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A comparison of FreeSurfer-generated data with and without manual intervention

Overview of attention for article published in Frontiers in Neuroscience, October 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
A comparison of FreeSurfer-generated data with and without manual intervention
Published in
Frontiers in Neuroscience, October 2015
DOI 10.3389/fnins.2015.00379
Pubmed ID
Authors

Christopher S. McCarthy, Avinash Ramprashad, Carlie Thompson, Jo-Anna Botti, Ioana L. Coman, Wendy R. Kates

Abstract

This paper examined whether FreeSurfer-generated data differed between a fully-automated, unedited pipeline and an edited pipeline that included the application of control points to correct errors in white matter segmentation. In a sample of 30 individuals, we compared the summary statistics of surface area, white matter volumes, and cortical thickness derived from edited and unedited datasets for the 34 regions of interest (ROIs) that FreeSurfer (FS) generates. To determine whether applying control points would alter the detection of significant differences between patient and typical groups, effect sizes between edited and unedited conditions in individuals with the genetic disorder, 22q11.2 deletion syndrome (22q11DS) were compared to neurotypical controls. Analyses were conducted with data that were generated from both a 1.5 tesla and a 3 tesla scanner. For 1.5 tesla data, mean area, volume, and thickness measures did not differ significantly between edited and unedited regions, with the exception of rostral anterior cingulate thickness, lateral orbitofrontal white matter, superior parietal white matter, and precentral gyral thickness. Results were similar for surface area and white matter volumes generated from the 3 tesla scanner. For cortical thickness measures however, seven edited ROI measures, primarily in frontal and temporal regions, differed significantly from their unedited counterparts, and three additional ROI measures approached significance. Mean effect sizes for edited ROIs did not differ from most unedited ROIs for either 1.5 or 3 tesla data. Taken together, these results suggest that although the application of control points may increase the validity of intensity normalization and, ultimately, segmentation, it may not affect the final, extracted metrics that FS generates. Potential exceptions to and limitations of these conclusions are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Brazil 1 <1%
Unknown 200 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 25%
Researcher 35 17%
Student > Master 24 12%
Student > Doctoral Student 16 8%
Other 14 7%
Other 28 14%
Unknown 35 17%
Readers by discipline Count As %
Neuroscience 43 21%
Medicine and Dentistry 35 17%
Psychology 21 10%
Engineering 13 6%
Agricultural and Biological Sciences 12 6%
Other 23 11%
Unknown 55 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 April 2021.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#5,437
of 11,538 outputs
Outputs of similar age
#100,794
of 294,135 outputs
Outputs of similar age from Frontiers in Neuroscience
#62
of 136 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 51% 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 294,135 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 55% of its contemporaries.
We're also able to compare this research output to 136 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 54% of its contemporaries.