Cognitive Inertia in DPDR: Mechanisms, Recovery Strategies, and AI-Assisted Adaptation

Depersonalization-derealization disorder (DPDR) is a complex cognitive state characterized by a persistent sense of detachment from oneself or the external world. While commonly associated with anxiety and dissociation, traditional treatment methods often fail to address its self-sustaining nature. This study introduces a new model of DPDR based on cognitive inertia, where attentional fixation and perceptual rigidity prevent natural recovery.

The research explores the neurophysiological correlates of DPDR, the role of awareness-based interventions, and the impact of attentional shifts, sensory stimulation, and physical activity in facilitating recovery. A comparative analysis distinguishes DPDR from anxiety disorders and depression, emphasizing its unique cognitive mechanisms.

Additionally, this work presents an AI-based approach for personalized DPDR recovery, leveraging adaptive guidance, attentional navigation, and cognitive restructuring. The findings suggest that breaking attentional fixation and engaging neuroadaptive strategies can significantly accelerate DPDR resolution, providing a structured, empirical foundation for improved treatment methodologies.