A tale of two connectivities: intra- and inter-subject functional connectivity jointly enable better prediction of social abilities.

A tale of two connectivities: intra- and inter-subject functional connectivity jointly enable better prediction of social abilities.
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DOI:
10.3389/fnins.2022.875828
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发表时间:
2022
影响因子:
4.3
通讯作者:
Redcay, Elizabeth
Redcay, Elizabeth
中科院分区:
医学2区
文献类型:
--
作者:
Xie, Hua;Redcay, Elizabeth

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自然主义的功能性磁共振成像(fMRI)模式,如看电影,正吸引越来越多的关注,因为它们能够模拟现实世界对注意力和多模态感觉整合的认知需求。此外,自然主义范式允许以无模型的方式使用主体间功能连接(ISFC)来表征与动态社会认知相关的大脑网络反应。被试内部功能连接(FC)表征了个体的大脑功能结构,而被试内部功能连接(ISFC)表征了个体间由时间锁定的外部动态刺激驱动的神经耦合。在这里,我们假设ISFC和FC提供了关于社会认知个体差异的不同和互补的信息。为了验证这一假设,我们检查了32名健康成年人和90名正常发育儿童的公共观影fMRI数据集。我们建立了三个偏最小二乘回归(PLS)模型来预测使用FC和/或ISFC的社会认知能力,并比较了预测性能,以确定结合两种连通性测量是否可以提高由心理理论(ToM)评估测量的个体社会认知能力的预测准确性。结果表明,ISFC + FC联合模型对个体社会认知能力的预测准确率最高(rho = 0.34, p < 0.001)。我们还证实了精度的提高不是由于特征维数的增加。总之,我们证明了主体内/主体间的连接编码了关于社会能力的独特信息,联合调查可以帮助我们更全面地了解支持社会认知的复杂过程。
Naturalistic functional magnetic resonance imaging (fMRI) paradigms, such as movie viewing, are attracting increased attention, given their ability to mimic the real-world cognitive demands on attention and multimodal sensory integration. Moreover, naturalistic paradigms allow for characterizing brain network responses associated with dynamic social cognition in a model-free manner using inter-subject functional connectivity (ISFC). While intra-subject functional connectivity (FC) characterizes the individual’s brain functional architecture, ISFC characterizes the neural coupling driven by time-locked extrinsic dynamic stimuli across individuals. Here, we hypothesized that ISFC and FC provide distinct and complementary information about individual differences in social cognition. To test this hypothesis, we examined a public movie-viewing fMRI dataset with 32 healthy adults and 90 typically developing children. Building three partial least squares regression (PLS) models to predict social abilities using FC and/or ISFC, we compared predictive performance to determine whether combining two connectivity measures could improve the prediction accuracy of individuals’ social-cognitive abilities measured by a Theory of Mind (ToM) assessment. Our results indicated that the joint model (ISFC + FC) yielded the highest predictive accuracy and significantly predicted individuals’ social cognitive abilities (rho = 0.34, p < 0.001). We also confirmed that the improved accuracy was not due to the increased feature dimensionality. In conclusion, we demonstrated that intra-/inter-subject connectivity encodes unique information about social abilities, and a joint investigation could help us gain a more complete understanding of the complex processes supporting social cognition.
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