Title |
Experimental traumatic brain injury
|
---|---|
Published in |
Experimental & Translational Stroke Medicine, August 2010
|
DOI | 10.1186/2040-7378-2-16 |
Pubmed ID | |
Authors |
Christiane Albert-Weissenberger, Anna-Leena Sirén |
Abstract |
Traumatic brain injury, a leading cause of death and disability, is a result of an outside force causing mechanical disruption of brain tissue and delayed pathogenic events which collectively exacerbate the injury. These pathogenic injury processes are poorly understood and accordingly no effective neuroprotective treatment is available so far. Experimental models are essential for further clarification of the highly complex pathology of traumatic brain injury towards the development of novel treatments. Among the rodent models of traumatic brain injury the most commonly used are the weight-drop, the fluid percussion, and the cortical contusion injury models. As the entire spectrum of events that might occur in traumatic brain injury cannot be covered by one single rodent model, the design and choice of a specific model represents a major challenge for neuroscientists. This review summarizes and evaluates the strengths and weaknesses of the currently available rodent models for traumatic brain injury. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
Switzerland | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Finland | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 199 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 23% |
Researcher | 38 | 18% |
Student > Master | 28 | 14% |
Student > Bachelor | 19 | 9% |
Student > Doctoral Student | 12 | 6% |
Other | 32 | 15% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 20% |
Agricultural and Biological Sciences | 36 | 17% |
Neuroscience | 34 | 16% |
Engineering | 16 | 8% |
Psychology | 12 | 6% |
Other | 30 | 14% |
Unknown | 38 | 18% |