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Neuroimaging after mild traumatic brain injury: Review and meta-analysis

Overview of attention for article published in NeuroImage: Clinical, January 2014
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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blogs
3 blogs
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8 X users
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4 patents

Citations

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421 Dimensions

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652 Mendeley
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Title
Neuroimaging after mild traumatic brain injury: Review and meta-analysis
Published in
NeuroImage: Clinical, January 2014
DOI 10.1016/j.nicl.2013.12.009
Pubmed ID
Authors

Cyrus Eierud, R. Cameron Craddock, Sean Fletcher, Manek Aulakh, Brooks King-Casas, Damon Kuehl, Stephen M. LaConte

Abstract

This paper broadly reviews the study of mild traumatic brain injury (mTBI), across the spectrum of neuroimaging modalities. Among the range of imaging methods, however, magnetic resonance imaging (MRI) is unique in its applicability to studying both structure and function. Thus we additionally performed meta-analyses of MRI results to examine 1) the issue of anatomical variability and consistency for functional MRI (fMRI) findings, 2) the analogous issue of anatomical consistency for white-matter findings, and 3) the importance of accounting for the time post injury in diffusion weighted imaging reports. As we discuss, the human neuroimaging literature consists of both small and large studies spanning acute to chronic time points that have examined both structural and functional changes with mTBI, using virtually every available medical imaging modality. Two key commonalities have been used across the majority of imaging studies. The first is the comparison between mTBI and control populations. The second is the attempt to link imaging results with neuropsychological assessments. Our fMRI meta-analysis demonstrates a frontal vulnerability to mTBI, demonstrated by decreased signal in prefrontal cortex compared to controls. This vulnerability is further highlighted by examining the frequency of reported mTBI white matter anisotropy, in which we show a strong anterior-to-posterior gradient (with anterior regions being more frequently reported in mTBI). Our final DTI meta-analysis examines a debated topic arising from inconsistent anisotropy findings across studies. Our results support the hypothesis that acute mTBI is associated with elevated anisotropy values and chronic mTBI complaints are correlated with depressed anisotropy. Thus, this review and set of meta-analyses demonstrate several important points about the ongoing use of neuroimaging to understand the functional and structural changes that occur throughout the time course of mTBI recovery. Based on the complexity of mTBI, however, much more work in this area is required to characterize injury mechanisms and recovery factors and to achieve clinically-relevant capabilities for diagnosis.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 652 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
United Kingdom 2 <1%
Netherlands 1 <1%
Austria 1 <1%
Portugal 1 <1%
India 1 <1%
Brazil 1 <1%
Australia 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 623 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 123 19%
Student > Ph. D. Student 118 18%
Student > Master 68 10%
Student > Bachelor 56 9%
Student > Doctoral Student 53 8%
Other 137 21%
Unknown 97 15%
Readers by discipline Count As %
Medicine and Dentistry 134 21%
Psychology 118 18%
Neuroscience 106 16%
Engineering 40 6%
Agricultural and Biological Sciences 31 5%
Other 66 10%
Unknown 157 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 31 December 2019.
All research outputs
#1,210,518
of 25,837,817 outputs
Outputs from NeuroImage: Clinical
#100
of 2,821 outputs
Outputs of similar age
#12,895
of 321,873 outputs
Outputs of similar age from NeuroImage: Clinical
#5
of 28 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,821 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 96% 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 321,873 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.