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一种受生物启发的神经网络模型,以深入了解创伤后应激障碍及眼动脱敏再处理疗法的机制。

A Biologically Inspired Neural Network Model to Gain Insight Into the Mechanisms of Post-Traumatic Stress Disorder and Eye Movement Desensitization and Reprocessing Therapy.

作者信息

Mattera Andrea, Cavallo Alessia, Granato Giovanni, Baldassarre Gianluca, Pagani Marco

机构信息

Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

出版信息

Front Psychol. 2022 Jul 13;13:944838. doi: 10.3389/fpsyg.2022.944838. eCollection 2022.

Abstract

Eye movement desensitization and reprocessing (EMDR) therapy is a well-established therapeutic method to treat post-traumatic stress disorder (PTSD). However, how EMDR exerts its therapeutic action has been studied in many types of research but still needs to be completely understood. This is in part due to limited knowledge of the neurobiological mechanisms underlying EMDR, and in part to our incomplete understanding of PTSD. In order to model PTSD, we used a biologically inspired computational model based on firing rate units, encompassing the cortex, hippocampus, and amygdala. Through the modulation of its parameters, we fitted real data from patients treated with EMDR or classical exposure therapy. This allowed us to gain insights into PTSD mechanisms and to investigate how EMDR achieves trauma remission.

摘要

眼动脱敏再处理(EMDR)疗法是一种成熟的治疗创伤后应激障碍(PTSD)的治疗方法。然而,EMDR如何发挥其治疗作用已在多种研究中进行了探讨,但仍需全面了解。部分原因是对EMDR潜在神经生物学机制的认识有限,部分原因是我们对PTSD的理解不完整。为了模拟PTSD,我们使用了一种基于放电率单元的受生物启发的计算模型,该模型涵盖了皮层、海马体和杏仁核。通过调整其参数,我们拟合了接受EMDR或经典暴露疗法治疗的患者的真实数据。这使我们能够深入了解PTSD机制,并研究EMDR如何实现创伤缓解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86f0/9326218/8bc795d1d679/fpsyg-13-944838-g0001.jpg

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