皮层信息传递揭示人类利手性中保守的半球网络动力学
Cortical information transfer reveals conserved hemispherical network dynamics across human handedness
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中文总结 AI 辅助
本研究结合置换转移熵与网络指标分析脑电图数据，发现皮层通信具有尺度依赖性且跨利手性保守，左利手与右利手在相同手部任务中半球间动力学等效，表明功能不对称源于适应性优化而非结构差异。
中文摘要 AI 辅助
人类运动和大脑偏侧化究竟源于根本不同的神经结构，还是源于保守的网络动力学，这一直是网络科学与神经生物学交叉领域的核心问题。传统的皮层激活测量方法往往无法解析在复杂运动任务中定向信息交换如何适应手部偏好。这种模糊性使得我们不清楚左利手个体是否具有非典型的神经组织，还是遵循共同的动力学原理。在本研究中，我们将置换转移熵（PTE）与基于网络的指标相结合，利用脑电图（EEG）在高精度运动执行（书写）过程中绘制右利手和左利手个体的定向皮层信号流。我们证明，无论利手性如何，皮层通信严格依赖于尺度：同侧优势主要出现在一般的、全网络范围的交互中，而半球间交互则保持对侧特征。至关重要的是，左利手个体在用手执行相同解剖学手部任务时，其半球间信息动力学与右利手个体在功能上等效，这反驳了镜像或非典型偏侧化的假设。通过证明人类皮层偏侧化依赖于跨手部偏好保守的动力学原理，这些发现表明功能不对称反映了受表观遗传或社会灵活性调节的适应性优化，而非固定的结构差异。
英文摘要
Whether human motor and brain lateralization arises from fundamentally distinct neural architectures or emerges from conserved network dynamics remains a central question at the intersection of network science and neurobiology. Conventional measures of cortical activation often fail to resolve how directed information exchange adapts to manual preference during complex motor tasks. This ambiguity leaves it unclear whether left-handed individuals possess atypical neural organization or follow shared dynamical principles. Here, we combine Permutation Transfer Entropy (PTE) with network-based indices to map directed cortical signal flow using electroencephalography (EEG) during high-precision motor execution (handwriting) in both right- and left-handed individuals. We demonstrate that cortical communication is strictly scale-dependent regardless of handedness: ipsilateral dominance occurs primarily in general, network-wide interactions, whereas inter-hemispheric interactions maintain a contralateral profile. Crucially, left-handed individuals exhibit inter-hemispheric information dynamics that are functionally equivalent to right-handers when executing tasks with the same anatomical hand, refuting assumptions of mirrored or atypical lateralization. By demonstrating that human cortical lateralization relies on dynamical principles conserved across manual preferences, these findings suggest that functional asymmetries reflect adaptive optimizations governed by epigenetic or social flexibility, rather than fixed structural divergences.
发表机构
- Universidade Federal da Bahia（巴伊亚联邦大学）
- University of Zaragoza（萨拉戈萨大学）
机构由 AI 辅助整理，请以论文原文为准。
