Literature DB >> 24389047

There's more than one way to scan a cat: imaging cat auditory cortex with high-field fMRI using continuous or sparse sampling.

Amee J Hall1, Trecia A Brown2, Jessica A Grahn3, Joseph S Gati4, Pam L Nixon2, Sarah M Hughes5, Ravi S Menon6, Stephen G Lomber7.   

Abstract

When conducting auditory investigations using functional magnetic resonance imaging (fMRI), there are inherent potential confounds that need to be considered. Traditional continuous fMRI acquisition methods produce sounds >90 dB which compete with stimuli or produce neural activation masking evoked activity. Sparse scanning methods insert a period of reduced MRI-related noise, between image acquisitions, in which a stimulus can be presented without competition. In this study, we compared sparse and continuous scanning methods to identify the optimal approach to investigate acoustically evoked cortical, thalamic and midbrain activity in the cat. Using a 7 T magnet, we presented broadband noise, 10 kHz tones, or 0.5 kHz tones in a block design, interleaved with blocks in which no stimulus was presented. Continuous scanning resulted in larger clusters of activation and more peak voxels within the auditory cortex. However, no significant activation was observed within the thalamus. Also, there was no significant difference found, between continuous or sparse scanning, in activations of midbrain structures. Higher magnitude activations were identified in auditory cortex compared to the midbrain using both continuous and sparse scanning. These results indicate that continuous scanning is the preferred method for investigations of auditory cortex in the cat using fMRI. Also, choice of method for future investigations of midbrain activity should be driven by other experimental factors, such as stimulus intensity and task performance during scanning.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  7-Tesla; Broadband noise; Inferior colliculus; Thalamus; Tonal stimulation

Mesh:

Substances:

Year:  2014        PMID: 24389047     DOI: 10.1016/j.jneumeth.2013.12.012

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  7 in total

1.  Singing in the brain: Neural representation of music and voice as revealed by fMRI.

Authors:  Jocelyne C Whitehead; Jorge L Armony
Journal:  Hum Brain Mapp       Date:  2018-08-18       Impact factor: 5.038

2.  High-field functional magnetic resonance imaging of vocalization processing in marmosets.

Authors:  Srivatsun Sadagopan; Nesibe Z Temiz-Karayol; Henning U Voss
Journal:  Sci Rep       Date:  2015-06-19       Impact factor: 4.379

3.  International Veterinary Epilepsy Task Force recommendations for a veterinary epilepsy-specific MRI protocol.

Authors:  Clare Rusbridge; Sam Long; Jelena Jovanovik; Marjorie Milne; Mette Berendt; Sofie F M Bhatti; Luisa De Risio; Robyn G Farqhuar; Andrea Fischer; Kaspar Matiasek; Karen Muñana; Edward E Patterson; Akos Pakozdy; Jacques Penderis; Simon Platt; Michael Podell; Heidrun Potschka; Veronika M Stein; Andrea Tipold; Holger A Volk
Journal:  BMC Vet Res       Date:  2015-08-28       Impact factor: 2.741

4.  Auditory functional magnetic resonance imaging in dogs--normalization and group analysis and the processing of pitch in the canine auditory pathways.

Authors:  Jan-Peter Bach; Matthias Lüpke; Peter Dziallas; Patrick Wefstaedt; Stefan Uppenkamp; Hermann Seifert; Ingo Nolte
Journal:  BMC Vet Res       Date:  2016-02-20       Impact factor: 2.741

5.  Assessing Top-Down and Bottom-Up Contributions to Auditory Stream Segregation and Integration With Polyphonic Music.

Authors:  Niels R Disbergen; Giancarlo Valente; Elia Formisano; Robert J Zatorre
Journal:  Front Neurosci       Date:  2018-03-07       Impact factor: 4.677

6.  High-Field Functional Imaging of Pitch Processing in Auditory Cortex of the Cat.

Authors:  Blake E Butler; Amee J Hall; Stephen G Lomber
Journal:  PLoS One       Date:  2015-07-30       Impact factor: 3.240

Review 7.  Methodological challenges and solutions in auditory functional magnetic resonance imaging.

Authors:  Jonathan E Peelle
Journal:  Front Neurosci       Date:  2014-08-21       Impact factor: 4.677

  7 in total

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