A brief history of voxel-based grey matter analysis in Alzheimer's disease.
J Alzheimers Dis
; 38(3): 647-59, 2014.
Article
em En
| MEDLINE
| ID: mdl-24037033
ABSTRACT
Voxel-based morphometry (VBM) and cortical thickness measurement are common techniques to identify regional atrophy in neurodegenerative diseases such as Alzheimer's disease (AD). Because studies employing these methods draw conclusions regarding patterns of regional cortical degeneration, it is important to be aware of their possible limitations. To evaluate the effect of different VBM versions, we performed voxel-based analyses through successive versions-from SPM99 to SPM8-as well as FSL-VBM on n = 20 AD patients and n = 20 controls. Reproducibility was assessed in an independent sample, again of n = 20 per group, from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Further, we tested the hypothesis that VBM can sensitively detect hippocampal atrophy, but is relatively insensitive to changes in the cortical ribbon, by contrasting VBM with FreeSurfer cortical thickness measurements. The results with both datasets confirmed that VBM preferentially identifies grey matter lesions in the mesial temporal lobe but is largely insensitive to isocortical atrophy. In contrast, FreeSurfer identified thinning of cortical ribbon association cortex more significant in post- rather than pre-Rolandic areas and with relative preservation of primary sensory-motor regions-in other words precisely as would be expected in AD. The results highlight a bias that VBM has toward detecting mesial temporal lobe atrophy. This finding has important implications for interpretation of clinical and cognitive studies in AD.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Mapeamento Encefálico
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Imageamento por Ressonância Magnética
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Córtex Cerebral
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Doença de Alzheimer
Tipo de estudo:
Prognostic_studies
Limite:
Aged
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Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
J Alzheimers Dis
Assunto da revista:
GERIATRIA
/
NEUROLOGIA
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Reino Unido