Document Detail


Quantifying time-varying multiunit neural activity using entropy based measures.
MedLine Citation:
PMID:  20460201     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Modern micro-electrode arrays make it possible to simultaneously record population neural activity. However, methods to analyze multiunit activity (MUA), which reflects the aggregate spiking activity of a population of neurons, have remained underdeveloped in comparison to those used for studying single unit activity (SUA). In scenarios where SUA is hard to record and maintain or is not representative of brains response, MUA is informative in deciphering the brains complex time-varying response to stimuli or to clinical insults. Here, we present two quantitative methods of analysis of the time-varying dynamics of MUA without spike detection. These methods are based on the multiresolution discrete wavelet transform (DWT) of an envelope of MUA followed by information theoretic measures: multiresolution entropy (MRE) and the multiresolution Kullback-Leibler distance (MRKLD). We test the proposed quantifiers on both simulated and experimental MUA recorded from rodent cortex in an experimental model of global hypoxic-ischemic brain injury. First, our results validate the use of the envelope of MUA as an alternative to detecting and analyzing transient and complex spike activity. Second, the MRE and MRKLD are shown to respond to dynamic changes due to the brains response to global injury and to identify the transient changes in the MUA.
Authors:
Young-Seok Choi; Matthew A Koenig; Xiaofeng Jia; Nitish V Thakor
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2010-05-10
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2013-09-05     Completed Date:  2014-09-02     Revised Date:  2014-09-18    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  -     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Animals
Brain / physiopathology
Computer Simulation
Electroencephalography / methods*
Entropy
Hypoxia-Ischemia, Brain / physiopathology
Male
Models, Neurological*
Rats
Rats, Wistar
Signal Processing, Computer-Assisted*
Statistics, Nonparametric
Grant Support
ID/Acronym/Agency:
R01 HL071568/HL/NHLBI NIH HHS; R01 HL071568/HL/NHLBI NIH HHS; R01 HL071568-08/HL/NHLBI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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