Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses
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 pixeli...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2015-01-01
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| Series: | Neural Regeneration Research |
| Subjects: | |
| Online Access: | http://www.nrronline.org/article.asp?issn=1673-5374;year=2015;volume=10;issue=10;spage=1622;epage=1627;aulast=Guo |
| _version_ | 1818520072276148224 |
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| author | Bing-bing Guo Xiao-lin Zheng Zhen-gang Lu Xing Wang Zheng-qin Yin Wen-sheng Hou Ming Meng |
| author_facet | Bing-bing Guo Xiao-lin Zheng Zhen-gang Lu Xing Wang Zheng-qin Yin Wen-sheng Hou Ming Meng |
| author_sort | Bing-bing Guo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T01:32:30Z |
| format | Article |
| id | doaj.art-5fa7bdfdf829415b963eaf9fcb37eeec |
| institution | Directory Open Access Journal |
| issn | 1673-5374 |
| language | English |
| last_indexed | 2024-12-11T01:32:30Z |
| publishDate | 2015-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Neural Regeneration Research |
| spelling | doaj.art-5fa7bdfdf829415b963eaf9fcb37eeec2022-12-22T01:25:19ZengWolters Kluwer Medknow PublicationsNeural Regeneration Research1673-53742015-01-0110101622162710.4103/1673-5374.167761Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prosthesesBing-bing GuoXiao-lin ZhengZhen-gang LuXing WangZheng-qin YinWen-sheng HouMing MengVisual 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.http://www.nrronline.org/article.asp?issn=1673-5374;year=2015;volume=10;issue=10;spage=1622;epage=1627;aulast=Guonerve regeneration; primary visual cortex; electrical stimulation; visual cortical prosthesis; low resolution vision; pixelized image; functional magnetic resonance imaging; voxel size; neural regeneration; brain activation pattern |
| spellingShingle | Bing-bing Guo Xiao-lin Zheng Zhen-gang Lu Xing Wang Zheng-qin Yin Wen-sheng Hou Ming Meng Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses Neural Regeneration Research nerve regeneration; primary visual cortex; electrical stimulation; visual cortical prosthesis; low resolution vision; pixelized image; functional magnetic resonance imaging; voxel size; neural regeneration; brain activation pattern |
| title | Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses |
| title_full | Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses |
| title_fullStr | Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses |
| title_full_unstemmed | Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses |
| title_short | Decoding brain responses to pixelized images in the primary visual cortex: implications for visual cortical prostheses |
| title_sort | decoding brain responses to pixelized images in the primary visual cortex implications for visual cortical prostheses |
| topic | nerve regeneration; primary visual cortex; electrical stimulation; visual cortical prosthesis; low resolution vision; pixelized image; functional magnetic resonance imaging; voxel size; neural regeneration; brain activation pattern |
| url | http://www.nrronline.org/article.asp?issn=1673-5374;year=2015;volume=10;issue=10;spage=1622;epage=1627;aulast=Guo |
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