Journal Article

DZNE-2023-00672

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Grid cell disruption in a mouse model of early Alzheimer's disease reflects reduced integration of self-motion cues.

Ying, J. ; Reboreda, A.DZNE* ; Yoshida, M.DZNE* ; Brandon, M. P.

2023
Current Biology Ltd. London

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Please use a persistent id in citations: doi:10.1016/j.cub.2023.04.065

Abstract: Converging evidence from human and rodent studies suggests that disrupted grid cell coding in the medial entorhinal cortex (MEC) underlies path integration behavioral deficits during early Alzheimer's disease (AD). However, grid cell firing relies on both self-motion cues and environmental features, and it remains unclear whether disrupted grid coding can account for specific path integration deficits reported during early AD. Here, we report in the J20 transgenic amyloid beta (Aβ) mouse model of early AD that grid cells were spatially unstable toward the center of the arena, had qualitatively different spatial components that aligned parallel to the borders of the environment, and exhibited impaired integration of distance traveled via reduced theta phase precession. Our results suggest that disrupted early AD grid coding reflects reduced integration of self-motion cues but not environmental information via geometric boundaries, providing evidence that grid cell impairments underlie path integration deficits during early AD.

Keyword(s): Humans (MeSH) ; Mice (MeSH) ; Animals (MeSH) ; Cues (MeSH) ; Alzheimer Disease: genetics (MeSH) ; Amyloid beta-Peptides (MeSH) ; Mice, Transgenic (MeSH) ; Disease Models, Animal (MeSH) ; Entorhinal Cortex (MeSH) ; Action Potentials (MeSH) ; Alzheimer’s disease ; Alzheimer’s disease ; Alzheimer’s disease ; Alzheimer’s disease ; Fourier analysis ; amyloid beta ; environmental geometry ; grid cells ; medial entorhinal cortex ; path integration ; spatial navigation ; spatial stability ; theta phase precession ; Amyloid beta-Peptides

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Contributing Institute(s):

1. Cognitive Neurophysiology (AG Yoshida)

Research Program(s):

1. 351 - Brain Function (POF4-351) (POF4-351)

Appears in the scientific report 2023

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record

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