Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 298

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Repetitive Mild Traumatic Brain Injury in a Mouse Model Produces Learning and Memory Deficits Accompanied by Histological Changes

Open access
Mouzon, Benoit, Chaytow, Helena, Crynen, Gogce, Bachmeier, Corbin, Stewart, Janice, Mullan, Michael, Stewart, William, Crawford, Fiona·2012·Journal of Neurotrauma

Abstract

Concussion or mild traumatic brain injury (mTBI) represents the most common type of brain injury. However, in contrast with moderate or severe injury, there are currently few non-invasive experimental studies that investigate the cumulative effects of repetitive mTBI using rodent models. Here we describe and compare the behavioral and pathological consequences in a mouse model of single (s-mTBI) or repetitive injury (r-mTBI, five injuries given at 48 h intervals) administered by an electromagnetic controlled impactor. Our results reveal that a single mTBI is associated with transient motor and cognitive deficits as demonstrated by rotarod and the Barnes Maze respectively, whereas r-mTBI results in more significant deficits in both paradigms. Histology revealed no overt cell loss in the hippocampus, although a reactive gliosis did emerge in hippocampal sector CA1 and in the deeper cortical layers beneath the injury site in repetitively injured animals, where evidence of focal injury also was observed in the brainstem and cerebellum. Axonal injury, manifest as amyloid precursor protein immunoreactive axonal profiles, was present in the corpus callosum of both injury groups, though more evident in the r-mTBI animals. Our data demonstrate that this mouse model of mTBI is reproducible, simple, and noninvasive, with behavioral impairment after a single injury and increasing deficits after multiple injuries accompanied by increased focal and diffuse pathology. As such, this model may serve as a suitable platform with which to explore repetitive mTBI relevant to human brain injury.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1089/neu.2012.2498

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

Metadata

Authors
Mouzon, B., Chaytow, H., Crynen, G., Bachmeier, C., Stewart, J., Mullan, M., Stewart, W., & Crawford, F.
Venue
Journal of Neurotrauma
Published
2012-12-10
Volume
29
Issue
18
Pages
2761-2773
ISSN
  • 0897-7151 (ISSN-L)
  • 1557-9042
OpenAlex
W2137938185
Cited by
298
References
12
FWCI
13.57
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.