When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies

NeuroImage

Volumn 50, Issue 4, 2010, Pages 1376-1383

  Fjell, Anders M ^a,b   Walhovd, Kristine B ^a,b   Westlye, Lars T ^a   Østby, Ylva ^a   Tamnes, Christian K ^a   Jernigan, Terry L ^c,d,f,g   Gamst, Anthony ^c,e   Dale, Anders M ^c,d,e  

^a UNIVERSITY OF OSLO   (Norway)

^b ULLEVÅL UNIVERSITY HOSPITAL   (Norway)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Aging; FreeSurfer; Hippocampus; Local smoothing; Magnetic resonance imaging; Nonparametric; Polynomial models; Quadratic functions; Smoothing spline

Indexed keywords

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGED; AGING; ARTICLE; BRAIN MATURATION; BRAIN SIZE; CHILD; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; LIFESPAN; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NONLINEAR SYSTEM; NONPARAMETRIC TEST; NORMAL HUMAN; PRIORITY JOURNAL; REPLICATION STUDY; SCHOOL CHILD;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AGING; BRAIN; CHILD; CROSS-SECTIONAL STUDIES; FEMALE; HIPPOCAMPUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; ORGAN SIZE; YOUNG ADULT;

EID: 77950554423     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.01.061     Document Type: Article

References (36)

