Literature DB >> 23011220

Prediction of amyloid-β pathology in amnestic mild cognitive impairment with neuropsychological tests.

Alex Bahar-Fuchs1, Victor Villemagne, Kevin Ong, Gaël Chetélat, Fiona Lamb, Cornelia B Reininger, Michael Woodward, Christopher C Rowe.   

Abstract

Assessment of disease biomarkers, particularly the in vivo assessment of amyloid-β (Aβ) burden with positron emission tomography (PET), is gradually becoming central to the diagnosis of mild cognitive impairment (MCI) due to Alzheimer's disease (AD). However, the incorporation of biomarker evidence to the diagnostic process is currently restricted mainly to research settings. The identification of memory measures that are associated with Aβ is of clinical relevance as this may enhance the confidence in making a diagnosis of MCI due to AD in clinical settings. Forty one persons with amnestic MCI underwent Aβ imaging with (18)F-Florbetaben PET, magnetic resonance imaging, and a comprehensive neuropsychological assessment. All measures of episodic memory were significantly correlated with Aβ burden, but regression analyses revealed a strong and selective association between story recall and Aβ over and beyond the effects of age, education, global cognition, hippocampal volume, or other memory tests. Analyses of sensitivity and specificity of memory measures to detect high versus low Aβ scans suggested that word-list recall performed better when high sensitivity was preferred, whereas story recall performed better when high specificity was preferred. In conclusion, a measure of story recall may increase the confidence in making a diagnosis of MCI due to AD in clinical settings.

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Year:  2013        PMID: 23011220     DOI: 10.3233/JAD-2012-121315

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  16 in total

Review 1.  Understanding cognitive deficits in Alzheimer's disease based on neuroimaging findings.

Authors:  Meredith N Braskie; Paul M Thompson
Journal:  Trends Cogn Sci       Date:  2013-09-09       Impact factor: 20.229

2.  The MoCA-Memory Index Score: An Efficient Alternative to Paragraph Recall for the Detection of Amnestic Mild Cognitive Impairment.

Authors:  Antarpreet Kaur; Steven D Edland; Guerry M Peavy
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Apr-Jun       Impact factor: 2.703

3.  Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth.

Authors:  Kelly R Murphy; Susan M Landau; Kingshuk Roy Choudhury; Christopher A Hostage; Katie S Shpanskaya; Haris I Sair; Jeffrey R Petrella; Terence Z Wong; P Murali Doraiswamy
Journal:  Neuroimage       Date:  2013-04-23       Impact factor: 6.556

4.  Evaluation of two automated methods for PET region of interest analysis.

Authors:  Martin Schain; Katarina Varnäs; Zsolt Cselényi; Christer Halldin; Lars Farde; Andrea Varrone
Journal:  Neuroinformatics       Date:  2014-10

Review 5.  18F PET with florbetaben for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).

Authors:  Gabriel Martínez; Robin Wm Vernooij; Paulina Fuentes Padilla; Javier Zamora; Leon Flicker; Xavier Bonfill Cosp
Journal:  Cochrane Database Syst Rev       Date:  2017-11-22

6.  Predictive Scale for Amyloid PET Positivity Based on Clinical and MRI Variables in Patients with Amnestic Mild Cognitive Impairment.

Authors:  Min Young Chun; Geon Ha Kim; Hee Kyung Park; Dong Won Yang; SangYun Kim; Seong Hye Choi; Jee Hyang Jeong
Journal:  J Clin Med       Date:  2022-06-15       Impact factor: 4.964

7.  Establishing In-House Cutoffs of CSF Alzheimer's Disease Biomarkers for the AT(N) Stratification of the Alzheimer Center Barcelona Cohort.

Authors:  Adelina Orellana; Pablo García-González; Sergi Valero; Laura Montrreal; Itziar de Rojas; Isabel Hernández; Maitee Rosende-Roca; Liliana Vargas; Juan Pablo Tartari; Ester Esteban-De Antonio; Urszula Bojaryn; Leire Narvaiza; Emilio Alarcón-Martín; Montserrat Alegret; Daniel Alcolea; Alberto Lleó; Lluís Tárraga; Vanesa Pytel; Amanda Cano; Marta Marquié; Mercè Boada; Agustín Ruiz
Journal:  Int J Mol Sci       Date:  2022-06-21       Impact factor: 6.208

8.  Neuroimaging predictors of brain amyloidosis in mild cognitive impairment.

Authors:  Duygu Tosun; Sarang Joshi; Michael W Weiner
Journal:  Ann Neurol       Date:  2013-09-10       Impact factor: 10.422

Review 9.  Beta-amyloid imaging with florbetaben.

Authors:  Osama Sabri; John Seibyl; Christopher Rowe; Henryk Barthel
Journal:  Clin Transl Imaging       Date:  2015-02-12

10.  (18)F-florbetaben Aβ imaging in mild cognitive impairment.

Authors:  Kevin Ong; Victor L Villemagne; Alex Bahar-Fuchs; Fiona Lamb; Gaël Chételat; Parnesh Raniga; Rachel S Mulligan; Olivier Salvado; Barbara Putz; Katrin Roth; Colin L Masters; Cornelia B Reininger; Christopher C Rowe
Journal:  Alzheimers Res Ther       Date:  2013-01-16       Impact factor: 6.982

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