Li Bao, Zhang Chi, Cao Long, Chen Panpan, Liu Tianyuan, Gao Hui, Wang Linyuan, Yan Bin, Tong Li
Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China.
Brain Sci. 2023 Sep 29;13(10):1387. doi: 10.3390/brainsci13101387.
Recognizing highly occluded objects is believed to arise from the interaction between the brain's vision and cognition-controlling areas, although supporting neuroimaging data are currently limited. To explore the neural mechanism during this activity, we conducted an occlusion object recognition experiment using functional magnetic resonance imaging (fMRI). During magnet resonance examinations, 66 subjects engaged in object recognition tasks with three different occlusion degrees. Generalized linear model (GLM) analysis showed that the activation degree of the occipital lobe (inferior occipital gyrus, middle occipital gyrus, and occipital fusiform gyrus) and dorsal anterior cingulate cortex (dACC) was related to the occlusion degree of the objects. Multivariate pattern analysis (MVPA) further unearthed a considerable surge in classification precision when dACC activation was incorporated as a feature. This suggested the combined role of dACC and the occipital lobe in occluded object recognition tasks. Moreover, psychophysiological interaction (PPI) analysis disclosed that functional connectivity (FC) between the dACC and the occipital lobe was enhanced with increased occlusion, highlighting the necessity of FC between these two brain regions in effectively identifying exceedingly occluded objects. In conclusion, these findings contribute to understanding the neural mechanisms of highly occluded object recognition, augmenting our appreciation of how the brain manages incomplete visual data.
尽管目前支持的神经影像数据有限,但人们认为识别高度遮挡的物体源于大脑视觉和认知控制区域之间的相互作用。为了探索这一活动过程中的神经机制,我们使用功能磁共振成像(fMRI)进行了一项遮挡物体识别实验。在磁共振检查期间,66名受试者参与了具有三种不同遮挡程度的物体识别任务。广义线性模型(GLM)分析表明,枕叶(枕下回、枕中回和枕颞梭状回)和背侧前扣带回皮质(dACC)的激活程度与物体的遮挡程度有关。多变量模式分析(MVPA)进一步发现,当将dACC激活作为一个特征纳入时,分类精度有相当大的提高。这表明dACC和枕叶在遮挡物体识别任务中共同发挥作用。此外,心理生理交互作用(PPI)分析表明,随着遮挡程度的增加,dACC与枕叶之间的功能连接(FC)增强,突出了这两个脑区之间的FC在有效识别极度遮挡物体方面的必要性。总之,这些发现有助于理解高度遮挡物体识别的神经机制,加深我们对大脑如何处理不完整视觉数据的认识。