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Cited by 806

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline

O’Sullivan, M., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S. C. R., Markus, H. S.·2001·Neurology
DOI 10.1212/wnl.57.4.632
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Abstract

BACKGROUND: Normal aging is accompanied by a decline of cognitive abilities, and executive skills may be affected selectively, but the underlying mechanisms remain obscure and preventive strategies are lacking. It has been suggested that cortical "disconnection" due to the loss of white matter fibers may play an important role. But, to date, there has been no direct demonstration of structural disconnection in humans in vivo. METHODS: The authors used diffusion tensor MRI to look for evidence of ultrastructural changes in cerebral white matter in a group of 20 elderly volunteers with normal conventional MRI scans, and a group of 10 younger controls. The older group also underwent neuropsychological assessment. RESULTS: Diffusional anisotropy, a marker of white matter tract integrity, was reduced in the white matter of older subjects and fell linearly with increasing age in the older group. Mean diffusivity was higher in the older group and increased with age. These changes were maximal in anterior white matter. In the older group, anterior mean diffusivity correlated with executive function assessed by the Trail Making Test. CONCLUSIONS: These findings provide direct evidence that white matter tract disruption occurs in normal aging and would be consistent with the cortical disconnection hypothesis of age-related cognitive decline. Maximal changes in anterior white matter provide a plausible structural basis for selective loss of executive functions. In addition to providing new information about the biological basis of cognitive abilities, diffusion tensor MRI may be a sensitive tool for assessing interventions aimed at preventing cognitive decline.

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Research works printed but not linked: 24

  1. 10.1093/brain/88.2.237 · DOI · Paper page
  2. 10.1006/nimg.1996.0026 · DOI
  3. 10.1093/brain/122.5.963 · DOI
  4. 10.1016/S0197-4580(97)00155-3 · DOI · Paper page
  5. 10.1002/ana.410420617 · DOI · Paper page
  6. 10.1097/00004728-199501000-00005 · DOI · Paper page
  7. 10.1161/01.STR.30.2.393 · DOI · Paper page
  8. 10.1212/WNL.53.5.1051 · DOI · Paper page
  9. 10.1001/archpsyc.56.4.367 · DOI · Paper page
  10. 10.1016/S0896-6273(00)80911-3 · DOI · Paper page
  11. 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q · DOI
  12. 10.1006/jmrb.1996.0086 · DOI · Paper page
  13. Bland JM. An introduction to medical statistics 3rd ed. Oxford: Oxford University Press 2000.
  14. 10.1002/(SICI)1097-0193(200003)9:3<165::AID-HBM5>3.0.CO;2-P · doi:10.1002/(sici)1097-0193(200003)9:3<165::aid-hbm5>3.0.co;2-p
  15. 10.1097/00001756-199909090-00022 · DOI · Paper page
  16. 10.1016/0028-3932(95)00097-6 · DOI
  17. 10.1080/01688639308402605 · DOI
  18. 10.1002/(SICI)1096-9861(19960715)371:1<153::AID-CNE9>3.0.CO;2-2 · doi:10.1002/(sici)1096-9861(19960715)371:1<153::aid-cne9>3.0.co;2-2
  19. 10.1016/0028-3932(95)00035-2 · DOI · Paper page
  20. 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O · doi:10.1002/1522-2594(200010)44:4<625::aid-mrm17>3.0.co;2-o
  21. 10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3 · doi:10.1002/1531-8249(199902)45:2<265::aid-ana21>3.0.co;2-3
  22. 10.1002/mrm.1910360612 · DOI · Paper page
  23. 10.1007/s004010050792 · DOI
  24. 10.1016/S0197-4580(99)00066-4 · DOI

Cited by

Metadata

Authors
O’Sullivan, M., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S. C. R., & Markus, H. S.
Venue
Neurology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2001-08-28
Volume
57
Issue
4
Pages
632-638
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
DOI
10.1212/wnl.57.4.632
OpenAlex
W1963663815
Cited by
806
References
3
FWCI
20.20
Type
journal article
Language
en
Open access
closed

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