and interference windows. We compared young and older adults by measuring their magnetoencephalographic recordings during an interference-based working memory task restricted to successful recognitions. Data analysis focused on the topology/temporal evolution of functional networks during both the maintenance and interference windows. We observed that: (a) Older adults require higher synchronization between cortical brain sites in order to achieve a successful recognition, (b) The main differences between age groups arise during the interference window, (c) Older adults show reduced ability to reorganize network topology when interference is introduced, and (d) Averaging network parameters leads to a loss of sensitivity to detect age differences. © 2015 Ariza, Solesio-Jofre, Martínez, Pineda-Pardo, Niso, Maestú and Buldú.