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Methodological challenges and solutions in auditory functional magnetic resonance imaging

Overview of attention for article published in Frontiers in Neuroscience, August 2014
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Methodological challenges and solutions in auditory functional magnetic resonance imaging
Published in
Frontiers in Neuroscience, August 2014
DOI 10.3389/fnins.2014.00253
Pubmed ID
Authors

Jonathan E. Peelle

Abstract

Functional magnetic resonance imaging (fMRI) studies involve substantial acoustic noise. This review covers the difficulties posed by such noise for auditory neuroscience, as well as a number of possible solutions that have emerged. Acoustic noise can affect the processing of auditory stimuli by making them inaudible or unintelligible, and can result in reduced sensitivity to auditory activation in auditory cortex. Equally importantly, acoustic noise may also lead to increased listening effort, meaning that even when auditory stimuli are perceived, neural processing may differ from when the same stimuli are presented in quiet. These and other challenges have motivated a number of approaches for collecting auditory fMRI data. Although using a continuous echoplanar imaging (EPI) sequence provides high quality imaging data, these data may also be contaminated by background acoustic noise. Traditional sparse imaging has the advantage of avoiding acoustic noise during stimulus presentation, but at a cost of reduced temporal resolution. Recently, three classes of techniques have been developed to circumvent these limitations. The first is Interleaved Silent Steady State (ISSS) imaging, a variation of sparse imaging that involves collecting multiple volumes following a silent period while maintaining steady-state longitudinal magnetization. The second involves active noise control to limit the impact of acoustic scanner noise. Finally, novel MRI sequences that reduce the amount of acoustic noise produced during fMRI make the use of continuous scanning a more practical option. Together these advances provide unprecedented opportunities for researchers to collect high-quality data of hemodynamic responses to auditory stimuli using fMRI.

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 2 1%
Chile 1 <1%
Austria 1 <1%
Brazil 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 177 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 28%
Researcher 39 20%
Student > Master 21 11%
Student > Bachelor 15 8%
Professor 12 6%
Other 37 19%
Unknown 15 8%
Readers by discipline Count As %
Psychology 59 31%
Neuroscience 45 23%
Agricultural and Biological Sciences 13 7%
Medicine and Dentistry 12 6%
Engineering 7 4%
Other 20 10%
Unknown 37 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 June 2017.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#5,073
of 11,542 outputs
Outputs of similar age
#73,500
of 247,552 outputs
Outputs of similar age from Frontiers in Neuroscience
#43
of 116 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,542 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 55% 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 247,552 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 69% of its contemporaries.
We're also able to compare this research output to 116 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 62% of its contemporaries.