Fig. 1. Spectrograms. The illustration shows example spectrograms and waveforms for stimuli used. Panel A shows examples for the prosody condition (‘You.

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Fig. 1. Spectrograms. The illustration shows example spectrograms and waveforms for stimuli used. Panel A shows examples for the prosody condition (‘You often read books at night’ spoken in neutral, controlling, or autonomy-supportive prosody), while Panel B shows examples for the speech condition (‘You often read books at night’ spoken in neutral, ‘You better do it my way’ spoken in controlling, and ‘You may do this if you choose’ spoken in autonomy-supportive prosody). Spectrograms show visible pitch contours and were created with Praat (Boersma and Weenink, 2013). From: ERP correlates of motivating voices: quality of motivation and time-course matters Soc Cogn Affect Neurosci. Published online May 19, 2017. doi:10.1093/scan/nsx064 Soc Cogn Affect Neurosci | © The Author (2017). Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Fig. 2. P200 and late component effects. (A, B, C, D) Fig. 2. P200 and late component effects. (A, B, C, D). The illustration shows event-related brain potentials in response to motivational stimuli at selected electrode-sites from 100 ms before the start of the sentence up to 800 ms into the sentence. Panel A displays effect for the prosody condition, panel B for the speech condition, and panels C and D compare these effects for autonomy-supportive (C) and controlling speech (D). Negativity is plotted upwards. From: ERP correlates of motivating voices: quality of motivation and time-course matters Soc Cogn Affect Neurosci. Published online May 19, 2017. doi:10.1093/scan/nsx064 Soc Cogn Affect Neurosci | © The Author (2017). Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Fig. 3. Topography. (A, B, C, D). The illustration shows topographical maps for the P2 and late component time windows illustrating the distribution of the responses to neutral, autonomy-supportive and controlling prosody (A, C) as well as neutral, autonomy-supportive and controlling speech (B, D). From: ERP correlates of motivating voices: quality of motivation and time-course matters Soc Cogn Affect Neurosci. Published online May 19, 2017. doi:10.1093/scan/nsx064 Soc Cogn Affect Neurosci | © The Author (2017). Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.