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Investigating the different mechanisms in related neural activities: a focus on auditory perception and imagery
Cerebral Cortex ( IF 3.7 ) Pub Date : 2024-04-17 , DOI: 10.1093/cercor/bhae139
Jin Gu 1, 2 , Kexin Deng 1 , Xiaoqi Luo 1 , Wanli Ma 1 , Xuegang Tang 1
Affiliation  

Neuroimaging studies have shown that the neural representation of imagery is closely related to the perception modality; however, the undeniable different experiences between perception and imagery indicate that there are obvious neural mechanism differences between them, which cannot be explained by the simple theory that imagery is a form of weak perception. Considering the importance of functional integration of brain regions in neural activities, we conducted correlation analysis of neural activity in brain regions jointly activated by auditory imagery and perception, and then brain functional connectivity (FC) networks were obtained with a consistent structure. However, the connection values between the areas in the superior temporal gyrus and the right precentral cortex were significantly higher in auditory perception than in the imagery modality. In addition, the modality decoding based on FC patterns showed that the FC network of auditory imagery and perception can be significantly distinguishable. Subsequently, voxel-level FC analysis further verified the distribution regions of voxels with significant connectivity differences between the 2 modalities. This study complemented the correlation and difference between auditory imagery and perception in terms of brain information interaction, and it provided a new perspective for investigating the neural mechanisms of different modal information representations.

中文翻译:

研究相关神经活动的不同机制:重点关注听觉感知和意象

神经影像学研究表明,表象的神经表征与感知模态密切相关;然而,不可否认的是,知觉和表象之间的不同经历表明它们之间存在明显的神经机制差异,这不能用表象是弱知觉的一种形式的简单理论来解释。考虑到脑区功能整合在神经活动中的重要性,我们对听觉想象和感知联合激活的脑区神经活动进行相关性分析,从而获得结构一致的脑功能连接(FC)网络。然而,颞上回和右侧中央前皮质区域之间的连接值在听觉感知中显着高于在意象模态中的连接值。此外,基于FC模式的模态解码表明听觉意象和感知的FC网络可以显着区分。随后,体素级 FC 分析进一步验证了两种模式之间具有显着连通性差异的体素分布区域。该研究补充了听觉表象与感知在大脑信息交互方面的相关性和差异性,为研究不同模态信息表征的神经机制提供了新的视角。
更新日期:2024-04-17
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