Age-related gray matter volume changes in the brain during non-elderly adulthood

Abstract

Previous magnetic resonance imaging (MRI) studies described consistent age-related gray matter (GM) reductions in the fronto-parietal neocortex, insula and cerebellum in elderly subjects, but not as frequently in limbic/paralimbic structures. However, it is unclear whether such features are already present during earlier stages of adulthood, and if age-related GM changes may follow non-linear patterns at such age range. This voxel-based morphometry study investigated the relationship between GM volumes and age specifically during non-elderly life (18-50 years) in 89 healthy individuals (48 males and 41 females). Voxelwise analyses showed significant (p<0.05, corrected) negative correlations in the right prefrontal cortex and left cerebellum, and positive correlations (indicating lack of GM loss) in the medial temporal region, cingulate gyrus, insula and temporal neocortex. Analyses using ROI masks showed that age-related dorsolateral prefrontal volume decrements followed non-linear patterns, and were less prominent in females compared to males at this age range. These findings further support for the notion of a heterogeneous and asynchronous pattern of age-related brain morphometric changes, with region-specific non-linear features.

References 60

1. 1.

   Abe O., Yamasue H., Aoki S., Suga M., Yamada H., Kasai K., Masutani Y., Kato N., Kato N., Ohtomo K. Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data. Neurobiol. Aging. 2008;29:102-116.

   Not in our library10.1016/j.neurobiolaging.2006.09.003

2. 2.

   Adler C.M., DelBello M.P., Jarvis K., Levine A., Adams J., Strakowski S.M. Voxel-based study of structural changes in first-episode patients with bipolar disorder. Biol. Psychiatry. 2007;61:776-781.

   Not in our library10.1016/j.biopsych.2006.05.042

3. 3.

   Alexander G.E., Chen K., Merkley T.L., Reiman E.M., Caselli R.J., Aschenbrenner M., Santerre-Lemmon L., Lewis D.J., Pietrini P., Teipel S.J., Hampel H., Rapoport S.I., Moeller J.R. Regional network of magnetic resonance imaging gray matter volume in healthy aging. Neuroreport. 2006;17:951-956.

   Not in our library10.1097/01.wnr.0000220135.16844.b6

4. 4.

   Allen J.S., Bruss J., Brown C.K., Damasio H. Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region. Neurobiol. Aging. 2005;26:1245-1260.

   Not in our library10.1016/j.neurobiolaging.2005.05.023

5. 5.

   Benedetti B., Charil A., Rovaris M., Judica E., Valsasina P., Sormani M.P., Filippi M. Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. Neurology. 2006;66:535-539.

   Not in our library10.1212/01.wnl.0000198510.73363.c6

6. 6.

   Berman K.F., Schmidt P.J., Rubinow D.R., Danaceau M.A., Van Horn J.D., Esposito G., Ostrem J.L., Weinberger D.R. Modulation of cognition-specific cortical activity by gonadal steroids: a positron-emission tomography study in women. Proc. Natl. Acad. Sci. U.S.A. 1997;94:8836-8841.

   Not in our library10.1073/pnas.94.16.8836

7. 7.

   Bookstein F.L. “Voxel-based morphometry” should not be used with imperfectly registered images. Neuroimage. 2001;14(6):1454-1462.

   Not in our library10.1006/nimg.2001.0770

8. 8.

   Brett M., Johnsrude I.S., Owen A.M. The problem of functional localization in the human brain. Nat. Rev. Neurosci. 2002;3:243-249.

   Not in our library10.1038/nrn756

9. 9.

   Carne R.P., Vogrin S., Litewka L., Cook M.J. Cerebral cortex: an MRI-based study of volume and variance with age and sex. J. Clin. Neurosci. 2006;13:60-72.

   Not in our library10.1016/j.jocn.2005.02.013

10. 10.

    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.

    Not in our library10.1111/j.1460-9568.2006.05281.x

11. 11.

    Critchley H.D. Neural mechanisms of autonomic, affective, and cognitive integration. J. Comp. Neurol. 2005;493:154-166.

    Not in our library10.1002/cne.20749

12. 12.

