Neural architecture supporting active emotion processing in children: A multivariate approach
Neural architecture supporting active emotion processing in children: A multivariate approach
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DOI：
10.1016/j.neuroimage.2018.12.013
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发表时间：
2019-03-01
期刊：
影响因子：
5.7
通讯作者：
Perlman, Susan B.
中科院分区：
文献类型：
--
作者：
Camacho, M. Catalina;Karim, Helmet T.;Perlman, Susan B.
背景：适应性情绪处理对社会和情绪功能的几乎所有方面都至关重要。有不同的发展轨迹与改善的情绪处理，与一个长期的发展过程中的负面或复杂的情绪。然而，这种发展背后的神经回路的具体变化仍然很少被理解。我们采用了多变量的方法，以阐明复杂的，自然主义的情绪处理儿童和adulth.Method之间的区别：21名成人（M +/- SD年龄= 26.57 +/- 5.08岁）和30名儿童（年龄= 7.75 +/- 1.80岁）完成了免费观看电影的任务，在BOLD功能磁共振成像扫描。这项任务旨在评估描绘积极，消极和中性情绪的电影剪辑的自然主义处理。多变量支持向量机（SVM）进行了训练，根据神经激活在task.Results年龄组进行分类：支持向量机能够成功地分类条件（积极，消极，中性）在所有参与者具有较高的准确率（61.44%）。支持向量机可以成功区分成人和儿童在每种条件下（ps < 0.05）。区域，告知年龄组的支持向量机与感官和社会情绪处理（顶叶下小叶），情绪调节（额下回），和感觉区的颞叶和枕叶lobes.Conclusions：这些结果点分布在儿童和成人之间的激活差异独特的每种情绪条件。具体来说，在消极条件下，有证据表明儿童和成人之间的参与从感官和社会情感整合区域转移到情绪调节区域。这些结果提供了深入了解电路有助于成熟的情绪处理整个发展。
Background: Adaptive emotion processing is critical for nearly all aspects of social and emotional functioning. There are distinct developmental trajectories associated with improved emotion processing, with a protracted developmental course for negative or complex emotions. The specific changes in neural circuitry that underlie this development, however are still scarcely understood. We employed a multivariate approach in order to elucidate distinctions in complex, naturalistic emotion processing between childhood and adulthood.Method: Twenty-one adults (M +/- SD age = 26.57 +/- 5.08 years) and thirty children (age = 7.75 +/- 1.80 years) completed a free-viewing movie task during BOLD fMRI scanning. This task was designed to assess naturalistic processing of movie clips portraying positive, negative, and neutral emotions. Multivariate support vector machines (SVM) were trained to classify age groups based on neural activation during the task.Results: SVMs were able to successfully classify condition (positive, negative, and neutral) across all participants with high accuracy (61.44%). SVMs could successfully distinguish adults and children within each condition (ps < 0.05). Regions that informed the age group SVMs were associated with sensory and socio-emotional processing (inferior parietal lobule), emotion regulation (inferior frontal gyrus), and sensory regions of the temporal and occipital lobes.Conclusions: These results point to distributed differences in activation between childhood and adulthood unique to each emotional condition. In the negative condition specifically, there is evidence for a shift in engagement from regions of sensory and socio-emotional integration to emotion regulation regions between children and adults. These results provide insight into circuitry contributing to maturation of emotional processing across development.