Dissociating Reflexive Self-Binding from General Neural Complexity: A Perturbational Complexity and Effective Connectivity Study in Depersonalization-Derealization Disorder
John Hansen
Zenodo (CERN European Organization for Nuclear Research) October 19, 2026 preprint DOI: 10.5281/zenodo.23468010 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Clinical protocol |
|---|---|
| Population | Proposed groups: individuals with depersonalization-derealization disorder, healthy controls, individuals with anxiety disorder without depersonalization, and individuals with other dissociative disorders |
| Measures | Perturbational Complexity Index (PCI), Dynamic Causal Modeling of fMRI effective connectivity |
| Topics | Ego dissolution |
| Key points | Proposes that reflexive self-binding can be dissociated from general neural complexity, predicting that people with depersonalization-derealization disorder will show comparable Perturbational Complexity Index values but selectively reduced recurrent self-referential effective connectivity within cortical midline structures. Argues this pattern would differ from the strong form of Integrated Information Theory. No data have been collected; the paper presents a proposed protocol with a preregistrable analysis plan and falsification criteria. |
Abstract
This paper proposes an experimental framework to test whether reflexive self-binding, the property by which ongoing neural processing is experienced as belonging to a subject, can be dissociated from general neural complexity. Depersonalization-derealization disorder (DPD) serves as a naturally occurring clinical model: perception, cognition, and memory remain largely intact, while the felt ownership of experience is diminished. The central prediction is that individuals with DPD will show comparable general neural complexity, measured via the Perturbational Complexity Index (PCI) derived from TMS-EEG, alongside selectively reduced recurrent self-referential effective connectivity within the cortical midline structures, estimated via Dynamic Causal Modeling of fMRI data. This pattern would differ from what the strong form of Integrated Information Theory predicts. The proposed design compares four groups (DPD, healthy controls, anxiety disorder without depersonalization, and other dissociative disorders), uses a Group × Measure interaction as the primary confirmatory test, and specifies a preregistrable analysis plan, power considerations, and explicit criteria under which the hypothesis would be weakened or falsified. No data have been collected; the paper presents a proposed protocol, not results. It is independent of, and does not presuppose, the physical (gravitational) component of the broader Mirror Hypothesis framework from which it originates.