University of Dundee Trial-by-trial covariation of pre-stimulus EEG alpha power and visuospatial bias reflects a mixture of stochastic and deterministic effects
暂无分享,去创建一个
J. Gross | G. Thut | C. Keitel | C. Benwell | M. Harvey
[1] M. H. Quenouille. Approximate Tests of Correlation in Time‐Series , 1949 .
[2] K. Heilman,et al. Pseudoneglect: Effects of hemispace on a tactile line bisection task , 1980, Neuropsychologia.
[3] W. Parr. Jackknifing Differentiable Statistical Functionals , 1985 .
[4] D. A. Kenny,et al. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.
[5] F. Perrin,et al. Spherical splines for scalp potential and current density mapping. , 1989, Electroencephalography and clinical neurophysiology.
[6] A. Milner,et al. To halve and to halve not: An analysis of line bisection judgements in normal subjects , 1992, Neuropsychologia.
[7] A. Milner,et al. An Investigation of Hemispatial Neglect Using the Landmark Task , 1995, Brain and Cognition.
[8] A. Wirz-Justice,et al. Power density in theta/alpha frequencies of the waking EEG progressively increases during sustained wakefulness. , 1995, Sleep.
[9] T. Jung,et al. Changes in alertness are a principal component of variance in the EEG spectrum , 1995, Neuroreport.
[10] M. McCourt,et al. Cognitive and perceptual influences on visual line bisection: Psychophysical and chronometric analyses of pseudoneglect , 1997, Neuropsychologia.
[11] K. Zilles,et al. Line bisection judgments implicate right parietal cortex and cerebellum as assessed by fMRI , 2000, Neurology.
[12] M. McCourt,et al. Pseudoneglect: a review and meta-analysis of performance factors in line bisection tasks , 2000, Neuropsychologia.
[13] G. V. Simpson,et al. Anticipatory Biasing of Visuospatial Attention Indexed by Retinotopically Specific α-Bank Electroencephalography Increases over Occipital Cortex , 2000, The Journal of Neuroscience.
[14] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[15] W. Singer,et al. Dynamic predictions: Oscillations and synchrony in top–down processing , 2001, Nature Reviews Neuroscience.
[16] K. Willmes,et al. On the Functional Neuroanatomy of Intrinsic and Phasic Alertness , 2001, NeuroImage.
[17] I.. THE ATTENTION SYSTEM OF THE HUMAN BRAIN , 2002 .
[18] Daniel C. Javitt,et al. Right hemisphere control of visuospatial attention: line-bisection judgments evaluated with high-density electrical mapping and source analysis☆ , 2003, NeuroImage.
[19] D. A. Kenny,et al. Lower Level Mediation in Multilevel Models , 2022 .
[20] Andreas Kleinschmidt,et al. EEG-correlated fMRI of human alpha activity , 2003, NeuroImage.
[21] A. Milner,et al. A Revised Method for Analysing Neglect using the Landmark Task , 2004, Cortex.
[22] 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.
[23] T. Ergenoğlu,et al. Alpha rhythm of the EEG modulates visual detection performance in humans. , 2004, Brain research. Cognitive brain research.
[24] H. Gibbons,et al. The application of jackknife-based onset detection of lateralized readiness potential in correlative approaches. , 2004, Psychophysiology.
[25] K. Linkenkaer-Hansen,et al. Prestimulus Oscillations Enhance Psychophysical Performance in Humans , 2004, The Journal of Neuroscience.
[26] Manuel Schabus,et al. A shift of visual spatial attention is selectively associated with human EEG alpha activity , 2005, The European journal of neuroscience.
[27] C. Dodds,et al. Rightward shift in spatial awareness with declining alertness , 2005, Neuropsychologia.
[28] Denis Cousineau,et al. Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method , 2005 .
[29] V. Candas,et al. Time-on-task effect in pseudoneglect , 2006, Experimental Brain Research.
[30] K. Willmes,et al. The effect of low arousal on visuo-spatial attention , 2006, Neuropsychologia.
[31] Á. Pascual-Leone,et al. α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection , 2006, The Journal of Neuroscience.
