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Characterizing biomarker features of cognitively normal individuals with ventriculomegaly
INTRODUCTION: The clinical significance of ventriculomegaly in cognitively normal elderly individuals remains unclear. METHODS: We selected cognitively normal individuals (n = 425) from the Alzheimer's Disease Neuroimaging Initiative database and calculated Evans index (EI) based on the ratio o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678356/ https://www.ncbi.nlm.nih.gov/pubmed/29159265 http://dx.doi.org/10.1016/j.dadm.2017.08.001 |
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author | Li, Xiaofeng Ba, Maowen Ng, Kok Pin Mathotaarachchi, Sulantha Pascoal, Tharick A. Rosa-Neto, Pedro Gauthier, Serge |
author_facet | Li, Xiaofeng Ba, Maowen Ng, Kok Pin Mathotaarachchi, Sulantha Pascoal, Tharick A. Rosa-Neto, Pedro Gauthier, Serge |
author_sort | Li, Xiaofeng |
collection | PubMed |
description | INTRODUCTION: The clinical significance of ventriculomegaly in cognitively normal elderly individuals remains unclear. METHODS: We selected cognitively normal individuals (n = 425) from the Alzheimer's Disease Neuroimaging Initiative database and calculated Evans index (EI) based on the ratio of the frontal horn and skull diameter. We defined ventriculomegaly as EI ≥ 0.30, and the participants were stratified into EI ≥ 0.30 group and EI < 0.30 group. Neuropsychological, imaging, and fluid biomarker profiles between the two groups were then compared using regression models. RESULTS: A total of 96 (22.5%) individuals who had ventriculomegaly performed worse on the cognitive tests; showed smaller hippocampal volume but larger caudate, cingulate, and paracentral gyrus volumes; and displayed lower positron emission tomography [(18)F]fluorodeoxyglucose standardized uptake value ratio but higher amyloid burden represented by higher [(18)F]florbetapir standardized uptake value ratio and lower cerebrospinal fluid amyloid β 1–42 levels compared to those without ventriculomegaly. DISCUSSION: Asymptomatic ventriculomegaly might be an early imaging signature of preclinical Alzheimer's disease and/or normal pressure hydrocephalus. |
format | Online Article Text |
id | pubmed-5678356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56783562017-11-20 Characterizing biomarker features of cognitively normal individuals with ventriculomegaly Li, Xiaofeng Ba, Maowen Ng, Kok Pin Mathotaarachchi, Sulantha Pascoal, Tharick A. Rosa-Neto, Pedro Gauthier, Serge Alzheimers Dement (Amst) Neuroimaging INTRODUCTION: The clinical significance of ventriculomegaly in cognitively normal elderly individuals remains unclear. METHODS: We selected cognitively normal individuals (n = 425) from the Alzheimer's Disease Neuroimaging Initiative database and calculated Evans index (EI) based on the ratio of the frontal horn and skull diameter. We defined ventriculomegaly as EI ≥ 0.30, and the participants were stratified into EI ≥ 0.30 group and EI < 0.30 group. Neuropsychological, imaging, and fluid biomarker profiles between the two groups were then compared using regression models. RESULTS: A total of 96 (22.5%) individuals who had ventriculomegaly performed worse on the cognitive tests; showed smaller hippocampal volume but larger caudate, cingulate, and paracentral gyrus volumes; and displayed lower positron emission tomography [(18)F]fluorodeoxyglucose standardized uptake value ratio but higher amyloid burden represented by higher [(18)F]florbetapir standardized uptake value ratio and lower cerebrospinal fluid amyloid β 1–42 levels compared to those without ventriculomegaly. DISCUSSION: Asymptomatic ventriculomegaly might be an early imaging signature of preclinical Alzheimer's disease and/or normal pressure hydrocephalus. Elsevier 2017-09-05 /pmc/articles/PMC5678356/ /pubmed/29159265 http://dx.doi.org/10.1016/j.dadm.2017.08.001 Text en © 2017 The Authors 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 | Neuroimaging Li, Xiaofeng Ba, Maowen Ng, Kok Pin Mathotaarachchi, Sulantha Pascoal, Tharick A. Rosa-Neto, Pedro Gauthier, Serge Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title_full | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title_fullStr | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title_full_unstemmed | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title_short | Characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
title_sort | characterizing biomarker features of cognitively normal individuals with ventriculomegaly |
topic | Neuroimaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678356/ https://www.ncbi.nlm.nih.gov/pubmed/29159265 http://dx.doi.org/10.1016/j.dadm.2017.08.001 |
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