Di Xin, Jain Pratik, Biswal Bharat B
Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA.
Brain Connect. 2025 Aug;15(6):207-216. doi: 10.1089/brain.2024.0044. Epub 2025 Jun 25.
Research on brain functional connectivity often relies on intraindividual moment-to-moment correlations of functional activity, typically using functional MRI (fMRI). Interindividual correlations are also employed in data from fMRI and positron emission tomography. Many studies have not specified tasks during scanning, keeping participants in an implicit "resting" condition. This lack of task specificity raises questions about how different tasks impact interindividual correlation estimates. In our analysis of fMRI data from 100 unrelated participants scanned during seven tasks and in a resting state, we calculated regional homogeneity (ReHo) for each task as a regional measure of brain function. We found that changes in ReHo due to tasks were relatively small compared with its variations across brain regions. Cross-region variations of ReHo were highly correlated among tasks. Similarly, whole-brain interindividual correlation patterns were remarkably consistent across the tasks, showing correlations greater than 0.78. Changes in interindividual correlations between tasks were primarily driven by connectivity in the visual, somatomotor, and default mode networks, as well as the interactions between them. These subtle yet statistically significant differences in functional connectivity may be linked to specific brain regions associated with the studied tasks. Future studies should consider task design when exploring interindividual connectivity in specific brain systems.
大脑功能连接性的研究通常依赖于功能活动的个体内逐时相关性,一般使用功能磁共振成像(fMRI)。个体间相关性也被用于功能磁共振成像和正电子发射断层扫描的数据中。许多研究在扫描过程中未明确规定任务,让参与者处于一种隐含的“静息”状态。这种缺乏任务特异性的情况引发了关于不同任务如何影响个体间相关性估计的问题。在我们对100名无关参与者在七个任务和静息状态下扫描得到的功能磁共振成像数据的分析中,我们计算了每个任务的局部一致性(ReHo),作为大脑功能的一种局部测量指标。我们发现,与大脑区域间的变化相比,任务引起的局部一致性变化相对较小。局部一致性的跨区域变化在各任务间高度相关。同样,全脑个体间相关模式在各任务间也非常一致,相关性大于0.78。任务间个体间相关性的变化主要由视觉、躯体运动和默认模式网络中的连接性以及它们之间的相互作用驱动。这些功能连接性上细微但具有统计学意义的差异可能与与所研究任务相关的特定脑区有关。未来的研究在探索特定脑系统中的个体间连接性时应考虑任务设计。