    Duran, F.L.S., Valente, A.A., Miguel, E.C., Castro, C.C., Busatto, G.F., 2006. Risk of artifacts due to enlarged ventricles using voxel-based morphometry studies. Poster presented at Organization for Human Brain Mapping conference, Florence, IT. Neuroimage (Suppl.), 31.

    Not in our library

13. 13.

    Eberling J.L., Wu C., Tong-Turnbeaugh R., Jagust W.J. Estrogen- and tamoxifen-associated effects on brain structure and function. Neuroimage. 2004;21:364-371.

    Not in our library10.1016/j.neuroimage.2003.08.037

14. 14.

    Fernandez G., Weis S., Stoffel-Wagner B., Tendolkar I., Reuber M., Beyenburg S., Klaver P., Fell J., de Greiff A., Ruhlmann J., Reul J., Elger C.E. Menstrual cycle-dependent neural plasticity in the adult human brain is hormone, task, and region specific. J. Neurosci. 2003;23:3790-3795.

    Not in our library10.1523/jneurosci.23-09-03790.2003

15. 15.

    First M.B., Spitzer R.L., Gibbon M., Williams J.B.W. Structured Clinical Interview for DSM-IV Axis I Disorders—Patient Edition (SCID-I/P). 1995.

    Not in our library

16. 16.

    Friston K.J., Holmes A.P., Worsley K.J., Poline J.P., Frith C.D., Frackowiak R.S.J. Statistic parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 1994;2:189-210.

    Not in our library

17. 17.

    Gallagher M., Schoenbaum G. Functions of the amygdala and related forebrain areas in attention and cognition. Ann. N.Y. Acad. Sci. 1999;877:397-411.

    Not in our library10.1111/j.1749-6632.1999.tb09279.x

18. 18.

    Garrido G.E., Furuie S.S., Buchpiguel C.A., Bottino C.M., Almeida O.P., Cid C.G., Camargo C.H., Castro C.C., Glabus M.F., Busatto G.F. Relation between medial temporal atrophy and functional brain activity during memory processing in Alzheimer's disease: a combined MRI and SPECT study. J. Neurol. Neurosurg. Psychiatry. 2002;73:508-516.

    Not in our library10.1136/jnnp.73.5.508

19. 19.

    Gianaros P.J., Greer P.J., Ryan C.M., Jennings J.R. Higher blood pressure predicts lower regional grey matter volume: consequences on short-term information processing. Neuroimage. 2006;31:754-765.

    Not in our library10.1016/j.neuroimage.2006.01.003

20. 20.

    Good C.D., Johnsrude I.S., Ashburner J., Henson R.N., Friston K.J., Frackowiak R.S. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001;14:21-36.

    Not in our library10.1006/nimg.2001.0786

21. 21.

    Grieve S.M., Clark C.R., Williams L.M., Peduto A.J., Gordon E. Preservation of limbic and paralimbic structures in aging. Hum. Brain Mapp. 2005;25:391-401.

    Not in our library10.1002/hbm.20115

22. 22.

    Gur R.C., Gunning-Dixon F.M., Turetsky B.I., Bilker W.B., Gur R.E. Brain region and sex differences in age association with brain volume: a quantitative MRI study of healthy young adults. Am. J. Geriatr. Psychiatry. 2002;10:72-80.

    Not in our library

23. 23.

    Honea R., Crow T.J., Passingham D., Mackay C.E. Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. Am. J. Psychiatry. 2005;162:2233-2245.

    Not in our library10.1176/appi.ajp.162.12.2233

24. 24.

    Jernigan T.L., Archibald S.L., Fennema-Notestine C., Gamst A.C., Stout J.C., Bonner J., Hesselink J.R. Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol. Aging. 2001;22:581-594.

    Not in our library10.1016/s0197-4580(01)00217-2

25. 25.

    Job D.E., Whalley H.C., McConnell S., Glabus M., Johnstone E.C., Lawrie S.M. Structural gray matter differences between first-episode schizophrenics and normal controls using voxel-based morphometry. Neuroimage. 2002;17:880-889.

    Not in our library

26. 26.

    Kalpouzos G., Chetelat G., Baron J.C., Landeau B., Mevel K., Godeau C., Barre L., Constans J.M., Viader F., Eustache F., Desgranges B. Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging. Neurobiol. Aging. 2009;30:112-124.

