Results for 'EEG'

755 found
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  1. EEG Oscillatory States as Neuro-Phenomenology of Consciousness as Revealed From Patients in Vegetative and Minimally Conscious States.Alexander A. Fingelkurts, Andrew A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2012 - Consciousness and Cognition 21 (1):149-169.
    The value of resting electroencephalogram (EEG) in revealing neural constitutes of consciousness (NCC) was examined. We quantified the dynamic repertoire, duration and oscillatory type of EEG microstates in eyes-closed rest in relation to the degree of expression of clinical self-consciousness. For NCC a model was suggested that contrasted normal, severely disturbed state of consciousness and state without consciousness. Patients with disorders of consciousness were used. Results suggested that the repertoire, duration and oscillatory type of EEG microstates in resting condition quantitatively (...)
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  2.  18
    EEG Beta Suppression and Low Gamma Modulation Are Different Elements of Human Upright Walking.Martin Seeber, Reinhold Scherer, Johanna Wagner, Teodoro Solis-Escalante & Gernot R. Mã¼Ller-Putz - 2014 - Frontiers in Human Neuroscience 8.
  3.  9
    EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial.Stefanie Enriquez-Geppert, René J. Huster & Christoph S. Herrmann - 2017 - Frontiers in Human Neuroscience 11.
  4.  17
    EEG Differentiation Analysis and Stimulus Set Meaningfulness.Armand Mensen, William Marshall & Giulio Tononi - 2017 - Frontiers in Psychology 8.
    A set of images can be considered as meaningfully different for an observer if they can be distinguished phenomenally from one another. Each phenomenal difference must be supported by some neurophysiological differences. Differentiation analysis aims to quantify neurophysiological differentiation evoked by a given set of stimuli to assess its meaningfulness to the individual observer. As a proof of concept using high-density EEG, we show increased neurophysiological differentiation for a set of natural, meaningfully different images in contrast to another set of (...)
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  5.  9
    EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.Greg Rupp, Chris Berka, Amir H. Meghdadi, Marija Stevanović Karić, Marc Casillas, Stephanie Smith, Theodore Rosenthal, Kevin McShea, Emily Sones & Thomas D. Marcotte - 2019 - Frontiers in Human Neuroscience 12.
  6.  21
    EEG Cortical Connectivity Analysis of Working Memory Reveals Topological Reorganization in Theta and Alpha Bands.Zhongxiang Dai, Joshua de Souza, Julian Lim, Paul M. Ho, Yu Chen, Junhua Li, Nitish Thakor, Anastasios Bezerianos & Yu Sun - 2017 - Frontiers in Human Neuroscience 11.
  7.  38
    EEG Manifestations of Nondual Experiences in Meditators.Amanda E. Berman & Larry Stevens - 2015 - Consciousness and Cognition 31:1-11.
  8.  6
    EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings.Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Nicolina Sciaraffa, Paola Lanzi, Simone Pozzi, Valeria Vignali, Claudio Lantieri, Arianna Bichicchi, Andrea Simone & Fabio Babiloni - 2018 - Frontiers in Human Neuroscience 12.
  9.  9
    EEG-Based Prediction of Cognitive Load in Intelligence Tests.Nir Friedman, Tomer Fekete, Kobi Gal & Oren Shriki - 2019 - Frontiers in Human Neuroscience 13.
  10.  4
    EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.Madiha Tariq, Pavel M. Trivailo & Milan Simic - 2018 - Frontiers in Human Neuroscience 12.
    Over recent years, brain-computer interface (BCI) has emerged as an alternative communication system between the human brain and an output device. Deciphered intents, after detecting electrical signals from the human scalp, are translated into control commands used to operate external devices, computer displays and virtual objects in the real-time. BCI provides an augmentative communication by creating a muscle-free channel between the brain and the output devices, primarily for subjects having neuromotor disorders, or trauma to nervous system, notably spinal cord injuries (...)
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  11.  6
    EEG Signal Diversity Varies With Sleep Stage and Aspects of Dream Experience.Arnfinn Aamodt, André Sevenius Nilsen, Benjamin Thürer, Fatemeh Hasanzadeh Moghadam, Nils Kauppi, Bjørn Erik Juel & Johan Frederik Storm - 2021 - Frontiers in Psychology 12.
