Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26463
Title: Item-Level Scores on the Boston Naming Test as an Independent Predictor of Perirhinal Volume in Individuals with Mild Cognitive Impairment
Authors: De Marco, M
Bocchetta, M
Venneri, A
Keywords: body–object interaction;Alzheimer’s disease;semantic memory;confrontational naming;;lexical abilities;MRI;neuroimaging
Issue Date: 16-May-2023
Publisher: MDPI
Citation: De Marco, M., Bocchetta, M. and Venneri, A. on behalf of the Alzheimer’s Disease Neuroimaging Initiative (2023) 'Item-Level Scores on the Boston Naming Test as an Independent Predictor of Perirhinal Volume in Individuals with Mild Cognitive Impairment', Brain Sciences, 13 (5), 806, pp.1 - 17. doi: 10.3390/brainsci13050806.
Abstract: Copyright © 2023 by the authors. We explored the methodological value of an item-level scoring procedure applied to the Boston Naming Test (BNT), and the extent to which this scoring approach predicts grey matter (GM) variability in regions that sustain semantic memory. Twenty-seven BNT items administered as part of the Alzheimer’s Disease Neuroimaging Initiative were scored according to their “sensorimotor interaction” (SMI) value. Quantitative scores (i.e., the count of correctly named items) and qualitative scores (i.e., the average of SMI scores for correctly named items) were used as independent predictors of neuroanatomical GM maps in two sub-cohorts of 197 healthy adults and 350 mild cognitive impairment (MCI) participants. Quantitative scores predicted clusters of temporal and mediotemporal GM in both sub-cohorts. After accounting for quantitative scores, the qualitative scores predicted mediotemporal GM clusters in the MCI sub-cohort; clusters extended to the anterior parahippocampal gyrus and encompassed the perirhinal cortex. This was confirmed by a significant yet modest association between qualitative scores and region-of-interest-informed perirhinal volumes extracted post hoc. Item-level scoring of BNT performance provides complementary information to standard quantitative scores. The concurrent use of quantitative and qualitative scores may help profile lexical–semantic access more precisely, and might help detect changes in semantic memory that are typical of early-stage Alzheimer’s disease.
Description: Data Availability Statement: All data are publicly available at https://adni.loni.usc.edu/.
Supplementary Materials: The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/brainsci13050806/s1: Figure S1: Structural covariance maps of mediotemporal regions of interest (ROIs).
URI: https://bura.brunel.ac.uk/handle/2438/26463
DOI: https://doi.org/10.3390/brainsci13050806
Other Identifiers: ORCID iDs: Matteo De Marco https://orcid.org/0000-0003-1814-5024; Martina Bocchetta https://orcid.org/0000-0003-1814-5024; Annalena Venneri https://orcid.org/0000-0002-9488-2301.
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Appears in Collections:Dept of Life Sciences Research Papers

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