Literature DB >> 32469308

Hippocampal and cortical mechanisms at retrieval explain variability in episodic remembering in older adults.

Alexandra N Trelle1, Valerie A Carr1, Scott A Guerin1, Monica K Thieu1, Manasi Jayakumar1, Wanjia Guo1, Ayesha Nadiadwala1, Nicole K Corso1, Madison P Hunt1, Celia P Litovsky1, Natalie J Tanner1, Gayle K Deutsch2, Jeffrey D Bernstein1, Marc B Harrison1, Anna M Khazenzon1, Jiefeng Jiang1, Sharon J Sha2, Carolyn A Fredericks2, Brian K Rutt3, Elizabeth C Mormino2, Geoffrey A Kerchner2, Anthony D Wagner1.   

Abstract

Age-related episodic memory decline is characterized by striking heterogeneity across individuals. Hippocampal pattern completion is a fundamental process supporting episodic memory. Yet, the degree to which this mechanism is impaired with age, and contributes to variability in episodic memory, remains unclear. We combine univariate and multivariate analyses of fMRI data from a large cohort of cognitively normal older adults (N=100) to measure hippocampal activity and cortical reinstatement during retrieval of trial-unique associations. Trial-wise analyses revealed that (a) hippocampal activity scaled with reinstatement strength, (b) cortical reinstatement partially mediated the relationship between hippocampal activity and associative retrieval, (c) older age weakened cortical reinstatement and its relationship to memory behaviour. Moreover, individual differences in the strength of hippocampal activity and cortical reinstatement explained unique variance in performance across multiple assays of episodic memory. These results indicate that fMRI indices of hippocampal pattern completion explain within- and across-individual memory variability in older adults.
© 2020, Trelle et al.

Entities:  

Keywords:  aging; cortical reinstatement; episodic memory; functional magnetic resonance imaging; hippocampus; human; neuroscience; pattern completion

Mesh:

Year:  2020        PMID: 32469308      PMCID: PMC7259949          DOI: 10.7554/eLife.55335

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


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