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Increased Functional Connectivity of the Intraparietal Sulcus Underlies the Attenuation of Numerosity Estimations for Self-Generated Words.

Authors :
Stripeikyte, Giedre
Pereira, Michael
Rognini, Giulio
Potheegadoo, Jevita
Blanke, Olaf
Faivre, Nathan
Source :
Journal of Neuroscience; 10/27/2021, Vol. 41 Issue 43, p8917-8927, 11p
Publication Year :
2021

Abstract

Previous studies have shown that self-generated stimuli in auditory, visual, and somatosensory domains are attenuated, producing decreased behavioral and neural responses compared with the same stimuli that are externally generated. Yet, whether such attenuation also occurs for higher-level cognitive functions beyond sensorimotor processing remains unknown. In this study, we assessed whether cognitive functions such as numerosity estimations are subject to attenuation in 56 healthy participants (32 women). We designed a task allowing the controlled comparison of numerosity estimations for self-generated (active condition) and externally generated (passive condition) words. Our behavioral results showed a larger underestimation of self-generated compared with externally generated words, suggesting that numerosity estimations for self-generated words are attenuated. Moreover, the linear relationship between the reported and actual number of words was stronger for self-generated words, although the ability to track errors about numerosity estimations was similar across conditions. Neuroimaging results revealed that numerosity underestimation involved increased functional connectivity between the right intraparietal sulcus and an extended network (bilateral supplementary motor area, left inferior parietal lobule, and left superior temporal gyrus) when estimating the number of self-generated versus externally generated words. We interpret our results in light of two models of attenuation and discuss their perceptual versus cognitive origins. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02706474
Volume :
41
Issue :
43
Database :
Complementary Index
Journal :
Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
153334976
Full Text :
https://doi.org/10.1523/JNEUROSCI.3164-20.2021