Web Application for Quantification of Traumatic Brain Injury-Induced Cortical Lesions in Adult Mice
| Autor: | Jesse Tapiala, Xavier Ekolle Ndode-Ekane, Asla Pitkänen, Robert Ciszek, Pedro Andrade |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 |
| Zdroj: | Neuroinformatics |
| ISSN: | 1559-0089 1539-2791 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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