[32] John J. Foxe,et al. Increases in alpha oscillatory power reflect an active retinotopic mechanism for distracter suppression during sustained visuospatial attention. , 2006, Journal of neurophysiology.
[33] G. Thut,et al. Mechanisms of selective inhibition in visual spatial attention are indexed by α‐band EEG synchronization , 2007, The European journal of neuroscience.
[34] J. Palva,et al. New vistas for alpha-frequency band oscillations. , 2007, Trends in neurosciences.
[35] R. Oostenveld,et al. Nonparametric statistical testing of EEG- and MEG-data , 2007, Journal of Neuroscience Methods.
[36] J. Schoffelen,et al. Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability , 2008, The Journal of Neuroscience.
[37] J. Palva,et al. Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans , 2008, The Journal of Neuroscience.
[38] Á. Pascual-Leone,et al. Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. , 2008, Cerebral cortex.
[39] John J. Foxe,et al. The strength of anticipatory spatial biasing predicts target discrimination at attended locations: a high‐density EEG study , 2009, The European journal of neuroscience.
[40] Philipp Berens,et al. CircStat: AMATLABToolbox for Circular Statistics , 2009, Journal of Statistical Software.
[41] C. Tallon-Baudry,et al. How Ongoing Fluctuations in Human Visual Cortex Predict Perceptual Awareness: Baseline Shift versus Decision Bias , 2009, The Journal of Neuroscience.
[42] Diane M. Beck,et al. To See or Not to See: Prestimulus α Phase Predicts Visual Awareness , 2009, The Journal of Neuroscience.
[43] R. VanRullen,et al. The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.
[44] Paul Sajda,et al. Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG , 2009, Proceedings of the National Academy of Sciences.
[45] M. Corbetta,et al. Frontoparietal Cortex Controls Spatial Attention through Modulation of Anticipatory Alpha Rhythms , 2009, The Journal of Neuroscience.
[46] Brent L. Hughes,et al. Neural mechanisms of emotion regulation: Evidence for two independent prefrontal-subcortical pathways , 2009 .
[47] Yan Zhang,et al. Detection of a Weak Somatosensory Stimulus: Role of the Prestimulus Mu Rhythm and Its Top–Down Modulation , 2010, Journal of Cognitive Neuroscience.
[48] 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.
[49] J. Gross,et al. On the Role of Prestimulus Alpha Rhythms over Occipito-Parietal Areas in Visual Input Regulation: Correlation or Causation? , 2010, The Journal of Neuroscience.
[50] O. Jensen,et al. Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition , 2010, Front. Hum. Neurosci..
[51] R. VanRullen,et al. Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.
[52] Ingo Fründ,et al. Inference for psychometric functions in the presence of nonstationary behavior. , 2011, Journal of vision.
[53] R. VanRullen,et al. Ongoing EEG Phase as a Trial-by-Trial Predictor of Perceptual and Attentional Variability , 2011, Front. Psychology.
[54] Diane M. Beck,et al. Pulsed Out of Awareness: EEG Alpha Oscillations Represent a Pulsed-Inhibition of Ongoing Cortical Processing , 2011, Front. Psychology.
[55] A. Nobre,et al. Indexing the graded allocation of visuospatial attention using anticipatory alpha oscillations , 2011, Journal of neurophysiology.
[56] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[57] John J. Foxe,et al. The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention , 2011, Front. Psychology.
[58] M. Corbetta,et al. Spatial neglect and attention networks. , 2011, Annual review of neuroscience.
[59] Mingzhou Ding,et al. From Prestimulus Alpha Oscillation to Visual-evoked Response: An Inverted-U Function and Its Attentional Modulation , 2011, Journal of Cognitive Neuroscience.
[60] P. Schyns,et al. Cracking the Code of Oscillatory Activity , 2011, PLoS biology.
[61] R. Romo,et al. α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking , 2011, Proceedings of the National Academy of Sciences.
[62] John J. Foxe,et al. Ready, Set, Reset: Stimulus-Locked Periodicity in Behavioral Performance Demonstrates the Consequences of Cross-Sensory Phase Reset , 2011, The Journal of Neuroscience.
