Cargando…

Risk Factors and Consequences of Cortical Thickness in an Asian Population

Cortical thickness has been suggested to be one of the most important markers of cortical atrophy. In this study, we examined potential risk factors of cortical thickness and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chine...

Descripción completa

Detalles Bibliográficos
Autores principales: Hilal, Saima, Xin, Xu, Ang, Seow Li, Tan, Chuen Seng, Venketasubramanian, Narayanaswamy, Niessen, Wiro J., Vrooman, Henri, Wong, Tien Yin, Chen, Christopher, Ikram, Mohammad Kamran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4616471/
https://www.ncbi.nlm.nih.gov/pubmed/26061305
http://dx.doi.org/10.1097/MD.0000000000000852
_version_ 1782396641426276352
author Hilal, Saima
Xin, Xu
Ang, Seow Li
Tan, Chuen Seng
Venketasubramanian, Narayanaswamy
Niessen, Wiro J.
Vrooman, Henri
Wong, Tien Yin
Chen, Christopher
Ikram, Mohammad Kamran
author_facet Hilal, Saima
Xin, Xu
Ang, Seow Li
Tan, Chuen Seng
Venketasubramanian, Narayanaswamy
Niessen, Wiro J.
Vrooman, Henri
Wong, Tien Yin
Chen, Christopher
Ikram, Mohammad Kamran
author_sort Hilal, Saima
collection PubMed
description Cortical thickness has been suggested to be one of the most important markers of cortical atrophy. In this study, we examined potential risk factors of cortical thickness and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chinese and Malay patients from the ongoing Epidemiology of Dementia in Singapore (EDIS) Study, who underwent comprehensive examinations including neuropsychological testing and brain magnetic resonance imaging (MRI). Cortical thickness (in micrometers) was measured using a model-based automated procedure. Cognitive function was expressed as composite and domain-specific Z-scores. Cognitive impairment was categorized into cognitive impairment no dementia (CIND)-mild, CIND-moderate, and dementia in accordance with accepted criteria. Linear regression models were used to examine the association between various risk factors and cortical thickness. With respect to cognition as outcome, both linear (for Z-scores) and logistic (for CIND/dementia) regression models were constructed. Initial adjustments were made for age, sex, and education, and subsequently for other cardiovascular risk factors and MRI markers. Out of 572 included patients, 171 (29.9%) were diagnosed with CIND-mild, 197 (34.4%) with CIND-moderate, and 28 (4.9%) with dementia. Risk factors related to a smaller cortical thickness were increased age, male sex, Malay ethnicity, higher blood glucose, and body mass index levels and presence of lacunar infarcts on MRI. Smaller cortical thickness was associated with CIND moderate/dementia [odds ratio (OR) per standard deviation (SD) decrease: 1.70; 95% confidence interval (CI): 1.19–2.44, P = 0.004] and with composite Z-score reflecting global cognitive functioning [mean difference per SD decrease: −0.094; 95% CI: −0.159; −0.030, P = 0.004]. In particular, smaller cortical thicknesses in the occipital and temporal lobes were related to cognitive impairment. Finally, in terms of specific cognitive domains, the most significant associations were found for executive function, visuoconstruction, and visual memory. Smaller cortical thickness is significantly associated with cognitive impairment, suggesting a contribution of diffuse cortical atrophy beyond the medial temporal lobe to cognitive function. These findings suggest that cortical thinning is a biomarker of neurodegenerative changes in the brain not only in dementia, but also in its preclinical stages.
format Online
Article
Text
id pubmed-4616471
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-46164712015-10-27 Risk Factors and Consequences of Cortical Thickness in an Asian Population Hilal, Saima Xin, Xu Ang, Seow Li Tan, Chuen Seng Venketasubramanian, Narayanaswamy Niessen, Wiro J. Vrooman, Henri Wong, Tien Yin Chen, Christopher Ikram, Mohammad Kamran Medicine (Baltimore) 4400 Cortical thickness has been suggested to be one of the most important markers of cortical atrophy. In this study, we examined potential risk factors of cortical thickness and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chinese and Malay patients from the ongoing Epidemiology of Dementia in Singapore (EDIS) Study, who underwent comprehensive examinations including neuropsychological testing and brain magnetic resonance imaging (MRI). Cortical thickness (in micrometers) was measured using a model-based automated procedure. Cognitive function was expressed as composite and domain-specific Z-scores. Cognitive impairment was categorized into cognitive impairment no dementia (CIND)-mild, CIND-moderate, and dementia in accordance with accepted criteria. Linear regression models were used to examine the association between various risk factors and cortical thickness. With respect to cognition as outcome, both linear (for Z-scores) and logistic (for CIND/dementia) regression models were constructed. Initial adjustments were made for age, sex, and education, and subsequently for other cardiovascular risk factors and MRI markers. Out of 572 included patients, 171 (29.9%) were diagnosed with CIND-mild, 197 (34.4%) with CIND-moderate, and 28 (4.9%) with dementia. Risk factors related to a smaller cortical thickness were increased age, male sex, Malay ethnicity, higher blood glucose, and body mass index levels and presence of lacunar infarcts on MRI. Smaller cortical thickness was associated with CIND moderate/dementia [odds ratio (OR) per standard deviation (SD) decrease: 1.70; 95% confidence interval (CI): 1.19–2.44, P = 0.004] and with composite Z-score reflecting global cognitive functioning [mean difference per SD decrease: −0.094; 95% CI: −0.159; −0.030, P = 0.004]. In particular, smaller cortical thicknesses in the occipital and temporal lobes were related to cognitive impairment. Finally, in terms of specific cognitive domains, the most significant associations were found for executive function, visuoconstruction, and visual memory. Smaller cortical thickness is significantly associated with cognitive impairment, suggesting a contribution of diffuse cortical atrophy beyond the medial temporal lobe to cognitive function. These findings suggest that cortical thinning is a biomarker of neurodegenerative changes in the brain not only in dementia, but also in its preclinical stages. Wolters Kluwer Health 2015-06-12 /pmc/articles/PMC4616471/ /pubmed/26061305 http://dx.doi.org/10.1097/MD.0000000000000852 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4400
Hilal, Saima
Xin, Xu
Ang, Seow Li
Tan, Chuen Seng
Venketasubramanian, Narayanaswamy
Niessen, Wiro J.
Vrooman, Henri
Wong, Tien Yin
Chen, Christopher
Ikram, Mohammad Kamran
Risk Factors and Consequences of Cortical Thickness in an Asian Population
title Risk Factors and Consequences of Cortical Thickness in an Asian Population
title_full Risk Factors and Consequences of Cortical Thickness in an Asian Population
title_fullStr Risk Factors and Consequences of Cortical Thickness in an Asian Population
title_full_unstemmed Risk Factors and Consequences of Cortical Thickness in an Asian Population
title_short Risk Factors and Consequences of Cortical Thickness in an Asian Population
title_sort risk factors and consequences of cortical thickness in an asian population
topic 4400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4616471/
https://www.ncbi.nlm.nih.gov/pubmed/26061305
http://dx.doi.org/10.1097/MD.0000000000000852
work_keys_str_mv AT hilalsaima riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT xinxu riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT angseowli riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT tanchuenseng riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT venketasubramaniannarayanaswamy riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT niessenwiroj riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT vroomanhenri riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT wongtienyin riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT chenchristopher riskfactorsandconsequencesofcorticalthicknessinanasianpopulation
AT ikrammohammadkamran riskfactorsandconsequencesofcorticalthicknessinanasianpopulation