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Abstract

Emotional processing theory developed by E. B. Foa and M. J. Kozak (1986) has informed the conceptualization of anxiety disorders and the development of effective treatments for these disorders, including posttraumatic stress disorder (PTSD). This article presents a summary and update of emotional processing theory as it applies to the treatment of PTSD, data in support of this theory, and clinical examples of how the theory can be used to assist in the treatment of clients with PTSD. Common difficulties confronted during exposure therapy for PTSD, including underengagement and overengagement, are discussed in the context of emotional processing theory and suggestions for how to manage these difficulties are presented.
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... First, emotional processing theory has been foundational in exposure therapy [41], emphasizing fear activation and habituation within (i.e., within-session habituation) and across (i.e., between-session habituation) sessions. Effective treatment, according to this theory, requires modification of the pathological features and incorporation of new elements in a fear structure in memory [42,86]. Second, inhibitory learning theory has more recently gained attention [29,30]. ...
... In light of this, during this study we will explore the assumption that similar mechanisms are at play in VRE and IVE. Traditionally, fear habituation was considered the 'active ingredient' of exposure [42,86]. However, in recent years, the consensus has shifted towards viewing a mismatch between expected and actual outcomes as the most significant driver of symptom reduction and as such exposure is often conducted in ways where this mismatch can be maximized [29,30,81]. ...
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While virtual reality exposure (VRE) has shown effectiveness in treating social anxiety in adults, research on its efficacy for adolescents remains limited. Given that adolescence is a critical period for early intervention, this study aims to address this gap by evaluating the efficacy and acceptability of VRE compared to in vivo exposure (IVE) in a non-referred sample of socially anxious adolescents. Additionally, we seek to identify mechanisms of change—such as expectancy violation, habituation, and self-efficacy—as well as predictors of treatment response, including clinical, personality, and VR-related factors. Using a randomized controlled trial (RCT), 120 adolescents (ages 12–16) with subclinical to moderate social anxiety will be assigned to one of three conditions: VRE, IVE, or a waitlist control (WL). Participants in the active conditions will undergo a seven-session exposure-based intervention (either in VR or in vivo). Primary (SPAI-18, LSAS-avoidance) and secondary (SPWSS) measures of social anxiety, along with general well-being indicators (e.g., resilience, depression, psychosocial functioning), will be assessed at baseline, post-treatment, and 3- and 6-month follow-ups. A series of linear mixed model (LMM) analyses will be used to examine and compare the effects of the interventions. We hypothesize that both VRE and IVE will significantly reduce social anxiety symptoms compared to WL at post-assessment, with comparable long-term efficacy between the two exposure methods. Additionally, thematic analyses will be conducted to explore participants’ experiences and acceptance of VRE and IVE through qualitative interviews. The findings of this study aim to advance digital mental health research by evaluating the potential of VRE as an early intervention and identifying mechanisms and predictors to inform personalized treatments for socially anxious youth. Trial registration Clinicaltrials.gov: NCT06379633, registered on April, 23, 2024.
... People who suffer from posttraumatic stress disorder (PTSD) tend to hold negative beliefs about themselves, others, and the world. In different theoretical models of PTSD, negative trauma-related cognitions about the trauma and its sequala have been suggested to be central in PTSD symptom development and maintenance (Ehlers & Clark, 2000;Rauch & Foa, 2006;Resick & Schnicke, 1992). Indeed, many empirical studies have underscored the centrality of negative cognitions and its relationship with the onset, maintenance, and recovery from PTSD (Brown et al., 2019;Gómez de La Cuesta et al., 2019). ...
... For instance, someone may hold the negative belief that the world is dangerous and may therefore wrongfully expect to be attacked when going out. Negative expectancies are theorized to be overestimated in both likelihood and cost by individuals with PTSD (Ehlers & Clark, 2000;Rauch & Foa, 2006). Moreover, experimental psychopathology studies have shown that negative threat expectancies are related to the development and severity of PTSD symptoms (Engelhard et al., 2009;Herzog et al., 2022;Kimble et al., 2018). ...
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Purpose Dysfunctional threat appraisal plays a key role in both the development and treatment of PTSD. It is unclear how these appraisals can best be measured. This study aimed to explore the specific negative outcome predictions held by patients with PTSD and to develop and validate the Threat Appraisal in PTSD Scale (TAPS). Methods We used data from a non-clinical (N = 309) and clinical sample (N = 125) to assess the psychometric properties of the TAPS. Results The TAPS had excellent internal consistency and test-retest reliability, and convergent and discriminative validity were adequate. The TAPS showed to be sensitive to change following treatment. The TAPS demonstrated incremental validity beyond general cognitions in predicting PTSD symptoms in the combined sample, but not in the patient sample. An exploratory factor analysis suggested three factors: ‘losing control’, ‘externalizing reactions’, and ‘physical reactions’, and patients seemed most concerned about outcomes related to ‘losing control’. Conclusions These findings imply that the TAPS could be clinically beneficial, enabling patients and therapists to recognize dysfunctional expectancies and tailor therapeutic interventions accordingly.
