Evidence map›Paper›PMID 35301768›Full record

ArticleThe European journal of neuroscience2022

Quantification of neuron types in the rodent hippocampal formation by data mining and numerical optimization.

Sarojini M Attili, Keivan Moradi, Diek W Wheeler, Giorgio A Ascoli

Open access · greenAbstract read
In one paragraph

Article in The European journal of neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  3. Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025
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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

4 authors at 2 institutions in 1 country.

Sarojini M AttiliCenter for Neural Informatics, Structures, and Plasticity, Interdisciplinary Neuroscience Program, Krasnow Institute for Advanced Study, Fairfax, Virginia, USA.ORCID 0000-0002-8548-0562
Keivan MoradiCenter for Neural Informatics, Structures, and Plasticity, Interdisciplinary Neuroscience Program, Krasnow Institute for Advanced Study, Fairfax, Virginia, USA.
Diek W WheelerBioengineering Department and Volgenau School of Engineering, George Mason University, Fairfax, Virginia, USA.
Giorgio A AscoliCenter for Neural Informatics, Structures, and Plasticity, Interdisciplinary Neuroscience Program, Krasnow Institute for Advanced Study, Fairfax, Virginia, USA.
George Mason University · USInstitute for Advanced Study · US

Funding

Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
NIMH NIH HHS U01 MH114829NINDS NIH HHS R01 NS039600
6 · The paper itself

Abstract

Quantifying the population sizes of distinct neuron types in different anatomical regions is an essential step towards establishing a brain cell census. Although estimates exist for the total neuronal populations in different species, the number and definition of each specific neuron type are still intensively investigated. Hippocampome.org is an open-source knowledge base with morphological, physiological and molecular information for 122 neuron types in the rodent hippocampal formation. While such framework identifies all known neuron types in this system, their relative abundances remain largely unknown. This work quantitatively estimates the counts of all Hippocampome.org neuron types by literature mining and numerical optimization. We report the number of neurons in each type identified by main neurotransmitter (glutamate or GABA) and axonal-dendritic patterns throughout 26 subregions and layers of the dentate gyrus, Ammon's horn, subiculum and entorhinal cortex. We produce by sensitivity analysis reliable numerical ranges for each type and summarize the amounts across broad neuronal families defined by biomarkers expression and firing dynamics. Study of density distributions indicates that the number of dendritic-targeting interneurons, but not of other neuronal classes, is independent of anatomical volumes. All extracted values, experimental evidence and related software code are released on Hippocampome.org.

Indexed as

HippocampusRodentiaAnimalsData MiningEntorhinal CortexHumansNeuronscell censusentorhinal cortexhippocampome.Orghippocampusneuroinformaticsoperations research

Identifiers

PMID35301768
PMCPMC10026515
OpenAlexW4220951091

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.