Evidence map›Paper›PMID 42218499›Full record

ReviewCell & bioscience2026

Epineuronal space: an emerging hidden hierarchy bridges neuron and mind space.

Yi-Xi Zhang, Qiang-Long You, Xiang-Dong Sun

Abstract readReview
In one paragraph

Review in Cell & bioscience, 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

3 authors.

Yi-Xi ZhangDepartment of Clinical Medicine, the Third Clinical School of Guangzhou Medical University, Guangzhou, China.
Qiang-Long YouDepartment of Physiology, School of Basic Medicine, Guangzhou Medical University, Guangzhou, China.
Xiang-Dong SunKey Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong Joint Laboratory for PsychiatricDisorders, Guangdong Province Key Laboratory of Psychiatric Disorders,Guangdong Basic Research Center of Excellence for Integrated Traditional andWestern Medicine for Qingzhi Diseases, Department of Neurobiology, Schoolof Basic Medical Sciences, Southern Medical University, Guangzhou, China. xisun@smu.edu.cn.

Funding

Natural Science Foundation of China 82271555Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0507100
6 · The paper itself

Abstract

The emergent nature of life hinders reductionist paradigms of mapping microscale fundamental components with macroscale phenotypes. Such dilemma of mapping problems can be resolved through seeking hidden hierarchies among them. In developmental biology, the introduction of epigenotype highlighting developmental tissue scale interactions bridges the gap between phenotype and genotype, providing an instance for coping with mapping problems. As an analogy, we summarize a space above neuron level, named as epineuronal space, which represents an organization form constructed by neural assemblies, oscillations, their collective dynamics and working states. This hidden hierarchy is hypothesized to bridge neuron and mind space in a paradigm combining systemic and reductionist approaches. That is, to elucidate organization forms among epineuronal space, and to dissect the latter into circuit and neuron level. Advent of techniques like Neuropixel enables us to construct such space, making this paradigm a testable frame.

Indexed as

EmergenceEpineuronal spaceNeural oscillationsNeuron-mind mappingReductionismSystems biologyWeinberg explanatory arrows

Identifiers

PMID42218499
PMCPMC13479580

What OpenQuestion holds

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Registered trials

None linked

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.