A principal components-based method for the detection of neuronal activity maps: Application to optical imaging Journal Article


Authors: Gabbay, M.; Brennan, C.; Kaplan, E.; Sirovich, L.
Article Title: A principal components-based method for the detection of neuronal activity maps: Application to optical imaging
Abstract: We present a novel analysis technique for the extraction of neuronal activity patterns from functional imaging data. We illustrate this technique on data from optical imaging. Optical imaging of the mammalian visual cortex probe the patterns in which the neuronal responses to various aspects of the visual world, such as orientation and color, are spatially organized within the cortex. Recovering these patterns from the image data is a challenging problem as tile neuronal response signal is extremely weak in comparison to the background vegetative processes (e.g., circulation and respiration). The proposed technique obtains the neuronal activity pattern using a combination of principal component analysis and statistical significance testing. The performance of this method is compared with the results of existing analysis techniques. The comparison shows the new method to be more sensitive than previous methods. (C) 2000 Academic Press.
Keywords: nuclear magnetic resonance imaging; animals; analytic method; neurons; computer simulation; brain mapping; image processing, computer-assisted; pattern recognition, visual; functional imaging; principal component analysis; optical imaging; dominance, cerebral; visual cortex; visual pathways; nerve conduction; automatic data processing; visual perception; priority journal; article; color perception; psychophysics
Journal Title: NeuroImage
Volume: 11
Issue: 4
ISSN: 1053-8119
Publisher: Elsevier Science, Inc.  
Date Published: 2000-04-01
Start Page: 313
End Page: 325
Language: English
DOI: 10.1006/nimg.2000.0547
PUBMED: 10725187
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 18 November 2015 -- Source: Scopus
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  1. Cameron Brennan
    226 Brennan