Positive and negative affect in adolescent self-evaluation: psychometric information in single trials used to generate dimension-specific ERPs and neural source models.
Positive and negative affect in adolescent self-evaluation: psychometric information in single trials used to generate dimension-specific ERPs and neural source models.
复制标题
青少年自我评价的积极和消极影响：用于生成特定维度 ERP 和神经源模型的单项试验中的心理测量信息。
DOI：
10.1111/psyp.12035
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Tucker,DonM
中科院分区：
文献类型：
--
作者：
Waters,AllisonC;Tucker,DonM
我们使用密集阵列脑电图（dEEG）、神经源分析和一种新的心理测量加权方法，在青少年样本中研究了自我评价的大脑机制。每个自我评价任务的试验根据其与消极情感和积极情感的相关性进行加权，从而为每个情绪维度构建独特的ERP平均值。结果支持这一假设，即情绪对自我评价的影响是维度特异性的。负面影响与决策时期300 ms内更强大的ERP反应相关。情感加权源分析进一步区分了大脑活动的背后和腹前特征。心理测量权重和dEEG神经源分析的整合可能为情感影响自我评价认知的神经机制提供新的线索。
We examined brain mechanisms of self‐evaluation in a sample of adolescents using dense array EEG (dEEG), neural source analysis, and a novel psychometric weighting method. Each trial of the self‐evaluation task was weighted according to its correlation with negative affect and positive affect, such that unique ERP averages were constructed for each mood dimension. Results support the hypothesis that the emotional influence on self‐appraisal is dimension specific. Negative affect was associated with more robust ERP responses 300 ms into the decision‐making epoch. Affect‐weighted source analyses further differentiated dorsal‐posterior and ventral‐anterior features of brain activity. The integration of psychometric weights and dEEG neural source analysis may provide new clues to the neural mechanisms of affective influence on self‐evaluative cognition.