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Spatial and temporal features of superordinate semantic processing studied with fMRI and EEG

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Spatial and temporal features of superordinate semantic processing studied with fMRI and EEG
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00293
Pubmed ID
Authors

Michelle E. Costanzo, Joseph J. McArdle, Bruce Swett, Vladimir Nechaev, Stefan Kemeny, Jiang Xu, Allen R. Braun

Abstract

The relationships between the anatomical representation of semantic knowledge in the human brain and the timing of neurophysiological mechanisms involved in manipulating such information remain unclear. This is the case for superordinate semantic categorization-the extraction of general features shared by broad classes of exemplars (e.g., living vs. non-living semantic categories). We proposed that, because of the abstract nature of this information, input from diverse input modalities (visual or auditory, lexical or non-lexical) should converge and be processed in the same regions of the brain, at similar time scales during superordinate categorization-specifically in a network of heteromodal regions, and late in the course of the categorization process. In order to test this hypothesis, we utilized electroencephalography and event related potentials (EEG/ERP) with functional magnetic resonance imaging (fMRI) to characterize subjects' responses as they made superordinate categorical decisions (living vs. non-living) about objects presented as visual pictures or auditory words. Our results reveal that, consistent with our hypothesis, during the course of superordinate categorization, information provided by these diverse inputs appears to converge in both time and space: fMRI showed that heteromodal areas of the parietal and temporal cortices are active during categorization of both classes of stimuli. The ERP results suggest that superordinate categorization is reflected as a late positive component (LPC) with a parietal distribution and long latencies for both stimulus types. Within the areas and times in which modality independent responses were identified, some differences between living and non-living categories were observed, with a more widespread spatial extent and longer latency responses for categorization of non-living items.

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Mendeley readers

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The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Colombia 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 7 13%
Student > Bachelor 5 9%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 8 15%
Unknown 13 24%
Readers by discipline Count As %
Psychology 18 33%
Neuroscience 5 9%
Linguistics 4 7%
Engineering 4 7%
Computer Science 3 6%
Other 5 9%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Frontiers in Human Neuroscience
#6,524
of 7,128 outputs
Outputs of similar age
#248,765
of 280,747 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#817
of 862 outputs
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