| Time-frequency characterization of electrocorticographic recordings of epileptic patients using frequency-entropy similarity: a comparison to other bi-variate measures. | |
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MedLine Citation:
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PMID: 20969891 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Expert evaluation of electrocorticographic (ECoG) recordings forms the linchpin of seizure onset zone localization in the evaluation of epileptic patients for surgical resection. Numerous methods have been developed to analyze these complex recordings, including uni-variate (characterizing single channels), bi-variate (comparing channel pairs) and multivariate measures. Developing reliable algorithms may be helpful in clinical tasks such as localization of epileptogenic zones and seizure anticipation, as well as enabling better understanding of neuronal function and dynamics. Recently we have developed the frequency-entropy (F-E) similarity measure, and have tested its capability in mapping the epileptogenic zones. The F-E similarity measure compares time-frequency characterizations of two recordings. In this study, we examine the method's principles and utility and compare it to previously described bi-variate correspondence measures such as correlation, coherence, mean phase coherence and spectral comparison methods. Specially designed synthetic signals were used for illuminating theoretical differences between the measures. Intracranial recordings of four epileptic patients were then used for the measures' comparative analysis by creating a mean inter-electrode matrix for each of the correspondence measures and comparing the structure of these matrices during the inter-ictal and ictal periods. We found that the F-E similarity measure is able to discover spectral and temporal features in data which are hidden for the other measures and are important for foci localization. |
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Authors:
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T Gazit; I Doron; O Sagher; M H Kohrman; V L Towle; M Teicher; E Ben-Jacob |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't Date: 2010-10-20 |
Journal Detail:
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Title: Journal of neuroscience methods Volume: 194 ISSN: 1872-678X ISO Abbreviation: J. Neurosci. Methods Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2010-12-27 Completed Date: 2011-04-22 Revised Date: 2012-01-17 |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 358-73 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier B.V. All rights reserved. |
Affiliation:
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The Leslie and Suzan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan 52900, Israel. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Algorithms Brain / physiopathology* Brain Mapping* Child Electroencephalography / methods Entropy* Epilepsy / pathology*, physiopathology* Female Humans Male Models, Neurological Nonlinear Dynamics Signal Processing, Computer-Assisted Time Factors Young Adult |
| Grant Support | |
ID/Acronym/Agency:
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5 R01 NS40514/NS/NINDS NIH HHS; R01 NS040514-01A1/NS/NINDS NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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