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1
Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
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2
Computational Models in Electroencephalography.
In: Brain topography, vol 35, iss 1 (2022)
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3
Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
Oosterhuis, Elise. - : Open Science Framework, 2022
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4
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
Monahan, Philip. - : Open Science Framework, 2022
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5
A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
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6
Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
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7
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
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8
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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9
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
Monahan, Philip J.; Schertz, Jessamyn; Fu, Zhanao. - : University of Toronto, 2022
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10
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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11
Somatosensory contribution to audio-visual speech processing
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
Abstract: International audience ; Recent studies have demonstrated that the auditory speech perception of a listener can be modulated by somatosensory input applied to the facial skin suggesting that perception is an embodied process. However, speech perception is a multisensory process involving both the auditory and visual modalities. It is unknown whether and to what extent somatosensory stimulation to the facial skin modulates audio-visual speech perception. If speech perception is an embodied process, then somatosensory stimulation applied to the perceiver should influence audio-visual speech processing. Using the McGurk effect (the perceptual illusion that occurs when a sound is paired with the visual representation of a different sound, resulting in the perception of a third sound) we tested the prediction using a simple behavioral paradigm and at the neural level using event-related potentials (ERPs) and their cortical sources. We recorded ERPs from 64 scalp sites in response to congruent and incongruent audio-visual speech randomly presented with and without somatosensory stimulation associated with facial skin deformation. Subjects judged whether the production was/ba/or not under all stimulus conditions. In the congruent audio-visual condition subjects identifying the sound as/ba/, but not in the incongruent condition consistent with the McGurk effect. Concurrent somatosensory stimulation improved the ability of participants to more correctly identify the production as/ba/relative to the non-somatosensory condition in both congruent and incongruent conditions. ERP in response to the somatosensory stimulation for the incongruent condition reliably diverged 220 ms after stimulation onset. Cortical sources were estimated around the left anterior temporal gyrus, the right middle temporal gyrus, the right posterior superior temporal lobe and the right occipital region. The results demonstrate a clear multisensory convergence of somatosensory and audio-visual processing in both behavioral and neural processing consistent with the perspective that speech perception is a self-referenced, sensorimotor process.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SCCO.NEUR]Cognitive science/Neuroscience; [SCCO]Cognitive science; AV speech perception; Electroencephalography EEG; Event Related Potential ERP; Multisensory Integration; Somatosensory processing
URL: https://hal.archives-ouvertes.fr/hal-03320604/document
https://hal.archives-ouvertes.fr/hal-03320604
https://doi.org/10.1016/j.cortex.2021.07.013
https://hal.archives-ouvertes.fr/hal-03320604/file/ito_bodyRall.pdf
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12
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel; Stearns, Laura; Bergen, Leon. - : eScholarship, University of California, 2021
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13
Good Scientific Practice in MEEG Research: Progress and Perspectives
In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
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14
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
Bernabeu, Pablo. - : Open Science Framework, 2021
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15
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
Uhrig, Stefan Josef. - : Technische Universität Berlin, 2021
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16
Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
Van Bree, Sander; Sohoglu, Ediz; Davis, Matt. - : Apollo - University of Cambridge Repository, 2021
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17
Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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18
Testing Low-Frequency Neural Activity in Sentence Understanding ...
Lo, Chia-Wen. - : My University, 2021
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19
ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
Карпов, О.Э.; Даминов, В.Д.; Новак, Э.В.. - : Фонд развития современных и цифровых технологий, 2021
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20
Testing Low-Frequency Neural Activity in Sentence Understanding
Lo, Chia-Wen. - 2021
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