Source Count: 11 | Weighted Score: 30 | Source Confidence: [4/5] | Primary Tier: 1–3 | Last Updated: April 18, 2026
Keywords: consciousness, information integration, IIT, bioelectric coherence, decoherence, anesthesia, default mode network, REBUS, integrated information, basal cognition
Category Tags: consciousness-synthesis, neuroscience, bioelectricity, integrated-information, cross-domain
Cross-References: K_3_18 — Bioelectricity Consciousness Transitions · K_3_15 — Anesthesia Consciousness Mechanisms · K_5_05 — IIT Phi Critics · ZB_2_22 — Bioelectricity Morphogenesis Regeneration · Y_2_17 — Barrier Gating Altered States · K_2_22 — Voltage-Gated Ion Channels

QUICK SUMMARY

Across anesthesiology, integrated information theory, sleep neuroscience, psychedelic research, near-death studies, microbiome-brain research, and Levin's bioelectric morphogenesis program, a single converging principle is becoming visible: consciousness tracks the coherence of integrated information across a system, regardless of the specific substrate carrying that information. The Perturbational Complexity Index discriminates conscious from unconscious states across sleep, anesthesia, and brain-injury patients by measuring exactly this property. REBUS-style psychedelic action increases between-network connectivity and entropy, expanding the repertoire of coherent states. Levin's bioelectric pre-patterns persist across cellular substrate replacement because they are coherent informational structures, not chemical entities. Anesthetics produce unconsciousness by disrupting integration without abolishing local activity. The synthesis: consciousness is not a substance, not a function, not even an emergent property in the standard sense — it is a measurable property of how integrated and coherent the information processing of a system is at any given moment, with neural realization being one specialization of a more general principle. This document maps the convergence across 5 corpus sections (K, ZB, X, Y, I) and 11 supporting documents.

1. VERIFIED CLAIMS (Tier 1 — Peer-Reviewed / Established)

1.1 PCI Discriminates Conscious from Unconscious States Across Inductions

• Evidence: Marcello Massimini, Adenauer Casali, Silvia Casarotto and colleagues (University of Milan / University of Wisconsin) demonstrated in Science Translational Medicine (2013) and Annals of Neurology (2016) that the Perturbational Complexity Index — measuring how widely TMS-evoked cortical activity propagates and how complex the resulting pattern is — reliably distinguishes wakefulness, REM sleep, NREM sleep, anesthesia, and disorders of consciousness. KEY FINDING Across pharmacologically distinct anesthetics (propofol, midazolam, xenon) and physiologically distinct unconscious states (deep sleep, vegetative state), unconsciousness corresponds to PCI values below approximately 0.31. The empirical result establishes that information integration is the load-bearing variable across inductions, not any specific neurotransmitter or anatomical substrate.
• Primary Source: K_5_05 — IIT Phi Critics · K_3_18 — Bioelectricity Consciousness Transitions

1.2 Anesthetics Disrupt Integration Without Abolishing Local Activity

• Evidence: Nicholas Franks (Imperial College London) established in Nature Reviews Neuroscience (2008) that general anesthetics act on specific membrane ion channels (GABA-A potentiation, NMDA inhibition, K+ leak channel activation), producing not global suppression of brain activity but specific disruption of integration across cortical regions. Local oscillations and metabolic activity persist; what fails is the system's ability to bind activity into a coherent whole. The mechanism is consistent across distinct anesthetic classes and across species — making integration loss the proximate mechanism of pharmacological unconsciousness.
• Primary Source: K_3_15 — Anesthesia Consciousness Mechanisms

1.3 Bioelectric Coherence Encodes Information Independent of Cellular Substrate

• Evidence: Michael Levin (Tufts University) has demonstrated across more than a decade of work in Cell, Nature Communications, and Trends in Cognitive Sciences that bioelectric pre-patterns of resting membrane potential encode morphogenetic information used during embryonic patterning, regeneration, and tumor suppression. Two-headed planarians produced by transient gap-junction blockade retain their two-headed phenotype across regeneration cycles in which all cells are replaced — the pattern persists in the bioelectric circuit, not in any cell. This is the cleanest empirical case for an integrated informational pattern persisting across substrate replacement, supporting the broader claim that coherence (not substance) is what is fundamental.
• Primary Source: ZB_2_22 — Bioelectricity Morphogenesis Regeneration

