Leimeister Franziska, Pesquita Ana, Jensen Ole, Pauli Paul, Wiemer Julian
Institute of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), University of Würzburg, Marcusstr. 9-11, 97070 Würzburg, Germany.
Centre for Human Brain Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
Int J Psychophysiol. 2023 Nov;193:112235. doi: 10.1016/j.ijpsycho.2023.08.008. Epub 2023 Aug 19.
It is widely accepted that impaired safety learning to a safe stimulus is a pathological feature of anxiety disorders. Safety learning refers to learning that a stimulus is associated with the absence of threat. Cognitive mechanisms that underlie successful threat and safety learning are, however, poorly understood. This study aimed to identify various physiological markers, including neural oscillations and event-related potentials (ERPs) that predict successful threat and safety learning. Therefore, to detect potential differences in these markers, we measured EEG in a fear learning framework combined with a subsequent memory paradigm. Thirty-seven participants were asked to memorize a series of associations between faces and an aversive unconditioned stimulus (US) or its omission. We found a decrease of power in the alpha band in occipital brain regions during learning for both threatening (conditioned stimuli, CS+) and safe faces (control stimuli, CS-) that were subsequently remembered to be associated with a US or not. No effects in theta band were found. In regard to ERPs, a late positive potential (LPP) and a P300 component were larger for remembered than for forgotten CS-US associations. The P300 was also enhanced to remembered US and US omissions, thus replicating previous findings. These results point to the importance of cognitive resource allocation as an underlying mechanism of fear learning and electrophysiological measurements as potential biomarkers for successful threat and safety learning.
人们普遍认为,对安全刺激的安全学习受损是焦虑症的一个病理特征。安全学习是指学习到一种刺激与无威胁相关。然而,成功的威胁和安全学习背后的认知机制却知之甚少。本研究旨在识别各种生理标志物,包括预测成功的威胁和安全学习的神经振荡和事件相关电位(ERP)。因此,为了检测这些标志物的潜在差异,我们在恐惧学习框架与后续记忆范式相结合的情况下测量了脑电图。37名参与者被要求记住一系列面孔与厌恶无条件刺激(US)或其缺失之间的关联。我们发现,在学习过程中,枕叶脑区的α波段功率在随后被记住与US相关或不相关的威胁性面孔(条件刺激,CS+)和安全面孔(对照刺激,CS-)上均有所下降。在θ波段未发现影响。关于ERP,对于被记住的CS-US关联,晚期正电位(LPP)和P300成分比被遗忘的更大。P300对被记住的US和US缺失也增强了,从而复制了先前的发现。这些结果表明认知资源分配作为恐惧学习的潜在机制以及电生理测量作为成功的威胁和安全学习的潜在生物标志物的重要性。