The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Lateral Fluid Percussion Brain Injury: A 15-Year Review and Evaluation
Abstract
This article comprehensively reviews the lateral fluid percussion (LFP) model of traumatic brain injury (TBI) in small animal species with particular emphasis on its validity, clinical relevance and reliability. The LFP model, initially described in 1989, has become the most extensively utilized animal model of TBI (to date, 232 PubMed citations), producing both focal and diffuse (mixed) brain injury. Despite subtle variations in injury parameters between laboratories, universal findings are evident across studies, including histological, physiological, metabolic, and behavioral changes that serve to increase the reliability of the model. Moreover, demonstrable histological damage and severity-dependent behavioral deficits, which partially recover over time, validate LFP as a clinically-relevant model of human TBI. The LFP model, also has been used extensively to evaluate potential therapeutic interventions, including resuscitation, pharmacologic therapies, transplantation, and other neuroprotective and neuroregenerative strategies. Although a number of positive studies have identified promising therapies for moderate TBI, the predictive validity of the model may be compromised when findings are translated to severely injured patients. Recently, the clinical relevance of LFP has been enhanced by combining the injury with secondary insults, as well as broadening studies to incorporate issues of gender and age to better approximate the range of human TBI within study design. We conclude that the LFP brain injury model is an appropriate tool to study the cellular and mechanistic aspects of human TBI that cannot be addressed in the clinical setting, as well as for the development and characterization of novel therapeutic interventions. Continued translation of pre-clinical findings to human TBI will enhance the predictive validity of the LFP model, and allow novel neuroprotective and neuroregenerative treatment strategies developed in the laboratory to reach the appropriate TBI patients.
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Cites
ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS
Teasdale, G., & Jennett, B. (1974) · The Lancet · doi:10.1016/s0140-6736(74)91639-0 · Cited by 13,215
Place navigation impaired in rats with hippocampal lesions
Morris, R. G. M., Garrud, P., Rawlins, J. N. P., & O'Keefe, J. (1982) · Nature · doi:10.1038/297681a0 · Cited by 6,340
Willner, P. (1997) · Psychopharmacology · doi:10.1007/s002130050456 · Cited by 1,832
The Role of Excitatory Amino Acids and NMDA Receptors in Traumatic Brain Injury
Faden, A. I., Demediuk, P., Panter, S. S., & Vink, R. (1989) · Science · doi:10.1126/science.2567056 · Cited by 1,508
Clinical trials in head injury
Narayan, R. K., Michel, M. E., Ansell, B., Baethmann, A., Biegon, A., Bracken, M. B., Bullock, M. R., Choi, S. C., Clifton, G. L., Contant, C. F., et al. (2002) · Journal of Neurotrauma · doi:10.1089/089771502753754037 · Cited by 913 · cited 1×
“Reciprocally, pre-clinical designs can be designed to include various dosing strategies, multiple severity levels within a single brain injury model, incorporating secondary insults evident in human TBI, or more than one model of TBI (Narayan et al., 2002).”
Self-citationPatient age and outcome following severe traumatic brain injury: an analysis of 5600 patients
Hukkelhoven, C. W. P. M., Steyerberg, E. W., Rampen, A. J. J., Farace, E., Habbema, J. D. F., Marshall, L. F., Murray, G. D., & Maas, A. I. R. (2003) · Journal of Neurosurgery · doi:10.3171/jns.2003.99.4.0666 · Cited by 641
Pierce, J. E. S., Smith, D. H., Trojanowski, J. Q., & McIntosh, T. K. (1998) · Neuroscience · doi:10.1016/s0306-4522(98)00142-0 · Cited by 385 · cited 9×
“The active, progressive enlargement of the cortical contusion and ventricles after LFP (Smith et al., 1997a; Bramlett et al., 1997b; Pierce et al., 1998) also parallels that seen after human head injury (Shiozaki et al., 2001).”
InfluentialSelf-citationSoares, H., Hicks, R., Smith, D., & McIntosh, T. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-12-08223.1995 · Cited by 379
Self-citationRecent advances in neurotrauma
Graham, D. I., McIntosh, T. K., Maxwell, W. L., & Nicoll, J. A. R. (2000) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/59.8.641 · Cited by 328
Self-citationGlenn, T. C., Kelly, D. F., Boscardin, W. J., McArthur, D. L., Vespa, P., Oertel, M., Hovda, D. A., Bergsneider, M., Hillered, L., & Martin, N. A. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000089833.23606.7f · Cited by 296
Self-citation
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Classification of traumatic brain injury for targeted therapies
Saatman, K. E., Duhaime, A.-C., Bullock, R., Maas, A. I. R., Valadka, A., & Manley, G. T. (2008) · Journal of Neurotrauma · doi:10.1089/neu.2008.0586 · Cited by 1,141
Cernak, I. (2005) · NeuroRX · doi:10.1602/neurorx.2.3.410 · Cited by 462
Experimental models of traumatic brain injury: do we really need to build a better mousetrap?
