Faculty Opinions recommendation of Brain network mechanisms of visual shape completion.

Author(s):  
Marlene Behrmann
NeuroImage ◽  
2021 ◽  
Vol 236 ◽  
pp. 118069
Author(s):  
Brian P. Keane ◽  
Deanna M. Barch ◽  
Ravi D. Mill ◽  
Steven M. Silverstein ◽  
Bart Krekelberg ◽  
...  

2019 ◽  
Vol 45 (Supplement_2) ◽  
pp. S113-S113
Author(s):  
Brian Keane ◽  
Danielle Paterno ◽  
Sabine Kastner ◽  
Bart Krekelberg ◽  
Steven Silverstein

2019 ◽  
Vol 128 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Brian P. Keane ◽  
Danielle Paterno ◽  
Sabine Kastner ◽  
Bart Krekelberg ◽  
Steven M. Silverstein

2020 ◽  
Author(s):  
Brian P. Keane ◽  
Deanna M. Barch ◽  
Ravi D. Mill ◽  
Steven M. Silverstein ◽  
Bart Krekelberg ◽  
...  

AbstractVisual shape completion represents object shape, size, and number from spatially segregated edges. Despite being extensively investigated, the process’s underlying brain regions, networks, and functional connections are still not well understood. To shed light on the topic, we scanned (fMRI) healthy adults during rest and during a task in which they discriminated pac-man configurations that formed or failed to form visually completed shapes (illusory and fragmented condition, respectively). Task activation differences (illusory-fragmented), resting-state functional connectivity, and multivariate pattern differences were identified on the cortical surface using 360 predefined parcels and 12 functional networks composed of such parcels. Brain activity flow mapping (ActFlow) was used to evaluate the likely involvement of resting-state connections for shape completion. We identified 34 differentially-active parcels including a posterior temporal region, PH, whose activity was consistent across all 20 observers. Significant task regions primarily occupied the secondary visual network but also incorporated the frontoparietal, dorsal attention, default mode, and cingulo-opercular networks. Each parcel’s task activation difference could be modeled via its resting-state connections with the remaining parcels (r=.62, p<10-9), suggesting that such connections undergird shape completion. Functional connections from the dorsal attention network were key in modeling activation differences in the secondary visual network and across all remaining networks. Taken together, these results suggest that shape completion relies upon a distributed but densely interconnected network coalition that is centered in the secondary visual network, coordinated by the dorsal attention network, and inclusive of at least three other networks.HighlightsShape completion differentially activates regions distributed across five networksThe secondary visual network plays the clearest role in shape completionDorsal attention functional connections likely coordinate activity across networksPosterior temporal region, PH, played a highly consistent role in completion


2013 ◽  
Author(s):  
R. J. Elbin ◽  
Anthony P. Kontos ◽  
Jennine Wedge ◽  
Aiobheann Cline ◽  
Scott Dakan ◽  
...  

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