Protocol for topology-preserving smoothing of BOLD fMRI retinotopic maps of the human visual cortex

被引:0
|
作者
Tu, Yanshuai [1 ]
Li, Xin [1 ]
Lu, Zhong-Lin [2 ,3 ,4 ,5 ]
Wang, Yalin [1 ]
机构
[1] Arizona State Univ, Sch Comp & Augmented Intelligence, Tempe, AZ 85281 USA
[2] New York Univ Shanghai, Div Arts & Sci, Shanghai, Peoples R China
[3] NYU, Ctr Neural Sci, New York, NY 10012 USA
[4] NYU, Dept Psychol, New York, NY 10012 USA
[5] NYU Shanghai, NYU ECNU Inst Brain & Cognit Sci, Shanghai, Peoples R China
来源
STAR PROTOCOLS | 2022年 / 3卷 / 03期
关键词
Cognitive neuroscience; Computer sciences; Neuroscience;
D O I
10.1016/j.xpro.2022.101614
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The hierarchical organization of the visual system preserves topology, which is often lost in the "raw"human retinotopic maps derived from BOLD fMRI recordings. Here, we present the protocol for generating topology-preserving and smooth retinotopic maps from human retinotopy fMRI data. We describe data pre-processing, 3D surface flattening, and selection of the region of interest (ROI), followed by smoothing of the retinotopic maps within the ROI. This approach can be applied to visual cortical areas V1, V2, and V3 simultaneously. For complete details on the use and execution of this protocol, please refer to Tu et al. (2021).
引用
收藏
页数:16
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