... This notion is further supported by a close affect-specific link between heart rate and neural activity in integral parts of the limbic system (Kuniecki, Barry, & Kaiser, 2003;Yang et al., 2007), a network crucial for memory consolidation (Catani, Dell'acqua, & Thiebaut de Schotten, 2013) and known to be altered in individuals with PTSD (Shin, Rauch, & Pitman, 2006). Generally speaking, when dealing with traumatic experiences, emotional engagement up to a certain degree as opposed to detachment (i.e., dissociation) has been shown to be beneficial in preventing or reducing PTSD symptoms, presumably by supporting adaptive (nocturnal) emotional memory processing (Möller, Söndergaard, & Helström, 2017;Rauch & Foa, 2006). However, it remains to be determined whether there are certain levels of arousal at different time points around a traumatic event that are beneficial for or detrimental to adaptive memory encoding and subsequent (nocturnal) consolidation (see e.g., Chou et al. (2014) for an attempt to decipher distinct effects of increased arousal at different time points around an analog traumatic event). ...
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Recent evidence shows a strong correlative link between sleep disturbances and intrusive memories after traumatic events, presumably due to insufficient (nocturnal) memory integration. However, the underlying mechanisms of this link and the role of specific neural activities during sleep are poorly understood so far. Here, we investigated how the intra-individual affective response to an experimental trauma predicts changes in oscillatory activity during subsequent sleep and how these changes predict the processing of the experimental trauma. In a randomized within-subject comparison, twenty-two female, healthy participants (23.14 ± 2.46 years) watched a well-validated film clip including “traumatic” contents and a neutral film clip before bedtime on two separate nights. Heart rate was recorded during the film clips and nocturnal brain activity was recorded using 64-channel high-density EEG during subsequent nights. Intrusive memories were assessed via a seven-days diary and negative affect was assessed using laboratory trauma film reminders one week after the trauma film. An increased intra-individual heart rate during the trauma film predicted higher intra-individual sleep spindle amplitude the following night. Increased theta activity (4.25 - 8 Hz) during rapid eye movement (REM) sleep after the trauma film predicted fewer trauma film related intrusive memories and negative affect. Likewise, an increase in sleep spindles after the trauma film predicted fewer trauma film related intrusive memories. Our findings suggest that an experience-dependent up-regulation of these nocturnal oscillatory activity patterns, which are known to be involved in adaptive memory consolidation processes, serves as a protective factor against trauma-related intrusive memory development. Particularly, increased theta activity during REM sleep and sleep spindle activity seem to be of importance here.
... In our research and clinical experience, psychophysiological measures can be beneficial for enhancing emotional engagement in therapist-guided exposures, while also providing a means of biofeedback to compellingly index treatment response, thereby spurring therapeutic change. Additionally, while emotional engagement has been posited as requisite for therapeutic change to occur in exposure-based interventions (Foa & Kozak, 1986;Rauch & Foa, 2006), the correspondence between subjective and objectively-measured physiological engagement is low and confounded with prognosis. For example, the most symptomatic and impaired individuals with PTSD report the greatest subjective distress and engagement with trauma-related imagery, but do not show corresponding increases in physiological arousal (McTeague et al., 2010;McTeague & Lang, 2012) Accordingly, physiological measures of engagement in exposure may also serve as a clinically-meaningful prognostic indicator. ...
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Many psychotherapy interventions have a large evidence base and can help a substantial number of people with symptoms of mental health conditions. However, we still have little understanding of why treatments work. Early advances in psychotherapy, such as the development of exposure therapy, built on theoretical and experimental evidence from Pavlovian and instrumental conditioning. More generally, all psychotherapy achieves change through learning. The past 25 years have seen substantial developments in computational models of learning, with increased computational precision and a focus on multiple learning mechanisms and their interaction. Now might be a good time to formalize psychotherapy interventions as computational models of learning to improve our understanding of mechanisms of change in psychotherapy. To advance research and help bring together a new joint field of theory-driven computational psychotherapy, we first review literature on cognitive behavioral therapy (exposure therapy and cognitive restructuring) and introduce computational models of reinforcement learning and representation learning. We then suggest a mapping of these learning algorithms on change processes presumably underlying the effects of exposure therapy and cognitive restructuring. Finally, we outline how the understanding of interventions through the lens of learning algorithms can inform intervention research.
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