    Several theories link consciousness to complex cortical dynamics, as suggested by comparison of brain signal diversity between conscious states and states where consciousness is lost or reduced. In particular, Lempel-Ziv complexity, amplitude coalition entropy and synchrony coalition entropy distinguish wakefulness and REM sleep from deep sleep and anesthesia, and are elevated in psychedelic states, reported to increase the range and vividness of conscious contents. Some studies have even found correlations between complexity measures and facets of self-reported experience. As suggested by (...)
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  12.  39
    EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patients.Rafael Ramirez, Josep Planas, Nuria Escude, Jordi Mercade & Cristina Farriols - 2018 - Frontiers in Psychology 9.
  13. EEG Brain Activity in Dynamic Health Qigong Training: Same Effects for Mental Practice and Physical Training?Diana Henz & Wolfgang I. Schöllhorn - 2017 - Frontiers in Psychology 8.
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  14.  5
    EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies. [REVIEW]Jennifer J. Newson & Tara C. Thiagarajan - 2019 - Frontiers in Human Neuroscience 12.
  15.  32
    EEG Spectral Generators Involved in Motor Imagery: A swLORETA Study.Ana-Maria Cebolla, Ernesto Palmero-Soler, Axelle Leroy & Guy Cheron - 2017 - Frontiers in Psychology 8.
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  16.  15
    EEG Correlates of the Flow State: A Combination of Increased Frontal Theta and Moderate Frontocentral Alpha Rhythm in the Mental Arithmetic Task.Kenji Katahira, Yoichi Yamazaki, Chiaki Yamaoka, Hiroaki Ozaki, Sayaka Nakagawa & Noriko Nagata - 2018 - Frontiers in Psychology 9.
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  17.  11
    EEG Alpha Asymmetry, Depression, and Cognitive Functioning.Ian H. Gotlib - 1998 - Cognition and Emotion 12 (3):449-478.
  18.  13
    EEG Microstates Analysis in Young Adults With Autism Spectrum Disorder During Resting-State.David F. D’Croz-Baron, Mary Baker, Christoph M. Michel & Tanja Karp - 2019 - Frontiers in Human Neuroscience 13.
  19.  10
    Simultaneous EEG-NIRS Measurement of the Inferior Parietal Lobule During a Reaching Task With Delayed Visual Feedback.Takuro Zama, Yoshiyuki Takahashi & Sotaro Shimada - 2019 - Frontiers in Human Neuroscience 13.
  20.  65
    EEG Paroxysmal Gamma Waves During Bhramari Pranayama: A Yoga Breathing Technique.F. Vialatte - 2009 - Consciousness and Cognition 18 (4):977-988.
    Here we report that a specific form of yoga can generate controlled high-frequency gamma waves. For the first time, paroxysmal gamma waves were observed in eight subjects practicing a yoga technique of breathing control called Bhramari Pranayama . To obtain new insights into the nature of the EEG during BhPr, we analyzed EEG signals using time-frequency representations , independent component analysis , and EEG tomography . We found that the PGW consists of high-frequency biphasic ripples. This unusual activity is discussed (...)
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  21.  16
    EEG Markers of Visually Experienced Self-Motion.Barry Robert, Palmisano Stephen, Schira Mark, De Blasio Frances, Karamacoska Diana & MacDonald Brett - 2014 - Frontiers in Human Neuroscience 8.
  22.  14
    EEG Spectral Analysis of Attention in ADHD: Implications for Neurofeedback Training?Hartmut Heinrich, Katrin Busch, Petra Studer, Karlheinz Erbe, Gunther H. Moll & Oliver Kratz - 2014 - Frontiers in Human Neuroscience 8.
  23.  17
    EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century.Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, Ioannis Kompatsiaris & Magda Tsolaki - 2018 - Frontiers in Human Neuroscience 12.
  24.  21
    EEG Beta Oscillations in the Temporoparietal Area Related to the Accuracy in Estimating Others' Preference.Jonghyeok Park, Hackjin Kim, Jeong-Woo Sohn, Jong-Ryul Choi & Sung-Phil Kim - 2018 - Frontiers in Human Neuroscience 12.
