Literature DB >> 18395233

Neuropsychological correlates of whole brain atrophy in Alzheimer's disease.

J M Schott1, S J Crutch, C Frost, E K Warrington, M N Rossor, N C Fox.   

Abstract

Alzheimer's disease (AD) is associated with excess whole brain volume loss, and progressive cognitive impairment. We aimed to study the extent to which these two potential biomarkers of AD progression are correlated. Forty-six patients with sporadic AD were tested with a neuropsychometric battery including test of verbal and visual memory, vocabulary, arithmetic, naming, visuoperceptual skills and reasoning at two time-points, approximately 1 year apart; annualised rates of change for each test were calculated. Each subject also attended for up to twelve T1-weighted volumetric MRI scans at fixed intervals over a 2-year period. For each individual all possible scan-pairs were positionally registered, and whole brain atrophy rates were calculated using the brain boundary shift integral. Linear mixed models were used to investigate associations between atrophy rate and coincident change in each neuropsychometric score. Each model estimated the effect of a unit change in score, plus the additional effect of a fall to floor, after adjusting for baseline levels. 467 MRI scans were performed, permitting 2199 individual measures of change to be made. The model-derived mean atrophy rate was 2.23% per year with a between-subject SD of 0.99% per year. Increasing atrophy rate was significantly associated with rate of change in a number of non-memory based neuropsychological scores, with the strongest association seen with longitudinal change in matrix reasoning (p=0.004). These results provide further evidence that cerebral atrophy is a clinically relevant marker of AD progression. This methodology whereby data from patients falling to floor on a given test may be included and accounted for, rather than discarded, may find broader application in clinical studies incorporating neuropsychometric outcomes.

Entities:  

Mesh:

Year:  2008        PMID: 18395233     DOI: 10.1016/j.neuropsychologia.2008.02.015

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  21 in total

1.  Relationship between regional atrophy rates and cognitive decline in mild cognitive impairment.

Authors:  Carrie R McDonald; Lusineh Gharapetian; Linda K McEvoy; Christine Fennema-Notestine; Donald J Hagler; Dominic Holland; Anders M Dale
Journal:  Neurobiol Aging       Date:  2010-05-14       Impact factor: 4.673

Review 2.  Progression of atrophy in Alzheimer's disease and related disorders.

Authors:  Jennifer L Whitwell
Journal:  Neurotox Res       Date:  2010-03-30       Impact factor: 3.911

Review 3.  The clinical use of structural MRI in Alzheimer disease.

Authors:  Giovanni B Frisoni; Nick C Fox; Clifford R Jack; Philip Scheltens; Paul M Thompson
Journal:  Nat Rev Neurol       Date:  2010-02       Impact factor: 42.937

4.  Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment.

Authors:  J M Schott; J W Bartlett; J Barnes; K K Leung; S Ourselin; N C Fox
Journal:  Neurobiol Aging       Date:  2010-08       Impact factor: 4.673

5.  Short echo time proton magnetic resonance spectroscopy in Alzheimer's disease: a longitudinal multiple time point study.

Authors:  Jonathan M Schott; Chris Frost; David G MacManus; Fowzia Ibrahim; Adam D Waldman; Nick C Fox
Journal:  Brain       Date:  2010-08-25       Impact factor: 13.501

Review 6.  Cognitive phenotypes, brain morphometry and the detection of cognitive decline in preclinical AD.

Authors:  Mark W Jacobson; Linda K McEvoy; Anders Dale; Christine Fennema-Notestine
Journal:  Behav Neurol       Date:  2009       Impact factor: 3.342

7.  Brain functional connectivity analysis based on multi-graph fusion.

Authors:  Jiangzhang Gan; Ziwen Peng; Xiaofeng Zhu; Rongyao Hu; Junbo Ma; Guorong Wu
Journal:  Med Image Anal       Date:  2021-04-09       Impact factor: 8.545

8.  Biomarkers in Alzheimer's disease.

Authors:  Mario Riverol; Oscar L López
Journal:  Front Neurol       Date:  2011-07-14       Impact factor: 4.003

Review 9.  Using structural and diffusion magnetic resonance imaging to differentiate the dementias.

Authors:  Sana Suri; Anya Topiwala; Clare E Mackay; Klaus P Ebmeier; Nicola Filippini
Journal:  Curr Neurol Neurosci Rep       Date:  2014-09       Impact factor: 5.081

10.  Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification.

Authors:  Rongyao Hu; Ziwen Peng; Xiaofeng Zhu; Jiangzhang Gan; Yonghua Zhu; Junbo Ma; Guorong Wu
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.