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Gengchen Ye on Muck Rack

Gengchen Ye

As seen in: Nature, UroToday
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Articles

A 5.0 T Ultra-High-Field fMRI Dataset for Naturalistic Visual Scene Processing

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By Gengchen Ye, Mo Wang, Yilin Qian, Yutao Wang, Xinyi Si, Lu Wang, Ming Zhang, Chiyin Li, Yihao Peng, Shaoxin Xiang, Fanzhi Jiang
| Nature Verified
Abstract Modeling neural responses under naturalistic visual stimulation is an important goal in computational neuroscience and brain-computer interface research. Progress in this area depends on neuroimaging datasets that combine repeated measurements, shared stimulus anchors, and sufficient stimulus diversity for evaluating encoding and decoding models. Here, we present the Natural Vision Dataset (NVD), a publicly available 5.0 T fMRI dataset designed for static natural-image viewing.
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Alteration in cerebral cortex thickness and structural covariance networks in patients with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS).

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By Huipeng Ren, weixian Bai, Gengchen Ye
| UroToday Verified
Recent studies have reported regional brain structural alterations in patients with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). However, patterns of cortical thickness (CT) changes and the topological organization of structural covariance networks (SCNs) in CP/CPPS remain insufficiently understood. This study aimed to investigate CT alterations and SCN organization in CP/CPPS using structural magnetic resonance imaging and graph theoretical analysis.
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