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Characterizing Aging in the Human Brainstem Using Quantitative Multimodal MRI Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Citations

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148 Mendeley
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Title
Characterizing Aging in the Human Brainstem Using Quantitative Multimodal MRI Analysis
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00462
Pubmed ID
Authors

Christian Lambert, Rumana Chowdhury, Thomas H. B. FitzGerald, Stephen M. Fleming, Antoine Lutti, Chloe Hutton, Bogdan Draganski, Richard Frackowiak, John Ashburner

Abstract

Aging is ubiquitous to the human condition. The MRI correlates of healthy aging have been extensively investigated using a range of modalities, including volumetric MRI, quantitative MRI (qMRI), and diffusion tensor imaging. Despite this, the reported brainstem related changes remain sparse. This is, in part, due to the technical and methodological limitations in quantitatively assessing and statistically analyzing this region. By utilizing a new method of brainstem segmentation, a large cohort of 100 healthy adults were assessed in this study for the effects of aging within the human brainstem in vivo. Using qMRI, tensor-based morphometry (TBM), and voxel-based quantification (VBQ), the volumetric and quantitative changes across healthy adults between 19 and 75 years were characterized. In addition to the increased R2* in substantia nigra corresponding to increasing iron deposition with age, several novel findings were reported in the current study. These include selective volumetric loss of the brachium conjunctivum, with a corresponding decrease in magnetization transfer and increase in proton density (PD), accounting for the previously described "midbrain shrinkage." Additionally, we found increases in R1 and PD in several pontine and medullary structures. We consider these changes in the context of well-characterized, functional age-related changes, and propose potential biophysical mechanisms. This study provides detailed quantitative analysis of the internal architecture of the brainstem and provides a baseline for further studies of neurodegenerative diseases that are characterized by early, pre-clinical involvement of the brainstem, such as Parkinson's and Alzheimer's diseases.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Netherlands 1 <1%
France 1 <1%
Czechia 1 <1%
Sweden 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 137 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 24%
Researcher 34 23%
Student > Master 14 9%
Professor 9 6%
Student > Bachelor 8 5%
Other 25 17%
Unknown 23 16%
Readers by discipline Count As %
Medicine and Dentistry 30 20%
Neuroscience 27 18%
Psychology 15 10%
Agricultural and Biological Sciences 13 9%
Engineering 8 5%
Other 17 11%
Unknown 38 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 April 2014.
All research outputs
#7,265,873
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#2,906
of 7,638 outputs
Outputs of similar age
#73,319
of 293,942 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#380
of 860 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 61% 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 293,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 860 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 55% of its contemporaries.