Behavioral and Neural Mechanisms of Face-Specific Attention during Goal-Directed Visual Search

Goal-directed visual attention is a fundamental cognitive process that enables animals to selectively focus on specific regions of the visual field while filtering out irrelevant information. However, given the domain specificity of social behaviors, it remains unclear whether attention to faces versus nonfaces recruits different neurocognitive processes. In this study, we simultaneously recorded activity from temporal and frontal nodes of the attention network while macaques performed a goal-directed visual search task. V4 and inferotemporal (IT) visual category-selective units, selected during cue presentation, discriminated fixations on targets and distractors during the search but were differentially engaged by face and house targets. V4 and IT category-selective units also encoded fixation transitions and search dynamics. Compared with distractors, fixations on targets reduced spike-LFP coherence within the temporal cortex. Importantly, target-induced desynchronization between the temporal and prefrontal cortices was only evident for face targets, suggesting that attention to faces differentially engaged the prefrontal cortex. We further revealed bidirectional theta influence between the temporal and prefrontal cortices using Granger causality, which was again disproportionate for faces. Finally, we showed that the search became more efficient with increasing target-induced desynchronization. Together, our results suggest domain specificity for attending to faces and an intricate interplay between visual attention and social processing neural networks.

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Publication Details

Journal
Journal of Neuroscience
Published
2024-09-26
DOI
https://doi.org/10.1523/jneurosci.1299-24.2024
Citations
8
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
2.40

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article

Behavioral and Neural Mechanisms of Face-Specific Attention during Goal-Directed Visual Search

Xiaocang Zhu, J. X. Zhang, Huihui Zhou, Shuo Wang
8 citations
Journal of Neuroscience
Neural dynamics and brain function
2.40
article

Behavioral and Neural Mechanisms of Face-Specific Attention during Goal-Directed Visual Search

Xiaocang Zhu, J. X. Zhang, Huihui Zhou, Shuo Wang
article en
8 citations

Abstract

Goal-directed visual attention is a fundamental cognitive process that enables animals to selectively focus on specific regions of the visual field while filtering out irrelevant information. However, given the domain specificity of social behaviors, it remains unclear whether attention to faces versus nonfaces recruits different neurocognitive processes. In this study, we simultaneously recorded activity from temporal and frontal nodes of the attention network while macaques performed a goal-directed visual search task. V4 and inferotemporal (IT) visual category-selective units, selected during cue presentation, discriminated fixations on targets and distractors during the search but were differentially engaged by face and house targets. V4 and IT category-selective units also encoded fixation transitions and search dynamics. Compared with distractors, fixations on targets reduced spike-LFP coherence within the temporal cortex. Importantly, target-induced desynchronization between the temporal and prefrontal cortices was only evident for face targets, suggesting that attention to faces differentially engaged the prefrontal cortex. We further revealed bidirectional theta influence between the temporal and prefrontal cortices using Granger causality, which was again disproportionate for faces. Finally, we showed that the search became more efficient with increasing target-induced desynchronization. Together, our results suggest domain specificity for attending to faces and an intricate interplay between visual attention and social processing neural networks.

Journal of NeuroscienceVol. 44(46)
Chinese Academy of Sciences (CN), Washington University in St. Louis (US), Peng Cheng Laboratory (CN), Shenzhen Institutes of Advanced Technology (CN)
National Science Foundation, National Institutes of Health
Reduced inequalities
Openalex Percentile: Top 11%
Neural dynamics and brain function
2.40
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