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Graph theoretical analysis reveals the adaptive role of the left ventral occipito-temporal cortex in the brain networks during speech processing
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In: https://hal.archives-ouvertes.fr/hal-03576260 ; 2022 (2022)
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Neuro-computational models of language processing
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In: EISSN: 2333-9691 ; Annual Review of Linguistics ; https://hal.archives-ouvertes.fr/hal-03334485 ; Annual Review of Linguistics, Annual Reviews, In press, ⟨10.1146/lingbuzz/006147⟩ (2021)
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Le Petit Prince: A multilingual fMRI corpus using ecological stimuli ...
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Le Petit Prince: A multilingual fMRI corpus using ecological stimuli ...
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Le Petit Prince: A multilingual fMRI corpus using ecological stimuli ...
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Le Petit Prince: A multilingual fMRI corpus using ecological stimuli ...
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Le Petit Prince: A multilingual fMRI corpus using ecological stimuli ...
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Cortical encoding of linguistic constituent with and without morphosyntactic cues
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In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03025786 ; Cortex, Elsevier, 2020, 129, pp.281 - 295. ⟨10.1016/j.cortex.2020.04.024⟩ (2020)
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Modeling Conventionalization and Predictability within MWEs at the Brain Level
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level
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In: CRCNS 2019 ; https://hal.inria.fr/hal-02272435 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019)
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Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
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In: EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing ; https://hal.inria.fr/hal-02272303 ; EMNLP-IJCNLP 2019 - Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Nov 2019, Hong-Kong, China. ⟨10.18653/v1/D19-1106⟩ (2019)
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Variable beam search for generative neural parsing and its fit with neuro-imaging signal
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In: CRCNS 2019 ; https://hal.inria.fr/hal-02272475 ; CRCNS 2019, Sep 2019, Austin (Texas), United States (2019)
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Top-down activation of the visuo-orthographic system during spoken sentence processing
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-02314241 ; NeuroImage, Elsevier, 2019, 202, pp.116135. ⟨10.1016/j.neuroimage.2019.116135⟩ (2019)
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Abstract:
International audience ; The left ventral occipitotemporal cortex (vOT) is considered the key area of the visuo-orthographic system. However, some studies reported that the area is also involved in speech processing tasks, especially those that require activation of orthographic knowledge. These findings suggest the existence of a top-down activation mechanism allowing such cross-modal activation. Yet, little is known about the involvement of the vOT in more natural speech processing situations like spoken sentence processing. Here, we addressed this issue in a functional Magnetic Resonance Imaging (fMRI) study while manipulating the impacts of two factors, i.e., task demands (semantic vs. low-level perceptual task) and the quality of speech signals (sentences presented against clear vs. noisy background). Analyses were performed at the levels of whole brain and region-of-interest (ROI) focusing on the vOT voxels individually identified through a reading task. Whole brain analysis showed that processing spoken sentences induced activity in a large network including the regions typically involved in phonological, articulatory, semantic and orthographic processing. ROI analysis further specified that a significant part of the vOT voxels that responded to written words also responded to spoken sentences, thus, suggesting that the same area within the left occipitotemporal pathway contributes to both reading and speech processing. Interestingly, both analyses provided converging evidence that vOT responses to speech were sensitive to both task demands and quality of speech signals: Compared to the low-level perceptual task, activity of the area increased when efforts on comprehension were required. The impact of background noise depended on task demands. It led to a decrease of vOT activity in the semantic task but not in the low-level perceptual task. Our results provide new insights into the function of this key area of the reading network, notably by showing that its speech-induced top-down activation also generalizes to ecological speech processing situations.
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Keyword:
[SCCO.NEUR]Cognitive science/Neuroscience; [SCCO.PSYC]Cognitive science/Psychology; fMRI; Left ventral occipitotemporal cortex; Natural speech processing; Speech in noise; Visual word form area
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URL: https://doi.org/10.1016/j.neuroimage.2019.116135
https://hal.archives-ouvertes.fr/hal-02314241/document
https://hal.archives-ouvertes.fr/hal-02314241
https://hal.archives-ouvertes.fr/hal-02314241/file/Planton_Top-down%20activation%20of%20the%20visuo-orthographic%20system%20during%20spoken_NeuroImage2019.pdf
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Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal
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In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.archives-ouvertes.fr/hal-03025859 ; Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, France. pp.1150-1160, ⟨10.18653/v1/D19-1106⟩ (2019)
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Shared genetic aetiology between cognitive performance and brain activations in language and math tasks
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal-cea.archives-ouvertes.fr/cea-01944702 ; Scientific Reports, Nature Publishing Group, 2018, 8, pp.17624. ⟨10.1038/s41598-018-35665-0⟩ (2018)
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Localising Memory Retrieval and Syntactic Composition: An fMRI Study of Naturalistic Language Comprehension
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In: ISSN: 2327-3798 ; EISSN: 2327-3801 ; Language, Cognition and Neuroscience ; https://hal.archives-ouvertes.fr/hal-01930201 ; Language, Cognition and Neuroscience, Taylor and Francis, In press, 34 (4), pp.1-20. ⟨10.1080/23273798.2018.1518533⟩ (2018)
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Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension ...
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Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension ...
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