摘要
Event Abstract Back to Event Temporal-frontal network underlying pre-attentive change detection: A lagged correlation path model of the event-related optical signal (EROS) Chun Y. Tse1*, E. K. Ng2, T. Rinne3 and T. B. Penney2 1 University of Illinois at Urbana Champaign, United States 2 National University of Singapore, Singapore 3 University of Helsinki, Finland Event-related potential (ERP), magnetic encephalogram (MEG), and functional magnetic resonance imaging (fMRI) studies suggest that a temporal-frontal network is involved in pre-attentive change detection. The event-related optical signal (EROS) is an excellent tool to study the temporal dynamics of this putative network because it provides measures of neural activity with high temporal (milliseconds) and spatial (millimeters) resolution. In our previous EROS experiments, which used mean amplitude measures of the optical signal across participants, we consistently found a sequence of temporal and frontal cortex activations. However, we could not unequivocally conclude that the activation pattern was a consequence of temporal cortex activity preceding frontal cortex activity in all participants. In the present study, we applied a lagged correlation path model (a type of dynamic structural equation model - SEM) to study the correlation of temporal and frontal activations across time in the EROS data. The data was obtained in a typical MMN paradigm. Standard sounds (75 ms in duration) and infrequent deviant sounds (4% each; 15 ms - large deviant, 25 ms - medium deviant, and 35 ms - small deviant) were presented via headphones while the participants (N = 32) watched a video. Statistical brain maps of EROS results suggested temporal-frontal, frontal-temporal-frontal, and temporal-frontal activation sequences in large, medium, and small deviant conditions, respectively. Further analysis by lagged correlation path modeling revealed that the sequential activation patterns were found reliably across participants. The present results suggest that the activation of the temporal-frontal network is dynamically modulated depending on the magnitude of the sound change. Conference: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications, Budapest, Hungary, 4 Apr - 7 Apr, 2009. Presentation Type: Poster Presentation Topic: Poster Presentations Citation: Tse CY, Ng EK, Rinne T and Penney TB (2009). Temporal-frontal network underlying pre-attentive change detection: A lagged correlation path model of the event-related optical signal (EROS). Conference Abstract: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. doi: 10.3389/conf.neuro.09.2009.05.097 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: 26 Mar 2009; Published Online: 26 Mar 2009. * Correspondence: Chun Y Tse, University of Illinois at Urbana Champaign, Urbana, United States, ctse2@uiuc.edu 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 Chun Y Tse E. K Ng T. Rinne T. B Penney Google Chun Y Tse E. K Ng T. Rinne T. B Penney Google Scholar Chun Y Tse E. K Ng T. Rinne T. B Penney PubMed Chun Y Tse E. K Ng T. Rinne T. B Penney 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.