Bruno, D and Jauregi Zinkunegi, A (2023) The recency ratio assessed by story recall is associated with cerebrospinal fluid levels of neurodegeneration biomarkers. Cortex, 159. pp. 167-174. ISSN 0010-9452

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Abstract

Recency refers to the information learned at the end of a study list or task. Recency forgetting, as tracked by the ratio between recency recall in immediate and delayed conditions, i.e., the recency ratio (Rr), has been applied to list-learning tasks, demonstrating its efficacy in predicting cognitive decline, conversion to mild cognitive impairment (MCI), and cerebrospinal fluid (CSF) biomarkers of neurodegeneration. However, little is known as to whether Rr can be effectively applied to story recall tasks. To address this question, data were extracted from the database of the Alzheimer’s Disease Research Center at the University of Wisconsin – Madison. A total of 212 participants were included in the study. CSF biomarkers were amyloid-beta (A) 40 and 42, phosphorylated (p) and total (t) tau, neurofilament light (NFL), neurogranin (Ng), and -synuclein (a-syn). Story Recall was measured with the Logical Memory Test (LMT). We carried out Bayesian regression analyses with Rr, and other LMT scores as predictors; and CSF biomarkers (including the A42/40 and p-tau/A42 ratios) as outcomes. Results showed that models including Rr consistently provided best fits with the data, with few exceptions. These findings demonstrate the applicability of Rr to story recall and its sensitivity to CSF biomarkers of neurodegeneration, and encourage its inclusion when evaluating risk of neurodegeneration with story recall.

Item Type:	Article
Uncontrolled Keywords:	1109 Neurosciences; 1701 Psychology; 1702 Cognitive Sciences; Experimental Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Psychology (from Sep 2019)
Publisher:	Elsevier
SWORD Depositor:	A Symplectic
Date Deposited:	09 Dec 2022 11:03
Last Modified:	18 Jan 2023 13:30
DOI or ID number:	10.1016/j.cortex.2022.12.004
URI:	https://researchonline.ljmu.ac.uk/id/eprint/18362

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