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

A corrected preprint reports that the allosteric modulator ZT_potential ranks first among 569 compounds in an AlloBench prediction task (AUC 0.913, d=-0.894, p<0.001). In an EEG study of 50 participants, the HT-alphaSI metric shows an unusually large effect size (d=1.51, p=3e-14) compared to prior work. Empirical connectome tension values from 33 HCP wakefulness participants are 0.044 (SC) and 0.060 (FC). Previously claimed direct consciousness-state measurements are now labeled as in silico simulations, and neuroreceptor rankings are approximate model outputs requiring experimental validation.

Study at a glance

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.