Evidence map›Paper›PMID 40074717›Full record

ReviewThe European journal of neuroscience2025

The Role of Complexity Theory in Understanding Brain's Neuron-Glia Interactions.

M Di Chiano, P Milior, Y Poulot-Becq-Giraudon, R Lanfredini, G Milior

Abstract readReview
In one paragraph

Review in The European journal of neuroscience, 2025. 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

5 authors.

M Di ChianoDepartment of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro, Bari, Italy.
P MiliorPhilosophy Coaching, Department of Humanities, University of Florence, Florence, Italy.
Y Poulot-Becq-GiraudonLaboratory of Neurodegenerative Diseases, CNRS, Molecular Imaging Center (MIRcen), Paris-Saclay University, French Alternative Energies and Atomic Energy Commission (CEA), Fontenay-aux-Roses, France.
R LanfrediniTheoretical Philosophy, Department of Humanities, University of Florence, Florence, Italy.
G MiliorLaboratory of Neurodegenerative Diseases, CNRS, Molecular Imaging Center (MIRcen), Paris-Saclay University, French Alternative Energies and Atomic Energy Commission (CEA), Fontenay-aux-Roses, France.ORCID 0009-0000-4318-6923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain information processing complexity is conventionally recognized as derived from neuronal activity, with neurons and their dynamic signalling responsible for the transfer and processing of information. However, the brain also contains other non-neuronal cells, glial cells, which exceed the number of neurons and are involved in the processes related with information coding by neural networks and underlying brain functions. Decisive advances in the characterization of the molecular and physiological properties of glial cells shed light on their active roles in neurotransmission and neuronal physiopathology. This expanded relationship between neurons and glia challenges traditional neurobiology by highlighting their reciprocal influence, where it is difficult to determine whether neuronal or glial processes initiate and drive the interactions. This interplay creates a dilemma, where the causal hierarchy between these two cell types remains unresolved. A philosophical tool, the 'Theory of Complexity' of Edgard Morin can help to better explain and study the complexity of neuron-glia interactions. Morin's proposal on complexity is useful to transform brain knowledge, in order to review the brain molecular functions in antireductionist pattern. In this manuscript, we will discuss how to use the 'retroactive loop' principle from Morin's 'Theory of Complexity' at the brain molecular level, proposing a new philosophical-experimental grid that can help neuroscientists for a better understanding of the glia-neuron interactions in the brain.

Indexed as

BrainCell CommunicationNeurogliaNeuronsAnimalsHumansModels, Neurologicalantireductionismcomplexitygliamodel theoryneuronsphilosophical toolssynapses

Identifiers

PMID40074717
PMCPMC11903385

What Socratic 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 Socratic graph.