Volume 2 Number 4 (Jul. 2012)
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IJBBB 2012 Vol.2(4): 275-279 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2012.V2.115

Intracranial EEG Connectivity Analysis and Result Imaging

Petr Klimeš, Jiří Janeček, Pavel Jurák, Josef Halámek, Jan Chládek, and Milan Brázdil

Abstract—We are presenting a method for analyzing signals from deep brain structures, measured by intracranial electrodes, to reveal connectivity in the human brain. Time evaluation of the correlation technique is applied for every available contact pair to determine dependencies between EEG channels. This produces a large amount of results that are not easy to interpret. Here we introduce a procedure for complex and comprehensive result imaging which helps us focus on significant parts of the results. Changes of power are examined along with correlation changes. Results are demonstrated for one subject. Five channels were selected from the hippocampus for detailed analysis. How the changes of correlation are connected to changes of power is shown in addition to the coupling between channels.

Index Terms—Connectivity, correlation, intracranial EEG, signal processing.

Petr Klimeš, Jiří Janeček, Pavel Jurák, Josef Halámek, and Jan Chládek are with the Institute of Scientific Instruments, Academy of Sciences of the Czech Republic, Brno, Czech Republic.
Milan Brázdil was with the Behavioural and Social Neuroscience Research Group, CEITEC – Central European Institute of Technology, Masaryk University, Brno, Czech Republic. Now he is with the Brno Epilepsy Center, Department of Neurology, St. Anne’s University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic.

Cite: Petr Klimeš, Jiří Janeček, Pavel Jurák, Josef Halámek, Jan Chládek, and Milan Brázdil, "Intracranial EEG Connectivity Analysis and Result Imaging," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 2, no. 4, pp. 275-279, 2012.

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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