DocumentCode :
2923553
Title :
Graph analysis of neuronal interactions for the error-related negativity
Author :
Bolaños, Marcos E. ; Bernat, Edward M. ; Aviyente, Selin
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
2794
Lastpage :
2797
Abstract :
The brain is a biological system with dynamic interactions between its sub-systems. The complexity of this system poses a challenge for identifying functional networks underlying observed neural activity. Current imaging approaches index local neural activity very well, but there is an increasing need for methods that quantify the interaction between regional activations. In this paper, we focus on inferring the functional connectivity of the brain based on electroencephalography (EEG) data. The interactions between the different neuronal populations are quantified through a dynamic measure of phase synchrony which is used to form sparsely connected networks that can be evaluated using measures of graph theory. These measures are applied to an EEG study containing the error-related negativity (ERN), a brain potential response that indexes endogenous action monitoring, to determine the organization of the brain during a decision making task and determine the differences between Error and Correct responses from subjects grouped according to an Externalizing Inventory. Results conclude weighted clustering coefficient and binary path length measures demonstrate significant differences between error low externalizers with all other response/externalizer types (error/high, correct/low, and correct/high).
Keywords :
brain models; electroencephalography; graph theory; neural nets; neurophysiology; EEG data; ERN; brain functional connectivity; brain organization; brain potential response; decision making task; dynamic interactions; electroencephalography data; endogenous action monitoring; error-related negativity; externalizing inventory; functional networks; graph theory measures; neural regional activations; neuronal interaction graph analysis; phase synchrony; response-externalizer types; sparsely connected networks; Argon; Electroencephalography; Kernel; Measurement uncertainty; Phase measurement; Psychology; Time frequency analysis; Adult; Algorithms; Brain; Brain Mapping; Cluster Analysis; Electroencephalography; Female; Humans; Male; Models, Neurological; Models, Statistical; Neurons; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626367
Filename :
5626367
Link To Document :
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