1. Allen J.S., Bruss J., Brown C.K., and Damasio H. Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region. Neurobiol. Aging 26 (2005) 1245-1260 discussion 1279-1282
2. Andersen R. Nonparametric methods for modeling nonlinearity in regression analysis. Annu. Rev. Sociology 35 (2009) 67-85
3. Berg L. Clinical Dementia Rating. Br. J. Psychiatry 145 (1984) 339
4. Berg L. Clinical Dementia Rating (CDR). Psychopharmacol. Bull. 24 (1988) 637-639
5. Buckner R.L., Head D., Parker J., Fotenos A.F., Marcus D., Morris J.C., and 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 23 (2004) 724-738
6. Courchesne E., Chisum H.J., Townsend J., Cowles A., Covington J., Egaas B., Harwood M., Hinds S., and Press G.A. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 216 (2000) 672-682
7. Du A.T., Schuff N., Chao L.L., Kornak J., Jagust W.J., Kramer J.H., Reed B.R., Miller B.L., Norman D., Chui H.C., and Weiner M.W. Age effects on atrophy rates of entorhinal cortex and hippocampus. Neurobiol. Aging 27 (2006) 733-740
8. Fan J., C. Z., and J. Z. Generalized Likelihood Ratio Statistics and Wilks phenomenon. Ann. Stat. 29 (2001) 153-193
9. Fischl B., Salat D.H., Busa E., Albert M., Dieterich M., Haselgrove C., van der Kouwe A., Killiany R., Kennedy D., Klaveness S., Montillo A., Makris N., Rosen B., and Dale A.M. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33 (2002) 341-355
10. Fischl B., Salat D.H., van der Kouwe A.J., Makris N., Segonne F., Quinn B.T., and Dale A.M. Sequence-independent segmentation of magnetic resonance images. NeuroImage 23 Suppl. 1 (2004) S69-S84
11. 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., and Walhovd K.B. High consistency of regional cortical thinning in aging across multiple samples. Cereb. Cortex 19 (2009) 2001-20012
12. Fjell A.M., Westlye L.T., Greve D.N., Fischl B., Benner T., van der Kouwe A.J., Salat D., Bjornerud A., Due-Tonnessen P., and Walhovd K.B. The relationship between diffusion tensor imaging and volumetry as measures of white matter properties. NeuroImage 42 (2008) 1654-1668
13. Good C.D., Johnsrude I.S., Ashburner J., Henson R.N., Friston K.J., and Frackowiak R.S. A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage 14 (2001) 21-36
14. Greenberg D.L., Messer D.F., Payne M.E., Macfall J.R., Provenzale J.M., Steffens D.C., and Krishnan R.R. Aging, gender, and the elderly adult brain: an examination of analytical strategies. Neurobiol. Aging 29 (2008) 290-302
15. Haerdle W. Applied Nonparametric Regression (1990), Cambridge University Press, Cambridge
16. Han X., and Fischl B. Atlas renormalization for improved brain MR image segmentation across scanner platforms. IEEE Trans. Med. Imaging 26 (2007) 479-486
17. Jernigan T.L., and Gamst A.C. Changes in volume with age-consistency and interpretation of observed effects. Neurobiol. Aging 26 (2005) 1271-1274 discussion 1275-1278
18. Kennedy K.M., and Raz N. Aging white matter and cognition: differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia 47 (2009) 916-927
19. Kennedy K.M., Erickson K.I., Rodrigue K.M., Voss M.W., Colcombe S.J., Kramer A.F., Acker J.D., and Raz N. Age-related differences in regional brain volumes: a comparison of optimized voxel-based morphometry to manual volumetry. Neurobiol. Aging 30 (2008) 1657-1676
20. Luft A.R., Skalej M., Schulz J.B., Welte D., Kolb R., Burk K., Klockgether T., and Voight K. Patterns of age-related shrinkage in cerebellum and brainstem observed in vivo using three-dimensional MRI volumetry. Cereb. Cortex 9 (1999) 712-721
21. Lupien S.J., Evans A., Lord C., Miles J., Pruessner M., Pike B., and Pruessner J.C. Hippocampal volume is as variable in young as in older adults: implications for the notion of hippocampal atrophy in humans. NeuroImage 34 (2007) 479-485
22. Makris N., Meyer J.W., Bates J.F., Yeterian E.H., Kennedy D.N., and Caviness V.S. MRI-Based topographic parcellation of human cerebral white matter and nuclei II. Rationale and applications with systematics of cerebral connectivity. NeuroImage 9 (1999) 18-45
23. Marcus D.S., Wang T.H., Parker J., Csernansky J.G., Morris J.C., and Buckner R.L. Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J. Cogn. Neurosci. 19 (2007) 1498-1507
24. Mueller H.G. Kernel estimators of zeros and of location and size of extrema of regression functions. Scand. J. Statist. 12 (1985) 221-232
25. Raz N., Gunning-Dixon F., Head D., Rodrigue K.M., Williamson A., and Acker J.D. Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume. Neurobiol. Aging 25 (2004) 377-396
26. Sowell E.R., Peterson B.S., Kan E., Woods R.P., Yoshii J., Bansal R., Xu D., Zhu H., Thompson P.M., and Toga A.W. Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cereb. Cortex 17 (2007) 1550-1560
27. Sowell E.R., Peterson B.S., Thompson P.M., Welcome S.E., Henkenius A.L., and Toga A.W. Mapping cortical change across the human life span. Nat. Neurosci. 6 (2003) 309-315
28. Sullivan E.V., Marsh L., Mathalon D.H., Lim K.O., and Pfefferbaum A. Age-related decline in MRI volumes of temporal lobe gray matter but not hippocampus. Neurobiol. Aging 16 (1995) 591-606
29. Tamnes C.K., Østby Y., Fjell A.M., Westlye L.T., Due-Tonnessen P., and Walhovd K.B. Brain maturation in adolescence and young adulthood: Regional age-related changes in cortical thickness and white matter volume and microstructure. Cerebral Cortex 20 (2010) 534-548
30. Terribilli D., Schaufelberger M.S., Duran F.L., Zanetti M.V., Curiati P.K., Menezes P.R., Scazufca M., Amaro Jr. E., Leite C.C., and Busatto G.F. Age-related gray matter volume changes in the brain during non-elderly adulthood. Neurobiol. Aging (2009) (Mar 10, Electronic publication ahead of print)
31. Van Petten C. Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: review and meta-analysis. Neuropsychologia 42 (2004) 1394-1413
32. Walhovd K.B., Fjell A.M., Reinvang I., Lundervold A., Dale A.M., Eilertsen D.E., Quinn B.T., Salat D., Makris N., and Fischl B. Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiol. Aging 26 (2005) 1261-1270 discussion 1275-1268
33. Walhovd K.B., Moe V., Slinning K., Due-Tonnessen P., Bjornerud A., Dale A.M., van der Kouwe A., Quinn B.T., Kosofsky B., Greve D., and Fischl B. Volumetric cerebral characteristics of children exposed to opiates and other substances in utero. NeuroImage 36 (2007) 1331-1344
34. Walhovd, K.B., Westlye, L.T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D., Greve, D., Fischl, B., Dale, A., in press. Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiol. Aging (2009 Jun 29, Electronic publication ahead of print).
35. Westlye L.T., Walhovd K.B., Bjornerud A., Due-Tonnessen P., and Fjell A.M. Error-related negativity is mediated by fractional anisotropy in the posterior cingulate gyrus-a study combining diffusion tensor imaging and electrophysiology in healthy adults. Cereb. .Cortex 19 (2009) 293-304
36. Westlye, L.T., Walhovd, K.B., Dale, A.M., Bjørnerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C.K., Østby, Y., Fjell, A.M., In press. Life-span changes if the human white matter: diffusion tensor imaging (DTI) and volumetry. Cerebral Cortex (2009 Dec 23, Electronic publication ahead of print).