Literature DB >> 16109364

Preclinical Alzheimer's disease: diagnosis and prediction of progression.

Mei Sian Chong1, Suresh Sahadevan.   

Abstract

BACKGROUND: From the modest but important breakthroughs in the treatment of Alzheimer's disease (AD), diagnostic focus has increasingly shifted to the accurate detection of the earliest phase of the illness. The challenge of distinguishing preclinical AD from changes of normal ageing or established AD, has been recognised in several attempts at clinical classification. Of these attempts, Mayo Clinic's mild cognitive impairment (MCI) has received significant attention, although it has not been internationally accepted. Not all people diagnosed as having MCI will develop AD, hence there is a need to reliably predict progression. RECENT DEVELOPMENTS: Research in the identification of people with MCI who will develop AD via the use of neuropsychological tests, neuroimaging (both structural and functional), CSF analysis, and other biomarkers, either in isolation or in combination, has progressed rapidly. In this article we summarise findings from relevant recent longitudinal studies. WHERE NEXT?: There are increasing calls to recognise the pathological nature of MCI and to develop international diagnostic guidelines. Such uniform application of MCI criteria can then lead to clearer evidence of its diagnostic and therapeutic benefit. In developing these guidelines, the crucial presence of functional deficit arising from cognitive decline (which diagnoses dementia and excludes MCI) needs to be investigated in a standardised manner. Also needed are good-quality normal-values data on the various tests used to predict progression in preclinical AD.

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Year:  2005        PMID: 16109364     DOI: 10.1016/S1474-4422(05)70168-X

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  45 in total

1.  Reduced benefit from mnemonic strategies in early-stage Alzheimer's disease: a brief testing-the-limits paradigm for clinical practice.

Authors:  Ingo Uttner; Niklas Schurig; Christine A F von Arnim; Christian Lange-Asschenfeldt; Hayrettin Tumani; Matthias W Riepe
Journal:  J Neurol       Date:  2010-06-11       Impact factor: 4.849

2.  Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly.

Authors:  Sarah K Madsen; Greg Ver Steeg; Adam Mezher; Neda Jahanshad; Talia M Nir; Xue Hua; Boris A Gutman; Aram Galstyan; Paul M Thompson
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2015-04

Review 3.  The neuroimaging approach to the assessment of mild cognitive impairment.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-06       Impact factor: 9.236

4.  Age-dependent loss of NGF signaling in the rat basal forebrain is due to disrupted MAPK activation.

Authors:  Brice Williams; Ann-Charlotte Granholm; Kumar Sambamurti
Journal:  Neurosci Lett       Date:  2006-12-19       Impact factor: 3.046

5.  Prediction of preclinical Alzheimer's disease: longitudinal rates of change in cognition.

Authors:  Kathryn P Riley; Gregory A Jicha; Daron Davis; Erin L Abner; Gregory E Cooper; Nancy Stiles; Charles D Smith; Richard J Kryscio; Peter T Nelson; Linda J Van Eldik; Frederick A Schmitt
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

Review 6.  Utility of the clinical dementia rating in Asian populations.

Authors:  Wee Shiong Lim; Mei Sian Chong; Suresh Sahadevan
Journal:  Clin Med Res       Date:  2007-03

7.  Dementia: still muddling along?

Authors:  Steve Iliffe; Jill Manthorpe
Journal:  Br J Gen Pract       Date:  2007-08       Impact factor: 5.386

8.  Neurotoxic effects induced by the Drosophila amyloid-beta peptide suggest a conserved toxic function.

Authors:  Katia Carmine-Simmen; Thomas Proctor; Jakob Tschäpe; Burkhard Poeck; Tilman Triphan; Roland Strauss; Doris Kretzschmar
Journal:  Neurobiol Dis       Date:  2008-11-08       Impact factor: 5.996

9.  Semantic memory activation in amnestic mild cognitive impairment.

Authors:  J L Woodard; M Seidenberg; K A Nielson; P Antuono; L Guidotti; S Durgerian; Q Zhang; M Lancaster; N Hantke; A Butts; S M Rao
Journal:  Brain       Date:  2009-06-10       Impact factor: 13.501

10.  Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment.

Authors:  Han Zhang; Xiaobo Chen; Feng Shi; Gang Li; Minjeong Kim; Panteleimon Giannakopoulos; Sven Haller; Dinggang Shen
Journal:  J Alzheimers Dis       Date:  2016-10-04       Impact factor: 4.472

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