Subgroup of ADNI normal controls characterized by atrophy and cognitive decline associated with vascular damage.

Previous work examining Alzheimer's Disease Neuroimaging Initiative (ADNI) normal controls using cluster analysis identified a subgroup characterized by substantial brain atrophy and white matter hyperintensities (WMH). We hypothesized that these effects could be related to vascular damage. Fifty-three individuals in the suspected vascular cluster (Normal 2) were compared with 31 individuals from the cluster characterized as healthy/typical (Normal 1) on a variety of outcomes, including magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) biomarkers, vascular risk factors and outcomes, cognitive trajectory, and medications for vascular conditions. Normal 2 was significantly older but did not differ on ApoE4+ prevalence. Normal 2 differed significantly from Normal 1 on all MRI measures but not on Amyloid-Beta1-42 or total tau protein. Normal 2 had significantly higher body mass index (BMI), Hachinksi score, and creatinine levels, and took significantly more medications for vascular conditions. Normal 2 had marginally significantly higher triglycerides and blood glucose. Normal 2 had a worse cognitive trajectory on the Rey's Auditory Verbal Learning Test (RAVLT) 30-min delay test and the Functional Activity Questionnaire (FAQ). Cerebral atrophy associated with multiple vascular risks is common among cognitively normal individuals, forming a distinct subgroup with significantly increased cognitive decline. Further studies are needed to determine the clinical impact of these findings.

[1]  J. E. Partington,et al.  Partington's Pathways Test. , 2020 .

[2]  A. Reiss,et al.  Insulin resistance and hippocampal volume in women at risk for Alzheimer's disease , 2011, Neurobiology of Aging.

[3]  H. Dodge,et al.  Terminal decline and practice effects in older adults without dementia , 2011, Neurology.

[4]  Colleen M. Parks,et al.  Executive function mediates effects of white matter hyperintensities on episodic memory , 2011, Neuropsychologia.

[5]  Stacey L. Sheridan,et al.  Low Health Literacy and Health Outcomes: An Updated Systematic Review , 2011, Annals of Internal Medicine.

[6]  Sudha Seshadri,et al.  Association of Metabolic Dysregulation With Volumetric Brain Magnetic Resonance Imaging and Cognitive Markers of Subclinical Brain Aging in Middle-Aged Adults , 2011, Diabetes Care.

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

[8]  Charles DeCarli,et al.  Late life cognitive control deficits are accentuated by white matter disease burden. , 2011, Brain : a journal of neurology.

[9]  Minna Rusanen,et al.  Heavy smoking in midlife and long-term risk of Alzheimer disease and vascular dementia. , 2011, Archives of internal medicine.

[10]  Owen Carmichael,et al.  Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline , 2010, Neurobiology of Aging.

[11]  Evan Fletcher,et al.  Vascular and Degenerative Processes Differentially Affect Regional Interhemispheric Connections in Normal Aging, Mild Cognitive Impairment, and Alzheimer Disease , 2010, Stroke.

[12]  Sudha Seshadri,et al.  Association of MRI Markers of Vascular Brain Injury With Incident Stroke, Mild Cognitive Impairment, Dementia, and Mortality: The Framingham Offspring Study , 2010, Stroke.

[13]  Y. Nishiyama,et al.  Correlation between insulin resistance and white matter lesions among non-diabetic patients with ischemic stroke , 2010, Neurological research.

[14]  C. Jack,et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.

[15]  C. Jack,et al.  Alzheimer's Disease Neuroimaging Initiative (ADNI) , 2010, Neurology.

[16]  Evan Fletcher,et al.  Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR , 2009, IPMI.

[17]  Kristine Yaffe,et al.  Hypoglycemic episodes and risk of dementia in older patients with type 2 diabetes mellitus. , 2009, JAMA.

[18]  A. Farooki Central obesity and increased risk of dementia more than three decades later. , 2009, Neurology.

[19]  Mark A. Smith,et al.  Central obesity and increased risk of dementia more than three decades later. , 2009, Neurology.

[20]  Sudha Seshadri,et al.  Association of plasma total homocysteine levels with subclinical brain injury: cerebral volumes, white matter hyperintensity, and silent brain infarcts at volumetric magnetic resonance imaging in the Framingham Offspring Study. , 2008, Archives of neurology.

[21]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[22]  D. Bennett,et al.  LONG-TERM FETAL CELL TRANSPLANT IN HUNTINGTON DISEASE: STAYIN’ ALIVE , 2007, Neurology.

[23]  Ronald A. Cohen,et al.  Relationship Between Body Mass Index and Brain Volume in Healthy Adults , 2008, The International journal of neuroscience.

[24]  David A. Bennett,et al.  Mixed brain pathologies account for most dementia cases in community-dwelling older persons , 2007, Neurology.

