Kan-Li Geometry as a Cross-Scale Consciousness Metric: A Unified Framework from Allosteric Proteins to Whole-Brain Functional Integration (Version 2 — Corrected)

Version 2 corrects three methodological issues from v1 (DOI: 10.5281/zenodo.20228701): (1) Table 3 consciousness-state CI values are now explicitly labeled as in silico simulations (literature-guided FC perturbation of HCP wakefulness connectome), not direct measurements. (2) Table 4 neuroreceptor ZT_potential values are computed via an approximate Ramachandran-projection pipeline, not directly comparable to AlloBench Laplacian-projection values. (3) The claim 'largest EEG consciousness effect size' is removed; replaced with 'unusually large (d=1.51; cf. Casali et al. 2013 d~1.0-1.3)'. Empirical evidence retained: (a) AlloBench n=569: ZT_potential RF rank #1 (0.120), AUC 0.913, Kan-Li d=-0.894, p<0.001. (b) EEG n=50: HT-alphaSI d=1.51, p=3e-14. (c) HCP wakefulness n=33: SC/FC Kan-Li tension 0.044/0.060 (empirical). In silico predictions (Table 3 rows 2-4) and approximate neuroreceptor rankings (Table 4) are clearly labeled as model outputs requiring experimental validation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-16
DOI
https://doi.org/10.5281/zenodo.20228791
Primary Topic
Functional Brain Connectivity Studies
Type
preprint
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preprint

Kan-Li Geometry as a Cross-Scale Consciousness Metric: A Unified Framework from Allosteric Proteins to Whole-Brain Functional Integration (Version 2 — Corrected)

Yao-Kai Kao
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
preprint

Kan-Li Geometry as a Cross-Scale Consciousness Metric: A Unified Framework from Allosteric Proteins to Whole-Brain Functional Integration (Version 2 — Corrected)

Yao-Kai Kao
preprint en

Abstract

Version 2 corrects three methodological issues from v1 (DOI: 10.5281/zenodo.20228701): (1) Table 3 consciousness-state CI values are now explicitly labeled as in silico simulations (literature-guided FC perturbation of HCP wakefulness connectome), not direct measurements. (2) Table 4 neuroreceptor ZT_potential values are computed via an approximate Ramachandran-projection pipeline, not directly comparable to AlloBench Laplacian-projection values. (3) The claim 'largest EEG consciousness effect size' is removed; replaced with 'unusually large (d=1.51; cf. Casali et al. 2013 d~1.0-1.3)'. Empirical evidence retained: (a) AlloBench n=569: ZT_potential RF rank #1 (0.120), AUC 0.913, Kan-Li d=-0.894, p<0.001. (b) EEG n=50: HT-alphaSI d=1.51, p=3e-14. (c) HCP wakefulness n=33: SC/FC Kan-Li tension 0.044/0.060 (empirical). In silico predictions (Table 3 rows 2-4) and approximate neuroreceptor rankings (Table 4) are clearly labeled as model outputs requiring experimental validation.

Zenodo (CERN European Organization for Nuclear Research)
Allen Institute for Brain Science (US), Taipei Institute of Pathology (TW)
Functional Brain Connectivity Studies
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