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Face activated neurodynamic cortical networks

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Abstract

Previous neuroimaging studies have shown that complex visual stimuli, such as faces, activate multiple brain regions, yet little is known on the dynamics and complexity of the activated cortical networks during the entire measurable evoked response. In this study, we used simulated and face-evoked empirical MEG data from an oddball study to investigate the feasibility of accurate, efficient, and reliable spatio-temporal tracking of cortical pathways over prolonged time intervals. We applied a data-driven, semiautomated approach to spatio-temporal source localization with no prior assumptions on active cortical regions to explore non-invasively face-processing dynamics and their modulation by task. Simulations demonstrated that the use of multi-start downhill simplex and data-driven selections of time intervals submitted to the Calibrated Start Spatio-Temporal (CSST) algorithm resulted in improved accuracy of the source localization and the estimation of the onset of their activity. Locations and dynamics of the identified sources indicated a distributed cortical network involved in face processing whose complexity was task dependent. This MEG study provided the first non-invasive demonstration, agreeing with intracranial recordings, of an early onset of the activity in the fusiform face gyrus (FFG), and that frontal activation preceded parietal for responses elicited by target faces.

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Acknowledgments

This study was supported by the Croatian Ministry of Science, Education, and Sport (grant 199-1081870-1252), National Foundation for Science, Higher Education and Technological Development of the Republic of Croatia, and the Centre for International Mobility, Finland. We thank Jussi Nurminen and Milan Rados for their assistance.

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Authors and Affiliations

  1. Department of Physics, Faculty of Science, University of Zagreb, Bijenicka c. 32, 10000, Zagreb, Croatia

    Ana Susac & Selma Supek

  2. Department of Biomedical Engineering and Computational Science, Aalto University, P.O. Box 12200, FI-00076, Aalto, Espoo, Finland

    Risto J. Ilmoniemi

  3. BioMag Laboratory, HUSLAB, Helsinki University Central Hospital, P.O. Box 340, FI-00029, HUS, Helsinki, Finland

    Risto J. Ilmoniemi

  4. Los Alamos National Laboratory, Los Alamos, NM, 87545, USA

    Doug Ranken

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  1. Ana Susac
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Correspondence to Ana Susac.

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Susac, A., Ilmoniemi, R.J., Ranken, D. et al. Face activated neurodynamic cortical networks. Med Biol Eng Comput 49, 531–543 (2011). https://doi.org/10.1007/s11517-011-0740-4

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