Task-dependent modulation of the visual sensory thalamus assists visual-speech recognition
Publication date
2018-09ISSN
1053-8119
Abstract
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.
Document Type
Article
Document version
Accepted version
Language
English
Subject (CDU)
61 - Medical sciences
Keywords
Pages
58
Publisher
Elsevier
Collection
178;
Is part of
NeuroImage
Recommended citation
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
Grant agreement number
info:eu-repo/grantAgreement/EC/FP7/32867
Note
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.
This item appears in the following Collection(s)
- Ciències de la Salut [980]
Rights
© 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/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-sa/4.0/

