Audio-visual integration has been shown to be present in a wide range of different conditions, some of which are processed through the dorsal, and others through the ventral visual pathway. Whereas neuroimaging studies have revealed integration-related activity in the brain, there has been no imaging study of the possible role of segregated visual streams in audio-visual integration. We set out to determine how the different visual pathways participate in this communication. We investigated how audio-visual integration can be supported through the dorsal and ventral visual pathways during the double flash illusion. Low-contrast and chromatic isoluminant stimuli were used to drive preferably the dorsal and ventral pathways, respectively. In order to identify the anatomical substrates of the audio-visual interaction in the two conditions, the psychophysical results were correlated with the white matter integrity as measured by diffusion tensor imaging. The psychophysiological data revealed a robust double flash illusion in both conditions. A correlation between the psychophysical results and local fractional anisotropy was found in the occipito-parietal white matter in the low-contrast condition, while a similar correlation was found in the infero-temporal white matter in the chromatic isoluminant condition. Our results indicate that both of the parallel visual pathways may play a role in the audio-visual interaction. (C) 2015 Published by Elsevier B.V.
机构:
Univ Vita Salute San Raffaele, Sch Psychol, Via Olgettina 58, I-20132 Milan, Italy
IRCCS San Raffaele Sci Inst, Div Neurosci, I-20132 Milan, ItalyUniv Vita Salute San Raffaele, Sch Psychol, Via Olgettina 58, I-20132 Milan, Italy
Ronconi, Luca
Vitale, Andrea
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机构:
Sci Inst IRCCS Eugenio Medea, Theoret & Cognit Neurosci Unit, Child Psychopathol Dept, I-21842 Bosisio Parini, ItalyUniv Vita Salute San Raffaele, Sch Psychol, Via Olgettina 58, I-20132 Milan, Italy
机构:
Department of Psychology, University of Virginia, Charlottesville, VA, 22904-4400Department of Psychology, University of Virginia, Charlottesville, VA, 22904-4400
机构:
Hefei Univ Technol, Hefei, Peoples R China
SenseTime Res, Hangzhou, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China
Zhou, Jinxing
Wang, Jianyuan
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SenseTime Res, Hangzhou, Peoples R China
Australian Natl Univ, Canberra, ACT, AustraliaHefei Univ Technol, Hefei, Peoples R China
Wang, Jianyuan
Zhang, Jiayi
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SenseTime Res, Hangzhou, Peoples R China
Beihang Univ, Beijing, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China
Zhang, Jiayi
Sun, Weixuan
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SenseTime Res, Hangzhou, Peoples R China
Australian Natl Univ, Canberra, ACT, AustraliaHefei Univ Technol, Hefei, Peoples R China
Sun, Weixuan
Zhang, Jing
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Australian Natl Univ, Canberra, ACT, AustraliaHefei Univ Technol, Hefei, Peoples R China
Zhang, Jing
Birchfield, Stan
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NVIDIA, Santa Clara, CA USAHefei Univ Technol, Hefei, Peoples R China
Birchfield, Stan
Guo, Dan
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Hefei Univ Technol, Hefei, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China
Guo, Dan
Kong, Lingpeng
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机构:
Univ Hong Kong, Pok Fu Lam, Hong Kong, Peoples R China
Shanghai Artificial Intelligence Lab, Shanghai, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China
Kong, Lingpeng
Wang, Meng
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Hefei Univ Technol, Hefei, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China
Wang, Meng
Zhong, Yiran
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SenseTime Res, Hangzhou, Peoples R China
Shanghai Artificial Intelligence Lab, Shanghai, Peoples R ChinaHefei Univ Technol, Hefei, Peoples R China