Literature DB >> 17080440

Assessing the influence of scanner background noise on auditory processing. I. An fMRI study comparing three experimental designs with varying degrees of scanner noise.

Nadine Gaab1, John D E Gabrieli, Gary H Glover.   

Abstract

We compared two experimental designs aimed at minimizing the influence of scanner background noise (SBN) on functional MRI (fMRI) of auditory processes with one conventional fMRI design. Ten subjects listened to a series of four one-syllable words and had to decide whether two of the words were identical. This was contrasted with a no-stimulus control condition. All three experimental designs had a duration of approximately 17 min: 1) a behavior interleaved gradients (BIG; Eden et al. [1999] J Magn Reson Imaging 41:13-20) design (repetition time, TR, = 6 s), where stimuli were presented during the SBN-free periods between clustered volume acquisitions (CVA); 2) a sparse temporal sampling technique (STsamp; e.g., Gaab et al., [2003] Neuroimage 19:1417-1426) acquiring only one set of slices following each of the stimulations with a 16-s TR and jittered delay times between stimulus offset and image acquisition; and 3) an event-related design with continuous scanning (ERcont) using the stimulation design of STsamp but with a 2-s TR. The results demonstrated increased signal within Heschl's gyrus for the STsamp and BIG-CVA design in comparison to ERcont as well as differences in the overall functional anatomy among the designs. The possibility to obtain a time course of activation as well as the full recovery of the stimulus- and SBN-induced hemodynamic response function signal and lack of signal suppression from SBN during the STsamp design makes this technique a powerful approach for conducting auditory experiments using fMRI. Practical strengths and limitations of the three auditory acquisition paradigms are discussed. 2006 Wiley-Liss, Inc.

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Year:  2007        PMID: 17080440      PMCID: PMC6871450          DOI: 10.1002/hbm.20298

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  87 in total

1.  "What"-Then-Where" in visual working memory: an event-related fMRI study.

Authors:  B R Postle; M D'Esposito
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2.  Utilizing hemodynamic delay and dispersion to detect fMRI signal change without auditory interference: the behavior interleaved gradients technique.

Authors:  G F Eden; J E Joseph; H E Brown; C P Brown; T A Zeffiro
Journal:  Magn Reson Med       Date:  1999-01       Impact factor: 4.668

Review 3.  Acoustic noise and functional magnetic resonance imaging: current strategies and future prospects.

Authors:  Edson Amaro; Steve C R Williams; Sukhi S Shergill; Cynthia H Y Fu; Mairead MacSweeney; Marco M Picchioni; Michael J Brammer; Philip K McGuire
Journal:  J Magn Reson Imaging       Date:  2002-11       Impact factor: 4.813

4.  Analysis of magnetic resonance imaging acoustic noise generated by a 4.7 T experimental system.

Authors:  S A Counter; A Olofsson; E Borg; B Bjelke; A Häggström; H F Grahn
Journal:  Acta Otolaryngol       Date:  2000-09       Impact factor: 1.494

Review 5.  Acoustic noise concerns in functional magnetic resonance imaging.

Authors:  Adriaan Moelker; Peter M T Pattynama
Journal:  Hum Brain Mapp       Date:  2003-11       Impact factor: 5.038

6.  Regularized higher-order in vivo shimming.

Authors:  Dong-Hyun Kim; Elfar Adalsteinsson; Gary H Glover; Daniel M Spielman
Journal:  Magn Reson Med       Date:  2002-10       Impact factor: 4.668

7.  Lobular patterns of cerebellar activation in verbal working-memory and finger-tapping tasks as revealed by functional MRI.

Authors:  J E Desmond; J D Gabrieli; A D Wagner; B L Ginier; G H Glover
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8.  A graded task approach to the functional mapping of brain areas implicated in auditory-verbal memory.

Authors:  P M Grasby; C D Frith; K J Friston; J Simpson; P C Fletcher; R S Frackowiak; R J Dolan
Journal:  Brain       Date:  1994-12       Impact factor: 13.501

9.  Measurement of acoustic noise during MR imaging: evaluation of six "worst-case" pulse sequences.

Authors:  F G Shellock; S M Morisoli; M Ziarati
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10.  Silent BOLD imaging.

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Journal:  MAGMA       Date:  2001-10       Impact factor: 2.533

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  40 in total

1.  Assessing the influence of scanner background noise on auditory processing. II. An fMRI study comparing auditory processing in the absence and presence of recorded scanner noise using a sparse design.

Authors:  Nadine Gaab; John D E Gabrieli; Gary H Glover
Journal:  Hum Brain Mapp       Date:  2007-08       Impact factor: 5.038

2.  Silent and continuous fMRI scanning differentially modulate activation in an auditory language comprehension task.

Authors:  Conny F Schmidt; Tino Zaehle; Martin Meyer; Eveline Geiser; Peter Boesiger; Lutz Jancke
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

3.  Characterizing response to elemental unit of acoustic imaging noise: an FMRI study.

Authors:  Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  IEEE Trans Biomed Eng       Date:  2009-03-16       Impact factor: 4.538

4.  Influence of selecting EPI readout-encoding bandwidths on arterial spin labeling perfusion MRI.

Authors:  Geon-Ho Jahng; Norbert Schuff
Journal:  MAGMA       Date:  2009-07-04       Impact factor: 2.310

5.  Resting in peace or noise: scanner background noise suppresses default-mode network.

Authors:  Nadine Gaab; John D E Gabrieli; Gary H Glover
Journal:  Hum Brain Mapp       Date:  2008-07       Impact factor: 5.038

6.  The role of planum temporale in processing accent variation in spoken language comprehension.

Authors:  Patti Adank; Matthijs L Noordzij; Peter Hagoort
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

7.  Effects of scanner acoustic noise on intrinsic brain activity during auditory stimulation.

Authors:  Natalia Yakunina; Eun Kyoung Kang; Tae Su Kim; Ji-Hoon Min; Sam Soo Kim; Eui-Cheol Nam
Journal:  Neuroradiology       Date:  2015-07-21       Impact factor: 2.804

8.  Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns.

Authors:  Roberta Santoro; Michelle Moerel; Federico De Martino; Giancarlo Valente; Kamil Ugurbil; Essa Yacoub; Elia Formisano
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-18       Impact factor: 11.205

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.  Perceiving pitch absolutely: comparing absolute and relative pitch possessors in a pitch memory task.

Authors:  Katrin Schulze; Nadine Gaab; Gottfried Schlaug
Journal:  BMC Neurosci       Date:  2009-08-27       Impact factor: 3.288

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