侧前额皮质和默认模式网络的功能耦合预测心理旋转的表现。

Imaging neuroscience (Cambridge, Mass.) Pub Date : 2025-08-14 eCollection Date: 2025-01-01 DOI:10.1162/IMAG.a.112
Radek Ptak, Naz Doganci, Emilie Marti, Sélim Yahia Coll
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引用次数: 0

摘要

心理转换,如心理旋转,依赖于运动表征,并涉及与身体动作类似的神经过程。神经影像学研究表明,心理旋转激活枕顶叶皮层和运动相关区域,其差异取决于刺激是身体的还是非身体的。这些发现强调了额顶叶网络在精神旋转中的作用,类似于运动计划中的作用。这项研究调查了左外侧前额叶皮层(lPFC)的静息状态功能连通性,该区域与运动规划和其他功能大脑网络相关,是否预测心理旋转表现。59名健康个体接受了功能磁共振成像(fMRI)来捕捉静息状态血氧水平依赖(BOLD)活动,并使用身体(手)和非身体(字母)刺激完成心理旋转任务。在两项心理旋转任务中,被试在完全倒置的刺激条件下均表现出预期的难度峰值,这需要180度的心理转换。在功能层面,心理旋转错误率与lPFC连接到默认模式网络(DMN)相关。然而,这种关系是负的,并且在手部任务中更强,表明lPFC-DMN相互作用与较差的心理旋转表现相关。这些结果表明,有效的心理旋转依赖于DMN与运动规划网络的功能断开。这些发现强调了研究静息状态功能连接的重要性,以了解大脑网络如何促进认知功能,以及它们的相互作用如何增强或损害表现。这项工作促进了我们对心理旋转的神经机制的理解,强调了运动认知和静息状态动力学之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional coupling of the lateral prefrontal cortex and the default mode network predicts performance in mental rotation.

Mental transformations, such as mental rotation, rely on motor representations and engage neural processes similarly to physical actions. Neuroimaging studies reveal that mental rotation activates the occipito-parietal cortex and motor-related areas, with differences based on whether stimuli are bodily or non-bodily. These findings emphasize the role of frontoparietal networks in mental rotation, similar to those used in motor planning. This study investigated whether resting-state functional connectivity of the left lateral prefrontal cortex (lPFC), a region linked to motor planning, and other functional brain networks predicts mental rotation performance. Fifty-nine healthy individuals underwent functional magnetic resonance imaging (fMRI) to capture resting-state blood oxygenation level dependent (BOLD) activity and completed mental rotation tasks using bodily (hands) and non-bodily (letters) stimuli. Performance in both mental rotation tasks exhibited the expected peak of difficulty with completely inverted stimuli, which require a mental transformation of 180 degrees. At the functional level, mental rotation error rates correlated with lPFC connectivity to the default mode network (DMN). However, this relationship was negative and much stronger for the hands task, indicating that lPFC-DMN interactions were associated with poorer mental rotation performance. These results indicate that effective mental rotation relies on the functional disconnection of the DMN from motor planning networks. The findings highlight the significance of studying resting-state functional connectivity to understand how brain networks contribute to cognitive functions and how their interactions can enhance or impair performance. This work advances our understanding of the neural mechanisms underlying mental rotation, emphasizing the interplay between motor cognition and resting-state dynamics.

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