Chapter title |
Assessment of Cognitive Function in the Water Maze Task: Maximizing Data Collection and Analysis in Animal Models of Brain Injury.
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Chapter number | 30 |
Book title |
Injury Models of the Central Nervous System
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Published in |
Methods in molecular biology, January 2016
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DOI | 10.1007/978-1-4939-3816-2_30 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3814-8, 978-1-4939-3816-2
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Authors |
Mark D. Whiting Ph.D., Olga N. Kokiko-Cochran, Whiting, Mark D, Kokiko-Cochran, Olga N, Mark D. Whiting |
Editors |
Firas H. Kobeissy, C. Edward Dixon, Ronald L. Hayes, Stefania Mondello |
Abstract |
Animal models play a critical role in understanding the biomechanical, pathophysiological, and behavioral consequences of traumatic brain injury (TBI). In preclinical studies, cognitive impairment induced by TBI is often assessed using the Morris water maze (MWM). Frequently described as a hippocampally dependent spatial navigation task, the MWM is a highly integrative behavioral task that requires intact functioning in numerous brain regions and involves an interdependent set of mnemonic and non-mnemonic processes. In this chapter, we review the special considerations involved in using the MWM in animal models of TBI, with an emphasis on maximizing the degree of information extracted from performance data. We include a theoretical framework for examining deficits in discrete stages of cognitive function and offer suggestions for how to make inferences regarding the specific nature of TBI-induced cognitive impairment. The ultimate goal is more precise modeling of the animal equivalents of the cognitive deficits seen in human TBI. |
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United States | 1 | 100% |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 31% |
Researcher | 2 | 15% |
Student > Doctoral Student | 2 | 15% |
Other | 1 | 8% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
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Neuroscience | 6 | 46% |
Psychology | 2 | 15% |
Unknown | 5 | 38% |