Published December 2019
| Version v1
Journal article
The visual word form area (VWFA) is part of both language and attention circuitry
Contributors
Others:
- Department of Psychiatry and Behavioral Sciences [Stanford] ; Stanford Medicine ; Stanford University-Stanford University
- Modelling brain structure, function and variability based on high-field MRI data (PARIETAL) ; Service NEUROSPIN (NEUROSPIN) ; Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Computational Imaging of the Central Nervous System (ATHENA) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Stanford School of Medicine [Stanford] ; Stanford Medicine ; Stanford University-Stanford University
- LargeBrainNetsLargeSmallBrainNets
- LargeBrainNets
- LargeSmallBrainNets
- European Project: 757672,H2020 Pilier ERC,NeuroLang(2018)
Description
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.
Abstract
Lang Chen, Demian Wassermann, and Daniel Abrams contributed equallyAbstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-02401938
- URN
- urn:oai:HAL:hal-02401938v1
Origin repository
- Origin repository
- UNICA