1.4 Voltage-Gated Ion Channels Provide the Molecular Substrate for the Coherence Variable

• Evidence: Bertil Hille (University of Washington) systematized in Ion Channels of Excitable Membranes (3rd ed., Sinauer, 2001) the molecular biophysics by which voltage-gated Na+, K+, Ca2+ and Cl− channels generate, propagate, and synchronize the action potentials and dendritic events that integration-based consciousness measures (PCI, Phi proxies) operate upon. Channelopathies of these channels — SCN1A in Dravet syndrome, KCNQ2/3 in benign familial neonatal epilepsy, CACNA1A in episodic ataxia — produce reproducible disruptions of conscious state spanning seizure, absence, and altered arousal. The integration-failure framework requires a molecular substrate that can be opened, closed, and synchronized on millisecond timescales; voltage-gated channels are that substrate, and their channelopathies are the bottom-up confirmation that the integration variable is physically grounded.
• Primary Source: K_2_22 — Voltage-Gated Ion Channels

2. CREDIBLE CLAIMS (Tier 2 — Academic / Debated but Supported)

2.1 Integrated Information Theory Provides a Mathematical Frame for the Convergence

• Evidence: Giulio Tononi (University of Wisconsin) and collaborators developed Integrated Information Theory across multiple iterations (2004–2014, culminating in Oizumi, Albantakis & Tononi, PLoS Computational Biology, 2014). IIT proposes that consciousness corresponds to integrated information (Φ) — the irreducible cause-effect structure of a system — and that PCI is the empirical proxy for what IIT predicts. Whether or not one accepts IIT's stronger metaphysical claims (that integrated information is consciousness in a substantive sense), the framework provides the mathematical infrastructure for measuring "information coherence" precisely, and PCI's empirical success vindicates IIT's structural intuitions.
• Primary Source: K_5_05 — IIT Phi Critics

2.2 Psychedelic States Correspond to Increased Entropy, Decreased High-Level Coherence

• Evidence: Robin Carhart-Harris and Karl Friston formalized in Pharmacological Reviews (2019) the REBUS model: psychedelics relax the precision-weighting of high-level priors (implemented in the default mode network), producing decreased within-DMN connectivity and increased between-network connectivity. The result is a state of higher entropy and broader exploration of brain configurations — a different kind of coherence rather than its absence. The information coherence framework accommodates this naturally: there are multiple stable modes of coherent integration, and pharmacological intervention can transition between them.
• Primary Source: Y_2_17 — Barrier Gating Altered States

2.3 The Microbiome-Gut-Brain Axis Demonstrates Distributed Information Coherence

• Evidence: John Cryan and Ted Dinan (University College Cork) established in Physiological Reviews (2019) that the gut microbiome influences brain function and behavior via vagal, endocrine, and immune pathways. Conscious experience integrates information from systems anatomically distant from the cortex, including microbial metabolites that originated outside the host genome. The functional unit of "conscious information processing" is therefore extended beyond the brain into a coupled multi-organ, multi-organism system — supporting the broader claim that coherence rather than locality is the primary variable.
• Primary Source: X_3_24 — Gastroenterology Microbiome · ZB_2_20 — Microbiome Dysbiosis

2.4 Coherence Loss Is the Cross-Section of Diverse Pathologies of Consciousness

• Evidence: Across general anesthesia, NREM sleep, generalized seizures, sepsis-associated encephalopathy, and disorders of consciousness following brain injury, the common functional signature is reduced large-scale information integration measured by PCI or analogous metrics. The mechanisms differ — pharmacological at one extreme, infectious-inflammatory in another, structural in a third — but the conscious-state failure mode is the same. This is consistent with consciousness being substantively bound to the integration variable, not to any specific mechanism producing or disrupting it.
• Primary Source: K_3_18 — Bioelectricity Consciousness Transitions

