Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia
Abstract Introduction The NIH Toolbox Cognition Battery (NIHTB‐CB) is a computer‐based protocol not yet validated for clinical assessment. Methods We administered the NIHTB‐CB and traditional neuropsychological tests to 247 Memory Disorders and Alzheimer's Prevention Clinic patients with subjec...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
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Online Access: | https://doi.org/10.1016/j.dadm.2018.10.002 |
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author | Katherine Hackett Robert Krikorian Tania Giovannetti Josefina Melendez‐Cabrero Aneela Rahman Emily E. Caesar Jaclyn L. Chen Hollie Hristov Alon Seifan Lisa Mosconi Richard S. Isaacson |
author_facet | Katherine Hackett Robert Krikorian Tania Giovannetti Josefina Melendez‐Cabrero Aneela Rahman Emily E. Caesar Jaclyn L. Chen Hollie Hristov Alon Seifan Lisa Mosconi Richard S. Isaacson |
author_sort | Katherine Hackett |
collection | DOAJ |
description | Abstract Introduction The NIH Toolbox Cognition Battery (NIHTB‐CB) is a computer‐based protocol not yet validated for clinical assessment. Methods We administered the NIHTB‐CB and traditional neuropsychological tests to 247 Memory Disorders and Alzheimer's Prevention Clinic patients with subjective cognitive decline, mild cognitive impairment, mild dementia due to Alzheimer's disease, and normal cognition. Principal component analysis, partial correlations, and univariate general linear model tests were performed to assess construct validity. Discriminant function analyses compared classification accuracy. Results Principal component analysis identified three conceptually coherent factors: memory (MEMNIH), executive function (EFNIH), and crystallized intelligence (CINIH). These factors were strongly associated with corresponding traditional tests and differed across diagnostic groups as expected. Both NIHTB and traditional batteries yielded strong overall discriminative ability (>80%). Discussion The NIHTB‐CB is a valid method to assess neurocognitive domains pertinent to aging and dementia and has utility for applications in a memory clinic setting. |
first_indexed | 2024-12-12T18:11:55Z |
format | Article |
id | doaj.art-ea659fbad8d74734af55623317b01185 |
institution | Directory Open Access Journal |
issn | 2352-8729 |
language | English |
last_indexed | 2024-12-12T18:11:55Z |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
spelling | doaj.art-ea659fbad8d74734af55623317b011852022-12-22T00:16:22ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292018-01-0110176477210.1016/j.dadm.2018.10.002Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementiaKatherine Hackett0Robert Krikorian1Tania Giovannetti2Josefina Melendez‐Cabrero3Aneela Rahman4Emily E. Caesar5Jaclyn L. Chen6Hollie Hristov7Alon Seifan8Lisa Mosconi9Richard S. Isaacson10Department of PsychologyTemple UniversityPhiladelphiaPAUSADepartment of Psychiatry and Behavioral NeuroscienceUniversity of Cincinnati College of MedicineCincinnatiOHUSADepartment of PsychologyTemple UniversityPhiladelphiaPAUSADepartment of NeurologyWeill Cornell MedicineSan JuanPRUSADepartment of NeurologyWeill Cornell Medicine and NewYork‐PresbyterianNew YorkNYUSALoyola‐Stritch School of MedicineChicagoILUSAStony Brook University School of MedicineNew YorkNYUSADepartment of NeurologyWeill Cornell Medicine and NewYork‐PresbyterianNew YorkNYUSACompass Health SystemsMiamiFLUSADepartment of NeurologyWeill Cornell Medicine and NewYork‐PresbyterianNew YorkNYUSADepartment of NeurologyWeill Cornell Medicine and NewYork‐PresbyterianNew YorkNYUSAAbstract Introduction The NIH Toolbox Cognition Battery (NIHTB‐CB) is a computer‐based protocol not yet validated for clinical assessment. Methods We administered the NIHTB‐CB and traditional neuropsychological tests to 247 Memory Disorders and Alzheimer's Prevention Clinic patients with subjective cognitive decline, mild cognitive impairment, mild dementia due to Alzheimer's disease, and normal cognition. Principal component analysis, partial correlations, and univariate general linear model tests were performed to assess construct validity. Discriminant function analyses compared classification accuracy. Results Principal component analysis identified three conceptually coherent factors: memory (MEMNIH), executive function (EFNIH), and crystallized intelligence (CINIH). These factors were strongly associated with corresponding traditional tests and differed across diagnostic groups as expected. Both NIHTB and traditional batteries yielded strong overall discriminative ability (>80%). Discussion The NIHTB‐CB is a valid method to assess neurocognitive domains pertinent to aging and dementia and has utility for applications in a memory clinic setting.https://doi.org/10.1016/j.dadm.2018.10.002NeuropsychologyClinical assessmentValidationDementiaMemoryTechnology |
spellingShingle | Katherine Hackett Robert Krikorian Tania Giovannetti Josefina Melendez‐Cabrero Aneela Rahman Emily E. Caesar Jaclyn L. Chen Hollie Hristov Alon Seifan Lisa Mosconi Richard S. Isaacson Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring Neuropsychology Clinical assessment Validation Dementia Memory Technology |
title | Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia |
title_full | Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia |
title_fullStr | Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia |
title_full_unstemmed | Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia |
title_short | Utility of the NIH Toolbox for assessment of prodromal Alzheimer's disease and dementia |
title_sort | utility of the nih toolbox for assessment of prodromal alzheimer s disease and dementia |
topic | Neuropsychology Clinical assessment Validation Dementia Memory Technology |
url | https://doi.org/10.1016/j.dadm.2018.10.002 |
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