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Updated: Sep 12, 2025

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Published on: February 15, 2021
The Metacontinuum: Bridging cellular composition to cognitive functions in brain organization
Gustavo Guzmán1, Elsa Magaña-Cuevas1, Rocío Hernández-Rizo1
1Biodigital Innovation Lab, Translational Bioengineering Department, CUCEI, Universidad de Guadalajara, Mexico.
The metacontinuum hypothesis links molecular and neural codes, explaining how brain organization generates cognition. This framework integrates biological information across scales, from genes to neural networks.
Area of Science:
- Neuroscience
- Systems Biology
- Computational Biology
Background:
- Brain organization arises from molecular, cellular, and systems-level processes.
- Integration of biological codes across different scales (molecular to neural) is poorly understood.
- Current theories of consciousness lack a framework connecting molecular and neural codes.
Purpose of the Study:
- To propose the metacontinuum hypothesis as a unifying framework for biological information processing.
- To connect molecular and neural codes across different scales of brain organization.
- To address the fragmentation problem in Code Biology by developing an integrated, multi-scale theory.
Main Methods:
- Review and synthesis of existing theories of consciousness and biological codes.
- Integration of evidence from connectomics, transcriptomics, and neuroimaging.
- Development of a theoretical framework (metacontinuum hypothesis).
Main Results:
- Molecular codes define cellular identity and circuit properties.
- Neural codes organize circuits into systems supporting cognition.
- Evidence shows mechanistic links between molecular and neural codes, such as gene expression gradients aligning with functional connectivity.
Conclusions:
- Molecular and neural codes are coupled through bidirectional regulatory mechanisms.
- The metacontinuum hypothesis provides a roadmap for understanding biological information flow from molecular interactions to neural computations.
- This framework supports the development of an integrated, multi-scale theory of life's coding architecture.
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