Pioneering Consciousness Research
At CGT Group Ltd, we develop and test Consciousness Gradient Theory — a framework for measuring entropy resistance capacity in complex adaptive systems. Our research spans neural, institutional, and atmospheric domains, with published findings and a commercial prediction tool under continuous prospective validation.
Institutional Collapse Predictor (ICP) Is Now Live
Real-time risk analysis for public companies using multi-source data and time-decay scoring.
Why DMT Makes You Leave Your Body – But Not Find God
Insights from independent EEG analysis on psychedelic phenomenology
CGT Neural Research: Sleep State Discrimination and Sustained Attention Phenotyping
Initial validation (Sleep-EDF, N=12 subjects, 1,525 epochs): CGI correctly orders consciousness states Wake > REM > N1 > N2 > N3 with large effect sizes (d = 1.47, Wake vs N3).
Independent replication (HMC, N=148 subjects, 137,243 epochs): Confirms robust Wake-NREM gradient (d = 1.31). REM ranks variably relative to N1 across datasets, consistent with REM consciousness arising from different neural mechanisms than cortico-cortical integration. CGI reliably measures the wake-NREM gradient; REM represents a known boundary condition for cortical integration metrics.
Published: bioRxiv DOI: 10.1101/2025.11.10.687628
December 2025: Rally or Fade - Two Distinct Consciousness Responses
New research reveals that 59% of people rally (increase neural coordination) under prolonged cognitive load, but this splits into two opposite states: Adaptive Rally (performance improves) and Drowsy Rally (performance collapses by 600ms). Alpha power distinguishes them with 89% accuracy.
New research (Zenodo 2025) reveals two distinct attention responses under sustained cognitive load. 76% of subjects (13/17) showed significant session-level EEG changes. Two phenotypes identified — Adaptive Rally and Drowsy Rally — separated by alpha power with 89% accuracy and validated by a 600ms reaction time difference.
Join Us in Pioneering Research
We welcome collaboration with academic institutions, research organizations, and industry partners interested in consciousness measurement methodologies. Opportunities include joint research projects, data sharing, peer review, and collaborative publication.