3. SPECULATIVE CLAIMS (Tier 3 — Possible but Unverified)

3.1 Information Coherence May Underlie Cancer-as-Coherence-Collapse

• Evidence: Tumor formation involves loss of tissue-level bioelectric pattern, immune surveillance integration, and microbial-environment coordination — multiple coherence-restoration framings have appeared across recent literature (cf. INTERDOC_43 cancer synthesis). The speculative claim is that the same information-coherence principle that defines consciousness in neural tissue may define health more broadly: loss of integrated coordination across cellular, immune, and informational subsystems is the common factor across cancer pathways. This is a unifying frame, currently more heuristic than mechanism.
• Primary Source: Cancer Research Cure Synthesis

3.2 The UAP / Hard Problem / Measurement Problem Convergence Implicates Information Coherence

• Evidence: Three independent fields — quantum measurement, the Hard Problem of consciousness, and UAP / observation phenomena — converge on the same unresolved question: what is the relationship between observer, observation, and physical actualization? [KEY FINDING — INFERENCE] If consciousness is fundamentally information coherence (Tier 1–2), then the observer-actualization question becomes a question about how coherent informational states interact with quantum-mechanical possibility. This does not solve the convergence but reframes it productively: rather than three separate mysteries, we may have one mystery viewed from three angles.
• Primary Source: I_5_06 — UAP Disclosure 2023

4. DUBIOUS CLAIMS (Tier 4 — No Credible Source / Contradicted by Evidence)

4.1 "Consciousness Is Just Quantum Computation" (Strong Decoherence Claim)

• Evidence: Some popular accounts have argued that consciousness reduces to quantum-coherent computation in microtubules (strong-form Penrose-Hameroff Orch-OR). The brain's warm, wet environment makes maintenance of large-scale quantum coherence physically implausible at the timescales of conscious processing — this is the standard Tegmark critique (Physical Review E, 2000). The information-coherence framework discussed here is classical in the relevant sense — it concerns integrated cause-effect structure across neural ensembles, not quantum superposition of brain states. DEBUNKED in its strong quantum-coherence form, while leaving open weaker integrative-information frameworks that do not require quantum mechanics.

Counter-Arguments & Criticisms

The most direct critique of the unifying frame is that "information coherence" is being asked to do too much explanatory work across too many domains. Anesthesia, psychedelics, gut-brain axis, bioelectric morphogenesis, and quantum measurement are biophysically very different, and labeling all of them under "coherence of integrated information" risks substituting a verbal unification for a real one. The defense: PCI is a precise quantitative measure, and the empirical fact that PCI tracks consciousness across pharmacologically and physiologically distinct inductions is a real result, not a verbal trick. The broader extension to non-neural systems (Levin) and to non-medical altered states (psychedelics, meditation) is a hypothesis to be tested, not yet a settled framework.

A second critique applies to IIT specifically: Scott Aaronson's 2014 demonstration that simple expander graphs would have higher Φ than the human brain has not been satisfactorily resolved by the IIT community. If the math gives intuitively absurd answers, either the math is wrong or our intuitions are wrong — both options have advocates, and the field has not converged.

A third caution: the Hard Problem (cf. Chalmers 1995) is not solved by any of this. Information coherence may be the correlate and possibly the substrate of consciousness, but why integrated information should feel like anything from the inside remains the question that no current framework answers. PCI tells us when consciousness is present; it does not tell us what consciousness is in the philosophically demanding sense.

Falsification Conditions

What would change this document's tier or trigger retirement (added 2026-04-23):

1. A clean conceptual demonstration that bioelectric coherence (C-bio), neural oscillatory coherence (C-neural), and quantum coherence (C-quantum) involve mathematically incompatible structures with no shared mechanism. See VOCABULARY_REGISTER §1. Would force retirement of the cross-substrate synthesis frame; the document would become a survey of three separate phenomena that share a word.
2. PCI fails to track consciousness across a future large-N (>500) anesthesia trial in healthy adults. Would tier-down the central empirical anchor from Tier 1 to Tier 2.
3. Independent failure to replicate the Levin planarian bioelectric memory results in two or more labs. Would force removal of the "non-neural informational coherence" extension.

