Literature DB >> 15074306

Imaging cerebral atrophy: normal ageing to Alzheimer's disease.

Nick C Fox1, Jonathan M Schott.   

Abstract

CONTEXT: With ageing populations, the prevalence of dementia, especially Alzheimer's disease, is set to soar. Alzheimer's disease is associated with progressive cerebral atrophy, which can be seen on MRI with high resolution. Longitudinal MRI could track disease progression and detect neurodegenerative diseases earlier to allow prompt and specific treatment. Such use of MRI requires accurate understanding of how brain changes in normal ageing differ from those in dementia. STARTING POINT: Recently, Henry Rusinek and colleagues, in a 6-year longitudinal MRI study of initially healthy elderly subjects, showed that an increased rate of atrophy in the medial temporal lobe predicted future cognitive decline with a specificity of 91% and sensitivity of 89% (Radiology 2003; 229: 691-96). WHERE NEXT? As understanding of neurodegenerative diseases increases, specific disease-modifying treatments might become available. Serial MRI could help to determine the efficacy of such treatments, which would be expected to slow the rate of atrophy towards that of normal ageing, and might also detect the onset of neurodegeneration. The amount and pattern of excess atrophy might help to predict the underlying pathological process, allowing specific therapies to be started. As the precision of imaging improves, the ability to distinguish healthy ageing from degenerative dementia should improve.

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Mesh:

Year:  2004        PMID: 15074306     DOI: 10.1016/S0140-6736(04)15441-X

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  139 in total

1.  Effects of intensive glucose lowering on brain structure and function in people with type 2 diabetes (ACCORD MIND): a randomised open-label substudy.

Authors:  Lenore J Launer; Michael E Miller; Jeff D Williamson; Ron M Lazar; Hertzel C Gerstein; Anne M Murray; Mark Sullivan; Karen R Horowitz; Jingzhong Ding; Santica Marcovina; Laura C Lovato; James Lovato; Karen L Margolis; Patrick O'Connor; Edward W Lipkin; Joy Hirsch; Laura Coker; Joseph Maldjian; Jeffrey L Sunshine; Charles Truwit; Christos Davatzikos; R Nick Bryan
Journal:  Lancet Neurol       Date:  2011-09-28       Impact factor: 44.182

2.  Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.

Authors:  Xiaofeng Zhu; Heung-Il Suk; Dinggang Shen
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2014-06

3.  Exercise Mode Moderates the Relationship Between Mobility and Basal Ganglia Volume in Healthy Older Adults.

Authors:  Lindsay S Nagamatsu; Andrea M Weinstein; Kirk I Erickson; Jason Fanning; Elizabeth A Awick; Arthur F Kramer; Edward McAuley
Journal:  J Am Geriatr Soc       Date:  2016-01       Impact factor: 5.562

4.  Observation of Reduced Homeostatic Metabolic Activity and/or Coupling in White Matter Aging.

Authors:  Valerie C Anderson; Ian J Tagge; Xin Li; Joseph F Quinn; Jeffrey A Kaye; Dennis N Bourdette; Rebecca I Spain; Louis P Riccelli; Manoj K Sammi; Charles S Springer; William D Rooney
Journal:  J Neuroimaging       Date:  2020-06-17       Impact factor: 2.486

5.  Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.

Authors:  Xiaofeng Zhu; Heung-Il Suk; Seong-Whan Lee; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-11       Impact factor: 4.538

6.  Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Authors:  Jongin Kim; Boreom Lee
Journal:  Hum Brain Mapp       Date:  2018-05-07       Impact factor: 5.038

Review 7.  Biomarker modelling of early molecular changes in Alzheimer's disease.

Authors:  Ross W Paterson; Jamie Toombs; Catherine F Slattery; Jonathan M Schott; Henrik Zetterberg
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

8.  Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.

Authors:  Xiaofeng Zhu; Heung-Il Suk; Heng Huang; Dinggang Shen
Journal:  IEEE Trans Big Data       Date:  2017-08-04

9.  Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Authors:  Susanne G Mueller; Michael W Weiner; Leon J Thal; Ronald C Petersen; Clifford R Jack; William Jagust; John Q Trojanowski; Arthur W Toga; Laurel Beckett
Journal:  Alzheimers Dement       Date:  2005-07       Impact factor: 21.566

Review 10.  Why do so many drugs for Alzheimer's disease fail in development? Time for new methods and new practices?

Authors:  Robert E Becker; Nigel H Greig; Ezio Giacobini
Journal:  J Alzheimers Dis       Date:  2008-10       Impact factor: 4.472

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