scholarly journals Linear mixed-effects modeling approach to FMRI group analysis

NeuroImage ◽  
2013 ◽  
Vol 73 ◽  
pp. 176-190 ◽  
Author(s):  
Gang Chen ◽  
Ziad S. Saad ◽  
Jennifer C. Britton ◽  
Daniel S. Pine ◽  
Robert W. Cox
NeuroImage ◽  
2017 ◽  
Vol 147 ◽  
pp. 825-840 ◽  
Author(s):  
Gang Chen ◽  
Paul A. Taylor ◽  
Yong-Wook Shin ◽  
Richard C. Reynolds ◽  
Robert W. Cox

2019 ◽  
Author(s):  
Andrea Orlandi ◽  
Emily S. Cross ◽  
Guido Orgs

What constitutes a beautiful action? Research into dance aesthetics has largely focussed on subjective features like familiarity with the observed movement but has rarely studied objective features like speed or acceleration. We manipulated the kinematic complexity of observed actions, by creating dance sequences that varied in movement timing, but not in movement trajectory. Dance-naïve participants rated the dance videos on speed, effort, reproducibility, and preference. Using linear mixed-effects modeling, we show that faster movement sequences with varied velocity profiles are judged to be more effortful, less reproducible, and more aesthetically pleasing than slower sequences with uniform velocity profiles. Accordingly, dance aesthetics depend not only on which movement is being performed but on how movements are executed and linked. Accordingly, the aesthetics of movement timing may apply across culturally-specific dance styles and predict both preference for and perceived difficulty of dance, consistent with an effort heuristic account of art appreciation.


2016 ◽  
Vol 12 ◽  
pp. P356-P356
Author(s):  
Akshay Pai ◽  
Stefan Sommer ◽  
Lars Lau Raket ◽  
Lauge Sørensen ◽  
Mads Nielsen

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