Journal
BRAIN STRUCTURE & FUNCTION
Volume 226, Issue 5, Pages 1511-1531Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00429-021-02266-z
Keywords
Visual mental images; Perception; fMRI; Multivariate pattern analysis; Representation similarity analysis
Categories
Funding
- Universita degli Studi di Roma La Sapienza within the CRUI-CARE Agreement
- Italian Ministry of Health
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The study shows that spatial information is widely coded in the high-level visual cortex during perception and imagery, with visual information being coded in both preferred and non-preferred regions of the HVC, supporting a distributed view of encoding.
It is commonly acknowledged that visual imagery and perception rely on the same content-dependent brain areas in the high-level visual cortex (HVC). However, the way in which our brain processes and organizes previous acquired knowledge to allow the generation of mental images is still a matter of debate. Here, we performed a representation similarity analysis of three previous fMRI experiments conducted in our laboratory to characterize the neural representation underlying imagery and perception of objects, buildings and faces and to disclose possible dissimilarities in the neural structure of such representations. To this aim, we built representational dissimilarity matrices (RDMs) by computing multivariate distances between the activity patterns associated with each pair of stimuli in the content-dependent areas of the HVC and HC. We found that spatial information is widely coded in the HVC during perception (i.e. RSC, PPA and OPA) and imagery (OPA and PPA). Also, visual information seems to be coded in both preferred and non-preferred regions of the HVC, supporting a distributed view of encoding. Overall, the present results shed light upon the spatial coding of imagined and perceived exemplars in the HVC.
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