From Default Mode Network Dysfunction to AI-Augmented Cognitive Offloading: A Systems Framework for High-Functioning CPTSD
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.
Authors
- Min Jinseong (ORCID: https://orcid.org/0009-0002-7589-8081)
Institutions
- Museum of London Archaeology (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-28
- DOI
- https://doi.org/10.5281/zenodo.22149120
- Primary Topic
- Traumatic Brain Injury Research
- Type
- preprint