Acoustic, psychophysical, and neuroimaging measurements of the effectiveness of active cancellation during auditory functional magnetic resonance imaging

Hall, Deborah A.; Chambers, J. D.; Akeroyd, Michael A.; Foster, John; Coxon, R.; Palmer, Alan R.

doi:10.1121/1.3021437

Cited by 41 publications

(33 citation statements)

References 42 publications

(51 reference statements)

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“…during sentence comprehension). Others have endeavoured to reduce the magnitude or impact of the acoustic scanner noise itself by noise cancellation or manipulating the parameters of the acquisition sequence (Hall et al, 2009;Peelle et al, 2010;Schmitter et al, 2008). For a helpful and succinct description of these approaches, we highly recommend Peelle (2014).…”

Section: Challenges and Solutionsmentioning

confidence: 99%

Comprehending auditory speech: previous and potential contributions of functional MRI

Evans

McGettigan

2017

Language, Cognition and Neuroscience

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Functional neuroimaging revolutionized the study of human language in the late 20 th Century, allowing researchers to investigate its underlying cognitive processes in the intact brain. Here, we review how functional MRI (fMRI) in particular has contributed to our understanding of speech comprehension, with a focus on studies of intelligibility. We highlight the use of carefully controlled acoustic stimuli to reveal the underlying hierarchical organization of speech processing systems and cortical (a)symmetries, and discuss the contributions of novel design and analysis techniques to the contextualization of perisylvian regions within wider speech processing networks. Within this, we outline the methodological challenges of fMRI as a technique for investigating speech and describe the innovations that have overcome or mitigated these difficulties. Focussing on multivariate approaches to fMRI, we highlight how these techniques have allowed both local neural representations and broader scale brain systems to be described. 3 General IntroductionThe emergence of functional neuroimaging in the 1990s offered the unprecedented opportunity to examine the processing of spoken language in the intact, functioning human brain with a spatial resolution on the order of millimetres. Building upon the highly influential neuropsychological literature of the late 19 th and 20 th Centuries, a key aim of empirical study was uncovering the neural substrates for the comprehension of speech. Here, we offer a review and synthesis of the contributions of functional imaging -in particular, functional magnetic resonance imaging (fMRI) -to our understanding of the functional neuroanatomy of speech comprehension. We also offer an evaluation of the method and ask whether fMRI will continue to contribute substantially to our knowledge, or whether other modalities (or combinations of techniques) hold more promise for the future of the field.Other authors have offered excellent overviews of the state of the art in the functional imaging of language processes more generally (e.g. Price, 2012), and in the specific methodological challenges of examining auditory processing with fMRI (Peelle 2014). For this review, we felt that it was timely to limit our discussion to the use of fMRI in the investigation of speech comprehension. The study of speech comprehension has been at the centre of significant theoretical debate in the last decade, for example in addressing the role of hemispheric asymmetries and motor contributions to speech perception. Advances in experimental design and data analysis have played an important role in refining our understanding of these issues.Here, we highlight in particular the contributions and future opportunities afforded by multivariate analyses of the BOLD response in examining the nature and content of neural representations of the speech signal. Approaches such as Representational Similarity Analysis (Kriegeskorte et al., 2008), provide promise for integrating multiple imaging modalities, allowing examinatio...

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Section: Challenges and Solutionsmentioning

confidence: 99%

Comprehending auditory speech: previous and potential contributions of functional MRI

Evans

McGettigan

2017

Language, Cognition and Neuroscience

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“…The nonadaptive spectral subtraction algorithm proposed in this study that cascades with the ANC algorithm has shown its effectiveness for further removing the MRI acoustic noise after treatment by the ASE system (see Figs. 8,9). This achievement implies that it is desirable to develop combined adaptive and non-adaptive speech enhancement algorithms where an online/offline post-processing algorithm can be applied to the contaminated speech and achieve a better result.…”

Section: Discussionmentioning

confidence: 93%

“…The acoustic noise during magnetic resonance imaging (MRI) operation remains a major concern, considering MRI is increasingly applied for medical diagnosis and biomedical research [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. The primary excitation source of the scanner-emitted acoustic noise is produced by Lorentz forces that physically excite the structural components of the MRI scanner, radiating loud noise due to the structural-acoustic coupling with the surrounding air.…”

Section: Introductionmentioning

confidence: 99%

Adaptive speech enhancement using directional microphone in a 4-T MRI scanner

Sun

Rudd

et al. 2015

Magn Reson Mater Phy

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“…A different approach to reducing the impact of acoustic noise in the MRI scanner is to change the way this sound is perceived by listeners using active noise control (Hall et al, 2009). As typically implemented, active noise control involves measuring the properties of the scanner noise, and generating a destructive acoustic signal (also known as “antinoise”) which is sent to the headphones that cancels a portion of the scanner noise (Chambers et al, 2001, 2007; Li et al, 2011).…”

Section: Solutions For Auditory Fmrimentioning

confidence: 99%

“…Active noise control can reduces the level of acoustic noise by 30–40 dB, and subjective loudness by 20 dB (the difference between these measures likely reflecting the contribution of bone conducted vibration) (Hall et al, 2009; Li et al, 2011). Particularly relevant is that when using relatively simple auditory stimuli (pure tone pitch discrimination), (1) behavioral performance in the scanner was significantly better and (2) activity in primary auditory regions was significantly greater under conditions of active noise control compared to normal presentation (Hall et al, 2009).…”

Section: Solutions For Auditory Fmrimentioning

confidence: 99%

Methodological challenges and solutions in auditory functional magnetic resonance imaging

Peelle

2014

Front. Neurosci.

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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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Acoustic, psychophysical, and neuroimaging measurements of the effectiveness of active cancellation during auditory functional magnetic resonance imaging

Cited by 41 publications

References 42 publications

Comprehending auditory speech: previous and potential contributions of functional MRI

Comprehending auditory speech: previous and potential contributions of functional MRI

Adaptive speech enhancement using directional microphone in a 4-T MRI scanner

Methodological challenges and solutions in auditory functional magnetic resonance imaging

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