Literature DB >> 19948232

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

Shuowen Hu1, Olumide Olulade, Javier Gonzalez Castillo, Joseph Santos, Sungeun Kim, Gregory G Tamer, Wen-Ming Luh, Thomas M Talavage.   

Abstract

A confound for functional magnetic resonance imaging (fMRI), especially for auditory studies, is the presence of imaging acoustic noise generated mainly as a byproduct of rapid gradient switching during volume acquisition and, to a lesser extent, the radiofrequency transmit. This work utilized a novel pulse sequence to present actual imaging acoustic noise for characterization of the induced hemodynamic responses and assessment of linearity in the primary auditory cortex with respect to noise duration. Results show that responses to brief duration (46 ms) imaging acoustic noise is highly nonlinear while responses to longer duration (>1 s) imaging acoustic noise becomes approximately linear, with the right primary auditory cortex exhibiting a higher degree of nonlinearity than the left for the investigated noise durations. This study also assessed the spatial extent of activation induced by imaging acoustic noise, showing that the use of modeled responses (specific to imaging acoustic noise) as the reference waveform revealed additional activations in the auditory cortex not observed with a canonical gamma variate reference waveform, suggesting an improvement in detection sensitivity for imaging acoustic noise-induced activity. Longer duration (1.5 s) imaging acoustic noise was observed to induce activity that expanded outwards from Heschl's gyrus to cover the superior temporal gyrus as well as parts of the middle temporal gyrus and insula, potentially affecting higher level acoustic processing. Published by Elsevier Inc.

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Year:  2009        PMID: 19948232      PMCID: PMC2818577          DOI: 10.1016/j.neuroimage.2009.11.051

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  44 in total

1.  Event-related fMRI of the auditory cortex.

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3.  Nonlinearity of FMRI responses in human auditory cortex.

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7.  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

8.  Functional MRI of brain activation induced by scanner acoustic noise.

Authors:  P A Bandettini; A Jesmanowicz; J Van Kylen; R M Birn; J S Hyde
Journal:  Magn Reson Med       Date:  1998-03       Impact factor: 4.668

9.  Measurements of the temporal fMRI response of the human auditory cortex to trains of tones.

Authors:  M D Robson; J L Dorosz; J C Gore
Journal:  Neuroimage       Date:  1998-04       Impact factor: 6.556

10.  Quantification of mechanical vibration during diffusion tensor imaging at 3 T.

Authors:  Jaana Hiltunen; Riitta Hari; Veikko Jousmäki; Kiti Müller; Raimo Sepponen; Raimo Joensuu
Journal:  Neuroimage       Date:  2006-05-06       Impact factor: 6.556

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  5 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.  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

3.  Frequency Selectivity of Voxel-by-Voxel Functional Connectivity in Human Auditory Cortex.

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Journal:  Cereb Cortex       Date:  2014-09-02       Impact factor: 5.357

4.  Auditory Target Detection Enhances Visual Processing and Hippocampal Functional Connectivity.

Authors:  Roy Moyal; Hamid B Turker; Wen-Ming Luh; Khena M Swallow
Journal:  Front Psychol       Date:  2022-06-13

5.  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

  5 in total

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