Literature DB >> 30699229

Recurrence quantification analysis of eye movements during mental imagery.

Lilla M Gurtner1, Walter F Bischof2, Fred W Mast1.   

Abstract

Several studies demonstrated similarities of eye fixations during mental imagery and visual perception but-to our knowledge-the temporal characteristics of eye movements during imagery have not yet been considered in detail. To fill this gap, the same data is analyzed with conventional spatial techniques such as analysis of areas of interest (AOI), ScanMatch, and MultiMatch and with recurrence quantification analysis (RQA), a new way of analyzing gaze data by tracking re-fixations and their temporal dynamics. Participants viewed and afterwards imagined three different kinds of pictures (art, faces, and landscapes) while their eye movements were recorded. While fixation locations during imagery were related to those during perception, participants returned more often to areas they had previously looked at during imagery and their scan paths were more clustered and more repetitive when compared to visual perception. Furthermore, refixations of the same area occurred sooner after initial fixation during mental imagery. The results highlight not only content-driven spatial similarities between imagery and perception but also shed light on the processes of mental imagery maintenance and interindividual differences in these processes.

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Year:  2019        PMID: 30699229     DOI: 10.1167/19.1.17

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  3 in total

1.  Nonlinear Analysis of Eye-Tracking Information for Motor Imagery Assessments.

Authors:  Antonio Lanata; Laura Sebastiani; Francesco Di Gruttola; Stefano Di Modica; Enzo Pasquale Scilingo; Alberto Greco
Journal:  Front Neurosci       Date:  2020-01-15       Impact factor: 4.677

2.  Imagery-related eye movements in 3D space depend on individual differences in visual object imagery.

Authors:  Sandra Chiquet; Corinna S Martarelli; Fred W Mast
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

3.  A consensus-based elastic matching algorithm for mapping recall fixations onto encoding fixations in the looking-at-nothing paradigm.

Authors:  Xi Wang; Kenneth Holmqvist; Marc Alexa
Journal:  Behav Res Methods       Date:  2021-03-22
  3 in total

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