Integration of Simultaneous Resting-State EEG, fMRI, and Eye Tracker Methods to Determine and Verify EEG Vigilance Measure.
暂无分享,去创建一个
Hazem Refai | Qingfei Luo | Jerzy Bodurka | Martin P. Paulus | Jennifer L. Stewart | Masaya Misaki | Vadim Zotev | Raquel Phillips | Stefan Fischer | Obada Al Zoubi | Ahmad Mayeli | Marcus Goetz | M. Paulus | J. Bodurka | J. Stewart | M. Misaki | Q. Luo | V. Zotev | Raquel Phillips | Ahmad Mayeli | H. Refai | O. A. Zoubi | S. Fischer | M. Goetz | A. Mayeli
[1] A. Belyavin,et al. Changes in electrical activity of the brain with vigilance. , 1987, Electroencephalography and clinical neurophysiology.
[2] Gregor Leicht,et al. EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement , 2009, NeuroImage.
[3] Stefan M. Wierda,et al. Pupil dilation deconvolution reveals the dynamics of attention at high temporal resolution , 2012, Proceedings of the National Academy of Sciences.
[4] Jaques Reifman,et al. An increase in sleep slow waves predicts better working memory performance in healthy individuals , 2019, NeuroImage.
[5] R. Barry,et al. EEG differences between eyes-closed and eyes-open resting conditions , 2007, Clinical Neurophysiology.
[6] R. O’Connell,et al. Pupil diameter covaries with BOLD activity in human locus coeruleus , 2014, Human brain mapping.
[7] A. Chesson,et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology, and Techinical Specifications , 2007 .
[8] Chandrasekharan Kesavadas,et al. Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks , 2017, The neuroradiology journal.
[9] Christoph Mulert,et al. EEG-vigilance differences between patients with borderline personality disorder, patients with obsessive-compulsive disorder and healthy controls , 2008, European Archives of Psychiatry and Clinical Neuroscience.
[10] Christian Sander,et al. Assessment of Wakefulness and Brain Arousal Regulation in Psychiatric Research , 2016, Neuropsychobiology.
[11] D. Mascali,et al. Brain Networks Underlying Eye’s Pupil Dynamics , 2019, Front. Neurosci..
[12] Omer Tal,et al. The amplitude of the resting state fMRI global signal is related to EEG vigilance measures , 2013 .
[13] Hazem Refai,et al. Real-time EEG artifact correction during fMRI using ICA , 2016, Journal of Neuroscience Methods.
[14] M. Fukunaga,et al. Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG‐fMRI study , 2008, Human brain mapping.
[15] Han Yuan,et al. Correlated slow fluctuations in respiration, EEG, and BOLD fMRI , 2013, NeuroImage.
[16] Laura Leuchs,et al. Spontaneous pupil dilations during the resting state are associated with activation of the salience network , 2016, NeuroImage.
[17] Danny J. J. Wang,et al. Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states , 2015, NeuroImage.
[18] H. Laufs,et al. EEG-correlated fMRI of human alpha (de-)synchronization , 2019, Clinical Neurophysiology.
[19] M. Fox,et al. Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .
[20] Catie Chang,et al. Template-based prediction of vigilance fluctuations in resting-state fMRI , 2017, NeuroImage.
[21] Rafael Malach,et al. Coupling between pupil fluctuations and resting-state fMRI uncovers a slow build-up of antagonistic responses in the human cortex , 2015, NeuroImage.
[22] Vivek Prabhakaran,et al. The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated , 2013, NeuroImage.
[23] J. McLaren,et al. Computerized analysis of pupillograms in studies of alertness. , 1992, Investigative ophthalmology & visual science.
[24] Michael W. L. Chee,et al. Sleep deprivation reduces default mode network connectivity and anti-correlation during rest and task performance , 2012, NeuroImage.
[25] M. Posner. Measuring Alertness , 2008, Annals of the New York Academy of Sciences.
[26] B. Oken,et al. Vigilance, alertness, or sustained attention: physiological basis and measurement , 2006, Clinical Neurophysiology.
[27] M. Loeb,et al. The Psychology of Vigilance , 1982 .
[28] Paul A. Taylor,et al. FMRI Clustering in AFNI: False-Positive Rates Redux , 2017, Brain Connect..
[29] Robert Turner,et al. A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI , 2000, NeuroImage.
[30] J. Shimony,et al. Resting-State fMRI: A Review of Methods and Clinical Applications , 2013, American Journal of Neuroradiology.
[31] Geraldine B. Boylan,et al. NEURAL: quantitative features for newborn EEG using Matlab , 2017, 1704.05694.
[32] P. Boesiger,et al. SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.
[33] Rami K. Niazy,et al. Removal of FMRI environment artifacts from EEG data using optimal basis sets , 2005, NeuroImage.
[34] G H Glover,et al. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.
[35] A. Kleinschmidt,et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[36] John J. Foxe,et al. Assessing the effects of caffeine and theanine on the maintenance of vigilance during a sustained attention task , 2012, Neuropharmacology.
[37] Peter A. Bandettini,et al. The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration , 2008, NeuroImage.
[38] Yong He,et al. Functional connectivity between the thalamus and visual cortex under eyes closed and eyes open conditions: A resting‐state fMRI study , 2009, Human brain mapping.
[39] I. E. Loewenfeld,et al. Pupillary Movements During Acute and Chronic Fatigue A New Test for the Objective Evaluation of Tiredness , 1963 .
[40] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[41] A. Kleinschmidt,et al. Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study , 2010, The Journal of Neuroscience.
[42] Louis Lemieux,et al. Identification of EEG Events in the MR Scanner: The Problem of Pulse Artifact and a Method for Its Subtraction , 1998, NeuroImage.
[43] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[44] J. Born,et al. Blindfolding during wakefulness causes decrease in sleep slow wave activity , 2017, Physiological reports.
[45] Mark S. Gilzenrat,et al. Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function , 2010, Cognitive, affective & behavioral neuroscience.
[46] S. Makeig,et al. Lapses in alertness: coherence of fluctuations in performance and EEG spectrum. , 1993, Electroencephalography and clinical neurophysiology.
[47] David B Henson,et al. Monitoring vigilance during perimetry by using pupillography. , 2010, Investigative ophthalmology & visual science.
[48] M. Schölvinck,et al. Tracking brain arousal fluctuations with fMRI , 2016, Proceedings of the National Academy of Sciences.
[49] K. Mogg,et al. Selective attention to threat: A test of two cognitive models of anxiety , 2000 .
[50] Y. Zang,et al. Detecting Static and Dynamic Differences between Eyes-Closed and Eyes-Open Resting States Using ASL and BOLD fMRI , 2015, PloS one.
[51] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.