Functional network analysis reveals differences in the semantic priming task
-
1
Humboldt University, Department of Physics, Germany
-
2
Bernstein Center for Computational Neuroscience, Germany
-
3
Humboldt University, Department of Psychology, Germany
-
4
Potsdam Institute for Climate Impact Research, Transdisciplinary Concepts & Methods, Germany
The recent years have seen the emergence of graph theoretical analysis of complex, functional brain networks estimated from neurophysiological measurements. The research has mainly focused on the graph characterization of the resting-state/default network, and its potential for clinical application. Functional resting-state networks usually display the characteristics of small-world networks and their statistical properties have been observed to change due to pathological conditions or aging.
In the present paper we move forward in the application of graph theoretical tools in functional connec- tivity by investigating high-level cognitive processing in healthy adults, in a manner similar to that used in psychological research in the framework of event-related potentials (ERPs). More specifically we aim at investigating how graph theoretical approaches can help to discover systematic and task-dependent differences in high-level cognitive processes such as language perception. We will show that such an approach is feasible and that the results coincide well with the findings from neuroimaging studies.
Keywords:
Functional Networks,
N400,
semantic priming
Conference:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011.
Presentation Type:
Poster
Topic:
neurons, networks and dynamical systems (please use "neurons, networks and dynamical systems" as keywords)
Citation:
Schinkel
S,
Zamora-López
G,
Dimigen
O,
Sommer
W and
Kurths
J
(2011). Functional network analysis reveals differences in the semantic priming task.
Front. Comput. Neurosci.
Conference Abstract:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011.
doi: 10.3389/conf.fncom.2011.53.00195
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:
19 Aug 2011;
Published Online:
04 Oct 2011.
*
Correspondence:
Dr. Stefan Schinkel, Humboldt University, Department of Physics, Berlin, Germany, schinkel@physik.hu-berlin.de