Morales, D. M., Marklund, N., Lebold, D., Thompson, H. J., Pitkanen, A., Maxwell, W. L., Longhi, L., Laurer, H., Maegele, M., Neugebauer, E., et al. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.08.030 · Cited by 339
Self-citationPathogenesis of Brain Edema and Investigation into Anti-Edema Drugs
Michinaga, S., & Koyama, Y. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms16059949 · Cited by 339
Gao, X., Deng, P., Xu, Z. C., & Chen, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024566 · Cited by 218
Microarray based analysis of microRNA expression in rat cerebral cortex after traumatic brain injury
Lei, P., Li, Y., Chen, X., Yang, S., & Zhang, J. (2009) · Brain Research · doi:10.1016/j.brainres.2009.05.074 · Cited by 193
Sleep-Wake Disturbances After Traumatic Brain Injury: Synthesis of Human and Animal Studies
Sandsmark, D. K., Elliott, J. E., & Lim, M. M. (2017) · Sleep · doi:10.1093/sleep/zsx044 · Cited by 183
Glutamate neurotransmission in rodent models of traumatic brain injury
Dorsett, C. R., McGuire, J. L., DePasquale, E. A. K., Gardner, A. E., Floyd, C. L., & McCullumsmith, R. E. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2015.4373 · Cited by 163
Inflammatory Consequences in a Rodent Model of Mild Traumatic Brain Injury
Perez-Polo, J. R., Rea, H. C., Johnson, K. M., Parsley, M. A., Unabia, G. C., Xu, G., Infante, S. K., DeWitt, D. S., & Hulsebosch, C. E. (2013) · Journal of Neurotrauma · doi:10.1089/neu.2012.2650 · Cited by 96
Skopin, M. D., Kabadi, S. V., Viechweg, S. S., Mong, J. A., & Faden, A. I. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2014.3664 · Cited by 71
Campbell, J. N., Register, D., & Churn, S. B. (2012) · Journal of Neurotrauma · doi:10.1089/neu.2011.1761 · Cited by 70
Elliott, J. E., De Luche, S. E., Churchill, M. J., Moore, C., Cohen, A. S., Meshul, C. K., & Lim, M. M. (2018) · Sleep · doi:10.1093/sleep/zsx212 · Cited by 63
Using anesthetics and analgesics in experimental traumatic brain injury
Rowe, R. K., Harrison, J. L., Thomas, T. C., Pauly, J. R., Adelson, P. D., & Lifshitz, J. (2013) · Lab Animal · doi:10.1038/laban.257 · Cited by 58
Self-citationMechanisms of Dendritic Spine Remodeling in a Rat Model of Traumatic Brain Injury
Campbell, J. N., Low, B., Kurz, J. E., Patel, S. S., Young, M. T., & Churn, S. B. (2012) · Journal of Neurotrauma · doi:10.1089/neu.2011.1762 · Cited by 51
White, E. R., Pinar, C., Bostrom, C. A., Meconi, A., & Christie, B. R. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2016.4638 · Cited by 49
Stress, epilepsy, and psychiatric comorbidity: How can animal models inform the clinic?
Jones, N. C., & O'Brien, T. J. (2013) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.09.002 · Cited by 44
(2012) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52898-8.00004-5 · Cited by 40
Zebrafish model of posttraumatic epilepsy.
Cho, S., Park, E., Telliyan, T., Baker, A., & Reid, A. Y. (2020) · Epilepsia · doi:10.1111/epi.16589 · Cited by 29
Metadata
- Authors
- Thompson, H. J., Lifshitz, J., Marklund, N., Grady, M. S., Graham, D. I., Hovda, D. A., & McIntosh, T. K.
- Venue
- Journal of Neurotrauma
- Publisher
- SAGE Publications
- Published
- 2005-01
- Volume
- 22
- Issue
- 1
- Pages
- 42-75
- ISSN
- 0897-7151 (ISSN-L)
- 1557-9042
- OpenAlex
- W1999934730
- Cited by
- 528
- References
- 17
- FWCI
- 14.12
- Type
- journal article
- Language
- en
- Open access
- closed
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