[63] Michael X. Cohen,et al. Single-Trial Regression Elucidates the Role of Prefrontal Theta Oscillations in Response Conflict , 2011, Front. Psychology.
[64] M. Catani,et al. A lateralized brain network for visuospatial attention , 2011, Nature Neuroscience.
[65] G. Rousselet,et al. Single-Trial Analyses: Why Bother? , 2011, Front. Psychology.
[66] G. Thut,et al. Stimulus- and state-dependence of systematic bias in spatial attention: Additive effects of stimulus-size and time-on-task , 2012 .
[67] C. Miniussi,et al. The Functional Importance of Rhythmic Activity in the Brain , 2012, Current Biology.
[68] Geraint Rees,et al. Better Ways to Improve Standards in Brain-Behavior Correlation Analysis , 2012, Front. Hum. Neurosci..
[69] M. Posner,et al. The attention system of the human brain: 20 years after. , 2012, Annual review of neuroscience.
[70] W. Klimesch. Alpha-band oscillations, attention, and controlled access to stored information , 2012, Trends in Cognitive Sciences.
[71] A. Craig,et al. Regional brain wave activity changes associated with fatigue. , 2012, Psychophysiology.
[72] J. Lange,et al. Fluctuations of prestimulus oscillatory power predict subjective perception of tactile simultaneity. , 2012, Cerebral cortex.
[73] Michael X. Cohen,et al. Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior. , 2013, Journal of neurophysiology.
[74] H. Lau,et al. Prestimulus Oscillatory Activity over Motor Cortex Reflects Perceptual Expectations , 2013, The Journal of Neuroscience.
[75] Manuel R. Mercier,et al. Cortical cross-frequency coupling predicts perceptual outcomes , 2013, NeuroImage.
[76] S. Kastner,et al. Shifting Attentional Priorities: Control of Spatial Attention through Hemispheric Competition , 2013, The Journal of Neuroscience.
[77] R. Oostenveld,et al. Reduced Occipital Alpha Power Indexes Enhanced Excitability Rather than Improved Visual Perception , 2013, The Journal of Neuroscience.
[78] Daniel P. Newman,et al. Linking time-on-task, spatial bias and hemispheric activation asymmetry: A neural correlate of rightward attention drift , 2013, Neuropsychologia.
[79] S. Kelly,et al. Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain , 2013, The Journal of Neuroscience.
[80] Xiao Liu,et al. EEG correlates of time-varying BOLD functional connectivity , 2013, NeuroImage.
[81] G. Thut,et al. Spatial attention: Differential shifts in pseudoneglect direction with time-on-task and initial bias support the idea of observer subtypes , 2013, Neuropsychologia.
[82] Matthias M. Müller,et al. Early visual and auditory processing rely on modality-specific attentional resources , 2013, NeuroImage.
[83] G. Fink,et al. Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles , 2013 .
[84] G. Thut,et al. A rightward shift in the visuospatial attention vector with healthy aging , 2014, Front. Aging Neurosci..
[85] J. Schoffelen,et al. Dissociated α-band modulations in the dorsal and ventral visual pathways in visuospatial attention and perception. , 2014, Cerebral cortex.
[86] J. Schoffelen,et al. University of Birmingham Occipital alpha activity during stimulus processing gates the information flow to object-selective cortex , 2014 .
[87] Gregor Thut,et al. On the neural origin of pseudoneglect: EEG-correlates of shifts in line bisection performance with manipulation of line length☆ , 2014, NeuroImage.
[88] Lei Ai,et al. The phase of prestimulus alpha oscillations affects tactile perception. , 2014, Journal of neurophysiology.
[89] J. Gross. Analytical methods and experimental approaches for electrophysiological studies of brain oscillations , 2014, Journal of Neuroscience Methods.
[90] Maximilien Chaumon,et al. Prestimulus Neural Oscillations Inhibit Visual Perception via Modulation of Response Gain , 2014, Journal of Cognitive Neuroscience.
[91] Michael X. Cohen,et al. Attention and Temporal Expectations Modulate Power, Not Phase, of Ongoing Alpha Oscillations , 2015, Journal of Cognitive Neuroscience.
