Evidence map›Paper›PMID 17437283›Full record

ArticleHuman brain mapping2007

Magnetic resonance imaging as a tool for in vivo and ex vivo anatomical phenotyping in experimental genetic models.

Alain Pitiot, Zdenka Pausova, Malcolm Prior, Jennifer Perrin, Naomi Loyse, Tomás Paus

Abstract read
In one paragraph

Article in Human brain mapping, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Enhanced Cortical Thickness Measurements for Rodent Brains via Lagrangian-based RK4 Streamline Computation.Proceedings of SPIE--the International Society for Optical Engineering · 2016
    Article
  5. 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.

Alain PitiotBrain and Body Centre, University of Nottingham, Nottingham, United Kingdom. alain.pitiot@nottingham.ac.uk
Zdenka Pausova
Malcolm Prior
Jennifer Perrin
Naomi Loyse
Tomás Paus

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes a suite of computational approaches suitable for deriving various quantitative phenotypes from structural magnetic resonance (MR) images obtained in rodents and used subsequently in genetic studies of complex traits. We begin by introducing the basic principles of genetic studies of complex traits in experimental models. We then illustrate the use of MR-based computational anatomy in vivo and ex vivo, and in combination with histology. This work was carried out in two inbred strains of rats, namely spontaneously hypertensive rats and Brown Norway rats; these are parental strains of the only existing panel of recombinant inbred strains of rats. The rats were scanned in vivo at two time points (at 8 and 12 weeks of age) and ex vivo (at 12 weeks of age). We describe between-strain differences and across-time changes in brain and kidney volumes, as well as regional variations in brain structure using surface- and deformation-based approaches. We conclude by discussing the power of the population-based computational analysis of MR images, and their fusion with histology, in studies of complex traits.

Indexed as

Brain MappingMagnetic Resonance ImagingMagnetic Resonance SpectroscopyModels, GeneticPhenotypeAnimalsBrainImage Processing, Computer-AssistedMaleRatsRats, Inbred BNRats, Inbred SHR

Identifiers

PMID17437283
PMCPMC6871449

What OpenQuestion holds

Textmetadata
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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.