The water maze paradigm in experimental studies of chronic cognitive disorders: Theory, protocols, analysis, and inference. (September 2016)

• Record Type: Journal Article
• Authors: Kapadia, Minesh; Xu, Josie; Sakic, Boris
• Is Part Of: Neuroscience and biobehavioral reviews. Volume 68(2016)
• Page Start: 195
• Page End: 217
• Publication Date: 2016-09
• Subjects: AD Alzheimer's disease -- ANOVA analysis of variance -- NMDAR N-methyl-d-aspartate receptor -- WM water maze; Cognitive neuroscience -- Spatial learning and memory -- Water maze -- Video tracking -- Multivariate analysis -- Disease models; Psychophysiology -- Periodicals; Human behavior -- Periodicals; Animal behavior -- Periodicals; Neurology -- Periodicals; Behavior -- Periodicals; Ethology -- Periodicals; Neurology -- Periodicals; Psychophysiologie -- Périodiques; Comportement humain -- Périodiques; Animaux -- Mœurs et comportement -- Périodiques; Neurologie -- Périodiques; Animal behavior; Human behavior; Neurology; Psychophysiology; Periodicals; Electronic journals; 573.8
• DOI: 10.1016/j.neubiorev.2016.05.016
• Languages: English
• ISSNs: 0149-7634

Abstract

Highlights: There is continuous development of animal models of chronic cognitive disorders. The water maze (WM) is a popular paradigm in documenting face validity of a new model. Incomplete understanding of WM complexity may compromise merit of current and future models. We provide guidelines for more careful design, data analysis, and more objective interpretations. Abstract: An instrumental step in assessing the validity of animal models of chronic cognitive disorders is to document disease-related deficits in learning/memory capacity. The water maze (WM) is a popular paradigm because of its low cost, relatively simple protocol and short procedure time. Despite being broadly accepted as a spatial learning task, inference of generalized, bona fide "cognitive" dysfunction can be challenging because task accomplishment is also reliant on non-cognitive processes. We review theoretical background, testing procedures, confounding factors, as well as approaches to data analysis and interpretation. We also describe an extended protocol that has proven useful in detecting early performance deficits in murine models of neuropsychiatric lupus and Alzheimer's disease. Lastly, we highlight the need for standardization of inferential criteria on "cognitive" dysfunction in experimental rodents and exclusion of preparations of a limited scientific merit. A deeper appreciation for the multifactorial nature of performance in WM may also help to reveal other deficits that herald the onset of neurodegenerative brain disorders.