Development and validation of language and visuospatial composite scores in ADNI

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Abstract

Introduction

Composite scores may be useful to summarize overall language or visuospatial functioning in studies of older adults.

Methods

We used item response theory to derive composite measures for language (ADNI‐Lan) and visuospatial functioning (ADNI‐VS) from the cognitive battery administered in the Alzheimer's Disease Neuroimaging Initiative (ADNI). We evaluated the scores among groups of people with normal cognition, mild cognitive impairment (MCI), and Alzheimer's disease (AD) in terms of responsiveness to change, association with imaging findings, and ability to differentiate between MCI participants who progressed to AD dementia and those who did not progress.

Results

ADNI‐Lan and ADNI‐VS were able to detect change over time and predict conversion from MCI to AD. They were associated with most of the pre‐specified magnetic resonance imaging measures. ADNI‐Lan had strong associations with a cerebrospinal fluid biomarker pattern.

Discussion

ADNI‐Lan and ADNI‐VS may be useful composites for language and visuospatial functioning in ADNI.

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Most cited references 43

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Author and article information

Contributors

Paul K. Crane: pcrane@uw.edu

Journal

Journal ID (nlm-ta): Alzheimers Dement (N Y)

Journal ID (iso-abbrev): Alzheimers Dement (N Y)

Journal ID (doi): 10.1002/(ISSN)2352-8737

Journal ID (publisher-id): TRC2

Title: Alzheimer's & Dementia : Translational Research & Clinical Interventions

Publisher: John Wiley and Sons Inc. (Hoboken )

ISSN (Electronic): 2352-8737

Publication date (Electronic): 05 December 2020

Publication date Collection: 2020

Volume: 6

Issue: 1 ( doiID: 10.1002/trc2.v6.1 )

Electronic Location Identifier: e12072

Affiliations

[ ¹ ] Department of Medicine University of Washington Seattle Washington USA

[ ² ] Department of Neurology Brown University Providence Rhode Island USA

[ ³ ] Department of Neurology Boston University Boston Massachusetts USA

[ ⁴ ] Department of Psychiatry University of Washington Seattle Washington USA

[ ⁵ ] Puget Sound Veterans Administration Geriatric Research Education and Clinical Center VA Puget Sound Health Care System Seattle Washington USA

[ ⁶ ] Department of Radiology and Alzheimer's Research Center Indiana University Indianapolis Indiana USA

[ ⁷ ] Rush Alzheimer's Disease Center and Department of Behavioral Sciences and Psychiatry Rush University Medical Center Chicago Illinois USA

[ ⁸ ] Department of Psychology City University of New York–Brooklyn New York USA

[ ⁹ ] Department of Psychology City University of New York–Queens College New York USA

[ ¹⁰ ] Alzheimer Center Amsterdam UMC ‐ VU University Medical Center Amsterdam the Netherlands

[ ¹¹ ] Department of Psychology Northwestern University Evanston Illinois USA

[ ¹² ] Department of Neurological Surgery University of Washington Seattle Washington USA

[ ¹³ ] Clinical Memory Research Unit Lund University Lund Sweden

Author notes

[*] [* ] Correspondence

Paul K. Crane, Department of Medicine, University of Washington, Box 359780, 325 Ninth Avenue, Seattle, WA 98104.

E‐mail: pcrane@ 123456uw.edu

[14]

Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf

Article

Publisher ID: TRC212072

DOI: 10.1002/trc2.12072

PMC ID: 7718716

PubMed ID: 33313380

SO-VID: 658d7f41-f7c4-4dce-b993-69fa1ff24840

License:

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

History

Date received : 15 July 2020

Date accepted : 28 July 2020

Page count

Figures: 0, Tables: 6, Pages: 13, Words: 7453

Custom metadata

source-schema-version-number 2.0

cover-date 2020

details-of-publishers-convertor Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.5 mode:remove_FC converted:05.12.2020

Keywords: alzheimer's disease neuroimaging initiative,cognition,language,longitudinal analysis,magnetic resonance imaging,psychometrics,visuospatial functioning

Data availability:

Keywords: alzheimer's disease neuroimaging initiative, cognition, language, longitudinal analysis, magnetic resonance imaging, psychometrics, visuospatial functioning

Development and validation of language and visuospatial composite scores in ADNI

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Abstract

Introduction

Methods

Results

Discussion

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Karger: Neurology and Neuroscience

Most cited references 43

The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

"Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

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