Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Nat Commun. 2023 Sep 30;14(1):6115. doi: 10.1038/s41467-023-41686-9.
Recent work has demonstrated that the relationship between structural and functional connectivity varies regionally across the human brain, with reduced coupling emerging along the sensory-association cortical hierarchy. The biological underpinnings driving this expression, however, remain largely unknown. Here, we postulate that intracortical myelination and excitation-inhibition (EI) balance mediate the heterogeneous expression of structure-function coupling (SFC) and its temporal variance across the cortical hierarchy. We employ atlas- and voxel-based connectivity approaches to analyze neuroimaging data acquired from two groups of healthy participants. Our findings are consistent across six complementary processing pipelines: 1) SFC and its temporal variance respectively decrease and increase across the unimodal-transmodal and granular-agranular gradients; 2) increased myelination and lower EI-ratio are associated with more rigid SFC and restricted moment-to-moment SFC fluctuations; 3) a gradual shift from EI-ratio to myelination as the principal predictor of SFC occurs when traversing from granular to agranular cortical regions. Collectively, our work delivers a framework to conceptualize structure-function relationships in the human brain, paving the way for an improved understanding of how demyelination and/or EI-imbalances induce reorganization in brain disorders.
最近的研究表明,结构连接和功能连接之间的关系在人类大脑中呈现区域性变化,随着感觉-联想皮质层次结构的降低,耦合也随之减少。然而,驱动这种表达的生物学基础在很大程度上仍然未知。在这里,我们假设皮质内髓鞘形成和兴奋抑制(EI)平衡介导结构功能连接(SFC)及其在皮质层次结构中时间变化的异质性表达。我们采用图谱和体素连接方法分析了从两组健康参与者中获得的神经影像学数据。我们的发现与六个互补处理管道一致:1)SFC 及其时间方差分别在单模态-跨模态和颗粒-非颗粒梯度中降低和增加;2)髓鞘化增加和 EI 比率降低与更刚性的 SFC 和受限的瞬间 SFC 波动相关;3)当从颗粒状皮质区域过渡到非颗粒状皮质区域时,EI 比率逐渐转变为髓鞘形成,成为 SFC 的主要预测因子。总的来说,我们的工作提供了一个概念化人类大脑中结构功能关系的框架,为更好地理解脱髓鞘和/或 EI 失衡如何在脑疾病中引起重组铺平了道路。