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Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
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Computational Models in Electroencephalography.
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In: Brain topography, vol 35, iss 1 (2022)
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Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
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Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
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A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
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In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
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Abstract:
The objective of this study was to characterize network-level changes in nonfluent/agrammatic Primary Progressive Aphasia (agPPA) and Primary Progressive Apraxia of Speech (PPAOS) with graph theory (GT) measures derived from scalp electroencephalography (EEG) recordings. EEGs of 15 agPPA and 7 PPAOS patients were collected during relaxed wakefulness with eyes closed (21 electrodes, 10–20 positions, 256 Hz sampling rate, 1–200 Hz bandpass filter). Eight artifact-free, non-overlapping 1024-point epochs were selected. Via Brainwave software, GT weighted connectivity and minimum spanning tree (MST) measures were calculated for theta and upper and lower alpha frequency bands. Differences in GT and MST measures between agPPA and PPAOS were assessed with Wilcoxon rank-sum tests. Of greatest interest, Spearman correlations were computed between behavioral and network measures in all frequency bands across all patients. There were no statistically significant differences in GT or MST measures between agPPA and PPAOS. There were significant correlations between several network and behavioral variables. The correlations demonstrate a relationship between reduced global efficiency and clinical symptom severity (e.g., parkinsonism, AOS). This preliminary, exploratory study demonstrates potential for EEG GT measures to quantify network changes associated with degenerative speech–language disorders.
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Keyword:
electroencephalography (EEG); graph theory; network analysis; primary progressive aphasia; progressive apraxia of speech
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URL: https://doi.org/10.3390/brainsci12030378
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Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
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In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
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Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
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In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
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Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
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In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
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A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
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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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Somatosensory contribution to audio-visual speech processing
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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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An ERP index of real-time error correction within a noisy-channel framework of human communication.
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Good Scientific Practice in MEEG Research: Progress and Perspectives
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In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
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Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
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Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
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Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
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In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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Testing Low-Frequency Neural Activity in Sentence Understanding ...
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ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
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Testing Low-Frequency Neural Activity in Sentence Understanding
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