↓ Skip to main content

Probing white-matter microstructure with higher-order diffusion tensors and susceptibility tensor MRI

Overview of attention for article published in Frontiers in Integrative Neuroscience, January 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Probing white-matter microstructure with higher-order diffusion tensors and susceptibility tensor MRI
Published in
Frontiers in Integrative Neuroscience, January 2013
DOI 10.3389/fnint.2013.00011
Pubmed ID
Authors

Chunlei Liu, Nicole E. Murphy, Wei Li

Abstract

Diffusion MRI has become an invaluable tool for studying white matter microstructure and brain connectivity. The emergence of quantitative susceptibility mapping and susceptibility tensor imaging (STI) has provided another unique tool for assessing the structure of white matter. In the highly ordered white matter structure, diffusion MRI measures hindered water mobility induced by various tissue and cell membranes, while susceptibility sensitizes to the molecular composition and axonal arrangement. Integrating these two methods may produce new insights into the complex physiology of white matter. In this study, we investigated the relationship between diffusion and magnetic susceptibility in the white matter. Experiments were conducted on phantoms and human brains in vivo. Diffusion properties were quantified with the diffusion tensor model and also with the higher order tensor model based on the cumulant expansion. Frequency shift and susceptibility tensor were measured with quantitative susceptibility mapping and susceptibility tensor imaging. These diffusion and susceptibility quantities were compared and correlated in regions of single fiber bundles and regions of multiple fiber orientations. Relationships were established with similarities and differences identified. It is believed that diffusion MRI and susceptibility MRI provide complementary information of the microstructure of white matter. Together, they allow a more complete assessment of healthy and diseased brains.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Netherlands 1 2%
Korea, Republic of 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Ph. D. Student 8 19%
Professor > Associate Professor 4 10%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Other 6 14%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Engineering 8 19%
Neuroscience 5 12%
Physics and Astronomy 4 10%
Mathematics 2 5%
Other 5 12%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 March 2013.
All research outputs
#20,184,694
of 22,699,621 outputs
Outputs from Frontiers in Integrative Neuroscience
#754
of 853 outputs
Outputs of similar age
#248,720
of 280,695 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#81
of 89 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 853 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.