Literature DB >> 19173422

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

Deborah A Hall1, John Chambers, Michael A Akeroyd, John R Foster, Ron Coxon, Alan R Palmer.   

Abstract

Functional magnetic resonance imaging (fMRI) is one of the principal neuroimaging techniques for studying human audition, but it generates an intense background sound which hinders listening performance and confounds measures of the auditory response. This paper reports the perceptual effects of an active noise control (ANC) system that operates in the electromagnetically hostile and physically compact neuroimaging environment to provide significant noise reduction, without interfering with image quality. Cancellation was first evaluated at 600 Hz, corresponding to the dominant peak in the power spectrum of the background sound and at which cancellation is maximally effective. Microphone measurements at the ear demonstrated 35 dB of acoustic attenuation [from 93 to 58 dB sound pressure level (SPL)], while masked detection thresholds improved by 20 dB (from 74 to 54 dB SPL). Considerable perceptual benefits were also obtained across other frequencies, including those corresponding to dips in the spectrum of the background sound. Cancellation also improved the statistical detection of sound-related cortical activation, especially for sounds presented at low intensities. These results confirm that ANC offers substantial benefits for fMRI research.

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Mesh:

Year:  2009        PMID: 19173422     DOI: 10.1121/1.3021437

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  16 in total

1.  Assessment of temporal state-dependent interactions between auditory fMRI responses to desired and undesired acoustic sources.

Authors:  O Olulade; S Hu; J Gonzalez-Castillo; G G Tamer; W-M Luh; J L Ulmer; T M Talavage
Journal:  Hear Res       Date:  2011-03-21       Impact factor: 3.208

2.  In situ active control of noise in a 4 T MRI scanner.

Authors:  Mingfeng Li; Brent Rudd; Teik C Lim; Jing-Huei Lee
Journal:  J Magn Reson Imaging       Date:  2011-07-12       Impact factor: 4.813

3.  Temporal pattern of acoustic imaging noise asymmetrically modulates activation in the auditory cortex.

Authors:  Ruwan D Ranaweera; Minseok Kwon; Shuowen Hu; Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  Hear Res       Date:  2015-10-28       Impact factor: 3.208

Review 4.  How challenges in auditory fMRI led to general advancements for the field.

Authors:  Thomas M Talavage; Deborah A Hall
Journal:  Neuroimage       Date:  2012-01-08       Impact factor: 6.556

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

Authors:  Guohua Sun; Mingfeng Li; Brent W Rudd; Teik C Lim; Jeffrey Osterhage; Elizabeth M Fugate; Jing-Huei Lee
Journal:  MAGMA       Date:  2015-04-18       Impact factor: 2.310

Review 6.  Auditory neuroimaging with fMRI and PET.

Authors:  Thomas M Talavage; Javier Gonzalez-Castillo; Sophie K Scott
Journal:  Hear Res       Date:  2013-09-27       Impact factor: 3.208

7.  Evaluating an acoustically quiet EPI sequence for use in fMRI studies of speech and auditory processing.

Authors:  Jonathan E Peelle; Rowena J Eason; Sebastian Schmitter; Christian Schwarzbauer; Matthew H Davis
Journal:  Neuroimage       Date:  2010-05-16       Impact factor: 6.556

8.  Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise.

Authors:  Shuowen Hu; Olumide Olulade; Javier Gonzalez Castillo; Joseph Santos; Sungeun Kim; Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  Neuroimage       Date:  2009-12-04       Impact factor: 6.556

9.  On-line plasticity in spoken sentence comprehension: Adapting to time-compressed speech.

Authors:  Patti Adank; Joseph T Devlin
Journal:  Neuroimage       Date:  2009-07-24       Impact factor: 6.556

10.  Optimized design and analysis of sparse-sampling FMRI experiments.

Authors:  Tyler K Perrachione; Satrajit S Ghosh
Journal:  Front Neurosci       Date:  2013-04-18       Impact factor: 4.677

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