Evidence map›Paper›PMID 29257086›Full record

ArticleBrain sciences2017

Investigating Methodological Differences in the Assessment of Dendritic Morphology of Basolateral Amygdala Principal Neurons-A Comparison of Golgi-Cox and Neurobiotin Electroporation Techniques.

Paul M Klenowski, Sophie E Wright, Erica W H Mu, Peter G Noakes, Nickolas A Lavidis, Selena E Bartlett, Mark C Bellingham, Matthew J Fogarty

Abstract read
In one paragraph

Article in Brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  9. Phrenic motor neuron loss in aged rats.Journal of neurophysiology · 2018
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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

8 authors.

Paul M KlenowskiTranslational Research Institute, Queensland University of Technology, Brisbane 4102, Australia. paul.klenowski@umassmed.edu.
Sophie E WrightSchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. sophiewright@live.com.au.
Erica W H MuSchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. e.mu@uq.edu.au.
Peter G NoakesSchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. p.noakes@uq.edu.au.
Nickolas A LavidisSchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. lavidis@uq.edu.au.
Selena E BartlettTranslational Research Institute, Queensland University of Technology, Brisbane 4102, Australia. selena.bartlett@qut.edu.au.
Mark C BellinghamSchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. mark.bellingham@uq.edu.au.ORCID 0000-0001-9189-4430
Matthew J FogartySchool of Biomedical Sciences, The University of Queensland, Brisbane 4072, Australia. m.fogarty@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative assessments of neuronal subtypes in numerous brain regions show large variations in dendritic arbor size. A critical experimental factor is the method used to visualize neurons. We chose to investigate quantitative differences in basolateral amygdala (BLA) principal neuron morphology using two of the most common visualization methods: Golgi-Cox staining and neurobiotin (NB) filling. We show in 8-week-old Wistar rats that NB-filling reveals significantly larger dendritic arbors and different spine densities, compared to Golgi-Cox-stained BLA neurons. Our results demonstrate important differences and provide methodological insights into quantitative disparities of BLA principal neuron morphology reported in the literature.

Indexed as

basolateral amygdaladendritesGolgi–Coxneurobiotinprincipal neuronspines

Identifiers

PMID29257086
PMCPMC5742768

What OpenQuestion holds

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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.