Framingham coronary heart disease risk score can be predicted from structural brain images in elderly subjects

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dc.contributor Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP RONDINA, Jane Maryam FMUSP-HC
ALVES, Tania Correade Toledo Ferraz FMUSP-HC
FILHO, Geraldo Busatto FMUSP-HC 2014
dc.identifier.citation FRONTIERS IN AGING NEUROSCIENCE, v.6, article ID 300, 14p, 2014
dc.identifier.issn 1663-4365
dc.description.abstract Recent literature has presented evidence that cardiovascular risk factors (CVRF) play an important role on cognitive performance in elderly individuals, both those who are asymptomatic and those who suffer from symptoms of neurodegenerative disorders. Findings from studies applying neuroimaging methods have increasingly reinforced such notion. Studies addressing the impact of CVRF on brain anatomy changes have gained increasing importance, as recent papers have reported gray matter loss predominantly in regions traditionally affected in Alzheimer's disease (AD) and vascular dementia in the presence of a high degree of cardiovascular risk. In the present paper, we explore the association between CVRF and brain changes using pattern recognition techniques applied to structural MRI and the Framingham score (a composite measure of cardiovascular risk largely used in epidemiological studies) in a sample of healthy elderly individuals. We aim to answer the following questions: is it possible to decode (i.e., to learn information regarding cardiovascular risk from structural brain images) enabling individual predictions? Among clinical measures comprising the Framingham score, are there particular risk factors that stand as more predictable from patterns of brain changes? Our main findings are threefold: (i) we verified that structural changes in spatially distributed patterns in the brain enable statistically significant prediction of Framingham scores. This result is still significant when controlling for the presence of the APOE 4 allele (an important genetic risk factor for both AD and cardiovascular disease). (ii) When considering each risk factor singly, we found different levels of correlation between real and predicted factors; however, single factors were not significantly predictable from brain images when considering APOE4 allele presence as covariate. (iii) We found important gender differences, and the possible causes of that finding are discussed.
dc.description.sponsorship · Coordination for the Improvement of Higher Education Personnel (CAPES) [3883-11-6]
· National Council for Scientific and Technological Development (CNPq) [165788/2013-5, 303819/2012-0]
· Sao Paulo Research Foundation (FAPESP) [2012/50239-6, 2013/03231-3, 04/15336-5]
dc.language.iso eng
dc.relation.ispartof Frontiers in Aging Neuroscience
dc.rights openAccess
dc.subject Framingham score; cardiovascular risk factors; magnetic resonance imaging; pattern recognition; multivariate analysis
dc.subject.other mild cognitive impairment; apolipoprotein-e epsilon-4; early alzheimers-disease; voxel-based morphometry; posterior cingulate cortex; midlife blood-pressure; gray-matter volume; cardiovascular risk; apoe epsilon-4; vascular risk
dc.title Framingham coronary heart disease risk score can be predicted from structural brain images in elderly subjects
dc.type article
dc.rights.holder Copyright FRONTIERS RESEARCH FOUNDATION LIM/21 LIM/23 LIM/20 LIM/39
dc.identifier.doi 10.3389/fnagi.2014.00300
dc.identifier.pmid 25520654
dc.type.category original article
dc.type.version publishedVersion RONDINA, Jane Maryam:HC:LIM/21 SQUARZONI, Paula:FM: SOUZA-DURAN, Fabio Luis:HC:LIM/21 TAMASHIRO-DURAN, Jaqueline Hatsuko:HC:LIM/21 SCAZUFCA, Marcia:HC:LIM/23 MENEZES, Paulo Rossi:FM:MPR VALLADA, Homero:FM:MPS LOTUFO, Paulo A.:FM:MCM ALVES, Tania Correade Toledo Ferraz:HC:LIM/21 FILHO, Geraldo Busatto:FM:MPS WOS:000347887200001 2-s2.0-84909599329 LAUSANNE SWITZERLAND
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