Knyazev Gennady G, Savostyanov Alexander N, Bocharov Andrey V, Aftanas Lyubomir I
Institute of Physiology and Basic Medicine, Timakova str., 4, Novosibirsk, 630117, Russia.
Novosibirsk State University, Pirogova str., 2, Novosibirsk, 630090, Russia.
Heliyon. 2019 Nov 29;5(11):e02942. doi: 10.1016/j.heliyon.2019.e02942. eCollection 2019 Nov.
EEG cross-frequency amplitude-amplitude correlation (CF-AAC) has been considered as a potential marker of social anxiety and other affective disturbances. Functional significance of this phenomenon remains unclear, partly because the majority of studies used channel-level analysis, which precluded the spatial localization of observed effects. It is not also clear whether CF-AAC may serve as a marker of specific pathological conditions and specific states, or a more general predisposition to affective disturbances. We used source-level analysis of EEG data obtained in resting conditions in a nonclinical sample and patients with major depressive disorder (MDD) and investigated associations of CF-AAC measures with a broad range of known risk factors for affective disorders, including age, gender, genotype, stress exposure, personality, and self-reported 'neurotic' symptomatology. A consistent pattern of associations showed that all investigated risk factors were associated with an enhancement of CF-AAC in cortical regions associated with emotional and self-referential processing. It could be concluded that CF-AAC is a promising candidate marker of a general predisposition to affective disorders at preclinical stages.
脑电图交叉频率幅度-幅度相关性（CF-AAC）已被视为社交焦虑和其他情感障碍的潜在标志物。这一现象的功能意义仍不明确，部分原因是大多数研究采用通道水平分析，这排除了观察到的效应的空间定位。CF-AAC是否可作为特定病理状况和特定状态的标志物，或更普遍的情感障碍易感性标志物也不清楚。我们对在非临床样本和重度抑郁症（MDD）患者静息状态下获得的脑电图数据进行源水平分析，并研究CF-AAC测量值与一系列已知情感障碍风险因素的关联，这些因素包括年龄、性别、基因型、压力暴露、人格和自我报告的“神经质”症状。一致的关联模式表明，所有研究的风险因素都与与情绪和自我参照加工相关的皮质区域中CF-AAC的增强有关。可以得出结论，CF-AAC是临床前期情感障碍普遍易感性的一个有前景的候选标志物。
