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. 2016 Sep 21;10:435. doi: 10.3389/fnhum.2016.00435

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Copyright © 2016 Schomers and Pulvermüller.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Multivariate pattern analysis (MVPA) phoneme-specificity maps as a function of signal-to-noise ratio (SNR; in dB). A more negative SNR indicates more additional noise on top of scanner noise attenuated by 25 dB (which was always present, even in the “no noise” condition). Successful MVPA decoding of phoneme identity in ventral premotor cortex (PMC) can only be seen in the “no noise” condition (D), whereas with increasing noise (A–C), decoding is unsuccessful in ventral PMC, but still successful in dorsal PMC and inferior frontal regions (see main text for detailed discussion). Adapted from Du et al. (2014; Figure S4).