A biologically inspired neural network model to gain insight into the mechanisms of post-traumatic stress disorder and eye movement desensitization and reprocessing therapy

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 researches but still needs to be
completely understood. This is in part due to a 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 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.