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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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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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Abstract:
The clinical efficacy of spectral entropy monitoring in improving postoperative recovery remains unclear. This trial aimed to investigate the impact of M-Entropy (GE Healthcare, Helsinki, Finland) guidance on emergence from anesthesia and postoperative delirium in thoracic surgery. Adult patients undergoing video-assisted thoracoscopic surgery for lung resection at a medical center were randomly allocated into the M-Entropy guidance group (n = 39) and the control group (n = 37). In the M-Entropy guidance group, sevoflurane anesthesia was titrated to maintain response and state entropy values between 40 and 60 intraoperatively. In the control group, the dosing of sevoflurane was adjusted based on clinical judgment and vital signs. The primary outcome was time to spontaneous eye opening. M-Entropy guidance significantly reduced the time proportion of deep anesthesia (entropy value <40) during surgery, mean difference: −21.5% (95% confidence interval (CI): −32.7 to −10.3) for response entropy and −24.2% (−36.3 to −12.2) for state entropy. M-Entropy guidance significantly shortened time to spontaneous eye opening compared to clinical signs, mean difference: −154 s (95% CI: −259 to −49). In addition, patients of the M-Entropy group had a lower rate of emergence agitation (absolute risk reduction: 0.166, 95% CI: 0.005–0.328) and delirium (0.245, 0.093–0.396) at the postanesthesia care unit. M-Entropy-guided anesthesia hastened awakening and potentially prevented emergence agitation and delirium after thoracic surgery. These results may provide an implication for facilitating postoperative recovery and reducing the complications associated with delayed emergence and delirium.
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Keyword:
chest surgery; delirium; depth of anesthesia; electroencephalography; emergence agitation
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URL: https://doi.org/10.3390/jcm11061631
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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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