Evaluating the effect of aging on interference resolution with time-varying complex networks analysis
Entity
UAM. Departamento de Psicología BásicaPublisher
Frontiers Research FoundationDate
2015-05-12Citation
10.3389/fnhum.2015.00255
Frontiers in Human Neuroscience 9 (2015): 255
ISSN
1662-5161 (online)DOI
10.3389/fnhum.2015.00255Funded by
This work has been supported by the Spanish MINECO under project [FIS2013-41057], as well as Fundación Carolina Doctoral Scholarship Program and Colciencias Doctoral Program 568Project
Gobierno de España. FIS2013-41057Subjects
Aging effects; Complex networks of the brain; Functional networks; Magnetoencephalography (MEG); Synchronization; Medicina; PsicologíaRights
© 2015 Ariza, Solesio-Jofre, Martínez, Pineda-Pardo, Niso, Maestú and BuldúAbstract
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
Files in this item
Google Scholar:Ariza, Pedro
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Solesio Jofré de Villegas, Elena
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H. Martínez, Johann
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Pineda Pardo, José A.
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Guiomar, Niso
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Maestú, Fernando
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M. Buldú, Javier
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