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Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses.

Abstract：

:Visual cortical prostheses have the potential to restore partial vision. Still limited by the low-resolution visual percepts provided by visual cortical prostheses, implant wearers can currently only "see" pixelized images, and how to obtain the specific brain responses to different pixelized images in the primary visual cortex (the implant area) is still unknown. We conducted a functional magnetic resonance imaging experiment on normal human participants to investigate the brain activation patterns in response to 18 different pixelized images. There were 100 voxels in the brain activation pattern that were selected from the primary visual cortex, and voxel size was 4 mm × 4 mm × 4 mm. Multi-voxel pattern analysis was used to test if these 18 different brain activation patterns were specific. We chose a Linear Support Vector Machine (LSVM) as the classifier in this study. The results showed that the classification accuracies of different brain activation patterns were significantly above chance level, which suggests that the classifier can successfully distinguish the brain activation patterns. Our results suggest that the specific brain activation patterns to different pixelized images can be obtained in the primary visual cortex using a 4 mm × 4 mm × 4 mm voxel size and a 100-voxel pattern.

journal_name

Neural Regen Res

journal_title

Neural regeneration research

authors

Guo BB,Zheng XL,Lu ZG,Wang X,Yin ZQ,Hou WS,Meng M

doi

10.4103/1673-5374.167761

subject

Has Abstract

pub_date

2015-10-01 00:00:00

pages

1622-7

issue

10

eissn

1673-5374

issn

1876-7958

pii

NRR-10-1622

journal_volume

10

pub_type

杂志文章

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