Literature DB >> 25271010

Clinical workout for the early detection of cognitive decline and dementia.

M Tsolaki1.   

Abstract

Aging is the major risk factor for the development of human neurodegenerative maladies such as Alzheimer's, Huntington's and Parkinson's diseases (PDs) and prion disorders, all of which stem from toxic protein aggregation. All of these diseases are correlated with cognitive decline. Cognitive Decline is a dynamic state from normal cognition of aging to dementia. According to the original criteria for Alzheimer's Disease (AD) (1984), a clinical diagnosis was possible only when someone was already demented. The prevalence rates of Cognitive Decline (mild cognitive impairment plus dementia) are very high now and will be higher in future because of the increasing survival time of people. Many neurological and psychiatric diseases are correlated with cognitive decline. Diagnosis of cognitive decline is mostly clinical (clinical criteria), but there are multiple biomarkers that could help us mostly in research programs such as short or long, paper and pencil or computerized neuropsychological batteries for cognition, activities of daily living and behavior, electroencephalograph, event-related potentials, and imaging-structural magnetic resonance imaging (MRI) and functional (fMRI, Pittsburgh bound positron emission tomography, FDG-PET, single photon emission computerized tomography and imaging of tau pathology)-cerebrospinal fluid proteins (Abeta, tau and phospho-tau in AD and α-synuclein (αSyn) for PD). Blood biomarkers need more studies to confirm their usefulness. Genetic markers are also studied but until now are not used in clinical praxis. Finally, in everyday clinical praxis and in research workout for early detection of cognitive decline, the combination of biomarkers is useful.

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Year:  2014        PMID: 25271010     DOI: 10.1038/ejcn.2014.189

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  48 in total

1.  Widespread alterations in functional brain network architecture in amnestic mild cognitive impairment.

Authors:  Ludovico Minati; Dennis Chan; Chiara Mastropasqua; Laura Serra; Barbara Spanò; Camillo Marra; Carlo Caltagirone; Mara Cercignani; Marco Bozzali
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

Review 2.  Alzheimer disease: from biomarkers to diagnosis.

Authors:  B Dubois; S Epelbaum; A Santos; F Di Stefano; A Julian; A Michon; M Sarazin; H Hampel
Journal:  Rev Neurol (Paris)       Date:  2013-09-13       Impact factor: 2.607

3.  Activities of daily living: where do they fit in the diagnosis of Alzheimer's disease?

Authors:  Gad A Marshall; Rebecca E Amariglio; Reisa A Sperling; Dorene M Rentz
Journal:  Neurodegener Dis Manag       Date:  2012-10-01

Review 4.  Cerebral white matter hyperintensities in the prediction of cognitive decline and incident dementia.

Authors:  Marion Mortamais; Sylvaine Artero; Karen Ritchie
Journal:  Int Rev Psychiatry       Date:  2013-12

5.  Mild cognitive impairment in a community sample: the Sydney Memory and Ageing Study.

Authors:  Henry Brodaty; Megan Heffernan; Nicole A Kochan; Brian Draper; Julian N Trollor; Simone Reppermund; Melissa J Slavin; Perminder S Sachdev
Journal:  Alzheimers Dement       Date:  2012-10-27       Impact factor: 21.566

6.  CSF biomarker changes precede symptom onset of mild cognitive impairment.

Authors:  Abhay Moghekar; Shanshan Li; Yi Lu; Ming Li; Mei-Cheng Wang; Marilyn Albert; Richard O'Brien
Journal:  Neurology       Date:  2013-10-16       Impact factor: 9.910

7.  Cortical atrophy in presymptomatic Alzheimer's disease presenilin 1 mutation carriers.

Authors:  Yakeel T Quiroz; Chantal E Stern; Eric M Reiman; Michael Brickhouse; Adriana Ruiz; Reisa A Sperling; Francisco Lopera; Bradford C Dickerson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2012-11-07       Impact factor: 10.154

Review 8.  Promising developments in neuropsychological approaches for the detection of preclinical Alzheimer's disease: a selective review.

Authors:  Dorene M Rentz; Mario A Parra Rodriguez; Rebecca Amariglio; Yaakov Stern; Reisa Sperling; Steven Ferris
Journal:  Alzheimers Res Ther       Date:  2013-11-21       Impact factor: 6.982

9.  Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects.

Authors:  Michael Ewers; Matthias Brendel; Angela Rizk-Jackson; Axel Rominger; Peter Bartenstein; Norbert Schuff; Michael W Weiner
Journal:  Neuroimage Clin       Date:  2013-11-04       Impact factor: 4.881

10.  Plasma proteins predict conversion to dementia from prodromal disease.

Authors:  Abdul Hye; Joanna Riddoch-Contreras; Alison L Baird; Nicholas J Ashton; Chantal Bazenet; Rufina Leung; Eric Westman; Andrew Simmons; Richard Dobson; Martina Sattlecker; Michelle Lupton; Katie Lunnon; Aoife Keohane; Malcolm Ward; Ian Pike; Hans Dieter Zucht; Danielle Pepin; Wei Zheng; Alan Tunnicliffe; Jill Richardson; Serge Gauthier; Hilkka Soininen; Iwona Kłoszewska; Patrizia Mecocci; Magda Tsolaki; Bruno Vellas; Simon Lovestone
Journal:  Alzheimers Dement       Date:  2014-07-08       Impact factor: 21.566

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  4 in total

Review 1.  Analysis of RNA from Alzheimer's Disease Post-mortem Brain Tissues.

Authors:  Christian Clement; James M Hill; Prerna Dua; Frank Culicchia; Walter J Lukiw
Journal:  Mol Neurobiol       Date:  2015-01-29       Impact factor: 5.590

2.  G-395A polymorphism in the promoter region of the KLOTHO gene associates with reduced cognitive impairment among the oldest old.

Authors:  Qiukui Hao; Xiang Ding; Langli Gao; Ming Yang; Birong Dong
Journal:  Age (Dordr)       Date:  2016-01-05

3.  NRSF and BDNF polymorphisms as biomarkers of cognitive dysfunction in adults with newly diagnosed epilepsy.

Authors:  Alix Warburton; Fabio Miyajima; Kanvel Shazadi; Joanne Crossley; Michael R Johnson; Anthony G Marson; Gus A Baker; John P Quinn; Graeme J Sills
Journal:  Epilepsy Behav       Date:  2015-12-17       Impact factor: 2.937

4.  Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition.

Authors:  Bin Han; Huashuai Chen; Yao Yao; Xiaomin Liu; Chao Nie; Junxia Min; Yi Zeng; Michael W Lutz
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  4 in total

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