Jallepalli Dheemant, Dang Shilpa
Network & Cognitive Neuroscience Lab, Centre for Brain Science & Applications, School of Artificial Intelligence & Data Science, Indian Institute of Technology Jodhpur, Jodhpur, India.
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Sci Rep. 2025 Sep 1;15(1):32133. doi: 10.1038/s41598-025-18023-9.
Local segregation and global integration are the fundamnetal organizational principles of human brain. It is unknown how subcortex configures itself with respect to the segregation and integration dynamics at rest. Using resting state functional MRI data of 92 healthy adult participants, we revealed three non-overlapping segregated communities in subcortex, confining anatomically to thalamus, basal ganglia, and subcortical limbic structures, termed as subcortical networks. Further using network science, we analysed the topology of subcortex and found about 80% of subcortical regions acting as hubs, connecting with other cortical as well as subcortical communities. Next, using statistical modelling, we determined the role of subcortex (both at region-level and network-level) in cortical information integration and found multiple, widespread cortical regions (networks) converging onto individual subcortical regions (networks) (a many-to-one mapping). Individual subcortical networks showed varied extent of convergence, broadly from primary and association networks in cortex. We found functional diversity of cortex to be the major driving factor behind cortical convergence within subcortex and that the absence of subcortical regions significantly impacted the information transmission efficiency within the cortico-subcortical converging organization. Overall, our results provide insights into the subcortical organization at rest and underscore the subcortical contributions in shaping the large-scale brain dynamics.
局部隔离和全局整合是人类大脑的基本组织原则。目前尚不清楚在静息状态下,皮层下区域是如何根据隔离和整合动态进行自我配置的。我们使用92名健康成年参与者的静息态功能磁共振成像数据,揭示了皮层下区域存在三个不重叠的隔离群落,在解剖学上分别局限于丘脑、基底神经节和皮层下边缘结构,我们将其称为皮层下网络。进一步运用网络科学,我们分析了皮层下区域的拓扑结构,发现约80%的皮层下区域起到枢纽作用,与其他皮层及皮层下群落相连。接下来,通过统计建模,我们确定了皮层下区域(在区域层面和网络层面)在皮层信息整合中的作用,发现多个广泛分布的皮层区域(网络)汇聚到单个皮层下区域(网络)(多对一映射)。各个皮层下网络的汇聚程度各不相同,大致来自皮层中的初级和联合网络。我们发现皮层功能多样性是皮层下区域内皮层汇聚的主要驱动因素,并且皮层下区域的缺失显著影响了皮层-皮层下汇聚组织内的信息传输效率。总体而言,我们的研究结果为静息状态下的皮层下组织提供了见解,并强调了皮层下区域在塑造大规模脑动态中的作用。