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Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer’s Disease

Overview of attention for article published in PLOS ONE, March 2014
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Title
Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer’s Disease
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090814
Pubmed ID
Authors

Lars Frings, Belinda Yew, Emma Flanagan, Bonnie Y. K. Lam, Michael Hüll, Hans-Jürgen Huppertz, John R. Hodges, Michael Hornberger

Abstract

Behavioural variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) dementia are characterised by progressive brain atrophy. Longitudinal MRI volumetry may help to characterise ongoing structural degeneration and support the differential diagnosis of dementia subtypes. Automated, observer-independent atlas-based MRI volumetry was applied to analyse 102 MRI data sets from 15 bvFTD, 14 AD, and 10 healthy elderly control participants with consecutive scans over at least 12 months. Anatomically defined targets were chosen a priori as brain structures of interest. Groups were compared regarding volumes at clinic presentation and annual change rates. Baseline volumes, especially of grey matter compartments, were significantly reduced in bvFTD and AD patients. Grey matter volumes of the caudate and the gyrus rectus were significantly smaller in bvFTD than AD. The bvFTD group could be separated from AD on the basis of caudate volume with high accuracy (79% cases correct). Annual volume decline was markedly larger in bvFTD and AD than controls, predominantly in white matter of temporal structures. Decline in grey matter volume of the lateral orbitofrontal gyrus separated bvFTD from AD and controls. Automated longitudinal MRI volumetry discriminates bvFTD from AD. In particular, greater reduction of orbitofrontal grey matter and temporal white matter structures after 12 months is indicative of bvFTD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 24 20%
Student > Bachelor 10 8%
Student > Master 8 7%
Student > Doctoral Student 7 6%
Other 20 17%
Unknown 21 18%
Readers by discipline Count As %
Medicine and Dentistry 28 24%
Neuroscience 23 19%
Psychology 21 18%
Agricultural and Biological Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 5%
Unknown 32 27%