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.
journal_name
Hum Brain Mappjournal_title
Human brain mappingauthors
Gaab N,Gabrieli JD,Glover GHdoi
10.1002/hbm.20298subject
Has Abstractpub_date
2007-08-01 00:00:00pages
703-20issue
8eissn
1065-9471issn
1097-0193journal_volume
28pub_type
杂志文章abstract::A new procedure to model extended cortical sources from EEG and MEG recordings based on a probabilistic approach is presented. The method (SPMECS) was implemented within the framework of maximum likelihood estimators. Neuronal activity generating EEG or MEG signals was characterized by the number of sources and their ...
journal_title:Human brain mapping
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journal_title:Human brain mapping
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journal_title:Human brain mapping
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journal_title:Human brain mapping
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journal_title:Human brain mapping
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journal_title:Human brain mapping
pub_type: 杂志文章
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journal_title:Human brain mapping
pub_type: 杂志文章
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journal_title:Human brain mapping
pub_type: 杂志文章
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journal_title:Human brain mapping
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journal_title:Human brain mapping
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journal_title:Human brain mapping
pub_type: 杂志文章
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pub_type: 杂志文章,meta分析
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pub_type: 杂志文章,随机对照试验
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journal_title:Human brain mapping
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