All data collection and analysis methods have limitations: Reply to rabbitt (2011) and raz and lindenberger (2011)

Psychological Bulletin

Volumn 137, Issue 5, 2011, Pages 796-799

  Salthouse, Timothy A ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Cross sectional; Longitudinal; Mediation; Moderation

Indexed keywords

AGING; BRAIN; COGNITIVE DEFECT; HUMAN; NOTE; PATHOLOGY;

AGING; BRAIN; COGNITION DISORDERS; HUMANS;

EID: 80052235197     PISSN: 00332909     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0024843     Document Type: Note

References (30)

1. Abe O., Yamasue H., Aoki S., Suga M., Yamada H., Kasai K., Ohtomo K. Aging in the CNS: Comparison of gray/white matter volume and diffusion tensor data. Neurobiology of Aging 2008, 29:102-116. 10.1016/j.neurobiolaging.2006.09.003.
2. 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. Neurobiology of Aging 2005, 26:1245-1260. 10.1016/j.neurobiolaging.2005.05.023.
3. Charlton R.A., Barrick T.R., McIntyre D.J., Shen Y., O'Sullivan M., Howe F.A., Markus H.S. White matter damage on diffusion tensor imaging correlates with age-related cognitive decline. Neurology 2006, 66:217-222. 10.1212/01.wnl.0000194256.15247.83.
4. DeCarli C., Massaro J., Harvey D., Hald J., Tullberg M., Au R., Wolf P.A. Measures of brain morphology and infarction in the Framingham Heart Study: Establishing what is normal. Neurobiology of Aging 2005, 26:491-510. 10.1016/j.neurobiolaging.2004.05.004.
5. Ecker C., Stahl D., Daly E., Johnston P., Thomson A., Murphy D.G.M. Is there a common underlying mechanism for age-related decline in cortical thickness?. NeuroReport 2009, 20:1155-1160. 10.1097/WNR.0b013e32832ec181.
6. Fotenos A.F., Mintun M.A., Snyder A.Z., Morris J.C., Buckner R.L. Brain volume decline in aging: Evidence for a relation between socioeconomic status, preclinical Alzheimer disease and reserve. Archives of Neurology 2008, 65:113-120. 10.1001/archneurol.2007.27.
7. Fotenos A.F., Snyder A.Z., Girton L.E., Morris J.C., Buckner R.L. Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology 2005, 64:1032-1039. 10.1212/01.WNL.0000154530.72969.11.
8. Good C.D., Johnsrude I.S., Ashburner J., Henson R.N.A., Friston K.J., Frackowiak R.S.J. A voxel-based morphometric study of ageing in 465 normal adult brains. NeuroImage 2001, 14:21-36. 10.1006/nimg.2001.0786.
9. Grieve S.M., Williams L.M., Paul R.H., Clark C.R., Gordon E. Cognitive aging, executive function, and fractional anisotropy: A diffusion tensor MR imaging study. American Journal of Neuroradiology 2007, 28:226-235.
10. Hsu J.-L., Leemans A., Bai C.-H., Lee C.-H., Tsai Y.-F., Chiu H.-C., Chen W.-H. Gender differences and age-related white matter changes of the human brain: A diffusion tensor imaging study. NeuroImage 2008, 39:566-577. 10.1016/j.neuroimage.2007.09.017.
11. Kennedy K.M., Erickson K.I., Rodrigue K.M., Voss M.W., Colcombe S.J., Kramer A.F., Raz N. Age-related differences in regional brain volumes: A comparison of optimized voxel-based morphometry to manual volumetry. Neurobiology of Aging 2009, 30:1657-1676. 10.1016/j.neurobiolaging.2007.12.020.
12. Kraemer H.C., Kiernan M., Essex M., Kupfer D.J. How and why criteria defining moderators and mediators differ between the Baron & Kenny and MacArthur approaches. Health Psychology 2008, 27(Suppl. 2):S101-S108. 10.1037/0278-6133.27.2(Suppl.).S101.
13. 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?. Neurobiology of Aging 2010, Advance online publication. 10.1016/j.neurobiolaging.2010.07.013.
14. Michielse S., Coupland N., Camicioli R., Carter R., Seres P., Sabino J., Malykhin N. Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study. NeuroImage 2010, 52:1190-1201. 10.1016/j.neuroimage.2010.05.019.