  25.  14
    EEG-Informed fMRI: A Review of Data Analysis Methods. [REVIEW]Rodolfo Abreu, Alberto Leal & Patrícia Figueiredo - 2018 - Frontiers in Human Neuroscience 12.
  26.  11
    Resting EEG in Alpha and Beta Bands Predicts Individual Differences in Attentional Breadth.Brent Pitchford & Karen M. Arnell - 2019 - Consciousness and Cognition 75:102803.
  27.  29
    Oscillatory EEG Correlates of Arithmetic Strategies: A Training Study.Roland H. Grabner & Bert De Smedt - 2012 - Frontiers in Psychology 3.
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  28.  7
    Commentary: EEG Beta Suppression and Low Gamma Modulation Are Different Elements of Human Upright Walking.Carlos Trenado - 2015 - Frontiers in Human Neuroscience 9.
  29.  31
    Infant EEG Activity as a Biomarker for Autism: A Promising Approach or a False Promise?Richard Griffin - unknown
    The ability to determine an infant’s likelihood of developing autism via a relatively simple neurological measure would constitute an important scientific breakthrough. In their recent publication in this journal, Bosl and colleagues claim that a measure of EEG complexity can be used to detect, with very high accuracy, infants at high risk for autism (HRA). On the surface, this appears to be that very scientific breakthrough and as such the paper has received widespread media attention. But a close look at (...)
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  30.  34
    EEG Oscillation Evidences of Enhanced Susceptibility to Emotional Stimuli During Adolescence.Xianxin Meng, Wenwen Liu, Ling Zhang, Xiang Li, Bo Yao, Xinsheng Ding, JiaJin Yuan & Jiemin Yang - 2016 - Frontiers in Psychology 7.
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  31.  43
    EEG-Guided Meditation: A Personalized Approach.Andrew A. Fingelkurts, Alexander A. Fingelkurts & Tarja Kallio-Tamminen - 2015 - Journal of Physiology-Paris 109 (4-6):180-190.
    The therapeutic potential of meditation for physical and mental well-being is well documented, however the possibility of adverse effects warrants further discussion of the suitability of any particular meditation practice for every given participant. This concern highlights the need for a personalized approach in the meditation practice adjusted for a concrete individual. This can be done by using an objective screening procedure that detects the weak and strong cognitive skills in brain function, thus helping design a tailored meditation training protocol. (...)
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  32.  7
    EEG Microstates Temporal Dynamics Differentiate Individuals with Mood and Anxiety Disorders From Healthy Subjects.Obada Al Zoubi, Ahmad Mayeli, Aki Tsuchiyagaito, Masaya Misaki, Vadim Zotev, Hazem Refai, Martin Paulus & Jerzy Bodurka - 2019 - Frontiers in Human Neuroscience 13.
  33.  4
    EEG Frequency Changes Prior to Making Errors in an Easy Stroop Task.Rachel Atchley, Daniel Klee & Barry Oken - 2017 - Frontiers in Human Neuroscience 11.
  34.  23
    EEG Resting State Functional Connectivity in Adult Dyslexics Using Phase Lag Index and Graph Analysis.Gorka Fraga González, Dirk J. A. Smit, Melle J. W. van der Molen, Jurgen Tijms, Cornelis Jan Stam, Eco J. C. de Geus & Maurits W. van der Molen - 2018 - Frontiers in Human Neuroscience 12.
  35.  16
    EEG and Eye Tracking Demonstrate Vigilance Enhancement with Challenge Integration.Indu P. Bodala, Junhua Li, Nitish V. Thakor & Hasan Al-Nashash - 2016 - Frontiers in Human Neuroscience 10.
  36.  21
    The EEG as Confirmatory Evidence of Brain Death: Previous and Current Approaches.Robert J. Wilkus - 1980 - Journal of Medical Humanities 2 (1):39-45.
