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.

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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
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From Default Mode Network Dysfunction to AI-Augmented Cognitive Offloading: A Systems Framework for High-Functioning CPTSD

Min Jinseong
Zenodo (CERN European Organization for Nuclear Research)
Traumatic Brain Injury Research
preprint

From Default Mode Network Dysfunction to AI-Augmented Cognitive Offloading: A Systems Framework for High-Functioning CPTSD

Min Jinseong
preprint en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Museum of London Archaeology (GB)
Traumatic Brain Injury Research
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From Default Mode Network Dysfunction to AI-Augmented Cognitive Offloading: A Systems Framework for High-Functioning CPTSD — Min Jinseong · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS