Pacheco-Estefan Daniel, Bouyeure Antoine, Jacob George, Fellner Marie-Christin, Lehongre Katia, Lambrecq Virginie, Frazzini Valerio, Navarro Vincent, Güntürkün Onur, Shen Lu, Yang Jing, Han Biao, Chen Qi, Axmacher Nikolai
Department of Basic, Developmental and Educational Psychology, Faculty of Psychology, Autonomous University of Barcelona, Barcelona, Spain.
Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany.
Nat Hum Behav. 2025 Aug 5. doi: 10.1038/s41562-025-02268-5.
Extinction learning-the suppression of a previously acquired fear response-is critical for adaptive behaviour and core for understanding the aetiology and treatment of anxiety disorders. Electrophysiological studies in rodents have revealed critical roles of theta (4-12 Hz) oscillations in amygdala and hippocampus during both fear learning and extinction, and engram research has shown that extinction relies on the formation of novel, highly context-dependent memory traces that suppress the initial fear memories. Whether similar processes occur in humans and how they relate to previously described neural mechanisms of episodic memory formation and retrieval remains unknown. Intracranial EEG recordings in epilepsy patients provide direct access to the deep brain structures of the fear and extinction network, while representational similarity analysis allows characterizing the memory traces of specific cues and contexts. Here we combined these methods to show that amygdala theta oscillations during extinction learning signal safety rather than threat and that extinction memory traces are characterized by stable and context-specific neural representations that are coordinated across the extinction network. We further demonstrate that context specificity during extinction learning predicts the reoccurrence of fear memory traces during a subsequent test period, while reoccurrence of extinction memory traces predicts safety responses. Our results reveal the neurophysiological mechanisms and representational characteristics of context-dependent extinction learning in the human brain. In addition, they show that the mutual competition of fear and extinction memory traces provides a mechanistic basis for clinically important phenomena such as fear renewal and extinction retrieval.
消退学习——对先前习得的恐惧反应的抑制——对于适应性行为至关重要,也是理解焦虑症病因和治疗的核心。对啮齿动物的电生理研究表明,在恐惧学习和消退过程中,杏仁核和海马体中的θ波(4-12赫兹)振荡起着关键作用,而记忆印记研究表明,消退依赖于形成新颖的、高度依赖情境的记忆痕迹,这些痕迹会抑制最初的恐惧记忆。人类是否发生类似过程以及它们如何与先前描述的情景记忆形成和检索的神经机制相关尚不清楚。癫痫患者的颅内脑电图记录可以直接观察恐惧和消退网络的深部脑结构,而表征相似性分析可以表征特定线索和情境的记忆痕迹。在这里,我们结合这些方法表明,消退学习期间杏仁核的θ波振荡表明的是安全而非威胁,并且消退记忆痕迹的特征是在消退网络中协调的稳定且特定于情境的神经表征。我们进一步证明,消退学习期间的情境特异性可预测后续测试期间恐惧记忆痕迹的重现,而消退记忆痕迹的重现则可预测安全反应。我们的结果揭示了人类大脑中依赖情境的消退学习的神经生理机制和表征特征。此外,它们表明恐惧和消退记忆痕迹的相互竞争为恐惧恢复和消退检索等临床重要现象提供了机制基础。