Your browser doesn't support javascript.
loading
Visual word processing engages a hierarchical, distributed, and bilateral cortical network.
Vin, Raina; Blauch, Nicholas M; Plaut, David C; Behrmann, Marlene.
Afiliación
  • Vin R; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Blauch NM; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Plaut DC; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
  • Behrmann M; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
iScience ; 27(2): 108809, 2024 Feb 16.
Article en En | MEDLINE | ID: mdl-38303718
ABSTRACT
Although the Visual Word Form Area (VWFA) in left temporal cortex is considered the pre-eminent region in visual word processing, other regions are also implicated. We examined the entire text-selective circuit, using functional MRI. Ten regions of interest (ROIs) per hemisphere were defined, which, based on clustering, grouped into early vision, high-level vision, and language clusters. We analyzed the responses of the ROIs and clusters to words, inverted words, and consonant strings using univariate, multivariate, and functional connectivity measures. Bilateral modulation by stimulus condition was evident, with a stronger effect in left hemisphere regions. Last, using graph theory, we observed that the VWFA was equivalently connected with early visual and language clusters in both hemispheres, reflecting its role as a mediator in the circuit. Although the individual ROIs and clusters bilaterally were flexibly altered by the nature of the input, stability held at the level of global circuit connectivity, reflecting the complex hierarchical distributed system serving visual text perception.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos