scholarly journals Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data

2020 ◽  
Vol 42 (1) ◽  
pp. 5-13
Author(s):  
Andrew E. Silva ◽  
Benjamin Thompson ◽  
Zili Liu
Keyword(s):  
Visual Cortex ◽  
Pattern Analysis ◽  
Fmri Data ◽  
Multivariate Pattern Analysis ◽  
Multivariate Pattern

scholarly journals PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data

2009 ◽  
Vol 7 (1) ◽  
pp. 37-53 ◽  
Author(s):  
Michael Hanke ◽  
Yaroslav O. Halchenko ◽  
Per B. Sederberg ◽  
Stephen José Hanson ◽  
James V. Haxby ◽  
...  
Keyword(s):  
Pattern Analysis ◽  
Fmri Data ◽  
Multivariate Pattern Analysis ◽  
Multivariate Pattern

scholarly journals Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data

2020 ◽  
Author(s):  
Andrew E. Silva ◽  
Benjamin Thompson ◽  
Zili Liu
Keyword(s):  
Visual Cortex ◽  
Visual Processing ◽  
Pattern Analysis ◽  
Flicker Noise ◽  
Univariate Analysis ◽  
Motion Processing ◽  
List Type ◽  
Multivariate Pattern Analysis ◽  
Motion Energy ◽  
Multivariate Pattern

AbstractThis study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy which is processed by low-level motion detectors. Models of motion processing propose a mechanism called motion opponency that reduces the processing of flicker noise. Motion opponency involves the pooling of local motion signals to calculate an overall motion direction. A neural correlate of motion opponency has been observed in human area MT+/V5 using fMRI, whereby stimuli with perfectly balanced motion energy constructed from dots moving in counter-phase elicit a weaker BOLD response than non-balanced (in-phase) motion stimuli. Building on this previous work, we used multivariate pattern analysis to examine whether the patterns of brain activation elicited by motion opponent stimuli resemble the activation elicited by flicker noise across the human visual cortex. Robust multivariate signatures of opponency were observed in V5 and in V3A. Our results support the notion that V5 is centrally involved in motion opponency and in the reduction of flicker noise during visual processing. Furthermore, these results demonstrate the utility of powerful multivariate analysis methods in revealing the role of additional visual areas, such as V3A, in opponency and in motion processing more generally.HighlightsOpponency is demonstrated in multivariate and univariate analysis of V5 data.Multivariate fMRI also implicates V3A in motion opponency.Multivariate analyses are useful for examining opponency throughout visual cortex.

scholarly journals Assessing neural tuning for object perception in schizophrenia and bipolar disorder with multivariate pattern analysis of fMRI data

2017 ◽  
Vol 16 ◽  
pp. 491-497 ◽  
Author(s):  
Eric A. Reavis ◽  
Junghee Lee ◽  
Jonathan K. Wynn ◽  
Stephen A. Engel ◽  
Mark S. Cohen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Pattern Analysis ◽  
Object Perception ◽  
Fmri Data ◽  
Multivariate Pattern Analysis ◽  
Multivariate Pattern
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