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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...28 Hits 1 – 20 of 545 1 Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill Panda, Erin J.; Valiante, Taufik A.; Pang, Elizabeth W.. - : Elsevier, 2022 BASE Show details 2 Computational Models in Electroencephalography. Glomb, Katharina; Cabral, Joana; Cattani, Anna... In: Brain topography, vol 35, iss 1 (2022) BASE Show details 3 Functional Brain Networks and Verbal Fluency in Healthy Ageing ... Oosterhuis, Elise. - : Open Science Framework, 2022 BASE Show details 4 Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ... Monahan, Philip. - : Open Science Framework, 2022 BASE Show details 5 A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia Rene L. Utianski; Hugo Botha; John N. Caviness; Gregory A. Worrell; Joseph R. Duffy; Heather M. Clark; Jennifer L. Whitwell; Keith A. Josephs In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022) BASE Show details 6 Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial Jui-Tai Chen; Yu-Ming Wu; Tung-Yu Tiong; Juan P. Cata; Kuang-Tai Kuo; Chun-Cheng Li; Hsin-Yi Liu; Yih-Giun Cherng; Hsiang-Ling Wu; Ying-Hsuan Tai In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022) 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. Keyword: chest surgery; delirium; depth of anesthesia; electroencephalography; emergence agitation URL: https://doi.org/10.3390/jcm11061631 BASE Hide details 7 Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface Mahsa Bagheri; Sarah D. Power In: Sensors; Volume 22; Issue 2; Pages: 535 (2022) BASE Show details 8 Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Marcus Liwicki In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022) BASE Show details 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 BASE Show details 10 A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets Santana, Adrielle,; Barbosa, Adriano,; Yehia, Hani,... In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), &#x27E8;10.1186/s12868-020-00605-0&#x27E9; (2021) BASE Show details 11 Somatosensory contribution to audio-visual speech processing Ito, Takayuki; Ohashi, Hiroki; Gracco, Vincent In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. &#x27E8;10.1016/j.cortex.2021.07.013&#x27E9; ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021) BASE Show details 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 BASE Show details 13 Good Scientific Practice in MEEG Research: Progress and Perspectives Niso, Guiomar; Krol, Laurens; Combrisson, Etienne... In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021) BASE Show details 14 Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ... Bernabeu, Pablo. - : Open Science Framework, 2021 BASE Show details 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 BASE Show details 16 Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ... Van Bree, Sander; Sohoglu, Ediz; Davis, Matt. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 17 Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study Lucía Fernández-Romero; Adela Fraile-Pereda; Paloma Balugo... In: Brain Sciences ; Volume 11 ; Issue 10 (2021) BASE Show details 18 Testing Low-Frequency Neural Activity in Sentence Understanding ... Lo, Chia-Wen. - : My University, 2021 BASE Show details 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 BASE Show details 20 Testing Low-Frequency Neural Activity in Sentence Understanding Lo, Chia-Wen. - 2021 BASE Show details Page: 1 2 3 4 5...28

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