Cortical and subcortical signatures of conscious object recognition

Max Levinson, Ella Podvalny, Steven H. Baete and Biyu J. He ()
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Max Levinson: New York University School of Medicine
Ella Podvalny: New York University School of Medicine
Steven H. Baete: New York University School of Medicine
Biyu J. He: New York University School of Medicine

Nature Communications, 2021, vol. 12, issue 1, 1-16

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23266-x

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DOI: 10.1038/s41467-021-23266-x

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