Song & speech: perception & covert production: New findings using multi-voxel 
pattern analysis

Goldhahn, D; Callan, D; Lohmann, G; Turner, R

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Meeting Abstract

Song & speech: perception & covert production: New findings using multi-voxel pattern analysis

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Lohmann, G
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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https://cds.ismrm.org/protected/11MProceedings/files/1_program.htm
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Citation

Goldhahn, D., Callan, D., Lohmann, G., & Turner, R. (2011). Song & speech: perception & covert production: New findings using multi-voxel pattern analysis. In 19th Scientific Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2011).

Cite as: https://hdl.handle.net/21.11116/0000-0002-4C2B-A

Abstract

Multi-Voxel Pattern Analysis (MVPA) is a powerful technique for the analysis of fMRI data. It uses the information present in multiple voxels to distinguish between experimental conditions. In this abstract we apply MVPA to examine brain regions differentially involved with listening to and covert production of song relative to speech. We present new findings that univariate analysis failed to discover, and investigate what underlies this discrepancy. As a particular example the superior temporal gyri are discussed, which show highly differential activity for the contrast of covert production of song versus covert production of speech only when using MVPA.