Microsleeps are Associated with Stage-2 Sleep Spindles from Hippocampal-Temporal Network
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Govinda R. Poudel | Richard D. Jones | Yaqub Jonmohamadi | Carrie R. H. Innes | Richard D. Jones | G. Poudel | Y. Jonmohamadi
[1] A. van Oosterom,et al. Source parameter estimation in inhomogeneous volume conductors of arbitrary shape , 1989, IEEE Transactions on Biomedical Engineering.
[2] Maxime Bonjean,et al. Corticothalamic Feedback Controls Sleep Spindle Duration In Vivo , 2011, The Journal of Neuroscience.
[3] Se Robinson,et al. Functional neuroimaging by Synthetic Aperture Magnetometry (SAM) , 1999 .
[4] Terrence J. Sejnowski,et al. Blind separation and blind deconvolution: an information-theoretic approach , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[5] R D Pascual-Marqui,et al. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.
[6] 関原 謙介,et al. Adaptive Spatial Filters for Electromagnetic Brain Imaging , 2008 .
[7] Richard D. Jones,et al. Source-space ICA for MEG source imaging , 2016, Journal of neural engineering.
[8] R. Salmelin,et al. Global optimization in the localization of neuromagnetic sources , 1998, IEEE Transactions on Biomedical Engineering.
[9] B. T. Thomas Yeo,et al. Co-activated yet disconnected—Neural correlates of eye closures when trying to stay awake , 2015, NeuroImage.
[10] Manuel Schabus,et al. Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep , 2007, Proceedings of the National Academy of Sciences.
[11] E. Halgren,et al. Dynamic Statistical Parametric Mapping Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity , 2000, Neuron.
[12] J. Sarvas. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.
[13] Govinda R. Poudel,et al. Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps , 2016, NeuroImage.
[14] Michael Schrauf,et al. EEG alpha spindles and prolonged brake reaction times during auditory distraction in an on-road driving study. , 2014, Accident; analysis and prevention.
[15] Carrie R. H. Innes,et al. Losing the struggle to stay awake: Divergent thalamic and cortical activity during microsleeps , 2014, Human brain mapping.
[16] V. D. Calhoun,et al. Using joint ICA to link function and structure using MEG and DTI in schizophrenia , 2013, NeuroImage.
[17] S. Makeig,et al. Mining event-related brain dynamics , 2004, Trends in Cognitive Sciences.
[18] M. Czisch,et al. Sleep Spindles and Hippocampal Functional Connectivity in Human NREM Sleep , 2011, The Journal of Neuroscience.
[19] Govinda R. Poudel,et al. Comparison of beamformers for EEG source signal reconstruction , 2014, Biomed. Signal Process. Control..
[20] Vladyslav V. Vyazovskiy,et al. Theta activity in the waking EEG is a marker of sleep propensity in the rat , 2005, Brain Research.
[21] R. Ilmoniemi,et al. Interpreting magnetic fields of the brain: minimum norm estimates , 2006, Medical and Biological Engineering and Computing.
[22] J. Parvizi,et al. Functional MRI of sleep spindles and K-complexes , 2012, Clinical Neurophysiology.
[23] F. D. Silva,et al. Source localization of MEG sleep spindles and the relation to sources of alpha band rhythms , 2002, Clinical Neurophysiology.
[24] David Poeppel,et al. Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique , 2001, IEEE Transactions on Biomedical Engineering.
[25] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[26] R. Pascual-Marqui,et al. Detection of EEG-resting state independent networks by eLORETA-ICA method , 2015, Front. Hum. Neurosci..
[27] W. Drongelen,et al. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering , 1997, IEEE Transactions on Biomedical Engineering.
[28] Ioannis Kalatzis,et al. Independent Component Analysis for Source Localization of EEG Sleep Spindle Components , 2010, Comput. Intell. Neurosci..
[29] A. Destexhe,et al. Are corticothalamic ‘up’ states fragments of wakefulness? , 2007, Trends in Neurosciences.
[30] J. McLaren,et al. Computerized analysis of pupillograms in studies of alertness. , 1992, Investigative ophthalmology & visual science.
[31] M. Posner,et al. Cognitive and emotional influences in anterior cingulate cortex , 2000, Trends in Cognitive Sciences.
[32] S. Makeig,et al. Lapses in alertness: coherence of fluctuations in performance and EEG spectrum. , 1993, Electroencephalography and clinical neurophysiology.
[33] Andrea Pigorini,et al. Hippocampal sleep spindles preceding neocortical sleep onset in humans , 2014, NeuroImage.
[34] Mark W. Woolrich,et al. Inferring task-related networks using independent component analysis in magnetoencephalography , 2012, NeuroImage.
[35] R. Leahy,et al. Multiple Dipole Modeling and Localization from , 1992 .
[36] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[37] Jarek Krajewski,et al. A Measure of Strong Driver Fatigue , 2017 .
[38] L Torsvall,et al. Sleepiness in shiftwork. A review with emphasis on continuous monitoring of EEG and EOG. , 1987, Chronobiology international.
[39] P. R. Davidson,et al. Frequent lapses of responsiveness during an extended visuomotor tracking task in non‐sleep‐deprived subjects , 2006, Journal of sleep research.
[40] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[41] Carrie R. H. Innes,et al. Voxel-ICA for reconstruction of source signal time-series and orientation in EEG and MEG , 2014, Australasian Physical & Engineering Sciences in Medicine.
[42] Tianwei Shi,et al. Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction , 2015, Int. J. Neural Syst..
[43] Carrie R. H. Innes,et al. Efficient and Regular Patterns of Nighttime Sleep are Related to Increased Vulnerability to Microsleeps Following a Single Night of Sleep Restriction , 2013, Chronobiology international.
[44] Joel E. W. Koh,et al. Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection , 2015, European Neurology.
[45] Govinda R. Poudel,et al. Source-space ICA for EEG source separation, localization, and time-course reconstruction , 2014, NeuroImage.
[46] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[47] M Congedo,et al. Classification of movement intention by spatially filtered electromagnetic inverse solutions , 2006, Physics in medicine and biology.
[48] Hojjat Adeli,et al. Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection , 2008, IEEE Transactions on Biomedical Engineering.