Evidence map›Paper›PMID 42205118›Full record

ArticleFrontiers in integrative neuroscience2026

Consciousness emerges from temporal integration across biological scales: from cellular memory to phenomenological experience.

Alfredo López Parra

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Alfredo López ParraIndependent Researcher, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consciousness remains one of the central challenges in contemporary neuroscience, in part due to the absence of an explicit framework describing the temporal constraints required for integrative processing. While influential models such as Integrated Information Theory and the Free Energy Principle characterize structural and functional aspects of conscious systems, they remain largely agnostic regarding the minimum temporal windows necessary for information to become phenomenologically accessible. We propose that temporal integration constitutes a biologically invariant constraint operating across multiple organizational scales. Drawing on recent experimental evidence of memory formation in non-neuronal cells, we introduce the concept of a minimal bioelectrical/biochemical temporal window (ΔT_b) governing cellular information consolidation. We propose that this foundational temporal constraint may contribute to organismic basal coherence (γ) through bioelectric and autonomic mechanisms, which in turn modulate higher-order perceptual and phenomenological integration. Within the Emergent Flow Theory framework, classical findings from the Libet paradigm are reinterpreted not as evidence against agency, but as reflecting necessary delays associated with multilevel temporal integration. By linking cellular memory, bioelectric signaling, vagal-autonomic regulation, and cortical dynamics, this work outlines a unified temporal architecture of conscious processing that is biologically grounded, mechanistically plausible, and empirically testable using multimodal neurophysiological protocols. The proposed pathway linking cellular temporal integration (ΔT_b) to organismic autonomic coherence (γ) is classified as mechanistically plausible, requiring empirical validation within the EFT framework.

Indexed as

basal coherencebioelectric signalingcellular memoryconsciousnessEmergent Flow TheoryLibet paradigmtemporal integrationvagal regulation

Identifiers

PMID42205118
PMCPMC13201435

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.