    Not in our library10.1016/j.neurobiolaging.2007.05.019

27. 27.

    Keenan P.A., Ezzat W.H., Ginsburg K., Moore G.J. Prefrontal cortex as the site of estrogen's effect on cognition. Psychoneuroendocrinology. 2001;26:577-590.

    Not in our library10.1016/s0306-4530(01)00013-0

28. 28.

    Kennedy, K.M., Erickson, K.I., Rodrigue, K.M., Voss, M.W., Colcombe, S.J., Kramer, A.F., Acker, J.D., Raz, N. Age-related differences in regional brain volumes: A comparison of optimized voxel-based morphometry to manual volumetry. Neurobiol. Aging, in press.

    Not in our library10.1016/j.neurobiolaging.2007.12.020

29. 29.

    Kumaran D., Maguire E.A. The human hippocampus: cognitive maps or relational memory? J. Neurosci. 2005;25:7254-7259.

    Not in our library10.1523/jneurosci.1103-05.2005

30. 30.

    Lee W., Bindman J., Ford T., Glozier N., Moran P., Stewart R., Hotopf M. Bias in psychiatric case–control studies: literature survey. Br. J. Psychiatry. 2007;190:204-209.

    Not in our library10.1192/bjp.bp.106.027250

31. 31.

    Lemaitre H., Crivello F., Grassiot B., Alperovitch A., Tzourio C., Mazoyer B. Age- and sex-related effects on the neuroanatomy of healthy elderly. Neuroimage. 2005;26:900-911.

    Not in our library10.1016/j.neuroimage.2005.02.042

32. 32.

    Mayberg H.S. Modulating dysfunctional limbic–cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimized treatment. Br. Med. Bull. 2003;65:193-207.

    Not in our library10.1093/bmb/65.1.193

33. 33.

    Menezes P.R., Johnson S., Thornicroft G., Marshall J., Prosser D., Bebbington P., Kuipers E. Drug and alcohol problems among individuals with severe mental illness in south London. Br. J. Psychiatry. 1996;168:612-619.

    Not in our library10.1192/bjp.168.5.612

34. 34.

    Mu Q., Xie J., Wen Z., Weng Y., Shuyun Z. A quantitative MR study of the hippocampal formation, the amygdala, and the temporal horn of the lateral ventricle in healthy subjects 40 to 90 years of age. AJNR Am. J. Neuroradiol. 1999;20:207-211.

    Not in our library

35. 35.

    Murphy D.G., DeCarli C., McIntosh A.R., Daly E., Mentis M.J., Pietrini P., Szczepanik J., Schapiro M.B., Grady C.L., Horwitz B., Rapoport S.I. Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. Arch. Gen. Psychiatry. 1996;53:585-594.

    Not in our library10.1001/archpsyc.1996.01830070031007

36. 36.

    Paulus M.P., Stein M.B. An insular view of anxiety. Biol. Psychiatry. 2006;60:383-387.

    Not in our library10.1016/j.biopsych.2006.03.042

37. 37.

    Phillips M.L., Drevets W.C., Rauch S.L., Lane R. Neurobiology of emotion perception. I: The neural basis of normal emotion perception. Biol. Psychiatry. 2003;54:504-514.

    Not in our library10.1016/s0006-3223(03)00168-9

38. 38.

    Phillips M.L., Drevets W.C., Rauch S.L., Lane R. Neurobiology of emotion perception. II: Implications for major psychiatric disorders. Biol. Psychiatry. 2003;54:515-528.

    Not in our library10.1016/s0006-3223(03)00171-9

39. 39.

    Pieperhoff P., Homke L., Schneider F., Habel U., Shah N.J., Zilles K., Amunts K. Deformation field morphometry reveals age-related structural differences between the brains of adults up to 51 years. J. Neurosci. 2008;28:828-842.

    Not in our library10.1523/jneurosci.3732-07.2008

40. 40.

    Pribram K.H. What makes humanity humane. J. Biomed. Discov. Collab. 2006;1:14.

    Not in our library10.1186/1747-5333-1-15

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