Working memory in aging. Graph theory for a MEG-DTI study

Abstract

Event Abstract Back to Event Working memory in aging. Graph theory for a MEG-DTI study Jose Angel Pineda Pardo1*, Julia Guiomar Niso Galán1, Ricardo Gutierrez Díez1, Elena Solesio1, Fernando Maestú Unturbe1, 2 and Francisco Del Pozo Guerrero1 1 Center for Biomedical Technology, Universidad Politécnica de Madrid, Spain 2 Dept. of Psicología Básica II, Universidad Complutense de Madrid, Spain The study of age-related changes in phase synchronization on MEG recordings of a visual-auditory delayed match-to-sample task with interference provides interesting clues of how memory-related brain connectivity patterns arise and how they are sustained during the presentation of interfering information. In this work we integrated the synchronization analysis with the fractional anisotropy images using graph theory. Participants: twelve elderly healthy participants. Task: visual-auditory delayed match-to-sample task in two conditions: active and passive interference for MEG data. Additionally, a MR-DWI was acquired for each subject. The study is focused on the comparison of the 500ms prior to the interference and the 500ms after the 3 seconds-interference ends. Synchronization analysis. Phase Locking Values were computed for 50ms-time windows in the different frequency bands with the MEG data. A cluster-based permutation test based was performed. Complex network analysis: based on the synchronization values, graph theory parameters, such as mean shortest path, node outreach or network modularity, were obtained to characterize the functional brain networks involved. Multiple regression analysis: the previous results were correlated with participants’ fractional anisotropy images. We expect to observe significant differences between active and passive condition, which should be present not only in the synchronization analysis, but also reflected in the graph analysis results and correlated with the MRI-DWI in specific brain regions. Conclusions: MEG synchronization analysis combined with MRI-DWI offers multimodal information able to characterize brain networks underlying human cognition during the performance of a concrete task. Keywords: Aging, MEG Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Poster Presentation Topic: Poster Sessions: Cognitive Aging Citation: Pineda Pardo J, Niso Galán J, Gutierrez Díez R, Solesio E, Maestú Unturbe F and Del Pozo Guerrero F (2011). Working memory in aging. Graph theory for a MEG-DTI study. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00608 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 15 Nov 2011; Published Online: 28 Nov 2011. * Correspondence: Dr. Jose Angel Pineda Pardo, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain, jappxiclana85@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jose Angel Pineda Pardo Julia Guiomar Niso Galán Ricardo Gutierrez Díez Elena Solesio Fernando Maestú Unturbe Francisco Del Pozo Guerrero Google Jose Angel Pineda Pardo Julia Guiomar Niso Galán Ricardo Gutierrez Díez Elena Solesio Fernando Maestú Unturbe Francisco Del Pozo Guerrero Google Scholar Jose Angel Pineda Pardo Julia Guiomar Niso Galán Ricardo Gutierrez Díez Elena Solesio Fernando Maestú Unturbe Francisco Del Pozo Guerrero PubMed Jose Angel Pineda Pardo Julia Guiomar Niso Galán Ricardo Gutierrez Díez Elena Solesio Fernando Maestú Unturbe Francisco Del Pozo Guerrero Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.