Behavioral and physiological findings of global-local mental rotation

Xiang Qiu, Yiyuan Tang, Xiaolan Fu, Danni Sui, Yong Niu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study was aimed to explore the cognitive mechanism of global advantage on mental rotation. Using event-related potential and divided-attention paradigm of compound stimuli, we observed that subjects' response to global rotation was faster than their response to local rotation, and the parietal P300 amplitude was inversely related to the character orientation. What's more, the local rotation task delayed the onset of the mental-rotation-related negativity at frontal and parietal electrodes. None clear effect was found for occipital N150. These findings suggest mental rotation of the global level occurs earlier than processing of the local one and further provide convergent evidence for our previous finding using a focused-attention paradigm.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Pages69-73
Number of pages5
StatePublished - 2012
Event2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 - Las Vegas, NV, United States
Duration: Jul 16 2012Jul 19 2012

Publication series

NameProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Volume1

Conference

Conference2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
CountryUnited States
CityLas Vegas, NV
Period07/16/1207/19/12

Keywords

  • Compound stimuli
  • Event-related potentials
  • Global advantage
  • Mental rotation

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  • Cite this

    Qiu, X., Tang, Y., Fu, X., Sui, D., & Niu, Y. (2012). Behavioral and physiological findings of global-local mental rotation. In Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 (pp. 69-73). (Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012; Vol. 1).