15. Rabbitt P. Between-individual variability and interpretation of associations between neurophysiological and behavioral measures in aging populations: Comment on Salthouse (2011). Psychological Bulletin 2011, 137:785-789. 10.1037/a0024580.
16. Raz N., Lindenberger U. Only time will tell: Cross-sectional studies offer no solution to the age-brain-cognition triangle: Comment on Salthouse (2011). Psychological Bulletin 2011, 137:790-795. 10.1037/a0024503.
17. Rovaris M., Iannucci G., Cercignani M., Sormani M.P., de Stefano N., Gerevini S., Fillippi M. Age-related changes in conventional, magnetization transfer, and diffusion-tensor MR imaging findings: Study with whole-brain tissue histogram analysis. Radiology 2003, 227:731-738. 10.1148/radiol.2273020721.
18. Salat D.H., Buckner R.L., Snyder A.Z., Greve D.N., Desikan R.S.R., Busa E., Fischl B. Thinning of the cerebral cortex in aging. Cerebral Cortex 2004, 14:721-730. 10.1093/cercor/bhh032.
19. Salat D.H., Tuch D.S., Greve D.N., van der Kouwe A.J.W., Hevelone N.D., Zaleta A.K., Dale A.M. Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology of Aging 2005, 26:1215-1227. 10.1016/j.neurobiolaging.2004.09.017.
20. Salthouse T.A. Major issues in cognitive aging 2010, Oxford University Press, New York, NY.
21. Salthouse T.A. Cognitive correlates of cross-sectional differences and longitudinal changes in trail making performance. Journal of Clinical and Experimental Neuropsychology 2011, 33:242-248. 10.1080/13803395.2010.509922.
22. Salthouse T.A. Neuroanatomical substrates of age-related cognitive decline. Psychological Bulletin 2011, 137:753-784. 10.1037/a0023262.
23. Soubelet A., Salthouse T.A. Correlates of level and change in the Mini-Mental State Examination. Psychological Assessment 2011, Advance online publication. 10.1037/a0023401.
24. Sowell E.R., Peterson B.S., Thompson P.M., Welcome S.E., Henkenius A.L., Toga A.W. Mapping cortical change across the human life span. Nature Neuroscience 2003, 6:309-315. 10.1038/nn1008.
25. Stadlbauer A., Salomonowitz E., Strunk G., Hammen T., Ganslandt O. Age-related degradation in the central nervous system: Assessment with diffusion-tensor imaging and quantitative fiber tracking. Radiology 2008, 247:179-188. 10.1148/radiol.2471070707.
26. Sullivan E.V., Pfefferbaum A. Diffusion tensor imaging and aging. Neuroscience & Biobehavioral Reviews 2006, 30:749-761. 10.1016/j.neubiorev.2006.06.002.
27. Voineskos A.N., Rajji T.K., Lobaugh N.J., Miranda D., Shenton M.E., Kennedy J.L., Mulsant B.H. Age-related decline in white matter tract integrity and cognitive performance: A DTI tractography and structural equation modeling study. Neurobiology of Aging 2010, Advance online publication. 10.1016/j.neurobiolaging.2010.02.009.
28. Walhovd K.B., Westlye L.T., Amlien I., Espeseth T., Reinvang I., Raz N., Fjell A.M. Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiology of Aging 2009, Advance online publication. 10.1016/j.neurobiolaging.2009.05.013.
29. Westlye L.T., Walhovd K.B., Dale A.M., Bjornerud A., Due-Tonnessen P., Engvig A., Fjell A.M. Life-span changes of the human brain white matter: Diffusion tensor imaging (DTI) and volumetry. Cerebral Cortex 2010, 20:2055-2068. 10.1093/cercor/bhp280.
30. Zimmerman M.E., Brickman A.M., Paul R.H., Grieve S.M., Tate D.F., Gunstad J., Gordon E. The relationship between frontal gray matter volume and cognition varies across the healthy adult lifespan. American Journal of Geriatric Psychiatry 2006, 14:823-833. 10.1097/01.JGP.0000238502.40963.ac.