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.

Highlights

  • Over the past 20 years, functional magnetic resonance imaging has become the workhorse of cognitive scientists interested in noninvasively measuring localized human brain activity

  • This is perhaps nowhere more true than in the field of auditory neuroscience due to the substantial acoustic noise generated by standard functional magnetic resonance imaging (fMRI) sequences

  • Much of the information regarding the basic mechanics of noise in fMRI can be found in previous reviews (Amaro et al, 2002; Moelker and Pattynama, 2003; Talavage et al, 2014); I have repeated the main points for completeness, I focus on more recent theoretical perspectives and methodological advances

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Summary

INTRODUCTION

Over the past 20 years, functional magnetic resonance imaging (fMRI) has become the workhorse of cognitive scientists interested in noninvasively measuring localized human brain activity. MRI acoustic noise influences brain function across a number of cognitive domains It is the loudness of scanner noise that is an issue, and the characteristics of the sound: whether an acoustic stimulus is pulsed or continuous, for example, can significantly impact both auditory and attentional processes. Age can significantly impact the degree to which subjects are bothered by environmental noise (Van Gerven et al, 2009); individual differences in noise sensitivity may contribute to (or reflect) variability in the effects of scanner noise on neural response (Pripfl et al, 2006) These concerns may be relevant in clinical or developmental studies with children, participants with anxiety or other psychiatric condition, or participants who are bothered by auditory stimulation. INTERLEAVED SILENT STEADY STATE (ISSS) IMAGING The main disadvantages in traditional sparse imaging come from the lack of information about the timecourse of the hemodynamic response, and the relatively small amount of data collected

B Sparse imaging C ISSS
A Finite impuse response model condition A condition B scans
Findings
CONCLUSIONS AND RECOMMENDATIONS
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