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Mental visual imagery – can a language encoded object generate depictive imagery?

Mental visual imagery – can a language encoded object generate depictive imagery?. Igor Bascandziev Harvard Graduate School of Education. Presentation overview. Introduction An overview of the debate What has been found so far Open questions and motivation

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Mental visual imagery – can a language encoded object generate depictive imagery?

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  1. Mental visual imagery – can a language encoded object generate depictive imagery? Igor Bascandziev Harvard Graduate School of Education

  2. Presentation overview • Introduction • An overview of the debate • What has been found so far • Open questions and motivation • Experiment proposal (research question, design, tasks, anticipated findings) • Limitations

  3. Introduction • History (philosophy, cognitive psychology, advent of neuroimaging studies) • The debate – is the visual mental imagery different from the rest of general reasoning? • Zenon Pylyshyn – “same forms of representation as are involved in general reasoning” • Stephen Kosslyn – the mental imagery is not describing the objects, but it depicts objects

  4. The depictive nature • The early visual area is topographic, depictive, and functionally activated during perception • If the very same region is functionally engaged during visual imagery, then that should serve as evidence that the visual mental imagery is depictive

  5. What has been found • Many studies showed activations in the early visual area during mental imagery • But many studies did not replicate this finding • It’s more complicated than just having any task of mental imagery

  6. What has been found – short summary • Activation if object imagery, deactivation if spatial imagery • More likely to find activation if - the task asks for high resolution object detail - if there is an image suppression - if the imaging is conducted with a powerful fMRI (e.g. 4T)

  7. What has been found • Neuropsychological evidence that damage in the early visual cortex influences mental imagery • TMS studies showing that temporary disruptions of the early visual cortex cause deficit in the ability to generate mental image • Behavioral studies combined with imaging studies – negative correlation between activation and response time

  8. Open questions and implications • If we assume that the visual mental imagery is depictive, then interesting question would be: Whether there is a difference between objects encoded through perception and objects encoded through language?

  9. Open questions and implications • It will show whether an object encoded only through language hinges upon the depictive visual imagery • It will suggest that the depictive visual imagery could be strongly influenced by a top down processes

  10. Experiment proposal - RQ Is there a difference between the mental imagery of an object encoded through perception and the mental imagery of an object encoded through language?

  11. Experiment proposal – design and tasks • Target sample size n=10 • Event related design • Before the scanning • Test to check subjects’ knowledge about animals • Learning period – each subject will learn about visual characteristics of non-existing made-up animals. At the end of the learning, test to check subjects’ knowledge of the made-up animals

  12. Experiment proposal – design and tasks • Two conditions (real animal and made-up animal) • The procedure will be similar to the one in Klein et al. (2000). Source: Klein et al. (2000)

  13. Experiment proposal – anticipated findings • There will be activation of the early visual area in both conditions • The familiarity with the object will be positively correlated with activations • The familiarity with the object will be positively correlated with the number of correct answers and negatively correlated with the response times

  14. Experiment proposal – anticipated findings • As an example, I present Klein et al. (2000) finding

  15. Limitations • Difficult to control the familiarity factor • Are the objects really encoded by language, or the subjects just combine previously perceived parts of animals

  16. References • DEsposito, M., Detre, J. A., Aguirre, G. K., Stallcup, M., Alsop, D. C., & Tippet, L. J., et al. (1997). A functional MRI study of mental image generation. Neuropsychologia, 35(5), 725-730. • Ishai, A., Haxby, J. V., & Ungerleider, L. G. (2002). Visual imagery of famous faces: Effects of memory and attention revealed by fMRI. NeuroImage, 17(4), 1729-1741. • Klein, I., Paradis, A. L., Poline, J. B., Kosslyn, S. M., & Le Bihan, D. (2000). Transient activity in the human calcarine cortex during visual-mental imagery: An event-related fMRI study. Journal of Cognitive Neuroscience, 12, 15-23. • Kosslyn, S. M. (2005). Mental images and the brain. Cognitive Neuropsychology, 22(3-4), 333-347. • Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635-642. • Kosslyn, S. M., & Thompson, W. L. (2003). When is early visual cortex activated during visual mental imagery? Psychological Bulletin, 129(5), 723-746. • Mazard, A., Mazoyer, B., Etard, O., Tzourio-Mazoyer, N., Kosslyn, S. M., & Mellet, E. (2002). Impact of fMRI acoustic noise on the functional anatomy of visual mental imagery. Journal of Cognitive Neuroscience, 14(2), 172-186. • Mazard, A., Tzourio-Mazoyer, N., Crivello, F., Mazoyer, B., & Mellet, E. (2004). A PET meta-analysis of object and spatial mental imagery. European Journal of Cognitive Psychology, 16(5), 673-695. • Mellet, E., Tzourio-Mazoyer, N., Bricogne, S., Mazoyer, B., Kosslyn, S. M., & Denis, M. (2000). Functional anatomy of high-resolution visual mental imagery. Journal of Cognitive Neuroscience, 12(1), 98-109. • Nowiński, W. L., Thirunavuukarasuu, A., & Kennedy, D. N. (2001). Brain atlas for functional imaging [computer file] : Clinical and research applications (Version 1.0 ed.). Stuttgart, Germany; New York: George Thieme Verlag; Thieme New York. • Pylyshyn, Z. W. (2002). Mental imagery: In search of a theory. The Behavioral and Brain Sciences, 25(2), 157-82; discussion 182-237. • Toga, A. W., & Mazziotta, J. C. (Eds.). (2000). Brain mapping : The systems. San Diego, Calif., USA: Academic Press.

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