Brain cortical thickness in the general elderly population: The Rotterdam Scan Study

Neuroscience Letters

Volumn 550, Issue , 2013, Pages 189-194

  van Velsen, Evert F S ^a   Vernooij, Meike W ^a   Vrooman, Henri A ^a   van der Lugt, Aad ^a   Breteler, Monique M B ^a   Hofman, Albert ^a   Niessen, Wiro J ^a,b   Ikram, M Arfan ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Cardiovascular risk factors; Cerebral cortex; Cortical thickness; Magnetic resonance imaging; Normal aging; Population based

Indexed keywords

HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

AGE; AGED; AGING; ARTICLE; BODY MASS; BRAIN CORTEX; BRAIN SIZE; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CORTICAL THICKNESS (BRAIN); DIABETES MELLITUS; DIASTOLIC BLOOD PRESSURE; EDUCATION; FEMALE; FRONTAL LOBE; GENDER; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; OCCIPITAL LOBE; PARIETAL LOBE; POPULATION RESEARCH; PRIORITY JOURNAL; RISK ASSESSMENT; SEX DIFFERENCE; SMOKING; SYSTOLIC BLOOD PRESSURE; TEMPORAL LOBE;

CARDIOVASCULAR RISK FACTORS; CEREBRAL CORTEX; CORTICAL THICKNESS; MAGNETIC RESONANCE IMAGING; NORMAL AGING; POPULATION-BASED;

AGED; AGED, 80 AND OVER; AGING; CEREBRAL CORTEX; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; ORGAN SIZE; REFERENCE VALUES; RISK FACTORS; SEX CHARACTERISTICS;

EID: 84881371970     PISSN: 03043940     EISSN: 18727972     Source Type: Journal    
DOI: 10.1016/j.neulet.2013.06.063     Document Type: Article

References (38)

