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Automatic differentiation of anatomical patterns in the human brain: validation with studies of degenerative dementias.

journal contribution
posted on 2023-06-08, 10:47 authored by Catriona D Good, Rachael I Scahill, Nick C Fox, John Ashburner, Karl J Friston, Dennis Chan, William R Crum, Martin N. Rossor, Richard S J Frackowiak
We compared voxel-based morphometry (VBM) with independent accurate region-of-interest (ROI) measurements of temporal lobe structures in order to validate the usefulness of this fully automated and unbiased technique in Alzheimer's disease (AD) and semantic dementia (SD). In AD, ROI analyses appear more sensitive to volume loss in the amygdalae, whereas VBM analyses appear more sensitive to right middle temporal gyrus and regional hippocampal volume loss. In SD, ROI analyses appear more sensitive to left middle and inferior temporal gyrus volume loss, whereas VBM appears more sensitive to regional hippocampal volume loss. In addition the significance of volume reductions was generally less in VBM owing to more stringent corrections for multiple comparisons. In conclusion, the automated technique detects a general trend of atrophy similar to that of expertly labeled ROI measurements in AD and SD, although there are discrepancies in the ranking of severity and in the significance of volume reductions that are more marked in AD.

History

Publication status

  • Published

Journal

Neuroimage

ISSN

1053-8119

Issue

1

Volume

17

Page range

29-46

Pages

17.0

Notes

This study accurately maps the structural brain phenotype of dementia and is a robust validation of voxel based morphometry as a useful unbiased brain imaging technique. It demonstrates global and regionally specific effects and highlights early parietal involvement, previously not documented. I led the study, conducted recruitment, imaging, analysis and wrote manuscript.

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-21

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