[25]  Leslie M. Shaw,et al.  PENN Biomarker Core of the Alzheimer’s Disease Neuroimaging Initiative , 2007, Neurosignals.

[26]  C. DeCarli,et al.  Chronic Kidney Disease Is Associated With White Matter Hyperintensity Volume: The Northern Manhattan Study (NOMAS) , 2007, Stroke.

[27]  R. Whitmer Type 2 diabetes and risk of cognitive impairment and dementia , 2007, Current neurology and neuroscience reports.

[28]  K. Yaffe,et al.  Metabolic Syndrome and Cognitive Decline in Elderly Latinos: Findings from the Sacramento Area Latino Study of Aging Study , 2007, Journal of the American Geriatrics Society.

[29]  K. Yaffe Metabolic Syndrome and Cognitive Disorders: Is the Sum Greater Than Its Parts? , 2007, Alzheimer disease and associated disorders.

[30]  D. Harvey,et al.  Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD , 2006, Neurology.

[31]  K. Yaffe,et al.  Glycosylated hemoglobin level and development of mild cognitive impairment or dementia in older women. , 2006, The journal of nutrition, health & aging.

[32]  R. D'Agostino,et al.  Association of white matter hyperintensity volume with decreased cognitive functioning: the Framingham Heart Study. , 2006, Archives of neurology.

[33]  Charles DeCarli,et al.  Different mechanisms of episodic memory failure in mild cognitive impairment , 2005, Neuropsychologia.

[34]  Sterling C. Johnson,et al.  The effect of body mass index on global brain volume in middle-aged adults: a cross sectional study , 2005, BMC neurology.

[35]  C. DeCarli,et al.  Total Homocysteine Is Associated With White Matter Hyperintensity Volume: The Northern Manhattan Study , 2005, Stroke.

[36]  Kristine Yaffe,et al.  Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study , 2005, BMJ : British Medical Journal.

[37]  D. Harvey,et al.  Measures of brain morphology and infarction in the framingham heart study: establishing what is normal , 2005, Neurobiology of Aging.

[38]  K Yaffe,et al.  Midlife cardiovascular risk factors and risk of dementia in late life , 2005, Neurology.

[39]  D. Harvey,et al.  Anatomical Mapping of White Matter Hyperintensities (WMH): Exploring the Relationships Between Periventricular WMH, Deep WMH, and Total WMH Burden , 2005, Stroke.

[40]  R B D'Agostino,et al.  Stroke risk profile, brain volume, and cognitive function , 2004, Neurology.

[41]  Charles DeCarli,et al.  Stroke Risk Profile Predicts White Matter Hyperintensity Volume: The Framingham Study , 2004, Stroke.

[42]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[43]  H. Soininen,et al.  Midlife vascular risk factors and late-life mild cognitive impairment , 2001, Neurology.

[44]  J. Price,et al.  Mild cognitive impairment represents early-stage Alzheimer disease. , 2001, Archives of neurology.

[45]  Karl J. Friston,et al.  Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model , 1999, NeuroImage.

[46]  C. DeCarli,et al.  Association of midlife blood pressure to late-life cognitive decline and brain morphology , 1998, Neurology.

[47]  B. Miller,et al.  Midlife cardiovascular risk factors, ApoE, and cognitive decline in elderly male twins , 1998, Neurology.

[48]  Jagath C. Rajapakse,et al.  Statistical approach to segmentation of single-channel cerebral MR images , 1997, IEEE Transactions on Medical Imaging.

[49]  R. Havlik,et al.  The association between midlife blood pressure levels and late-life cognitive function. The Honolulu-Asia Aging Study. , 1995, JAMA.

[50]  J. Morris,et al.  The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer's disease , 1989, Neurology.

[51]  M. Gatz,et al.  The Alzheimer's disease knowledge test. , 1988, The Gerontologist.

[52]  J. Yesavage,et al.  Geriatric Depression Scale (GDS): Recent evidence and development of a shorter version. , 1986 .

[53]  K. Davis,et al.  A new rating scale for Alzheimer's disease. , 1984, The American journal of psychiatry.

[54]  T. Kurosaki,et al.  Measurement of functional activities in older adults in the community. , 1982, Journal of gerontology.

[55]  P. S. Achilles THE PSYCHOLOGICAL CORPORATION. , 1923, Science.

[56]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[57]  M. Roizen,et al.  Visceral Fat Is Associated with Lower Brain Volume in Healthy Middle-Aged Adults , 2011 .

[58]  C. Summerbell,et al.  Obesity in middle age and future risk of dementia , 2005 .

[59]  Correlation between insulin level and BP - Heureka study , 1994 .

[60]  C. Reynolds,et al.  Wechsler memory scale-revised , 1988 .

[61]  A. Rey L'examen clinique in psychologie , 1964 .