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Title: The limited contribution of early visual cortex in visual working memory for surface roughness
Authors: Fujimichi, Munendo
Yamamoto, Hiroki  kyouindb  KAKEN_id  orcid (unconfirmed)
Saiki, Jun  kyouindb  KAKEN_id
Author's alias: 藤道, 宗人
山本, 洋紀
齋木, 潤
Keywords: Roughness
Visual working memory
Early visual cortex
Issue Date: Oct-2020
Publisher: Springer Nature
Journal title: Experimental Brain Research
Volume: 238
Start page: 2189
End page: 2197
Abstract: Are visual representations in the human early visual cortex necessary for visual working memory (VWM)? Previous studies suggest that VWM is underpinned by distributed representations across several brain regions, including the early visual cortex. Notably, in these studies, participants had to memorize images under consistent visual conditions. However, in our daily lives, we must retain the essential visual properties of objects despite changes in illumination or viewpoint. The role of brain regions—particularly the early visual cortices—in these situations remains unclear. The present study investigated whether the early visual cortex was essential for achieving stable VWM. Focusing on VWM for object surface properties, we conducted fMRI experiments, while male and female participants performed a delayed roughness discrimination task in which sample and probe spheres were presented under varying illumination. By applying multi-voxel pattern analysis to brain activity in regions of interest, we found that the ventral visual cortex and intraparietal sulcus were involved in roughness VWM under changing illumination conditions. In contrast, VWM was not supported as robustly by the early visual cortex. These findings show that visual representations in the early visual cortex alone are insufficient for the robust roughness VWM representation required during changes in illumination.
Rights: This is a post-peer-review, pre-copyedit version of an article published in 'Experimental Brain Research'. The final authenticated version is available online at:
The full-text file will be made open to the public on 18 July 2021 in accordance with publisher's 'Terms and Conditions for Self-Archiving'
This is not the published version. Please cite only the published version.
DOI(Published Version): 10.1007/s00221-020-05881-0
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