Document Detail


Bimodal modulation and continuous stimulation in optical imaging to map direction selectivity.
MedLine Citation:
PMID:  19782756     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In the visual system, neurons with similar functional properties such as orientation and direction selectivity are clustered together to form modules. Optical imaging recordings in combination with episodic paradigms have been previously used to estimate direction selectivity, a fundamental property of visual neurons. The major drawback of the episodic approach is that the extraction of the signal from various forms of physiological noise is difficult, leading to a poor estimation of direction. Recent work, based on periodic stimulation and Fourier decomposition improved the extraction of periodic stimulus responses from noise and thus, reduced the recording time considerably. Given the success of this new paradigm in mapping orientation, the present study evaluated its reliability to measure direction selectivity in the visual cortex of anesthetized cats. Here, a model that exploits the harmonics of the Fourier decomposition is proposed where the first harmonic is related to direction responses, and the second to orientation. As expected, the first harmonic was absent when a static stimulus was presented. Contrarily, the first harmonic was present when moving stimuli were presented and the amplitude was greater with random dots kinematograms than with drifting gratings. The phase of the first harmonic showed a good agreement with direction preference measured by episodic paradigm. The ratio of the first/the second harmonic amplitude, related to a direction index, was weaker in fracture. It was also weaker in areas of the ventral pathway (areas 17 and 21a) where direction selectivity is known to be reduced. These results indicate that a periodic paradigm can be easily used to measure specific parameters in optical signals, particularly in situations when short acquisition periods are needed.
Authors:
M P Vanni; J Provost; C Casanova; F Lesage
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2009-09-25
Journal Detail:
Title:  NeuroImage     Volume:  49     ISSN:  1095-9572     ISO Abbreviation:  Neuroimage     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2009-12-07     Completed Date:  2010-02-12     Revised Date:  2011-08-01    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1416-31     Citation Subset:  IM    
Affiliation:
Laboratoire des Neurosciences de la Vision, Ecole d'optométrie, Université de Montréal, CP 6128, succ. Centre-ville, Montréal, Québec, Canada H3C 3J7.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Brain Mapping / methods*
Cats
Fourier Analysis
Mice
Models, Theoretical
Motion Perception / physiology*
Optics and Photonics / methods*
Photic Stimulation
Rats
Vision, Binocular / physiology
Vision, Monocular / physiology
Visual Cortex / blood supply,  physiology*
Visual Perception / physiology*
Grant Support
ID/Acronym/Agency:
R01 EY016155-01A1/EY/NEI NIH HHS; R01EY016155/EY/NEI NIH HHS
Comments/Corrections

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