Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition?

Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition?
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DOI:
10.1098/rsos.180857
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发表时间:
2019-07-26
影响因子:
3.5
通讯作者:
Hildebrandt, Andrea
Hildebrandt, Andrea
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Meyer, Kristina;Garzon, Benjamin;Hildebrandt, Andrea

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面孔认知是一种不能用一般认知功能完全解释的特定能力。大脑皮质厚度(CT)是表现和学习的神经关联。在这份注册的报告中,我们使用人类连接项目(HCP)的数据来调查FC核心大脑网络中的CT与心理测量任务组的表现之间的关系,包括带有面部内容的任务。使用结构方程模型(SEM),我们在行为和神经水平上检验了特定面孔个体间差异的存在。测量模型包括性能和CT的一般因素和特定于面部的因素。功能性局限区CT无面部特异性。在事后分析中,我们比较了预先登记的小感兴趣区(ROI)和较大的、非个性化的ROI,并确定了当考虑大的ROI时面部特异的CT因素。我们认为这可能是由于CT在功能定位方面的低可靠性(类内相关系数(ICC)介于0.72和0.85之间)。此外,CT的潜在因素能够以较小的效应量预测一般认知能力,但不能预测特定面孔的表现。总之,对于FC的核心大脑网络,我们提供了探索性证据(需要交叉验证),即共享功能目的的皮质区域也具有CT测量的形态特征。
Face cognition (FC) is a specific ability that cannot be fully explained by general cognitive functions. Cortical thickness (CT) is a neural correlate of performance and learning. In this registered report, we used data from the Human Connectome Project (HCP) to investigate the relationship between CT in the core brain network of FC and performance on a psychometric task battery, including tasks with facial content. Using structural equation modelling (SEM), we tested the existence of face-specific interindividual differences at behavioural and neural levels. The measurement models include general and face-specific factors of performance and CT. There was no face-specificity in CT in functionally localized areas. In post hoc analyses, we compared the preregistered, small regions of interest (ROIs) to larger, non-individualized ROIs and identified a face-specific CT factor when large ROIs were considered. We show that this was probably due to low reliability of CT in the functional localization (intra-class correlation coefficients (ICC) between 0.72 and 0.85). Furthermore, general cognitive ability, but not face-specific performance, could be predicted by latent factors of CT with a small effect size. In conclusion, for the core brain network of FC, we provide exploratory evidence (in need of cross-validation) that areas of the cortex sharing a functional purpose did also share morphological properties as measured by CT.