Abstract: Post-traumatic stress disorder (PTSD) represents a significant global health burden due to its highly distressing and disabling nature. Networked psychological interventions have gained prominence in the treatment of PTSD, primarily owing to their accessibility and anonymity. Despite their widespread application, a comprehensive systematic review of these interventions remains absent from the literature. This study seeks to fill this gap by providing a thorough overview of the methodologies and therapeutic outcomes associated with networked psychological interventions for PTSD, with a particular focus on both “top-down” and “bottom-up” approaches.
To elucidate the psychological mechanisms underlying these interventions, this study introduces a dual mechanism model for networked PTSD interventions: a cognitive-behavioral therapy (CBT) model based on cognitive restructuring and a cognitive bias modification (CBM) model based on cognitive distortions. Furthermore, this study examines the factors influencing the efficacy of networked interventions for PTSD, thereby laying the groundwork for future research.
The "top-down" intervention approach focuses on modifying patients' cognitive patterns and structures through higher-order cognitive processes, emphasizing cognitive reconstruction. Early networked interventions, grounded in the first and second waves of behavioral therapies, concentrated on cognition and behavior, incorporating modules such as self-exposure and cognitive reassessment. Technological advancements have since enhanced these interventions, broadening their content and form, and integrating therapies that combine habituation with psychological processing of traumatic events. Recently, interventions based on third-wave behavioral therapies, such as Acceptance and Commitment Therapy (ACT) and Mindfulness, have been developed, emphasizing present-moment awareness and acceptance of inner experiences. Among various networked psychological interventions, networked CBT remains the most prevalent and efficacious. "Top-down" psychological interventions are based on cognitive control theory, which emphasizes cognitive control and the regulation of emotions and behaviors by higher brain functions. The mechanism of action involves helping individuals form more positive and realistic cognitions by identifying and challenging negative automatic thoughts, thereby improving mood and behavior. The dual-mechanism model posits that "top-down" interventions may mitigate PTSD symptoms by reducing trauma-related negative cognitions.
Conversely, “bottom-up” interventions involve direct manipulation of stimuli and responses without altering cognitive structures or thought patterns, focusing on the restoration of dysfunctional cognitions. Research on networked CBM for PTSD has predominantly addressed attentional and interpretation biases, with less emphasis on memory bias modification. Networked interpretation bias modification has demonstrated efficacy in treating PTSD, while the effectiveness of attentional bias modification remains debated. "Bottom-up" psychological interventions are based on sensory processing theory and affective processing theory, which propose that sensory input and affective processes can directly influence the brain's higher functions and behavioral responses. The dual-mechanism model hypothesizes that "bottom-up" interventions may alleviate PTSD symptoms by reducing negative cognitive biases, including attentional and interpretation biases.
The effectiveness of networked PTSD interventions is influenced by numerous factors, including individual characteristics (e.g., age, educational background, trauma severity) and intervention-specific factors (e.g., therapist support availability, intervention dosage, modality). The interplay of these factors can significantly determine the overall success of the intervention, necessitating a nuanced understanding of how different elements contribute to therapeutic outcomes.
Future research should explore the integration of advanced technologies such as chatbots and virtual simulation tools to provide immediate support and personalized interventions. These technologies can offer real-time feedback and tailored therapeutic content, thereby enhancing the comprehensiveness and effectiveness of digital interventions. Moreover, the use of artificial intelligence and machine learning algorithms can enable the development of adaptive interventions that dynamically adjust to the patient's progress and needs, further improving outcomes.
In conclusion, networked psychological interventions hold significant promise for the treatment of PTSD, offering accessible and effective therapeutic options. By providing a comprehensive overview of the methodologies and therapeutic outcomes, this study contributes to the growing body of knowledge on digital mental health interventions. Future research should continue to refine these interventions, leveraging advanced technologies and deepening our understanding of the underlying psychological mechanisms to enhance their efficacy and practical applicability.

Key words: post-traumatic stress disorder, networked interventions, psychological interventions, effects, mechanisms.