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Higher levels of trait emotional awareness are associated with more efficient global information integration throughout the brain: a graph-theoretic analysis of resting state functional connectivity

机译:更高水平的特质情感意识与整个大脑更有效的全局信息集成相关联:基于图形理论的静止状态功能连接性分析

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摘要

Previous studies have suggested that trait differences in emotional awareness (tEA) are clinically relevant, and associated with differences in neural structure/function. While multiple leading theories suggest that conscious awareness requires widespread information integration across the brain, no study has yet tested the hypothesis that higher tEA corresponds to more efficient brain-wide information exchange. Twenty-six healthy volunteers (13 females) underwent a resting state functional magnetic resonance imaging scan, and completed the Levels of Emotional Awareness Scale (LEAS; a measure of tEA) and the Wechsler Abbreviated Scale of Intelligence (WASI-II; a measure of general intelligence quotient [IQ]). Using a whole-brain (functionally defined) region of interest (ROI) atlas, we computed several graph theory metrics to assess the efficiency of brain-wide information exchange. After statistically controlling for differences in age, gender and IQ, we first observed a significant relationship between higher LEAS scores and greater average degree (i.e. overall whole-brain network density). When controlling for average degree, we found that higher LEAS scores were also associated with shorter average path lengths across the collective network of all included ROIs. These results jointly suggest that individuals with higher tEA display more efficient global information exchange throughout the brain. This is consistent with the idea that conscious awareness requires global accessibility of represented information.
机译:先前的研究表明情绪意识(tEA)的特质差异在临床上是相关的,并且与神经结构/功能的差异有关。尽管有多种领先的理论表明,意识意识需要大脑中广泛的信息整合,但尚无一项研究检验以下假设:较高的tEA代表更有效的全脑信息交换。 26名健康志愿者(13名女性)进行了静息状态的功能磁共振成像扫描,并完成了情绪意识量表(LEAS; tEA的量度)和韦氏智力量表(WASI-II);通用智商[IQ])。使用全脑(功能定义)的关注区域(ROI)图集,我们计算了几种图论指标来评估全脑信息交换的效率。在统计控制了年龄,性别和智商的差异之后,我们首先观察到较高的LEAS评分与较高的平均程度(即整体全脑网络密度)之间存在显着关系。当控制平均程度时,我们发现较高的LEAS分数还与所有包含ROI的集体网络中较短的平均路径长度相关。这些结果共同表明,具有较高tEA的个体在整个大脑中显示出更有效的全局信息交换。这与意识意识要求所代表的信息具有全局可访问性的想法是一致的。

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