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Computational meta-analysis of statistical parametric maps in major depression

Overview of attention for article published in Human Brain Mapping, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
10 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Computational meta-analysis of statistical parametric maps in major depression
Published in
Human Brain Mapping, February 2016
DOI 10.1002/hbm.23108
Pubmed ID
Authors

Danilo Arnone, Dominic Job, Sudhakar Selvaraj, Osamu Abe, Francesco Amico, Yuqi Cheng, Sean J. Colloby, John T. O'Brien, Thomas Frodl, Ian H. Gotlib, Byung-Joo Ham, M Justin Kim, P Cédric MP Koolschijn, Cintia A.-M. Périco, Giacomo Salvadore, Alan J. Thomas, Marie-José Van Tol, Nic J.A. van der Wee, Dick J. Veltman, Gerd Wagner, Andrew M. McIntosh

Abstract

Several neuroimaging meta-analyses have summarized structural brain changes in major depression using coordinate-based methods. These methods might be biased toward brain regions where significant differences were found in the original studies. In this study, a novel voxel-based technique is implemented that estimates and meta-analyses between-group differences in grey matter from individual MRI studies, which are then applied to the study of major depression. A systematic review and meta-analysis of voxel-based morphometry studies were conducted comparing participants with major depression and healthy controls by using statistical parametric maps. Summary effect sizes were computed correcting for multiple comparisons at the voxel level. Publication bias and heterogeneity were also estimated and the excess of heterogeneity was investigated with metaregression analyses. Patients with major depression were characterized by diffuse bilateral grey matter loss in ventrolateral and ventromedial frontal systems extending into temporal gyri compared to healthy controls. Grey matter reduction was also detected in the right parahippocampal and fusiform gyri, hippocampus, and bilateral thalamus. Other areas included parietal lobes and cerebellum. There was no evidence of statistically significant publication bias or heterogeneity. The novel computational meta-analytic approach used in this study identified extensive grey matter loss in key brain regions implicated in emotion generation and regulation. Results are not biased toward the findings of the original studies because they include all available imaging data, irrespective of statistically significant regions, resulting in enhanced detection of additional areas of grey matter loss. Hum Brain Mapp, 2016. © 2016 Wiley Periodicals, Inc.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Germany 1 <1%
Chile 1 <1%
United States 1 <1%
Unknown 118 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 25 20%
Student > Master 12 10%
Professor > Associate Professor 11 9%
Student > Bachelor 9 7%
Other 34 28%
Readers by discipline Count As %
Psychology 28 23%
Medicine and Dentistry 26 21%
Unspecified 26 21%
Neuroscience 23 19%
Agricultural and Biological Sciences 5 4%
Other 14 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 May 2019.
All research outputs
#2,447,812
of 13,727,890 outputs
Outputs from Human Brain Mapping
#779
of 2,926 outputs
Outputs of similar age
#68,063
of 339,204 outputs
Outputs of similar age from Human Brain Mapping
#27
of 91 outputs
Altmetric has tracked 13,727,890 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,926 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 73% 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 339,204 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 79% of its contemporaries.
We're also able to compare this research output to 91 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 70% of its contemporaries.