1. Brundel M., van den Heuvel M., de Bresser J., Kappelle L.J., Biessels G.J., Utrecht Diabetic Encephalopathy Study Cerebral cortical thickness in patients with type 2 diabetes. J. Neurol. Sci. 2010, 299:126-130.
2. Buckner R.L., Head D., Parker J., Fotenos A.F., Marcus D., Morris J.C., Snyder A.Z. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage 2004, 23:724-738.
3. Cowell P.E., Sluming V.A., Wilkinson I.D., Cezayirli E., Romanowski C.A., Webb J.A., Keller S.S., Mayes A., Roberts N. Effects of sex and age on regional prefrontal brain volume in two human cohorts. Eur. J. Neurosci. 2007, 25:307-318.
4. Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999, 9:179-194.
5. DeCarli C., Massaro J., Harvey D., Hald J., Tullberg M., Au R., Beiser A., D'Agostino R., Wolf P.A. Measures of brain morphology and infarction in the Framingham heart study: establishing what is normal. Neurobiol. Aging 2005, 26:491-510.
6. Desikan R.S., Segonne F., Fischl B., Quinn B.T., Dickerson B.C., Blacker D., Buckner R.L., Dale A.M., Maguire R.P., Hyman B.T., Albert M.S., Killiany R.J. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006, 31:968-980.
7. Du A.T., Schuff N., Kramer J.H., Rosen H.J., Gorno-Tempini M.L., Rankin K., Miller B.L., Weiner M.W. Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. Brain 2007, 130:1159-1166.
8. Fischl B., Dale A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. U.S.A. 2000, 97:11050-11055.
9. Fjell A.M., Westlye L.T., Amlien I., Espeseth T., Reinvang I., Raz N., Agartz I., Salat D.H., Greve D.N., Fischl B., Dale A.M., Walhovd K.B. High consistency of regional cortical thinning in aging across multiple samples. Cereb. Cortex 2009, 19:2001-2012.
10. Fjell A.M., Westlye L.T., Amlien I., Espeseth T., Reinvang I., Raz N., Agartz I., Salat D.H., Greve D.N., Fischl B., Dale A.M., Walhovd K.B. Minute effects of sex on the aging brain: a multisample magnetic resonance imaging study of healthy aging and Alzheimer's disease. J. Neurosci. 2009, 29:8774-8783.
11. Geerlings M.I., Appelman A.P., Vincken K.L., Algra A., Witkamp T.D., Mali W.P., van der Graaf Y. Brain volumes and cerebrovascular lesions on MRI in patients with atherosclerotic disease. The SMART-MR study. Atherosclerosis 2010, 210(1):130-136.
12. Hofman A., van Duijn C.M., Franco O.H., Ikram M.A., Janssen H.L., Klaver C.C., Kuipers E.J., Nijsten T.E., Stricker B.H., Tiemeier H., Uitterlinden A.G., Vernooij M.W., Witteman J.C. The Rotterdam Study: 2012 objectives and design update. Eur. J. Epidemiol. 2011, 26:657-686.
13. Ikram M.A., van der Lugt A., Niessen W.J., Krestin G.P., Koudstaal P.J., Hofman A., Breteler M.M., Vernooij M.W. The Rotterdam Scan Study: design and update up to 2012. Eur. J. Epidemiol. 2011, 26:811-824.
14. Ikram M.A., Vrooman H.A., Vernooij M.W., van der Lijn F., Hofman A., van der Lugt A., Niessen W.J., Breteler M.M. Brain tissue volumes in the general elderly population. The Rotterdam Scan Study. Neurobiol. Aging 2008, 29:882-890.
15. Im K., Lee J.M., Lee J., Shin Y.W., Kim I.Y., Kwon J.S., Kim S.I. Gender difference analysis of cortical thickness in healthy young adults with surface-based methods. Neuroimage 2006, 31:31-38.
16. Im K., Lee J.M., Lyttelton O., Kim S.H., Evans A.C., Kim S.I. Brain size and cortical structure in the adult human brain. Cereb. Cortex 2008, 18:2181-2191.
17. Kabani N., Le Goualher G., MacDonald D., Evans A.C. Measurement of cortical thickness using an automated 3-D algorithm: a validation study. Neuroimage 2001, 13:375-380.
18. Lemaitre H., Goldman A.L., Sambataro F., Verchinski B.A., Meyer-Lindenberg A., Weinberger D.R., Mattay V.S. Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?. Neurobiol. Aging 2012, 33(617):e611-e619.
19. Leritz E.C., Salat D.H., Williams V.J., Schnyer D.M., Rudolph J.L., Lipsitz L., Fischl B., McGlinchey R.E., Milberg W.P. Thickness of the human cerebral cortex is associated with metrics of cerebrovascular health in a normative sample of community dwelling older adults. Neuroimage 2011, 54:2659-2671.
20. Long X., Liao W., Jiang C., Liang D., Qiu B., Zhang L. Healthy aging: an automatic analysis of global and regional morphological alterations of human brain. Acad. Radiol. 2012, 19(7):785-793.
21. Luders E., Narr K.L., Thompson P.M., Rex D.E., Woods R.P., Deluca H., Jancke L., Toga A.W. Gender effects on cortical thickness and the influence of scaling. Hum. Brain Mapp. 2006, 27:314-324.
22. Lv B., Li J., He H., Li M., Zhao M., Ai L., Yan F., Xian J., Wang Z. Gender consistency and difference in healthy adults revealed by cortical thickness. Neuroimage 2010, 53:373-382.
23. Magnotta V.A., Andreasen N.C., Schultz S.K., Harris G., Cizadlo T., Heckel D., Nopoulos P., Flaum M. Quantitative in vivo measurement of gyrification in the human brain: changes associated with aging. Cereb. Cortex 1999, 9:151-160.
24. Maki P.M., Dumas J. Mechanisms of action of estrogen in the brain: insights from human neuroimaging and psychopharmacologic studies. Semin. Reprod. Med. 2009, 27:250-259.
25. Preul C., Hund-Georgiadis M., Forstmann B.U., Lohmann G. Characterization of cortical thickness and ventricular width in normal aging: a morphometric study at 3Tesla. J. Magn. Reson. Imaging 2006, 24:513-519.
26. Reid A.T., van Norden A.G., de Laat K.F., van Oudheusden L.J., Zwiers M.P., Evans A.C., de Leeuw F.E., Kotter R. Patterns of cortical degeneration in an elderly cohort with cerebral small vessel disease. Hum. Brain Mapp. 2010, 31:1983-1992.
27. Rosas H.D., Liu A.K., Hersch S., Glessner M., Ferrante R.J., Salat D.H., van der Kouwe A., Jenkins B.G., Dale A.M., Fischl B. Regional and progressive thinning of the cortical ribbon in Huntington's disease. Neurology 2002, 58:695-701.
28. Salat D.H., Buckner R.L., Snyder A.Z., Greve D.N., Desikan R.S., Busa E., Morris J.C., Dale A.M., Fischl B. Thinning of the cerebral cortex in aging. Cereb. Cortex 2004, 14:721-730.
29. Schmidt R., Launer L.J., Nilsson L.G., Pajak A., Sans S., Berger K., Breteler M.M., de Ridder M., Dufouil C., Fuhrer R., Giampaoli S., Hofman A. Magnetic resonance imaging of the brain in diabetes: the Cardiovascular Determinants of Dementia (CASCADE) Study. Diabetes 2004, 53:687-692.
30. Seo S.W., Im K., Lee J.M., Kim S.T., Ahn H.J., Go S.M., Kim S.H., Na D.L. Effects of demographic factors on cortical thickness in Alzheimer's disease. Neurobiol. Aging 2011, 32(2):200-209.
31. Sowell E.R., Peterson B.S., Kan E., Woods R.P., Yoshii J., Bansal R., Xu D., Zhu H., Thompson P.M., Toga A.W. Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cereb. Cortex 2007, 17:1550-1560.
32. Thambisetty M., Wan J., Carass A., An Y., Prince J.L., Resnick S.M. Longitudinal changes in cortical thickness associated with normal aging. Neuroimage 2010, 52:1215-1223.
33. Vernooij M.W., van der Lugt A., Ikram M.A., Wielopolski P.A., Niessen W.J., Hofman A., Krestin G.P., Breteler M.M. Prevalence and risk factors of cerebral microbleeds: the Rotterdam Scan Study. Neurology 2008, 70:1208-1214.
34. Walhovd K.B., Fjell A.M., Reinvang I., Lundervold A., Dale A.M., Eilertsen D.E., Quinn B.T., Salat D., Makris N., Fischl B. Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiol. Aging 2005, 26:1261-1270. discussion 1275-1268.
35. Ward M.A., Bendlin B.B., McLaren D.G., Hess T.M., Gallagher C.L., Kastman E.K., Rowley H.A., Asthana S., Carlsson C.M., Sager M.A., Johnson S.C. Low HDL cholesterol is associated with lower gray matter volume in cognitively healthy adults. Front. Aging Neurosci. 2010, 2:29.
36. Whitworth J.A. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J. Hypertens. 2003, 21:1983-1992.
37. Wolosin S.M., Richardson M.E., Hennessey J.G., Denckla M.B., Mostofsky S.H. Abnormal cerebral cortex structure in children with ADHD. Hum. Brain Mapp. 2009, 30:175-184.
38. Ziegler D.A., Piguet O., Salat D.H., Prince K., Connally E., Corkin S. Cognition in healthy aging is related to regional white matter integrity, but not cortical thickness. Neurobiol. Aging 2010, 31(11):1912-1926.