Evidence map›Paper›PMID 41098844›Full record

ArticleCommunicative & integrative biology2025

Identification of brain-like complex information architectures in embryonic tissue of

Thomas F Varley, Vaibhav P Pai, Caitlin Grasso, Jeantine Lunshof, Michael Levin, Josh Bongard

Abstract read
In one paragraph

Article in Communicative & integrative biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Thomas F VarleyVermont Complex Systems Center, University of Vermont, Burlington, VT, USA.ORCID https://orcid.org/0000-0002-3317-9882
Vaibhav P PaiAllen Discovery Institute, Tufts University, Medford, MA, USA.ORCID https://orcid.org/0000-0002-2245-0753
Caitlin GrassoDepartment of Computer Science, University of Vermont, Burlington, VT, USA.
Jeantine LunshofInstitute for Biologically Inspired Engineering at Harvard, Boston, MA, USA.ORCID https://orcid.org/0000-0002-5630-7947
Michael LevinAllen Discovery Institute, Tufts University, Medford, MA, USA.ORCID https://orcid.org/0000-0001-7292-8084
Josh BongardVermont Complex Systems Center, University of Vermont, Burlington, VT, USA.

Funding

PROVIDE RABBITS, RATS MICE, HAMSTERS GERBILS, GUINEA PIGS27307C0012 · NIEHS · PI BOLEN, WAYNE · 2007 to 2007
$1.0M
NIEHS NIH HHS 27307C0012
6 · The paper itself

Abstract

Understanding how populations of cells collectively coordinate activity to produce the complex structures and behaviors that characterize multicellular organisms, and which coordinated activities, if any, survive processes that reshape cells and tissues into organoids, are fundamental issues in modern biology. Here, we show how techniques from complex systems and multivariate information theory provide a framework for inferring the structure of collective organization in non-neural tissue. Many of these techniques were developed in the context of theoretical neuroscience, where these statistics have been found to be altered during different cognitive, clinical, or behavioral states, and are generally thought to be informative about the underlying dynamics linking biology to cognition. Here, we show that these same patterns of coordinated activity are also present in the aneural tissues of evolutionarily distant biological systems: preparations of embryonic

Indexed as

Developmental biologyemergencefunctional connectivitymultivariate information theoryneurosciencesynergy

Identifiers

PMID41098844
PMCPMC12520083

What OpenQuestion holds

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LicenceCC BY-NC
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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.