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Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative
INTRODUCTION: The potential of intra-individual cognitive variability (IICV) to predict incident mild cognitive impairment (MCI) or Alzheimer's disease (AD) was examined and compared to well-established neuroimaging and genetic predictors. METHODS: IICV was estimated using four neuropsychologic...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961828/ https://www.ncbi.nlm.nih.gov/pubmed/27489880 http://dx.doi.org/10.1016/j.dadm.2016.05.003 |
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author | Anderson, Eric D. Wahoske, Michelle Huber, Mary Norton, Derek Li, Zhanhai Koscik, Rebecca L. Umucu, Emre Johnson, Sterling C. Jones, Jana Asthana, Sanjay Gleason, Carey E. |
author_facet | Anderson, Eric D. Wahoske, Michelle Huber, Mary Norton, Derek Li, Zhanhai Koscik, Rebecca L. Umucu, Emre Johnson, Sterling C. Jones, Jana Asthana, Sanjay Gleason, Carey E. |
author_sort | Anderson, Eric D. |
collection | PubMed |
description | INTRODUCTION: The potential of intra-individual cognitive variability (IICV) to predict incident mild cognitive impairment (MCI) or Alzheimer's disease (AD) was examined and compared to well-established neuroimaging and genetic predictors. METHODS: IICV was estimated using four neuropsychological measures for n = 1324 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants who were cognitively healthy or diagnosed with MCI at baseline. IICV was used to predict time to incident MCI or AD, and compared to hippocampal volume loss and APOE ε4 status via survival analysis. RESULTS: In survival analyses, controlling for age, education, baseline diagonosis, and APOE ε4 status, likelihood ratio tests indicate that IICV is associated with time to cognitive status change in the full sample (P < .0001), and when the sample was restricted to individuals with MCI at baseline (P < .0001). DISCUSSION: These findings suggest IICV may be a low-cost, noninvasive alternative to traditional AD biomarkers. |
format | Online Article Text |
id | pubmed-4961828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-49618282016-08-03 Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative Anderson, Eric D. Wahoske, Michelle Huber, Mary Norton, Derek Li, Zhanhai Koscik, Rebecca L. Umucu, Emre Johnson, Sterling C. Jones, Jana Asthana, Sanjay Gleason, Carey E. Alzheimers Dement (Amst) Cognitive & Behavioral Assessment INTRODUCTION: The potential of intra-individual cognitive variability (IICV) to predict incident mild cognitive impairment (MCI) or Alzheimer's disease (AD) was examined and compared to well-established neuroimaging and genetic predictors. METHODS: IICV was estimated using four neuropsychological measures for n = 1324 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants who were cognitively healthy or diagnosed with MCI at baseline. IICV was used to predict time to incident MCI or AD, and compared to hippocampal volume loss and APOE ε4 status via survival analysis. RESULTS: In survival analyses, controlling for age, education, baseline diagonosis, and APOE ε4 status, likelihood ratio tests indicate that IICV is associated with time to cognitive status change in the full sample (P < .0001), and when the sample was restricted to individuals with MCI at baseline (P < .0001). DISCUSSION: These findings suggest IICV may be a low-cost, noninvasive alternative to traditional AD biomarkers. Elsevier 2016-05-26 /pmc/articles/PMC4961828/ /pubmed/27489880 http://dx.doi.org/10.1016/j.dadm.2016.05.003 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Cognitive & Behavioral Assessment Anderson, Eric D. Wahoske, Michelle Huber, Mary Norton, Derek Li, Zhanhai Koscik, Rebecca L. Umucu, Emre Johnson, Sterling C. Jones, Jana Asthana, Sanjay Gleason, Carey E. Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title | Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title_full | Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title_fullStr | Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title_full_unstemmed | Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title_short | Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative |
title_sort | cognitive variability—a marker for incident mci and ad: an analysis for the alzheimer's disease neuroimaging initiative |
topic | Cognitive & Behavioral Assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4961828/ https://www.ncbi.nlm.nih.gov/pubmed/27489880 http://dx.doi.org/10.1016/j.dadm.2016.05.003 |
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