Abstract

ABSTRACT Background: Guilt and Shame, two core self-related emotions, often emerge following trauma and play an important role in the development and maintenance of post-traumatic stress disorder (PTSD). Importantly, Guilt and Shame exhibit specific focal and non-specific global impacts of trauma on self-perception, respectively. Objective and Methods: Integrating psychological theories with neuroscientific knowledge, we suggest a scheme of two diverging clinical phenotypes of PTSD, associated with distinct self-related processes and differential functionality of relevant neural networks. Proposal: The Guilt-driven phenotype is characterized by preoccupation with negative self-attributes of one's actions in the traumatic event. It involves altered functionality of both the salience network (SN) and the default-mode network (DMN), associated with heightened interoceptive signalling and ruminative introspection which may lead to hyperarousal and intrusive symptoms, respectively. On the contrary, the Shame-driven phenotype is characterized by global, identity-related negative self-attributions. It involves altered functionality of both the SN and the DMN, associated with blunted interoceptive signalling and diminished introspection which may result in withdrawal and anhedonia symptoms together with dissociative experiences, respectively. Conclusion: The proposed PTSD phenotypes may inform neuropsychological therapeutic interventions (e.g. self-focused psychotherapy and neuromodulation) aiming to restore the function of large-scale self-related neural processing. HIGHLIGHTS Guilt and Shame are two self-related emotions that often emerge following traumatic events and may contribute to the clinical profile of post-traumatic stress disorder (PTSD). Our framework suggests Guilt and Sham driven phenotypes of post-traumatic psychopathology, associated with two self-processing deficiencies related to specific action or global identity, respectively. The proposed phenotypes may inform neuropsychological treatments aiming to restore dysfunctional neural networks, later to be evident in alleviating Guilt and Shame and improving clinical outcomes.