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  Establishing and validating a new source analysis method using phase

Chirumamilla, V. C., Gonzalez-Escamilla, G., Kumar, S., Longfei, X., Groppa, S., & Muthuraman, M. (2017). Establishing and validating a new source analysis method using phase. In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2778-2781). doi:10.1109/EMBC.2017.8037433.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-25C8-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-25C9-E
Genre: Conference Paper

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 Creators:
Chirumamilla, V. C.1, Author
Gonzalez-Escamilla, G.1, Author
Kumar, Saurabh2, Author              
Longfei, X.3, Author
Groppa, S.1, Author
Muthuraman, M.1, Author
Affiliations:
1Department of Neurology, University Medical Center Mainz, Germany, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Faculty of Engineering, Christian Albrecht University Kiel, Germany, ou_persistent22              

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Free keywords: Brain modeling; Electroencephalography; Epilepsy; Frequency estimation; Head; Signal to noise ratio; Surgery
 Abstract: Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization of deep brain generators of the electric fields is essential for understanding neuronal function in healthy humans and for damasking specific regions that cause abnormal activity in patients with neurological disorders. The aim of this study was to test whether the phase estimation from scalp data can be reliably used to identify the number of dipoles in source analyses. The steps performed included: i) modeling different phasic oscillatory signals using auto-regressive processes at a particular frequency, ii) simulation of two different noises, namely white and colored noise, having different signal-to-noise ratios, iii) simulation of dipoles at different areas in the brain and iv) estimation of the number of dipoles by calculating the phase differences of the simulated signals. Moreover we applied this method of source analysis on real data from temporal lobe epilepsy (TLE) patients. The analytical framework was successful in identifying the sources and their orientations in the simulated data and identified the epileptogenic area in the studied patients which was confirmed by pathological studies after TLE surgery.

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Language(s): eng - English
 Dates: 2017-09-14
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/EMBC.2017.8037433
 Degree: -

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Title: Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Source Genre: Proceedings
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2778 - 2781 Identifier: -