Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults

ABSTRACT White matter microstructure can be measured with diffusion tensor imaging (DTI). While increasing age is a predictor of white matter (WM) microstructure changes, roles of other possible modifiers, such as cardiovascular risk factors, APOE &egr;4 allele status and biological sex have not been clarified. We investigated 665 cognitively normal participants from the Baltimore Longitudinal Study of Aging (age 50–95, 56.7% female) with a total of 1384 DTI scans. WM microstructure was assessed by fractional anisotropy (FA) and mean diffusivity (MD). A vascular burden score was defined as the sum of five risk factors (hypertension, obesity, elevated cholesterol, diabetes and smoking status). Linear mixed effects models assessed the association of baseline vascular burden on baseline and on rates of change of FA and MD over a mean follow‐up of 3.6 years, while controlling for age, race, and scanner type. We also compared DTI trajectories in APOE &egr;4 carriers vs. non‐carriers and men vs. women. At baseline, higher vascular burden was associated with lower FA and higher MD in many WM structures including association, commissural, and projection fibers. Higher baseline vascular burden was also associated with greater longitudinal decline in FA in the hippocampal part of the cingulum and the fornix (crus)/stria terminalis and splenium of the corpus callosum, and with greater increases in MD in the splenium of the corpus callosum. APOE &egr;4 carriers did not differ from non‐carriers in baseline DTI metrics but had greater decline in FA in the genu and splenium of the corpus callosum. Men had higher FA and lower MD in multiple WM regions at baseline but showed greater increase in MD in the genu of the corpus callosum. Women showed greater decreases over time in FA in the gyrus part of the cingulum, compared to men. Our findings show that modifiable vascular risk factors (1) have a negative impact on white matter microstructure and (2) are associated with faster microstructural deterioration of temporal WM regions and the splenium of the corpus callosum in cognitively normal adults. Reducing vascular burden in aging could modify the rate of WM deterioration and could decrease age‐related cognitive decline and impairment.

[1]  Evan Fletcher,et al.  Effects of systolic blood pressure on white-matter integrity in young adults in the Framingham Heart Study: a cross-sectional study , 2012, The Lancet Neurology.

[2]  R. Petersen Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[3]  Derek K. Jones,et al.  RESTORE: Robust estimation of tensors by outlier rejection , 2005, Magnetic resonance in medicine.

[4]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[5]  John S. Duncan,et al.  Identical, but not the same: Intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0 T scanners , 2010, NeuroImage.

[6]  Naftali Raz,et al.  Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk , 2009, Brain Research.

[7]  Riitta Parkkola,et al.  Obesity is associated with white matter atrophy: A combined diffusion tensor imaging and voxel‐based morphometric study , 2013, Obesity.

[8]  Andrew R. Bender,et al.  Differential aging of cerebral white matter in middle-aged and older adults: A seven-year follow-up , 2016, NeuroImage.

[9]  C. Caltagirone,et al.  In vivo structural neuroanatomy of corpus callosum in Alzheimer's disease and mild cognitive impairment using different MRI techniques: a review. , 2010, Journal of Alzheimer's disease : JAD.

[10]  James C. Gee,et al.  Spatial transformations of diffusion tensor magnetic resonance images , 2001, IEEE Transactions on Medical Imaging.

[11]  Igor O. Korolev,et al.  Disruption of limbic white matter pathways in mild cognitive impairment and Alzheimer's disease: A DTI/FDG‐PET Study , 2012, Human brain mapping.

[12]  L. Astrakas,et al.  Abnormalities of brain neural circuits related to obesity: A Diffusion Tensor Imaging study. , 2017, Magnetic resonance imaging.

[13]  Daniel C. Alexander,et al.  Camino: Open-Source Diffusion-MRI Reconstruction and Processing , 2006 .

[14]  A. Leemans,et al.  Microstructural White Matter Abnormalities and Cognitive Functioning in Type 2 Diabetes , 2012, Diabetes Care.

[15]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[16]  Sudha Seshadri,et al.  Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline , 2011, Alzheimer's & Dementia.

[17]  Bennett A. Landman,et al.  Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging , 2013, PloS one.

[18]  Osamu Abe,et al.  White Matter Alteration in Metabolic Syndrome , 2013, Diabetes Care.

[19]  C. Jack,et al.  Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging☆ , 2013, NeuroImage: Clinical.

