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Usage Information

Cross-species translation of the Morris maze for Alzheimer’s disease
Katherine L. Possin, Pascal E. Sanchez, Clifford Anderson-Bergman, Roland Fernandez, Geoffrey A. Kerchner, Erica T. Johnson, Allyson Davis, Iris Lo, Nicholas T. Bott, Thomas Kiely, Michelle C. Fenesy, Bruce L. Miller, Joel H. Kramer, Steven Finkbeiner
Katherine L. Possin, Pascal E. Sanchez, Clifford Anderson-Bergman, Roland Fernandez, Geoffrey A. Kerchner, Erica T. Johnson, Allyson Davis, Iris Lo, Nicholas T. Bott, Thomas Kiely, Michelle C. Fenesy, Bruce L. Miller, Joel H. Kramer, Steven Finkbeiner
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Concise Communication Neuroscience

Cross-species translation of the Morris maze for Alzheimer’s disease

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Abstract

Analogous behavioral assays are needed across animal models and human patients to improve translational research. Here, we examined the extent to which performance in the Morris water maze — the most frequently used behavioral assay of spatial learning and memory in rodents — translates to humans. We designed a virtual version of the assay for human subjects that includes the visible-target training, hidden-target learning, and probe trials that are typically administered in the mouse version. We compared transgenic mice that express human amyloid precursor protein (hAPP) and patients with mild cognitive impairment due to Alzheimer’s disease (MCI-AD) to evaluate the sensitivity of performance measures in detecting deficits. Patients performed normally during visible-target training, while hAPP mice showed procedural learning deficits. In hidden-target learning and probe trials, hAPP mice and MCI-AD patients showed similar deficits in learning and remembering the target location. In addition, we have provided recommendations for selecting performance measures and sample sizes to make these assays sensitive to learning and memory deficits in humans with MCI-AD and in mouse models. Together, our results demonstrate that with careful study design and analysis, the Morris maze is a sensitive assay for detecting AD-relevant impairments across species.

Authors

Katherine L. Possin, Pascal E. Sanchez, Clifford Anderson-Bergman, Roland Fernandez, Geoffrey A. Kerchner, Erica T. Johnson, Allyson Davis, Iris Lo, Nicholas T. Bott, Thomas Kiely, Michelle C. Fenesy, Bruce L. Miller, Joel H. Kramer, Steven Finkbeiner

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Usage data is cumulative from May 2025 through May 2026.

Usage JCI PMC
Text version 1,445 77
PDF 228 18
Figure 288 4
Table 101 0
Supplemental data 255 5
Citation downloads 160 0
Totals 2,477 104
Total Views 2,581
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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