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Are functional deficits in concussed individuals consistent with white matter structural alterations: combined FMRI

Overview of attention for article published in Experimental Brain Research, May 2010
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 blog
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1 CiteULike
Title
Are functional deficits in concussed individuals consistent with white matter structural alterations: combined FMRI & DTI study
Published in
Experimental Brain Research, May 2010
DOI 10.1007/s00221-010-2294-3
Pubmed ID
Authors

K. Zhang, B. Johnson, D. Pennell, W. Ray, W. Sebastianelli, S. Slobounov

Abstract

There is still controversy in the literature whether a single episode of mild traumatic brain injury (MTBI) results in short-term functional and/or structural deficits as well as any induced long-term residual effects. With the inability of traditional structural brain imaging techniques to accurately diagnosis MTBI, there is hope that more advanced applications like functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) will be more specific in diagnosing MTBI. In this study, 15 subjects who have recently suffered from sport-related MTBI and 15 age-matched normal controls underwent both fMRI and DTI to investigate the possibility of traumatic axonal injury associated with functional deficits in recently concussed but asymptomatic individuals. There are several findings of interest. First, MTBI subjects had a more disperse brain activation pattern with additional increases in activity outside of the shared regions of interest (ROIs) as revealed by FMRI blood oxygen level-dependent (BOLD) signals. The MTBI group had additional activation in the left dorsal-lateral prefrontal cortex during encoding phase of spatial navigation working memory task that was not observed in normal controls. Second, neither whole-brain analysis nor ROI analysis showed significant alteration of white matter (WM) integrity in MTBI subjects as evidenced by fractional anisotropy FA (DTI) data. It should be noted, however, there was a larger variability of fractional anisotropy (FA) in the genu, and body of the corpus callosum in MTB subjects. Moreover, we observed decreased diffusivity as evidenced by apparent diffusion coefficient (ADC) at both left and right dorsolateral prefrontal cortex (DL-PFC) in MTBI subjects (P < 0.001). There was also a positive correlation (P < 0.05) between ADC and % change of fMRI BOLD signals at DL-PFC in MTBI subjects, but not in normal controls. Despite these differences we conclude that overall, no consistent findings across advanced brain imaging techniques (fMRI and DTI) were observed. Whether the lack of consistency across research techniques (fMRI & DTI) is due to time frame of scanning, unique nature of MTBI and/or technological issues involved in FA and Apparent Diffusion Coefficient (ADC) quantification is yet to be determined.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
United Kingdom 3 1%
Canada 1 <1%
Netherlands 1 <1%
Japan 1 <1%
Romania 1 <1%
Unknown 238 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 20%
Researcher 48 19%
Student > Master 24 9%
Student > Bachelor 24 9%
Professor > Associate Professor 22 9%
Other 54 21%
Unknown 31 12%
Readers by discipline Count As %
Medicine and Dentistry 66 26%
Psychology 51 20%
Neuroscience 41 16%
Agricultural and Biological Sciences 22 9%
Engineering 16 6%
Other 20 8%
Unknown 39 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 August 2012.
All research outputs
#2,547,739
of 22,675,759 outputs
Outputs from Experimental Brain Research
#180
of 3,217 outputs
Outputs of similar age
#9,826
of 94,696 outputs
Outputs of similar age from Experimental Brain Research
#2
of 29 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,217 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 94,696 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 89% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.