Conceptual framework reveals AI-augmented cognitive offloading targets Default Mode Network dysfunction in high-functioning CPTSD, suggesting a systems-level alternative to standard therapy.
High-functioning Complex Post-Traumatic Stress Disorder (CPTSD) presents a unique neuro-psychiatric paradox:individuals demonstrate exceptional external performance, high intellectual bandwidth, and cross-domain analyticalcapacities alongside chronic hyper-arousal and affective numbing. A central physiological driver of this condition is thestructural dysfunction of the Default Mode Network (DMN). Hyper-activation of the threat-detection system(amygdala) hijacks the DMN during non-task-oriented states, transforming intrinsic self-reflection into hyper-connectedconceptual rumination. Conventional therapeutic interventions—such as mindfulness or cognitive suppression—frequently fail in high-functioning cohorts due to high baseline electrical voltage and intense intellectual self-efficacy.This paper proposes a novel, cybernetic paradigm: AI-Augmented Cognitive Of loading. By constructing customartificial intelligence agent pipelines as an external cognitive exocortex, high-voltage internal associations aresystematically captured, structured, and externalized. This framework bridges neurobiology, clinical psychology, andsystems engineering, shifting trauma recovery from cognitive suppression to sovereign system architecture.
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Min Jinseong (2026) studied this question.
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