4.2 Article

Structural neuroimaging in the detection and prognosis of pre-clinical and early AD

期刊

BEHAVIOURAL NEUROLOGY
卷 21, 期 1-2, 页码 3-12

出版社

HINDAWI LTD
DOI: 10.1155/2009/698156

关键词

MRI; Alzheimer's disease; Mild Cognitive Impairment (MCI); morphometry; brain imaging

资金

  1. National Center for Research Resources [U24 RR021382]
  2. National Institute on Aging [R01AG22381, K01AG029218]
  3. Department of Veterans Affairs
  4. Alzheimer's Disease Neuroimaging Initiative
  5. NIH [U01 AG024904]
  6. National Institute of Biomedical Imaging and Bioengineering (NIBIB)
  7. Wyeth Research
  8. Bristol-Myers Squibb
  9. Eli Lilly and Company
  10. GlaxoSmithKline
  11. Merck Co. Inc.
  12. AstraZeneca AB
  13. Novartis Pharmaceuticals Corporation
  14. Alzheimer's Association
  15. Eisai Global Clinical Development
  16. Elan Corporation plc
  17. Forest Laboratories
  18. Institute for the Study of Aging
  19. U.S. Food and Drug Administration
  20. Foundation for the National Institutes of Health
  21. Northern California Institute for Research and Education
  22. University of California, San Diego
  23. University of California, Los Angeles
  24. NATIONAL CENTER FOR RESEARCH RESOURCES [U24RR021382] Funding Source: NIH RePORTER
  25. NATIONAL INSTITUTE ON AGING [U01AG024904, K01AG029218, R01AG022381, U19AG010483, R01AG031224] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Current research supports the strong potential of structural MRI profiles, even within cross-sectional designs, as a promising method for the discrimination of Alzheimer's Disease (AD) from normal controls and for the prediction of Mild Cognitive Impairment (MCI) progression and conversion to AD. Findings suggest that measures of structural change in mesial and lateral temporal, cingulate, parietal and midfrontal areas may facilitate the assessment of a treatment's ability to halt the progressive structural loss that accompanies clinical decline in MCI. The performance of prediction is likely to continue to improve with the incorporation of measures from other neuroimaging modalities, clinical assessments, and neuromedical biomarkers, as the regional profile of individuals at risk for progression is refined.

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