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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)
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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
Abstract: Human language has the unique characteristic where we can create infinite and novel phrases or sentences; this stems from the ability of composition, which allows us to combine smaller units into bigger meaningful units. Composition involves us following syntactic rules stored in memory and building well-formed structures incrementally. Research has shown that neural circuits can be associated with cognitive faculties such as memory and language and there is evidence indicating where and when the neural indices of the processing of composition are. However, it is not yet clear "how" neural circuits actually implement compositional processes. This dissertation aims to probe "how" composition of meaning is represented by neural circuits by investigating the role of low-frequency neural activity in carrying out composition. Neuroelectric signals were recorded with Electroencephalography (EEG) to examine the functional interpretation of low-frequency neural activity in the so-called delta band of 0.5 to 3 Hz. Activities in this band have been associated with the processing of syntactic structures (Ding et al. 2016). First, whether these activities are indeed associated with hierarchy remains under debate. This dissertation uses a novel condition in which the same words are presented, but their order is changed to remove the syntactic structure. Only entrainment with syllables was found in this "reversed" condition, supporting the hypothesis that neural activities in the delta band entrain to abstract syntactic structures. Second, we test the timing for language users to combine words and comprehend sentences. How comprehension correlates with this low-frequency neural activity and whether it represents endogenous neural response or evoked response remains unclear. This dissertation manipulates the length of syllables and regularity between syllables to test the hypotheses. The results support the view that this neural activity reflects endogenous response and suggest that it reflects top-down processing. Third, what semantic information modulates this low-frequency neural activity is unknown. This dissertation examines several semantic variables typically associated with different aspects of semantic processing. The stimuli are created by varying the statistical association between words, world knowledge, and the conceptual results of semantic composition. The current results suggest that low-frequency neural activity is not driven by semantic processing. Based on the above findings, we propose that neural activities in the delta band reflect top-down predictive processing that involves syntactic information directly but not semantic information. ; PHD ; Linguistics ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/169907/1/chiawenl_1.pdf
Keyword: Electroencephalography (EEG); Humanities; Language comprehension; Linguistics; Neural entrainment; Semantics; Syntax; Temporal dynamics
URL: https://doi.org/10.7302/2952
https://hdl.handle.net/2027.42/169907
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