Aydın Serap
Medical Faculty, Biophysics Department, Hacettepe University, Ankara, Turkey.
Cogn Neurodyn. 2023 Apr;17(2):331-344. doi: 10.1007/s11571-022-09843-w. Epub 2022 Jul 25.
In the present study, new findings reveal the close association between graph theoretic global brain connectivity measures and cognitive abilities the ability to manage and regulate negative emotions in healthy adults. Functional brain connectivity measures have been estimated from both eyes-opened and eyes-closed resting-state EEG recordings in four groups including individuals who use opposite Emotion Regulation Strategies (ERS) as follow: While 20 individuals who frequently use two opposing strategies, such as rumination and cognitive distraction, are included in 1st group, 20 individuals who don't use these cognitive strategies are included in 2nd group. In 3rd and 4th groups, there are matched individuals who use both Expressive Suppression and Cognitive Reappraisal strategies together frequently and never use them, respectively. EEG measurements and psychometric scores of individuals were both downloaded from a public dataset LEMON. Since it is not sensitive to volume conduction, Directed Transfer Function has been applied to 62-channel recordings to obtain cortical connectivity estimations across the whole cortex. Regarding well defined threshold, connectivity estimations have been transformed into binary numbers for implementation of Brain Connectivity Toolbox. The groups are compared to each other through both statistical logistic regression models and deep learning models driven by frequency band specific network measures referring segregation, integration and modularity of the brain. Overall results show that high classification accuracies of 96.05% (1st vs 2nd) and 89.66% (3rd vs 4th) are obtained in analyzing full-band ( ) EEG. In conclusion, negative strategies may upset the balance between segregation and integration. In particular, graphical results show that frequent use of rumination induces the decrease in assortativity referring network resilience. The psychometric scores are found to be highly correlated with brain network measures of global efficiency, local efficiency, clustering coefficient, transitivity and assortativity in even resting-state.
在本研究中，新发现揭示了图论全局脑连接性测量与健康成年人管理和调节负面情绪的认知能力之间的紧密关联。已从睁眼和闭眼静息态脑电图记录中估计了四组人群的功能性脑连接性测量值，这四组人群采用了相反的情绪调节策略（ERS），具体如下：第一组包括20名经常使用两种相反策略（如沉思和认知分心）的个体，第二组包括20名不使用这些认知策略的个体。在第三组和第四组中，分别有经常一起使用表达抑制和认知重评策略的匹配个体以及从不使用这些策略的匹配个体。个体的脑电图测量值和心理测量分数均从公共数据集LEMON下载。由于定向传递函数对容积传导不敏感，因此已将其应用于62通道记录，以获得整个皮层的皮质连接性估计值。根据明确的阈值，已将连接性估计值转换为二进制数，以用于脑连接性工具箱的实现。通过统计逻辑回归模型和由特定频段网络测量驱动的深度学习模型（涉及大脑的分离、整合和模块化）对各组进行相互比较。总体结果表明，在分析全频段脑电图时，第一组与第二组比较的分类准确率高达96.05%，第三组与第四组比较的分类准确率为89.66%。总之，消极策略可能会打破分离与整合之间的平衡。特别是，图形结果表明，频繁使用沉思会导致与网络弹性相关的 assortativity 降低。研究发现，即使在静息状态下，心理测量分数也与全局效率、局部效率、聚类系数、传递性和 assortativity 等脑网络测量值高度相关。
