Literature DB >> 17239994

Brain tissue volumes in the general elderly population. The Rotterdam Scan Study.

M Arfan Ikram1, Henri A Vrooman, Meike W Vernooij, Fedde van der Lijn, Albert Hofman, Aad van der Lugt, Wiro J Niessen, Monique M B Breteler.   

Abstract

We investigated how volumes of cerebrospinal fluid (CSF), grey matter (GM) and white matter (WM) varied with age, sex, small vessel disease and cardiovascular risk factors in the Rotterdam Scan Study. Participants (n=490; 60-90 years) were non-demented and 51.0% had hypertension, 4.9% had diabetes mellitus, 17.8% were current smoker and 54.0% were former smoker. We segmented brain MR-images into GM, normal WM, white matter lesion (WML) and CSF. Brain infarcts were rated visually. Volumes were expressed as percentage of intra-cranial volume. With increasing age, volumes of total brain, normal WM and total WM decreased; that of GM remained unchanged; and that of WML increased, in both men and women. Excluding persons with infarcts did not alter these results. Persons with larger load of small vessel disease had smaller brain volume, especially normal WM volume. Diastolic blood pressure, diabetes mellitus and current smoking were also related to smaller brain volume. In the elderly, higher age, small vessel disease and cardiovascular risk factors are associated with smaller brain volume, especially WM volume.

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Year:  2007        PMID: 17239994     DOI: 10.1016/j.neurobiolaging.2006.12.012

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


  59 in total

1.  The Rotterdam Study: 2016 objectives and design update.

Authors:  Albert Hofman; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal:  Eur J Epidemiol       Date:  2015-09-19       Impact factor: 8.082

2.  Global Cerebral Atrophy Detected by Routine Imaging: Relationship with Age, Hippocampal Atrophy, and White Matter Hyperintensities.

Authors:  Omar M Al-Janabi; Pradeep Panuganti; Erin L Abner; Ahmed A Bahrani; Ronan Murphy; Shoshana H Bardach; Allison Caban-Holt; Peter T Nelson; Brian T Gold; Charles D Smith; Donna M Wilcock; Gregory A Jicha
Journal:  J Neuroimaging       Date:  2018-01-05       Impact factor: 2.486

3.  Re: Development and initial testing of normal reference MR images for the brain at ages 65-70 and 75-80 years: does assessing brain atrophy on an individual patient basis need correction to peak brain volume or a surrogate?

Authors:  Nigel Hoggard
Journal:  Eur Radiol       Date:  2008-12-09       Impact factor: 5.315

4.  The Rotterdam Study: 2014 objectives and design update.

Authors:  Albert Hofman; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal:  Eur J Epidemiol       Date:  2013-11-21       Impact factor: 8.082

5.  Hippocampal shape is predictive for the development of dementia in a normal, elderly population.

Authors:  Hakim C Achterberg; Fedde van der Lijn; Tom den Heijer; Meike W Vernooij; M Arfan Ikram; Wiro J Niessen; Marleen de Bruijne
Journal:  Hum Brain Mapp       Date:  2013-09-03       Impact factor: 5.038

6.  Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline.

Authors:  S Debette; S Seshadri; A Beiser; R Au; J J Himali; C Palumbo; P A Wolf; C DeCarli
Journal:  Neurology       Date:  2011-08-02       Impact factor: 9.910

7.  Brain structure and obesity.

Authors:  Cyrus A Raji; April J Ho; Neelroop N Parikshak; James T Becker; Oscar L Lopez; Lewis H Kuller; Xue Hua; Alex D Leow; Arthur W Toga; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

8.  Cerebellar gray and white matter volume and their relation with age and manual motor performance in healthy older adults.

Authors:  Vincent Koppelmans; Sarah Hirsiger; Susan Mérillat; Lutz Jäncke; Rachael D Seidler
Journal:  Hum Brain Mapp       Date:  2015-02-19       Impact factor: 5.038

9.  Patterns of cognitive function in aging: the Rotterdam Study.

Authors:  Yoo Young Hoogendam; Albert Hofman; Jos N van der Geest; Aad van der Lugt; Mohammad Arfan Ikram
Journal:  Eur J Epidemiol       Date:  2014-02-20       Impact factor: 8.082

10.  Beyond mild cognitive impairment: vascular cognitive impairment, no dementia (VCIND).

Authors:  Blossom Cm Stephan; Fiona E Matthews; Kay-Tee Khaw; Carole Dufouil; Carol Brayne
Journal:  Alzheimers Res Ther       Date:  2009-07-09       Impact factor: 6.982

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