EconPapers    
Economics at your fingertips  
 

The visual word form area (VWFA) is part of both language and attention circuitry

Lang Chen (), Demian Wassermann, Daniel A. Abrams, John Kochalka, Guillermo Gallardo-Diez and Vinod Menon ()
Additional contact information
Lang Chen: Stanford University
Demian Wassermann: Parietal, Inria Saclay Île-de-France, CEA, Université Paris-Sud
Daniel A. Abrams: Stanford University
John Kochalka: Stanford University
Guillermo Gallardo-Diez: Athena Project Team, INRIA Sophia Antipolis-Méditerranée
Vinod Menon: Stanford University

Nature Communications, 2019, vol. 10, issue 1, 1-12

Abstract: Abstract While predominant models of visual word form area (VWFA) function argue for its specific role in decoding written language, other accounts propose a more general role of VWFA in complex visual processing. However, a comprehensive examination of structural and functional VWFA circuits and their relationship to behavior has been missing. Here, using high-resolution multimodal imaging data from a large Human Connectome Project cohort (N = 313), we demonstrate robust patterns of VWFA connectivity with both canonical language and attentional networks. Brain-behavior relationships revealed a striking pattern of double dissociation: structural connectivity of VWFA with lateral temporal language network predicted language, but not visuo-spatial attention abilities, while VWFA connectivity with dorsal fronto-parietal attention network predicted visuo-spatial attention, but not language abilities. Our findings support a multiplex model of VWFA function characterized by distinct circuits for integrating language and attention, and point to connectivity-constrained cognition as a key principle of human brain organization.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-019-13634-z Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13634-z

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-13634-z

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13634-z