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Web Application for Quantification of Traumatic Brain Injury-Induced Cortical Lesions in Adult Mice
- Source :
- Neuroinformatics
- Publication Year :
- 2019
- Publisher :
- Springer US, 2019.
-
Abstract
- Disabilities resulting from traumatic brain injury (TBI) strongly correlate with the cytoarchitectonic part of the brain damaged, lesion area, and type of lesion. We developed a Web application to estimate the location of the lesion on mouse cerebral cortex caused by TBI induced by lateral fluid-percussion injury. The application unfolds user-determined TBI lesion measurements, e.g., from histologic sections to a reference template, and estimates the total lesion area, including the percentage of cortex damaged in different cytoarchitectural cortical regions. The resulting lesion can be visualized on a two-dimensional map of mouse cerebral cortex. The application also visualizes the development of the lesion over time when measurements from multiple time points are available. The web application was validated by comparing its performance to the manual method. The total area of the cortical lesion was similar between the manual (9.19 ± 0.66 mm2, range 4.25–14.93 mm2) and the automated analysis (9.27 ± 0.66 mm2, range 4.50–15.10 mm2) (p = 0.938). The results of the manual and automated analyses were strongly correlated (r = 0.999, p
- Subjects :
- Male
medicine.medical_specialty
Neurology
Traumatic brain injury
Web applications
Neuroimaging
Software Original Article
050105 experimental psychology
Pattern Recognition, Automated
Lesion
03 medical and health sciences
Mice
0302 clinical medicine
Cortex (anatomy)
Cortical lesion
Brain Injuries, Traumatic
medicine
Multiple time
Image Processing, Computer-Assisted
Animals
0501 psychology and cognitive sciences
Visualization
Cerebral Cortex
Brain Mapping
Internet
Mouse brain
business.industry
General Neuroscience
05 social sciences
Anatomy
medicine.disease
Mice, Inbred C57BL
medicine.anatomical_structure
Mouse Cerebral Cortex
medicine.symptom
business
030217 neurology & neurosurgery
Software
Information Systems
Automated method
Subjects
Details
- Language :
- English
- ISSN :
- 15590089 and 15392791
- Volume :
- 18
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Neuroinformatics
- Accession number :
- edsair.doi.dedup.....5d641822a5a325b7824c4e2e94751f93