Literature DB >> 24950901

Different patterns of brain activation in normal aging and Alzheimer's disease from cognitional sight: meta analysis using activation likelihood estimation.

Saeed Sadigh-Eteghad1, Alireza Majdi2, Mehdi Farhoudi1, Mahnaz Talebi1, Javad Mahmoudi1.   

Abstract

Alzheimer disease (AD) is a chronic neurological disease, frequently affecting cognitional functions. Recently, a large body of neuro-imaging studies have aimed at finding reliable biomarkers of AD for early diagnosis of disease in contrast with healthy elderlies. We intended to have a meta-analytical study on recent functional neuroimaging studies to find the relationship between cognition in AD patients and normal elderlies. A systematic search was conducted to collect functional neuroimaging studies such as positron emission therapy (PET) and functional magnetic resonance imaging (fMRI) in AD patients and healthy elderlies. The coordinates of regions related to cognition were meta-analyzed using the activation likelihood estimation (ALE) method and Sleuth software. P-value map at the false discovery rate (FDR) of P<0.05 thresholds and the clusters with a minimum size of 200 mm(3) were considered. Data were visualized with MANGO software. Forty-one articles that explored the areas activated during cognition in normal elderly subjects and AD patients were found. According to the findings, left middle frontal gyrus and left precuneus are the most activated areas in cognitional tasks in healthy elderlies and AD patients respectively. In normal elderly subjects and AD patients, comparison of ALE maps and reverse contrast showed that insula and left precuneus were the most activated areas in cognitional aspects respectively. With respect to unification of left precuneus activation in cognitional tasks, it seems that this point can be a hallmark in primary differentiation of AD and healthy individuals.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Activation likelihood estimation; Aging; Alzheimer disease; Cognition; Meta-analysis; Neuroimaging

Mesh:

Year:  2014        PMID: 24950901     DOI: 10.1016/j.jns.2014.05.066

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  9 in total

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2.  A Review on the Bioinformatics Tools for Neuroimaging.

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Review 4.  Amyloid-beta: a crucial factor in Alzheimer's disease.

Authors:  Saeed Sadigh-Eteghad; Babak Sabermarouf; Alireza Majdi; Mahnaz Talebi; Mehdi Farhoudi; Javad Mahmoudi
Journal:  Med Princ Pract       Date:  2014-11-27       Impact factor: 1.927

5.  Study of brain morphology change in Alzheimer's disease and amnestic mild cognitive impairment compared with normal controls.

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Review 8.  Drug Development in Alzheimer's Disease: The Contribution of PET and SPECT.

Authors:  Lieven D Declercq; Rik Vandenberghe; Koen Van Laere; Alfons Verbruggen; Guy Bormans
Journal:  Front Pharmacol       Date:  2016-03-31       Impact factor: 5.810

Review 9.  Physical activity and beta-amyloid pathology in Alzheimer's disease: A sound mind in a sound body.

Authors:  Khadije Ebrahimi; Alireza Majdi; Behrouz Baghaiee; Seyed Hojjat Hosseini; Saeed Sadigh-Eteghad
Journal:  EXCLI J       Date:  2017-06-28       Impact factor: 4.068

  9 in total

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