[92] Iain D. Gilchrist,et al. The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability , 2015, NeuroImage.
[93] C. Tenke,et al. Surface Laplacians (SL) and phase properties of EEG rhythms: Simulated generators in a volume-conduction model. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[94] Michael J. Morais,et al. Global network influences on local functional connectivity , 2015, Nature Neuroscience.
[95] Stella F. Lourenco,et al. Right hemisphere control of visuospatial attention in near space , 2015, Neuropsychologia.
[96] C. Miniussi,et al. Non-linear effects of transcranial direct current stimulation as a function of individual baseline performance: Evidence from biparietal tDCS influence on lateralized attention bias , 2015, Cortex.
[97] P. Veltink,et al. Observation of time-dependent psychophysical functions and accounting for threshold drifts , 2015, Attention, perception & psychophysics.
[98] Jürgen Kayser,et al. On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[99] Gerard M. Loughnane,et al. Behavioral and electrophysiological evidence of opposing lateral visuospatial asymmetries in the upper and lower visual fields , 2015, Cortex.
[100] T. Wager,et al. Distinct Brain Systems Mediate the Effects of Nociceptive Input and Self-Regulation on Pain , 2015, PLoS biology.
[101] Conrado A. Bosman,et al. A jackknife approach to quantifying single-trial correlation between covariance-based metrics undefined on a single-trial basis , 2015, NeuroImage.
[102] Christopher W. Pleydell-Pearce,et al. The phase of pre-stimulus alpha oscillations influences the visual perception of stimulus timing , 2016, NeuroImage.
[103] Daniel P. Newman,et al. Ocular exposure to blue-enriched light has an asymmetric influence on neural activity and spatial attention , 2016, Scientific Reports.
[104] Caspar M. Schwiedrzik,et al. Expecting to See a Letter: Alpha Oscillations as Carriers of Top-Down Sensory Predictions. , 2016, Cerebral cortex.
[105] J. Gross,et al. Individual Human Brain Areas Can Be Identified from Their Characteristic Spectral Activation Fingerprints , 2016, PLoS biology.
[106] Lee M. Miller,et al. The Role of Alpha Activity in Spatial and Feature-Based Attention , 2016, eNeuro.
[107] H.A. Slagter,et al. Facilitation and inhibition in attention: Functional dissociation of pre-stimulus alpha activity, P1, and N1 components , 2016, NeuroImage.
[108] T. Nef,et al. The asymmetrical influence of increasing time-on-task on attentional disengagement , 2016, Neuropsychologia.
[109] P. Corballis,et al. Prestimulus alpha power influences response criterion in a detection task. , 2016, Psychophysiology.
[110] R. VanRullen. How to evaluate phase differences between trial groups in ongoing electrophysiological signals , 2016, bioRxiv.
[111] W. El-Deredy,et al. Pre-stimulus alpha oscillations over somatosensory cortex predict tactile misperceptions , 2017, Neuropsychologia.
[112] Daniel P. Newman,et al. Visuospatial Asymmetries Arise from Differences in the Onset Time of Perceptual Evidence Accumulation , 2017, The Journal of Neuroscience.
[113] B. Postle,et al. Prestimulus alpha-band power biases visual discrimination confidence, but not accuracy , 2016, Consciousness and Cognition.
[114] F. Mast,et al. The Influence of Alertness on the Spatial Deployment of Visual Attention is Mediated by the Excitability of the Posterior Parietal Cortices , 2016, Cerebral cortex.
[115] G. Lupyan,et al. How prior knowledge prepares perception: Prestimulus oscillations carry perceptual expectations and influence early visual responses , 2016, bioRxiv.
[116] Gregor Thut,et al. Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation , 2017, NeuroImage.
[117] G. Thut,et al. Inconsistent Effects of Parietal α-tACS on Pseudoneglect across Two Experiments: A Failed Internal Replication , 2017, Front. Psychol..
[118] Sébastien M. Crouzet,et al. Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability. , 2017, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[119] Gregor Thut,et al. Age-related reduction of hemispheric lateralisation for spatial attention: An EEG study , 2017, NeuroImage.