Chakraborty Priyanka, Saha Suman, Deco Gustavo, Banerjee Arpan, Roy Dipanjan
Cognitive Brain Dynamics Lab, National Brain Research Centre, NH-8, Manesar, Haryana 122051, India.
Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Cereb Cortex Commun. 2023 Jul 17;4(3):tgad012. doi: 10.1093/texcom/tgad012. eCollection 2023.
The focal lesion alters the excitation-inhibition (E-I) balance and healthy functional connectivity patterns, which may recover over time. One possible mechanism for the brain to counter the insult is global reshaping functional connectivity alterations. However, the operational principles by which this can be achieved remain unknown. We propose a novel equivalence principle based on structural and dynamic similarity analysis to predict whether specific compensatory areas initiate lost E-I regulation after lesion. We hypothesize that similar structural areas (SSAs) and dynamically similar areas (DSAs) corresponding to a lesioned site are the crucial dynamical units to restore lost homeostatic balance within the surviving cortical brain regions. SSAs and DSAs are independent measures, one based on structural similarity properties measured by Jaccard Index and the other based on post-lesion recovery time. We unravel the relationship between SSA and DSA by simulating a whole brain mean field model deployed on top of a virtually lesioned structural connectome from human neuroimaging data to characterize global brain dynamics and functional connectivity at the level of individual subjects. Our results suggest that wiring proximity and similarity are the 2 major guiding principles of compensation-related utilization of hemisphere in the post-lesion functional connectivity re-organization process.
病灶会改变兴奋-抑制(E-I)平衡和健康的功能连接模式,这些模式可能会随时间恢复。大脑应对损伤的一种可能机制是对功能连接改变进行全局重塑。然而,实现这一目标的操作原则仍然未知。我们提出了一种基于结构和动态相似性分析的新颖等效原理,以预测特定的代偿区域在损伤后是否会启动丧失的E-I调节。我们假设与损伤部位相对应的相似结构区域(SSAs)和动态相似区域(DSAs)是在存活的皮质脑区中恢复丧失的稳态平衡的关键动态单元。SSAs和DSAs是独立的测量指标,一个基于通过杰卡德指数测量的结构相似性属性,另一个基于损伤后的恢复时间。我们通过模拟一个全脑平均场模型来揭示SSA和DSA之间的关系,该模型部署在来自人类神经影像数据的虚拟损伤结构连接组之上,以在个体受试者层面表征全脑动态和功能连接。我们的结果表明,布线接近度和相似性是损伤后功能连接重组过程中与代偿相关的半球利用的两个主要指导原则。