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Pathophysiology of the behavioral variant of frontotemporal lobar degeneration: A study combining MRI and FDG-PET

Overview of attention for article published in Brain Imaging and Behavior, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 news outlet
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Citations

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33 Dimensions

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52 Mendeley
Title
Pathophysiology of the behavioral variant of frontotemporal lobar degeneration: A study combining MRI and FDG-PET
Published in
Brain Imaging and Behavior, February 2016
DOI 10.1007/s11682-016-9521-x
Pubmed ID
Authors

M-S. Buhour, F. Doidy, M. Laisney, A. L. Pitel, V. de La Sayette, F. Viader, F. Eustache, B. Desgranges

Abstract

Gray matter (GM) lobar atrophy and glucose hypometabolism are well-described hallmarks of frontotemporal lobar degeneration (FTLD), but the relationships between them are still poorly understood. In this study, we aimed to show the patterns of GM atrophy and hypometabolism in a sample of 15 patients with the behavioral variant of FTLD (bv-FTD), compared to 15 healthy controls, then to provide a direct comparison between GM atrophy and hypometabolism, using a voxel-based method specially designed to statistically compare the two imaging modalities. The participants underwent structural magnetic resonance imaging and (18)F-fluorodeoxyglucose (FDG) positron emission tomography examinations. First, between-group comparisons of GM volume and metabolism were performed. Then, in the patient group, correlations between regional alterations and direct between-modality voxelwise comparison were performed. Finally, we examined individual patterns of brain abnormalities for each imaging modality and each patient. The observed patterns of GM atrophy and hypometabolism were consistent with previous studies. We found significant voxelwise correlations between changes in GM and FDG uptake, mainly in the frontal cortex, corresponding to the typical profile of alterations in bv-FTD. The direct comparison revealed regional variability in the relationship between hypometabolism and atrophy. This analysis revealed greater atrophy than hypometabolism in the right putamen and amygdala, and left insula and superior temporal gyrus, whereas hypometabolism was more severe than GM atrophy in the left caudate nucleus and anterior cingulate cortex. Finally, GM atrophy affected the right amygdala/hippocampus and left insula in 95 % of the patients. These findings provide evidence for regional variations in the hierarchy of hypometabolism and GM atrophy and the relationships between them, and enhance our understanding of the pathophysiology of bv-FTD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 6 12%
Student > Postgraduate 6 12%
Researcher 4 8%
Other 5 10%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 11 21%
Neuroscience 7 13%
Psychology 6 12%
Social Sciences 2 4%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2016.
All research outputs
#4,114,490
of 22,844,985 outputs
Outputs from Brain Imaging and Behavior
#229
of 1,155 outputs
Outputs of similar age
#72,944
of 397,355 outputs
Outputs of similar age from Brain Imaging and Behavior
#10
of 36 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.