    The role of EEG in confirming the clinical diagnosis of isolated brain death has undergone evolutionary changes since the original recommendations concerning its use. Accumulated evidence now supports that approach that the EEG can be used not only as a confirmatory test for brain death, but one which considerably facilitates making the diagnosis. Using the EEG, brain death can often be identified with absolute certainty within just a few, rather than the previously recommended 24 or more hours after a known (...)
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  37.  83
    Timing in Cognition and EEG Brain Dynamics: Discreteness Versus Continuity.Andrew A. Fingelkurts & Alexander A. Fingelkurts - 2006 - Cognitive Processing 7 (3):135-162.
    This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, with an emphasis on the framework of Operational Architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts, 2001, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, based (...)
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  38.  35
    A Pervasive Approach to EEG-Based Depression Detection.Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen & Jürg Gutknecht - 2018 - Complexity 2018:1-13.
    Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential. In the present study, a psychophysiological database, containing 213 subjects, was constructed. The electroencephalogram signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe three-electrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the Kalman (...)
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  39.  4
    EEG Can Track the Time Course of Successful Reference Resolution in Small Visual Worlds.Christian Brodbeck, Laura Gwilliams & Liina Pylkkänen - 2015 - Frontiers in Psychology 6:1787.
    Previous research has shown that language comprehenders resolve reference quickly and incrementally, but not much is known about the neural processes and representations that are involved. Studies of visual short-term memory suggest that access to the representation of an item from a previously seen display is associated with a negative evoked potential at posterior electrodes contralateral to the spatial location of that item in the display. In this paper we demonstrate that resolving the reference of a noun phrase in a (...)
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  40. Improved Classification Performance of EEG-fNIRS Multimodal Brain-Computer Interface Based on Multi-Domain Features and Multi-Level Progressive Learning.Lina Qiu, Yongshi Zhong, Zhipeng He & Jiahui Pan - 2022 - Frontiers in Human Neuroscience 16.
    Electroencephalography and functional near-infrared spectroscopy have potentially complementary characteristics that reflect the electrical and hemodynamic characteristics of neural responses, so EEG-fNIRS-based hybrid brain-computer interface is the research hotspots in recent years. However, current studies lack a comprehensive systematic approach to properly fuse EEG and fNIRS data and exploit their complementary potential, which is critical for improving BCI performance. To address this issue, this study proposes a novel multimodal fusion framework based on multi-level progressive learning with multi-domain features. The framework consists (...)
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  41. Resting and TMS-EEG Markers of Treatment Response in Major Depressive Disorder: A Systematic Review.Rebecca Strafella, Robert Chen, Tarek K. Rajji, Daniel M. Blumberger & Daphne Voineskos - 2022 - Frontiers in Human Neuroscience 16.
    Electroencephalography is a non-invasive method to identify markers of treatment response in major depressive disorder. In this review, existing literature was assessed to determine how EEG markers change with different modalities of MDD treatments, and to synthesize the breadth of EEG markers used in conjunction with MDD treatments. PubMed and EMBASE were searched from 2000 to 2021 for studies reporting resting EEG and transcranial magnetic stimulation combined with EEG measures in patients undergoing MDD treatments. The search yielded 966 articles, 204 (...)
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  42. Eeg Effects of Midazolam in Surgical Patients Under Epidural Anesthesia.Karel Kuizenga & Pim J. Hennis - 1993 - In P. S. Sebel, B. Bonke & E. Winograd (eds.), Memory and Awareness in Anesthesia. Prentice-Hall. pp. 296.
     
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  43.  16
    Sensorimotor EEG Rhythms and Their Connection to Local/Global Neocortical Dynamic Theory.Colin Andrew - 2000 - Behavioral and Brain Sciences 23 (3):399-400.
    The EEG activity recorded from the human sensorimotor cortical area exhibits rhythmic activity covering a broad range of frequencies, including alpha, mu, beta, and gamma (40-Hz) rhythms. This commentary elaborates on connections between these sensorimotor rhythms and Nunez's neocortical dynamic theory.
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  44.  46
    The Value of Spontaneous EEG Oscillations in Distinguishing Patients in Vegetative and Minimally Conscious States.Andrew And Alexander Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2013 - In Eror Basar & et all (eds.), Application of Brain Oscillations in Neuropsychiatric Diseases. Supplements to Clinical Neurophysiology. Elsevier. pp. 81-99.
