Task-dependent modulation of the visual sensory thalamus assists visual-speech recognition
Fecha de publicación
2018-09ISSN
1053-8119
Resumen
The cerebral cortex modulates early sensory processing via feed-back connections to sensory pathway nuclei. The functions of this top-down modulation for human behavior are poorly understood. Here, we show that top-down modulation of the visual sensory thalamus (the lateral geniculate body, LGN) is involved in visual-speech recognition. In two independent functional magnetic resonance imaging (fMRI) studies, LGN response increased when participants processed fast-varying features of articulatory movements required for visual-speech recognition, as compared to temporally more stable features required for face identification with the same stimulus material. The LGN response during the visual-speech task correlated positively with the visual-speech recognition scores across participants. In addition, the task-dependent modulation was present for speech movements and did not occur for control conditions involving non-speech biological movements. In face-to-face communication, visual speech recognition is used to enhance or even enable understanding what is said. Speech recognition is commonly explained in frameworks focusing on cerebral cortex areas. Our findings suggest that task-dependent modulation at subcortical sensory stages has an important role for communication: Together with similar findings in the auditory modality the findings imply that task-dependent modulation of the sensory thalami is a general mechanism to optimize speech recognition.
Tipo de documento
Artículo
Versión del documento
Versión aceptada
Lengua
Inglés
Materias (CDU)
61 - Medicina
Palabras clave
Páginas
58
Publicado por
Elsevier
Colección
178;
Publicado en
NeuroImage
Citación recomendada
Díaz Menéndez, Begoña; Blank, Helen; Von Kriegstein, Katharina. Task-dependent modulation of the visual sensory thalamus assists visual-speech recognition. NeuroImage, 2018, 178, p. 721-734. Disponible en: <https://www.sciencedirect.com/science/article/abs/pii/S1053811918304397?via%3Dihub>. Fecha de acceso: 29 jun. 2021. DOI: 10.1016/j.neuroimage.2018.05.032
Número del acuerdo de la subvención
info:eu-repo/grantAgreement/EC/FP7/32867
Nota
We would like to thank S. J. Kiebel for his comments on an earlier version of the manuscript. A Max Planck Research Group Grant and an ERC-Consolidator Grant (SENSOCOM, 647051) to K.v.K. supported this work. B.D. received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007–2013, REA grant agreement No. 32867) and a Juan de la Cierva fellowship (JCI-2012-12678). The authors declare to have no competing financial interests.
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Derechos
© 2018. This manuscript version is made available under the CC-BY-NC-SA 4.0 license. https://creativecommons.org/licenses/by-nc-sa/4.0/
Excepto si se señala otra cosa, la licencia del ítem se describe como https://creativecommons.org/licenses/by-nc-sa/4.0/

