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Comparison of "silent" clustered and sparse temporal fMRI acquisitions in tonal and speech perception tasks


Zaehle, Tino; Schmidt, Conny F; Meyer, Martin; Baumann, Simon; Baltes, Christof; Boesiger, Peter; Jäncke, Lutz (2007). Comparison of "silent" clustered and sparse temporal fMRI acquisitions in tonal and speech perception tasks. NeuroImage, 37(4):1195-204.

Abstract

In the functional imaging of auditory cortical functions, long silent periods between the data acquisitions prevent interferences between scanner noise and the auditory stimulus processing. Recent fMRI studies have shown that sparse temporal acquisition designs are advantageous over continuous scanning protocols on physiological, perceptual, and cognitive levels. Sparse temporal acquisition schemes (STA) which use a single volume acquisition after each trial imply the advantage of auditory stimulation devoid of ambient scanner noise but have the drawback of a reduced statistical power. To alleviate this effect, STA schemes have been extended to clustered-sparse temporal acquisition (CTA) designs which record several subsequent BOLD contrast images in rapid succession. In the present study, we collected data from 13 healthy volunteers performing a speech and a tonal discrimination task using both a CTA and STA scheme to carry out a systematic evaluation of these acquisition protocols. By statistical modeling of the fMRI data sets, we revealed stronger effect sizes for the STA protocol regardless of the task, reflecting the better signal-to-noise-ratio of MR images acquired with this scheme. In contrast, we demonstrate higher statistical power for the use of a CTA protocol. Accordingly, in the context of standard fMRI analysis, the CTA protocol clearly outperformed the STA scheme at the level of single-subject analysis and fixed-effects group analysis. Our results clearly suggest that it is advantageous to acquire several sample points per trial if one wants to use the benefit of "silent" fMRI. Furthermore, our data demonstrate the feasibility of the clustered acquisition of subsequent imaging volumes along the T1-decay.

Abstract

In the functional imaging of auditory cortical functions, long silent periods between the data acquisitions prevent interferences between scanner noise and the auditory stimulus processing. Recent fMRI studies have shown that sparse temporal acquisition designs are advantageous over continuous scanning protocols on physiological, perceptual, and cognitive levels. Sparse temporal acquisition schemes (STA) which use a single volume acquisition after each trial imply the advantage of auditory stimulation devoid of ambient scanner noise but have the drawback of a reduced statistical power. To alleviate this effect, STA schemes have been extended to clustered-sparse temporal acquisition (CTA) designs which record several subsequent BOLD contrast images in rapid succession. In the present study, we collected data from 13 healthy volunteers performing a speech and a tonal discrimination task using both a CTA and STA scheme to carry out a systematic evaluation of these acquisition protocols. By statistical modeling of the fMRI data sets, we revealed stronger effect sizes for the STA protocol regardless of the task, reflecting the better signal-to-noise-ratio of MR images acquired with this scheme. In contrast, we demonstrate higher statistical power for the use of a CTA protocol. Accordingly, in the context of standard fMRI analysis, the CTA protocol clearly outperformed the STA scheme at the level of single-subject analysis and fixed-effects group analysis. Our results clearly suggest that it is advantageous to acquire several sample points per trial if one wants to use the benefit of "silent" fMRI. Furthermore, our data demonstrate the feasibility of the clustered acquisition of subsequent imaging volumes along the T1-decay.

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31 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:150 Psychology
170 Ethics
610 Medicine & health
Date:2007
Deposited On:24 Apr 2013 09:50
Last Modified:05 Apr 2016 16:45
Publisher:Elsevier
ISSN:1053-8119
Publisher DOI:https://doi.org/10.1016/j.neuroimage.2007.04.073
PubMed ID:17644001

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