Literature DB >> 33050976

Worth the Wait: Delayed Recall after 1 Week Predicts Cognitive and Medial Temporal Lobe Trajectories in Older Adults.

Cutter A Lindbergh1, Nicole Walker1, Renaud La Joie1, Sophia Weiner-Light1, Adam M Staffaroni1, Kaitlin B Casaletto1, Fanny Elahi1, Samantha M Walters1, Michelle You1, Devyn Cotter1, Breton Asken1, Alexandra C Apple1, Elena Tsoy1, John Neuhaus2, Corrina Fonseca1, Amy Wolf1, Yann Cobigo1, Howie Rosen1, Joel H Kramer1.   

Abstract

METHOD: Clinically normal older adults (52-92 years old) were followed longitudinally for up to 8 years after completing a memory paradigm at baseline [Story Recall Test (SRT)] that assessed delayed recall at 30 min and 1 week. Subsets of the cohort underwent neuroimaging (N = 134, mean age = 75) and neuropsychological testing (N = 178-207, mean ages = 74-76) at annual study visits occurring approximately 15-18 months apart. Mixed-effects regression models evaluated if baseline SRT performance predicted longitudinal changes in gray matter volumes and cognitive composite scores, controlling for demographics.
RESULTS: Worse SRT 1-week recall was associated with more precipitous rates of longitudinal decline in medial temporal lobe volumes (p = .037), episodic memory (p = .003), and executive functioning (p = .011), but not occipital lobe or total gray matter volumes (demonstrating neuroanatomical specificity; p > .58). By contrast, SRT 30-min recall was only associated with longitudinal decline in executive functioning (p = .044).
CONCLUSIONS: Memory paradigms that capture longer-term recall may be particularly sensitive to age-related medial temporal lobe changes and neurodegenerative disease trajectories. (JINS, 2020, xx, xx-xx).

Entities:  

Keywords:  Alzheimer’s disease; Cognitive aging; Early diagnosis; Episodic memory; Learning; Temporal lobe

Year:  2020        PMID: 33050976      PMCID: PMC8026481          DOI: 10.1017/S1355617720001009

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


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Authors:  Philip S J Weston; Jennifer M Nicholas; Susie M D Henley; Yuying Liang; Kirsty Macpherson; Elizabeth Donnachie; Jonathan M Schott; Martin N Rossor; Sebastian J Crutch; Christopher R Butler; Adam Z Zeman; Nick C Fox
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