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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 Hits 1 – 9 of 9 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

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