[20]  E. Bigler,et al.  Dementia, quantitative neuroimaging, and apolipoprotein E genotype. , 2000, AJNR. American journal of neuroradiology.

[21]  M. Belke,et al.  Men and women are different: Diffusion tensor imaging reveals sexual dimorphism in the microstructure of the thalamus, corpus callosum and cingulum , 2011, NeuroImage.

[22]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[23]  P. Wolf,et al.  Heart disease and stroke statistics--2006 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. , 2006, Circulation.

[24]  Anderson M. Winkler,et al.  Default mode network activity and white matter integrity in healthy middle-aged ApoE4 carriers , 2012, Brain Imaging and Behavior.

[25]  J. Williamson,et al.  A RANDOMIZED TRIAL OF INTENSIVE VERSUS STANDARD SYSTOLIC BLOOD PRESSURE CONTROL AND THE RISK OF MILD COGNITIVE IMPAIRMENT AND DEMENTIA: RESULTS FROM SPRINT MIND , 2018, Alzheimer's & Dementia.

[26]  C. Junqué,et al.  Microstructural white matter changes in metabolic syndrome , 2009, Neurology.

[27]  R. Morris,et al.  Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline , 2009, Journal of Neurology, Neurosurgery & Psychiatry.

[28]  Ilya M. Nasrallah A RANDOMIZED TRIAL OF INTENSIVE VERSUS STANDARD SYSTOLIC BLOOD PRESSURE CONTROL ON BRAIN STRUCTURE: RESULTS FROM SPRINT MIND MRI , 2018, Alzheimer's & Dementia.

[29]  Susan M Resnick,et al.  The effect of age and microstructural white matter integrity on lap time variation and fast-paced walking speed , 2015, Brain Imaging and Behavior.

[30]  Kaarin J Anstey,et al.  Total and regional gray matter volume is not related to APOE*E4 status in a community sample of middle-aged individuals. , 2008, The journals of gerontology. Series A, Biological sciences and medical sciences.

[31]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[32]  Wiro J Niessen,et al.  White Matter Degeneration with Aging: Longitudinal Diffusion MR Imaging Analysis. , 2016, Radiology.

[33]  I. Rossman,et al.  Normal Human Aging: The Baltimore Longitudinal Study of Aging , 1986 .

[34]  A Hofman,et al.  Hippocampal, amygdalar, and global brain atrophy in different apolipoprotein E genotypes , 2002, Neurology.

[35]  Andrew R. Bender,et al.  Normal-appearing cerebral white matter in healthy adults: mean change over 2 years and individual differences in change , 2015, Neurobiology of Aging.

[36]  A. Pfefferbaum,et al.  Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain , 2003, Journal of magnetic resonance imaging : JMRI.

[37]  A. Rahmim,et al.  Association Between Midlife Vascular Risk Factors and Estimated Brain Amyloid Deposition , 2017, JAMA.

[38]  Thomas R. Barrick,et al.  White matter structural decline in normal ageing: A prospective longitudinal study using tract-based spatial statistics , 2010, NeuroImage.

[39]  Jung-Lung Hsu,et al.  Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study , 2012, NeuroImage.

[40]  M. Keshavan,et al.  Sex differences in brain maturation during childhood and adolescence. , 2001, Cerebral cortex.

[41]  L S Honig,et al.  Aggregation of vascular risk factors and risk of incident Alzheimer disease , 2005, Neurology.

[42]  Paul M. Thompson,et al.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence , 2007, NeuroImage.

[43]  Charles DeCarli,et al.  APOE-ε4 is associated with less frontal and more medial temporal lobe atrophy in AD , 1999, Neurology.

[44]  Vasileios-Arsenios Lioutas,et al.  White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. , 2018, Metabolism: clinical and experimental.

[45]  João F. Henriques,et al.  SPATIAL TRANSFORMATIONS , 2017 .

[46]  Meir J Stampfer,et al.  Meta-Analysis: Apolipoprotein E Genotypes and Risk for Coronary Heart Disease , 2004, Annals of Internal Medicine.

[47]  David Bonekamp,et al.  Diffusion tensor imaging in children and adolescents: Reproducibility, hemispheric, and age-related differences , 2007, NeuroImage.

[48]  Evan Fletcher,et al.  CEREBRAL TRACT INTEGRITY RELATES TO WHITE MATTER HYPERINTENSITIES, CORTEX VOLUME, AND COGNITION , 2018, Alzheimer's & Dementia.

