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年龄对面部可信度神经激活的影响:体素模式和激活水平评估。

Age differences in Neural Activation to Face Trustworthiness: Voxel Pattern and Activation Level Assessments.

机构信息

Brandeis University, Waltham, MA, USA.

Athinoula A Martinos Center for Biomedical Imaging, Radiology, Charlestown, MA, USA.

出版信息

Cogn Affect Behav Neurosci. 2021 Apr;21(2):278-291. doi: 10.3758/s13415-021-00868-y. Epub 2021 Mar 22.

Abstract

Judgment of trustworthiness is an important social ability. Many studies show neural activation differences to variations in face trustworthiness in brain reward regions. A previously published analysis of the present fMRI data showed that older adults' (OA) reward region activation responded significantly to trustworthiness in a set of older and younger faces, whereas younger adults' (YA) activation did not-a finding inconsistent with studies that used only younger faces. We hypothesized that voxel pattern analyses would be more sensitive to YA neural responses to trustworthiness in our set of faces, replicating YA neural discrimination in prior literature. Based on evidence for OA neural dedifferentiation, we also hypothesized that voxel pattern analyses would more accurately classify YA than OA neural responses to face trustworthiness. We reanalyzed the data with two pattern classification models and evaluated the models' performance with permutation testing. Voxel patterns discriminated face trustworthiness levels in both YA and OA reward regions, while allowing better classification of face trustworthiness for YA than OA, the reverse of previous results for neural activation levels. The moderation of age differences by analytic method shines a light on the possibility that voxel patterns uniquely index neural representations of the stimulus information content, consistent with findings of impaired representation with age.

摘要

判断可信度是一种重要的社交能力。许多研究表明,在大脑奖励区域中,对不同面部可信度的神经激活存在差异。先前对本 fMRI 数据的分析表明,与仅使用年轻面孔的研究结果不一致的是,老年组(OA)的奖励区域激活对一组年老和年轻面孔的可信度有显著反应,而年轻组(YA)的激活则没有。我们假设体素模式分析将更敏感地反映 YA 对我们这组面孔的可信度的神经反应,复制先前文献中 YA 的神经辨别能力。基于 OA 神经去分化的证据,我们还假设体素模式分析将比 OA 更准确地分类 YA 对面孔可信度的神经反应。我们使用两种模式分类模型重新分析了数据,并通过置换检验评估了模型的性能。体素模式在 YA 和 OA 的奖励区域都可以区分面部可信度水平,而 YA 的分类效果优于 OA,这与之前关于神经激活水平的结果相反。分析方法对年龄差异的调节凸显了这样一种可能性,即体素模式独特地反映了刺激信息内容的神经表现,与年龄相关的表现受损的发现一致。

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