Evidence map›Paper›PMID 31945723›Full record

ReviewCurrent opinion in neurobiology2020

The evolution of brain structure captured in stereotyped cell count and cell type distributions.

Pavel Němec, Pavel Osten

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The evolution of brain neuron numbers in amniotes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. 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

2 authors.

Pavel NěmecDepartment of Zoology, Faculty of Science, Charles University, Vinicna 7, 12844 Prague, Czech Republic. Electronic address: pgnemec@natur.cuni.cz.
Pavel OstenCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11743, USA. Electronic address: osten@cshl.edu.

Funding

Collaboratory for atlasing cell type anatomy in the female and male mouse brainU01MH114824 · NIMH · COLD SPRING HARBOR LABORATORY · PI MITRA, PARTHA PRATIM · 2017 to 2021
$11.7M
Towards quantitative cell type-based mapping of the whole mouse brainU01MH105971 · NIMH · COLD SPRING HARBOR LABORATORY · PI OSTEN, PAVEL · 2014 to 2016
$3.9M
The bonding brain: Substrates of social attachment in monogamous volesR01MH115267 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI OSTEN, PAVEL, PHELPS, STEVEN M · 2017 to 2021
$3.5M
NIMH NIH HHS R01 MH115267NIMH NIH HHS U01 MH105971NIMH NIH HHS U01 MH114824
6 · The paper itself

Abstract

The stereotyped features of brain structure, such as the distribution, morphology and connectivity of neuronal cell types across brain areas, are those most likely to explain the remarkable capacity of the brain to process information and govern behaviors. Recent advances in anatomical methods, including the simple but versatile isotropic fractionator and several whole-brain labeling, clearing and microscopy methods, have opened the door to an exciting new era in comparative brain anatomy, one that has the potential to transform our understanding of the brain structure-function relationship by representing the evolution of brain complexity in quantitative anatomical features shared across species and species-specific or clade-specific. Here we discuss these methods and their application to mapping brain cell count and cell type distributions-two particularly powerful neural correlates of vertebrate cognitive and behavioral capabilities.

Indexed as

BrainBrain MappingAnimalsCell CountNeuronsSpecies Specificity

Identifiers

PMID31945723
PMCPMC7191610

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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.