Dongfang Zhao

Ms. Dongfang Zhao


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2023 in Brain Sciences
Verified
Journal Article
Open access
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DZDongfang Zhao
Dongfang Zhao
XSXiangnan Shen
Xiangnan Shen
Shuaixia LiShuaixia Li
Shuaixia Li
WHWeiqi He
Weiqi He
Recognizing the emotions of faces in a crowd is crucial for understanding overall behavior and intention as well as for smooth and friendly social interactions. However, it is unclear whether the spatial frequency of faces affects the discrimination of crowd emotion. Although high- and low-spatial-frequency information for individual faces is processed by distinct neural channels, there is a lack of evidence on how this applies to crowd faces. Here, we used functional magnetic resonance imaging (fMRI) to investigate neural representations of crowd faces at different spatial frequencies. Thirty-three participants were asked to compare whether a test face was happy or more fearful than a crowd face that varied in high, low, and broad spatial frequencies. Our findings revealed that fearful faces with low spatial frequencies were easier to recognize in terms of accuracy (78.9%) and response time (927 ms). Brain regions, such as the fusiform gyrus, located in the ventral visual stream, were preferentially activated in high spatial frequency crowds, which, however, were the most difficult to recognize behaviorally (68.9%). Finally, the right inferior frontal gyrus was found to be better activated in the broad spatial frequency crowds. Our study suggests that people are more sensitive to fearful crowd faces with low spatial frequency and that high spatial frequency does not promote crowd face recognition.

12 December 2025 in Neuroscience
Verified
Journal Article
Closed access
NZNan Zhang
Nan Zhang
JHJiayue Huang
Jiayue Huang
DZDongfang Zhao
Dongfang Zhao
WLWenbo Luo
Wenbo Luo