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Abstract #0957

Spontaneous Activity Patterns Reveal Non-Retinotopic Functional Parcellation and Organization of Human Visual Cortex

Kun-Han Lu1, Jun Young Jeong1, Haiguang Wen1, and Zhongming Liu1,2

1Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Biomedical Engineering, Purdue University, West Lafayette, IN, United States

We applied Independent Component Analysis (ICA) for mapping cortical visual areas and networks based on resting-state fMRI signals within the visual cortex. We found that spontaneous brain activity at rest exhibits reliable network patterns not only in the whole-brain scale but also in much finer scales. These networks show notable differences compared to the classical visual regions defined with retinotopic mapping or cytoarchitecture. In addition, these networks are anatomically segregated and functionally specialized into three modules: the dorsal pathway, the ventral pathway, and the early visual areas shared by these two pathways.

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