[49]  H. Soininen,et al.  Changes in Vascular Risk Factors from Midlife to Late Life and White Matter Lesions: A 20-Year Follow-Up Study , 2011, Dementia and Geriatric Cognitive Disorders.

[50]  Vijay K. Venkatraman,et al.  Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths , 2015, NeuroImage.

[51]  Sterling C. Johnson,et al.  White Matter in Aging and Cognition: A Cross-Sectional Study of Microstructure in Adults Aged Eighteen to Eighty-Three , 2010, Developmental neuropsychology.

[52]  Takayuki Obata,et al.  Age-related degeneration of corpus callosum measured with diffusion tensor imaging , 2006, NeuroImage.

[53]  Marek Kubicki,et al.  Cerebral White Matter Integrity and Resting-State Functional Connectivity in Middle-aged Patients With Type 2 Diabetes , 2014, Diabetes.

[54]  Jerson Laks,et al.  Diffusion tensor imaging studies in vascular disease , 2012 .

[55]  R. Honea,et al.  Impact of APOE on the healthy aging brain: a voxel-based MRI and DTI study. , 2009, Journal of Alzheimer's disease : JAD.

[56]  Bram Stieltjes,et al.  Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. , 2010, Journal of Alzheimer's disease : JAD.

[57]  David H. Salat,et al.  Inter-individual variation in blood pressure is associated with regional white matter integrity in generally healthy older adults , 2012, NeuroImage.

[58]  Jerson Laks,et al.  Diffusion tensor imaging studies in vascular disease: A review of the literature , 2012, Dementia & neuropsychologia.

[59]  Christine Fennema-Notestine,et al.  Hypertension-Related Alterations in White Matter Microstructure Detectable in Middle Age , 2015, Hypertension.

[60]  N. Raz,et al.  Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed , 2009, Neuropsychologia.

[61]  A. Malhotra,et al.  Sex differences in frontal lobe white matter microstructure: a DTI study , 2003, Neuroreport.

[62]  J. Staals,et al.  Framingham Stroke Risk Profile is related to cerebral small vessel disease progression and lower cognitive performance in patients with hypertension , 2018, Journal of clinical hypertension.

[63]  David Arenberg,et al.  Normal Human Aging: The Baltimore Longitudinal Study on Aging , 1984 .

[64]  M. O’Sullivan,et al.  White matter damage on diffusion tensor imaging correlates with age-related cognitive decline , 2006, Neurology.

[65]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[66]  Daniel Levy,et al.  Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: Part I: aging arteries: a "set up" for vascular disease. , 2003, Circulation.

[67]  In Chan Song,et al.  Tractography-guided statistics (TGIS) in diffusion tensor imaging for the detection of gender difference of fiber integrity in the midsagittal and parasagittal corpora callosa , 2007, NeuroImage.

[68]  H Takao,et al.  Effects of Age and Gender on White Matter Integrity , 2011, American Journal of Neuroradiology.

[69]  D. Shibata,et al.  Vascular risk factors and longitudinal changes on brain MRI , 2011, Neurology.

[70]  Victoria J. Williams,et al.  Interindividual variation in serum cholesterol is associated with regional white matter tissue integrity in older adults , 2013, Human brain mapping.

[71]  Alain Pitiot,et al.  Growth of White Matter in the Adolescent Brain: Role of Testosterone and Androgen Receptor , 2008, The Journal of Neuroscience.

[72]  Michael I. Miller,et al.  Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer’s disease , 2012, Alzheimer's & Dementia.

[73]  H. Johansen-Berg,et al.  Accelerated Changes in White Matter Microstructure during Aging: A Longitudinal Diffusion Tensor Imaging Study , 2014, The Journal of Neuroscience.

[74]  P. Basser,et al.  Diffusion tensor MR imaging of the human brain. , 1996, Radiology.

[75]  Daniel Bandy,et al.  Hippocampal volumes in cognitively normal persons at genetic risk for Alzheimer's disease , 1998, Annals of neurology.

[76]  Bonnie J Nagel,et al.  The impact of sex, puberty, and hormones on white matter microstructure in adolescents. , 2012, Cerebral cortex.

[77]  Owen Carmichael,et al.  Regional pattern of white matter microstructural changes in normal aging, MCI, and AD , 2009, Neurology.