Barbey Aron K, Colom Roberto, Grafman Jordan
Decision Neuroscience Lab, Beckman Institute for Advanced Science and Technology, University of Illinois, Champaign, IL 61820.
Soc Cogn Affect Neurosci. 2014 Mar;9(3):265-72. doi: 10.1093/scan/nss124. Epub 2012 Nov 19.
Cognitive neuroscience has made considerable progress in understanding the neural architecture of human intelligence, identifying a broadly distributed network of frontal and parietal regions that support goal-directed, intelligent behavior. However, the contributions of this network to social and emotional aspects of intellectual function remain to be well characterized. Here we investigated the neural basis of emotional intelligence in 152 patients with focal brain injuries using voxel-based lesion-symptom mapping. Latent variable modeling was applied to obtain measures of emotional intelligence, general intelligence and personality from the Mayer, Salovey, Caruso Emotional Intelligence Test (MSCEIT), the Wechsler Adult Intelligence Scale and the Neuroticism-Extroversion-Openness Inventory, respectively. Regression analyses revealed that latent scores for measures of general intelligence and personality reliably predicted latent scores for emotional intelligence. Lesion mapping results further indicated that these convergent processes depend on a shared network of frontal, temporal and parietal brain regions. The results support an integrative framework for understanding the architecture of executive, social and emotional processes and make specific recommendations for the interpretation and application of the MSCEIT to the study of emotional intelligence in health and disease.
认知神经科学在理解人类智力的神经结构方面取得了显著进展,确定了一个广泛分布的额叶和顶叶区域网络,该网络支持目标导向的智能行为。然而,这个网络对智力功能的社会和情感方面的贡献仍有待充分描述。在这里,我们使用基于体素的损伤-症状映射,对152名局灶性脑损伤患者的情商神经基础进行了研究。分别应用潜变量模型从梅耶-萨洛维-卡鲁索情商测试(MSCEIT)、韦氏成人智力量表和神经质-外向性-开放性量表中获取情商、一般智力和人格的测量值。回归分析表明,一般智力和人格测量的潜变量分数可靠地预测了情商的潜变量分数。损伤映射结果进一步表明,这些趋同过程依赖于额叶、颞叶和顶叶脑区的共享网络。这些结果支持了一个综合框架,用于理解执行、社会和情感过程的结构,并为MSCEIT在健康和疾病状态下情商研究中的解释和应用提出了具体建议。