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Less noise, more activation: Multiband acquisition schemes for auditory functional MRI.
Federico De Martino1,2, Michelle Moerel2, Kamil Ugurbil2
1Department of Cognitive Neurosciences, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Magnetic Resonance in Medicine
|August 9, 2014
Summary
Multiband (MB) gradient-echo echo planar imaging (GE-EPI) enhances functional magnetic resonance imaging (fMRI) for auditory studies. This technique improves signal acquisition and better distinguishes voice responses from other sounds.
Area of Science:
- Neuroimaging
- Auditory Neuroscience
- Functional Magnetic Resonance Imaging (fMRI)
Background:
- fMRI studies of audition are challenged by scanner noise and acquisition speed.
- Optimizing fMRI acquisition is crucial for reliable auditory response detection.
Purpose of the Study:
- To enhance fMRI acquisition for auditory studies using multiband (MB) gradient-echo echo planar imaging (GE-EPI).
- To compare MB GE-EPI with standard GE-EPI for auditory response detection.
Main Methods:
- Acquired data at 3T using a 32-channel head coil.
- Presented auditory stimuli (tones, natural sounds) during silent gaps.
- Compared two-fold slice acceleration (MB2) with standard GE-EPI (MB1) at a 3s repetition time (TR).
- Investigated two stimulus presentation schemes within MB2: same-length sounds (type 1) and double-length sounds (type 2).
Main Results:
- Functional responses to all sounds were stronger with slice acceleration (MB2) due to shorter acquisition times.
- The distinction between voice and nonvoice responses was greater in MB2 type 1 acquisitions compared to standard GE-EPI.
- Slice acceleration improved the detection of auditory responses, particularly for voice stimuli.
Conclusions:
- Reducing scanner noise duration via MB GE-EPI strengthens functional responses in fMRI.
- Utilizing longer silent periods with consistent sound length in MB2 enhances the differentiation of voice versus nonvoice auditory responses.
- MB GE-EPI offers a promising method for improving fMRI studies of audition.

