UNSPECIFIED. (2005) Applications of multi-variate analysis of variance (MANOVA) to multi-electrode array electrophysiology data. JOURNAL OF NEUROSCIENCE METHODS, 146 (1). pp. 22-41. ISSN 0165-0270

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Abstract

We have developed an adaptation of multi-variate analysis of variance (MANOVA) to analyze statistically both local and global patterns of multi-electrode array (MEA) electrophysiology data where the activities of many (typically > 100) neurons have been recorded simultaneously. Whereas simple application of standard MANOVA techniques prohibits extraction of useful information in this kind of data, our new approach, MEANOVA (=MEA + MANOVA), allows a more useful and powerful approach to analyze such complex neurophysiological data. The MEANOVA test enables the detection of the "hot-spots" in the MEA data and has been validated using recordings from the rat olfactory bulb. To further validate the power of this approach, we have also applied the MEANOVA test to data obtained from a simple computational network model. This MEANOVA software and other useful statistical methods for MEA data can be downloaded from http://www.sussex.ac.uk/Users/pmh20. (c) 2004 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QD Chemistry R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Journal or Publication Title:	JOURNAL OF NEUROSCIENCE METHODS
Publisher:	ELSEVIER SCIENCE BV
ISSN:	0165-0270
Official Date:	15 July 2005
Volume:	146
Number:	1
Number of Pages:	20
Page Range:	pp. 22-41
Identification Number:	10.1016/j.jneumeth.2005.01.008
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/6923

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