Literature DB >> 15653178

Measures of brain morphology and infarction in the framingham heart study: establishing what is normal.

Charles DeCarli1, Joseph Massaro, Danielle Harvey, John Hald, Mats Tullberg, Rhoda Au, Alexa Beiser, Ralph D'Agostino, Philip A Wolf.   

Abstract

Numerous anatomical and brain imaging studies find substantial differences in brain structure between men and women across the span of human aging. The ability to extend the results of many of these studies to the general population is limited, however, due to the generally small sample size and restrictive health criteria of these studies. Moreover, little attention has been paid to the possible impact of brain infarction on age-related differences in regional brain volumes. Given the current lack of normative data on gender and aging related differences in regional brain morphology, particularly with regard to the impact of brain infarctions, we chose to quantify brain MRIs from more than 2200 male and female participants of the Framingham Heart Study who ranged in age from 34 to 97 years. We believe that MRI analysis of the Framingham Heart Study more closely represents the general population enabling more accurate estimates of regional brain changes that occur as the consequence of normal aging. As predicted, men had significantly larger brain volumes than women, but these differences were generally not significant after correcting for gender related differences in head size. Age explained approximately 50% of total cerebral brain volume differences, but age-related differences were generally small prior to age 50, declining substantially thereafter. Frontal lobe volumes showed the greatest decline with age (approximately 12%), whereas smaller differences were found for the temporal lobes (approximately 9%). Age-related differences in occipital and parietal lobe were modest. Age-related gender differences were generally small, except for the frontal lobe where men had significantly smaller lobar brain volumes throughout the age range studied. The prevalence of MRI infarction was common after age 50, increased linearly with age and was associated with significantly larger white matter hyperintensity (WMH) volumes beyond that associated with age-related differences in these measures. Amongst men, the presence of MRI infarction was associated with significant age-related reductions in total brain volume. Finally, statistically significant associations were found between the volume of MRI infarcts in cubic centimeters and all brain measures with the exception of parietal lobe volume for individuals where the volume of MRI infarctions was measured. These data serve to define age and gender differences in brain morphology for the Framingham Heart Study. To the degree participants of the Framingham Heart Study are representative the general population, these data can serve as norms for comparison with morphological brain changes associated with aging and disease. In this regard, these cross-sectional quantitative estimates suggest that age-related tissue loss differs quantitatively and qualitatively across brain regions with only minor differences between men and women. In addition, MRI evidence of cerebrovascular disease is common to the aging process and associated with smaller regional brain volumes for a given age, particularly for men. We believe quantitative MRI studies of the Framingham community enables exploration of numerous issues ranging from understanding normal neurobiology of brain aging to assessing the impact of various health factors, particularly those related to cerebrovascular disease, that appear important to maintaining brain health for the general population.

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Year:  2005        PMID: 15653178     DOI: 10.1016/j.neurobiolaging.2004.05.004

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  322 in total

1.  Long-term blood pressure fluctuation and cerebrovascular disease in an elderly cohort.

Authors:  Adam M Brickman; Christiane Reitz; José A Luchsinger; Jennifer J Manly; Nicole Schupf; Jordan Muraskin; Charles DeCarli; Truman R Brown; Richard Mayeux
Journal:  Arch Neurol       Date:  2010-05

2.  White matter hyperintensity penumbra.

Authors:  Pauline Maillard; Evan Fletcher; Danielle Harvey; Owen Carmichael; Bruce Reed; Dan Mungas; Charles DeCarli
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

3.  Coronary risk correlates with cerebral amyloid deposition.

Authors:  Bruce R Reed; Natalie L Marchant; William J Jagust; Charles C DeCarli; Wendy Mack; Helena C Chui
Journal:  Neurobiol Aging       Date:  2011-11-10       Impact factor: 4.673

4.  The relation of dietary choline to cognitive performance and white-matter hyperintensity in the Framingham Offspring Cohort.

Authors:  Coreyann Poly; Joseph M Massaro; Sudha Seshadri; Philip A Wolf; Eunyoung Cho; Elizabeth Krall; Paul F Jacques; Rhoda Au
Journal:  Am J Clin Nutr       Date:  2011-11-09       Impact factor: 7.045

5.  Cerebrovascular disease, β-amyloid, and cognition in aging.

Authors:  Natalie L Marchant; Bruce R Reed; Charles S DeCarli; Cindee M Madison; Michael W Weiner; Helena C Chui; William J Jagust
Journal:  Neurobiol Aging       Date:  2011-11-01       Impact factor: 4.673

Review 6.  Do brain image databanks support understanding of normal ageing brain structure? A systematic review.

Authors:  David Alexander Dickie; Dominic E Job; Ian Poole; Trevor S Ahearn; Roger T Staff; Alison D Murray; Joanna M Wardlaw
Journal:  Eur Radiol       Date:  2012-02-22       Impact factor: 5.315

Review 7.  Clinically asymptomatic vascular brain injury: a potent cause of cognitive impairment among older individuals.

Authors:  Charles DeCarli
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

8.  Association of gray matter atrophy with age, β-amyloid, and cognition in aging.

Authors:  Hwamee Oh; Cindee Madison; Sylvia Villeneuve; Candace Markley; William J Jagust
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

9.  High-Normal Adolescent Fasting Plasma Glucose Is Associated With Poorer Midlife Brain Health: Bogalusa Heart Study.

Authors:  Owen Carmichael; Patrick Stuchlik; Sreekrishna Pillai; Geert-Jan Biessels; Ram Dhullipudi; Anna Madden-Rusnak; Shane Martin; Daniel S Hsia; Vivian Fonseca; Lydia Bazzano
Journal:  J Clin Endocrinol Metab       Date:  2019-10-01       Impact factor: 5.958

10.  Parental longevity is associated with cognition and brain ageing in middle-aged offspring.

Authors:  Joanne M Murabito; Alexa S Beiser; Charles Decarli; Sudha Seshadri; Philip A Wolf; Rhoda Au
Journal:  Age Ageing       Date:  2013-11-07       Impact factor: 10.668

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