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Grid Cell Firing Pattern Degradation and Path Integration Errors in Aging: Single-Unit Recordings in the Entorhinal Cortex of Young and Aged Fischer 344 Rats

Grid Cell Firing Pattern Degradation and Path Integration Errors in Aging: Single-Unit Recordings in the Entorhinal Cortex of Young and Aged Fischer 344 Rats

Publisher : PJPCR
Author(s)
Elise M. Fontaine; Riku T. Nakano; Olu K. Adeyemi
Abstract

This study investigates age-related degradation of entorhinal cortex grid cell spatial periodicity, firing field regularity, and path integration accuracy in young versus aged Fischer 344 rats on open-field and maze navigation tasks within the context of systems neuroscience and cognitive aging, an area of growing scientific importance given its implications for MEC-targeted intervention assessment for spatial navigation in aging, grid cell-based Alzheimer biomarker research, and attractor network computational model validation. Using chronic tetrode recording in MEC during 20-min open-field sessions, spike sorting, grid score computation (rotational correlation), firing field size and spacing analysis, and path integration accuracy on linear track with variable reward location task, we examine age-related reduction in persistent Na+ current and reduced lateral inhibition in MEC stellate cells degrading attractor network dynamics that generate hexagonally symmetric grid fields, producing lower grid score, enlarged fields, and reduced inter-field spacing regularity — impairing downstream hippocampal spatial coding and path integration in 16 young (4-6 months) and 16 aged (22-24 months) male Fischer 344 rats with MEC tetrode implants, 284 well-isolated single units (168 young, 116 aged) including 84 grid cells (52 young, 32 aged) drawn from Pacific Neuroscience Institute rodent behavioral facility with 1 m x 1 m open field, 2.4 m linear track, and Axona dacqUSB recording system at 48 kHz. Results indicate that aged rats show significantly reduced mean grid score (0.48 vs. 0.84 in young, p<0.001), enlarged firing fields (184 vs. 84 cm2, p<0.001), and 2.4x higher inter-field spacing CV; path integration error at 180 cm is 28.4 cm in aged vs. 8.4 cm in young (3.4x, p<0.001) (p < 0.001), with grid score 0.48 vs. 0.84; field size 184 vs. 84 cm2; path integration error 3.4x larger in aged as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to systems neuroscience and cognitive aging and carry actionable implications for the design of programs and policies targeting MEC-targeted intervention assessment for spatial navigation in aging, grid cell-based Alzheimer biomarker research, and attractor network computational model validation.

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Princeton, New Jersey, United States
Published and Managed by The Princeton Journal of Precollegiate Scholarship Inc.
ISSN: 3143-8423
DOI: 10.67698

Copyright © Princeton Journal of Pre-Collegiate Research. All rights reserved

PJPCR is independently operated and is not affiliated with Princeton University or any of its colleges, departments or programs.

Princeton, New Jersey, United States
Published and Managed by The Princeton Journal of Precollegiate Scholarship Inc.
ISSN: 3143-8423
DOI: 10.67698

Copyright © Princeton Journal of Pre-Collegiate Research. All rights reserved

PJPCR is independently operated and is not affiliated with Princeton University or any of its colleges, departments or programs.

Princeton, New Jersey, United States
Published and Managed by The Princeton Journal of Precollegiate Scholarship Inc.
ISSN: 3143-8423
DOI: 10.67698

Copyright © Princeton Journal of Pre-Collegiate Research. All rights reserved

PJPCR is independently operated and is not affiliated with Princeton University or any of its colleges, departments or programs.