    Objective: The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states was studied. Methods: We quantified dynamic repertoire of EEG oscillations in resting condition with closed eyes in patients in vegetative and minimally conscious states (VS and MCS). The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns. Results: The probability of delta, theta and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only (...)
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  45.  31
    Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions.Sangtae Ahn & Sung C. Jun - 2017 - Frontiers in Human Neuroscience 11.
    Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modality’s drawbacks and yield reliable results by extracting complementary features. In particular, integration of electroencephalography and functional near-infrared spectroscopy is cost-effective and portable, and therefore is a fascinating approach to brain-computer interface. However, outcomes from the integration of these two modalities have yielded only modest improvement in BCI performance because of the lack of approaches to integrate the two different features. In addition, mismatch (...)
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  46.  18
    Mapping Complex Mind States: EEG Neural Substrates of Meditative Unified Compassionate Awareness.Poppy L. A. Schoenberg, Andrea Ruf, John Churchill, Daniel P. Brown & Judson A. Brewer - 2018 - Consciousness and Cognition 57:41-53.
  47.  15
    Intracranial EEG Power Spectra and Phase Synchrony During Consciousness and Unconsciousness.Susan Pockett & Mark D. Holmes - 2009 - Consciousness and Cognition 18 (4):1049-1055.
    Power density spectra and phase synchrony measurements were taken from intracranial electrode grids implanted in epileptic subjects. Comparisons were made between data from the waking state and from the period of unconsciousness immediately following a generalised tonic–clonic seizure. Power spectra in the waking state resembled coloured noise. Power spectra in the unconscious state resembled coloured noise from 1 to about 5 Hz, but at higher frequencies changed in two out of three subjects to resemble white noise. This boosted unconscious gamma (...)
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  48. EEG-Based Spectral Analysis Showing Brainwave Changes Related to Modulating Progressive Fatigue During a Prolonged Intermittent Motor Task.Easter S. Suviseshamuthu, Vikram Shenoy Handiru, Didier Allexandre, Armand Hoxha, Soha Saleh & Guang H. Yue - 2022 - Frontiers in Human Neuroscience 16.
    Repeatedly performing a submaximal motor task for a prolonged period of time leads to muscle fatigue comprising a central and peripheral component, which demands a gradually increasing effort. However, the brain contribution to the enhancement of effort to cope with progressing fatigue lacks a complete understanding. The intermittent motor tasks closely resemble many activities of daily living, thus remaining physiologically relevant to study fatigue. The scope of this study is therefore to investigate the EEG-based brain activation patterns in healthy subjects (...)
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  49.  92
    Psychophysics of EEG Alpha State Discrimination.Jon A. Frederick - 2012 - Consciousness and Cognition 21 (3):1345-1354.
    Nearly all research in neurofeedback since the 1960s has focused on training voluntary control over EEG constructs. By contrast, EEG state discrimination training focuses on awareness of subjective correlates of EEG states. This study presents the first successful replication of EEG alpha state discrimination first reported by Kamiya . A 150-s baseline was recorded in 106 participants. During the task, low triggered a prompt. Participants indicated “high” or “low” with a keypress response and received immediate feedback. Seventy-five percent of participants (...)
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  50. EEG Delta/Theta Ratio and Microstate Analysis Originating Novel Biomarkers for Malnutrition-Inflammation Complex Syndrome in ESRD Patients.Tirapoot Jatupornpoonsub, Paramat Thimachai, Ouppatham Supasyndh & Yodchanan Wongsawat - 2022 - Frontiers in Human Neuroscience 15.
    The Malnutrition-Inflammation Score was initially proposed to evaluate malnutrition-inflammation complex syndrome in end-stage renal disease patients. Although MICS should be routinely evaluated to reduce the hospitalization and mortality rate of ESRD patients, the inconvenience of the MIS might limit its use. Cerebral complications in ESRD, possibly induced by MICS, were previously assessed by using spectral electroencephalography via the delta/theta ratio and microstate analysis. Correspondingly, EEG could be used to directly assess MICS in ESRD patients, but the relationships among MICS and (...)
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