Abstract
The neural mechanisms underlying conscious recognition remain unclear, particularly the roles played by the prefrontal cortex, deactivated brain areas and subcortical regions. We investigated neural activity during conscious object recognition using 7 Tesla fMRI while human participants viewed object images presented at liminal contrasts. Here, we show both recognized and unrecognized images recruit widely distributed cortical and subcortical regions; however, recognized images elicit enhanced activation of visual, frontoparietal, and subcortical networks and stronger deactivation of the default-mode network. For recognized images, object category information can be decoded from all of the involved cortical networks but not from subcortical regions. Phase-scrambled images trigger strong involvement of inferior frontal junction, anterior cingulate cortex and default-mode network, implicating these regions in inferential processing under increased uncertainty. Our results indicate that content-specific activity in both activated and deactivated cortical networks and non-content-specific subcortical activity support conscious recognition.
Original language | English |
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Article number | 2930 |
Journal | Nature Communications |
Volume | 12 |
Issue number | 1 |
DOIs | |
State | Published - 18 May 2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021, The Author(s).
Funding
This research was supported by a National Science Foundation CAREER Award to B.J.H. (BCS-1753218). We thank Siemens Medical Solutions USA, Inc. and the Center for Magnetic Resonance Research at University of Minnesota for sharing the multi-band fMRI sequence. We thank Karina Melnik and Navin Kariyawasam for helping with fMRI data preprocessing, Yuan-hao Wu for comments on the manuscript draft. Graphic elements for figures were downloaded from https://publicdomainvectors.org/.
Funders | Funder number |
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National Science Foundation | BCS-1753218 |
National Institute of Biomedical Imaging and Bioengineering | R01EB028774 |