The Network Architecture of Cortical Processing in Visuo-Spatial Reasoning

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The Network Architecture of Cortical Processing in Visuo-Spatial Reasoning

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Title: The Network Architecture of Cortical Processing in Visuo-Spatial Reasoning
Author(s):
Shokri-Kojori, Ehsan;
Motes, Michael A.;
Rypma, Bart;
Krawczyk, Daniel C.
Sponsors: School of Behavioral and Brain Sciences. Center for BrainHealth.
Date Created: 8/30/2011
Format: text
Item Type: article
Keywords: Frontal Lobe
Prefrontal Cortex
Short-term memory
Abstract: Reasoning processes have been closely associated with prefrontal cortex (PFC), but specifically emerge from interactions among networks of brain regions. Yet it remains a challenge to integrate these brain-wide interactions in identifying the flow of processing emerging from sensory brain regions to abstract processing regions, particularly within PFC. Functional magnetic resonance imaging data were collected while participants performed a visuo-spatial reasoning task. We found increasing involvement of occipital and parietal regions together with caudal-rostral recruitment of PFC as stimulus dimensions increased. Brain-wide connectivity analysis revealed that interactions between primary visual and parietal regions predominantly influenced activity in frontal lobes. Caudal-to-rostral influences were found within left-PFC. Right-PFC showed evidence of rostral-to-caudal connectivity in addition to relatively independent influences from occipito-parietal cortices. In the context of hierarchical views of PFC organization, our results suggest that a caudal-to-rostral flow of processing may emerge within PFC in reasoning tasks with minimal top-down deductive requirements.
ISSN: 2045-2322
Link to Related Resource: http://dx.doi.org/10.1038/srep00411
Persistent Link: http://hdl.handle.net/10735.1/2872
Bibliographic Citation: Shokri-Kojori, E., M. A. Motes, B. Rypma, and D. C. Krawczyk. 2012. "The network architecture of cortical processing in visuo-spatial reasoning." Scientific Reports 2 (411).
Terms of Use: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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