The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Tissue-Level Thresholds for Axonal Damage in an Experimental Model of Central Nervous System White Matter Injury
Abstract
In vivo, tissue-level, mechanical thresholds for axonal injury were determined by comparing morphological injury and electrophysiological impairment to estimated tissue strain in an in vivo model of axonal injury. Axonal injury was produced by dynamically stretching the right optic nerve of an adult male guinea pig to one of seven levels of ocular displacement (Nlevel=10;Ntotal=70). Morphological injury was detected with neurofilament immunohistochemical staining (NF68, SMI32). Simultaneously, functional injury was determined by the magnitude of the latency shift of the N35 peak of the visual evoked potentials (VEPs) recorded before and after stretch. A companion set of in situ experiments Nlevel=5 was used to determine the empirical relationship between the applied ocular displacement and the magnitude of optic nerve stretch. Logistic regression analysis, combined with sensitivity and specificity measures and receiver operating characteristic (ROC) curves were used to predict strain thresholds for axonal injury. From this analysis, we determined three Lagrangian strain-based thresholds for morphological damage to white matter. The liberal threshold, intended to minimize the detection of false positives, was a strain of 0.34, and the conservative threshold strain that minimized the false negative rate was 0.14. The optimal threshold strain criterion that balanced the specificity and sensitivity measures was 0.21. Similar comparisons for electrophysiological impairment produced liberal, conservative, and optimal strain thresholds of 0.28, 0.13, and 0.18, respectively. With these threshold data, it is now possible to predict more accurately the conditions that cause axonal injury in human white matter. [S0148-0731(00)00906-7]
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Practical Statistics for Medical Research
Altman, D. G. (1990) · doi:10.1201/9780429258589 · Cited by 10,668
Sternberger, L. A., & Sternberger, N. H. (1983) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.80.19.6126 · Cited by 1,158
Cited by
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Zhang, L., Yang, K. H., & King, A. I. (2004) · Journal of Biomechanical Engineering · doi:10.1115/1.1691446 · Cited by 939
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09352-w · Cited by 469
Viscoelastic parameter identification of human brain tissue
Budday, S., Sommer, G., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2017) · Journal of the Mechanical Behavior of Biomedical Materials · doi:10.1016/j.jmbbm.2017.07.014 · Cited by 178
Cloots, R. J. H., Gervaise, H. M. T., van Dommelen, J. A. W., & Geers, M. G. D. (2008) · Annals of Biomedical Engineering · doi:10.1007/s10439-008-9510-3 · Cited by 151
Siegmund, G. P., Guskiewicz, K. M., Marshall, S. W., DeMarco, A. L., & Bonin, S. J. (2016) · Annals of Biomedical Engineering · doi:10.1007/s10439-015-1420-6 · Cited by 145
Metadata
- Authors
- Bain, A. C., & Meaney, D. F.
- Venue
- Journal of Biomechanical Engineering
- Publisher
- ASME International
- Published
- 2000-07-24
- Volume
- 122
- Issue
- 6
- Pages
- 615-622
- ISSN
- 0148-0731 (ISSN-L)
- 1528-8951
- OpenAlex
- W2056046210
- Cited by
- 587
- References
- 2
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- closed
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