Last falsifier review: 2026-04-23.

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BIBLIOGRAPHY

1. Casali, Adenauer G., Olivia Gosseries, Mario Rosanova, Mélanie Boly, Simone Sarasso, Karina R | 2013 | "A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior" | Science Translational Medicine | ∅ | 5.198::198 | Casali, Silvia Casarotto, Marie-Aurélie Bruno, Steven Laureys, Giulio Tononi, and Marcello Massimini. ra105 | ∅ | doi:10.1126/scitranslmed.3006294 | ∅ | ∅ | ∅
2. Casarotto, Silvia, Angela Comanducci, Mario Rosanova, Simone Sarasso, Matteo Fecchio, Martino Napolitani, Andrea Pigorini, et al | 2016 | "Stratification of Unresponsive Patients by an Independently Validated Index of Brain Complexity" | Annals of Neurology | ∅ | 80.5::718–729 | ∅ | ∅ | doi:10.1002/ana.24779 | ∅ | ∅ | ∅
3. Franks, Nicholas P | 2008 | "General Anaesthesia: From Molecular Targets to Neuronal Pathways of Sleep and Arousal" | Nature Reviews Neuroscience | ∅ | 9.5::370–386 | ∅ | ∅ | doi:10.1038/nrn2372 | ∅ | ∅ | ∅
4. Levin, Michael | 2021 | "Bioelectric Signaling: Reprogrammable Circuits Underlying Embryogenesis, Regeneration, and Cancer" | Cell | ∅ | 184.8::1971–1989 | ∅ | ∅ | doi:10.1016/j.cell.2021.02.034 | ∅ | ∅ | ∅
5. Oizumi, Masafumi, Larissa Albantakis; Giulio Tononi. e1003588 | 2014 | "From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0" | PLoS Computational Biology | ∅ | 10.5:: | ∅ | ∅ | doi:10.1371/journal.pcbi.1003588 | ∅ | ∅ | ∅
6. Tononi, Giulio, Melanie Boly, Marcello Massimini; Christof Koch | 2016 | "Integrated Information Theory: From Consciousness to Its Physical Substrate" | Nature Reviews Neuroscience | ∅ | 17.7::450–461 | ∅ | ∅ | doi:10.1038/nrn.2016.44 | ∅ | ∅ | ∅
7. Carhart-Harris, Robin L.; Karl J | 2019 | "REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics" | Pharmacological Reviews | ∅ | 71.3::316–344 | Friston | ∅ | doi:10.1124/pr.118.017160 | ∅ | ∅ | ∅
8. Cryan, John F., Kenneth J | 2019 | "The Microbiota-Gut-Brain Axis" | Physiological Reviews | ∅ | 99.4::1877–2013 | O'Riordan, Caitlin S | ∅ | doi:10.1152/physrev.00018.2018 | ∅ | ∅ | M; Cowan, Kiran V; Sandhu, Thomaz F; S; Bastiaanssen, Marcus Boehme, Martin G; Codagnone, et al
9. Tegmark, Max | 2000 | "Importance of Quantum Decoherence in Brain Processes" | Physical Review E | ∅ | 61.4::4194–4206 | ∅ | ∅ | doi:10.1103/PhysRevE.61.4194 | ∅ | ∅ | ∅
10. Chalmers, David J | 1995 | "Facing Up to the Problem of Consciousness" | Journal of Consciousness Studies | ∅ | 2.3::200–219 | ∅ | ∅ | ∅ | ∅ | ∅ | ∅
11. Mashour, George A.; Anthony G | 2018 | "Neural Correlates of Unconsciousness in Large-Scale Brain Networks" | Trends in Neurosciences | ∅ | 41.3::150–160 | Hudetz | ∅ | doi:10.1016/j.tins.2018.01.003 | ∅ | ∅ | ∅

CROSS-REFERENCE INDEX

Generated as part of the April 18, 2026 connections audit (CONNECTIONS_AND_GAPS_AUDIT promotion #1). Last Updated: April 18, 2026