A new foreperiod effect on single-trial phase coherence. Part I: existence and relevance

Expecting events in time leads to more efficient behavior. A remarkable early finding in the study of temporal expectancy is the foreperiod effect on reaction times; i.e., the fact that the time period between a warning signal and an impendent stimuli, to which subjects are instructed to respond as quickly as possible, influences reaction times. Recently it has been shown that the phase of oscillatory activity preceding stimulus presentation is related to behavior. Here we connect both of these findings by reporting a novel foreperiod effect on the inter-trial phase coherence triggered by a stimulus to which subjects do not respond. Until now, inter-trial phase coherence has been used to describe a regularity in the phases of groups of trials. We propose a single-trial measure of inter-trial phase coherence and prove its soundness. Equipped with this measure, and using a multivariate decoding method, we demonstrate that the foreperiod duration modulates single-trial phase coherence. In principle, this modulation could be an artifact due to the decoding method used to detect it. We show that this is not the case, since the modulation can also be observed with a very simple averaging method. Although real, the single-trial modulation of inter-trial phase coherence by the foreperiod duration could just reflect a nuisance in our data. We argue against this possibility by showing that the strength of the modulation correlates with subjects’ behavioral measures, both error rates and mean-reaction times. We anticipate that the new foreperiod effect on inter-trial phase coherence, and the decoding method used here to detect it, will be important tools to understand cognition at the single-trial level. In Part II of this manuscript, we support this claim, by showing that attention modulates the strength of the new foreperiod effect in a trial-by-trial basis.

[1]  W. McD. Grundzüge der physiologischen Psychologie , 1902, Nature.

[2]  S. Debener,et al.  Cross-Modal Phase Reset Predicts Auditory Task Performance in Humans , 2011, The Journal of Neuroscience.

[3]  Stephen J. Anderson,et al.  Elsevier Editorial System(tm) for Brain Research Manuscript Draft Response Letter Reviewer Number 1 Attentional Changes in Pre-stimulus Oscillatory Activity within Early Visual Cortex Are Predictive of Human Visual Performance , 2007 .

[4]  Marcelo Bussotti Reyes,et al.  Visual Causality Judgments Correlate with the Phase of Alpha Oscillations , 2015, Journal of Cognitive Neuroscience.

[5]  Ole Jensen,et al.  Gamma Activity Coupled to Alpha Phase as a Mechanism for Top-Down Controlled Gating , 2015, PloS one.

[6]  S. Makeig,et al.  A 40-Hz auditory potential recorded from the human scalp. , 1981, Proceedings of the National Academy of Sciences of the United States of America.

[7]  A. Nobre,et al.  Orienting attention in time: behavioural and neuroanatomical distinction between exogenous and endogenous shifts , 2000, Neuropsychologia.

[8]  A. Nobre,et al.  Endogenous modulation of low frequency oscillations by temporal expectations , 2011, Journal of neurophysiology.

[9]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[10]  John J. Foxe,et al.  Oscillatory Sensory Selection Mechanisms during Intersensory Attention to Rhythmic Auditory and Visual Inputs: A Human Electrocorticographic Investigation , 2011, The Journal of Neuroscience.

[11]  S. Hackley,et al.  Accessory Stimulus Effects on Response Selection: Does Arousal Speed Decision Making? , 1999, Journal of Cognitive Neuroscience.

[12]  P. Rossini,et al.  Neuromagnetic localization of the late component of the contingent negative variation. , 1996, Electroencephalography and clinical neurophysiology.

[13]  J. Palva,et al.  Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans , 2008, The Journal of Neuroscience.

[14]  Ankoor S. Shah,et al.  An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. , 2005, Journal of neurophysiology.

[15]  Floris P. de Lange,et al.  Local Entrainment of Alpha Oscillations by Visual Stimuli Causes Cyclic Modulation of Perception , 2014, The Journal of Neuroscience.

[16]  A. Gaillard Slow brain potentials preceding task performance , 1985, Biological Psychology.

[17]  M. Low,et al.  Surface‐negative, slow‐potential shift associated with conditioning in man , 1966, Neurology.

[18]  Barbara F. Händel,et al.  Cross-frequency coupling of brain oscillations indicates the success in visual motion discrimination , 2009, NeuroImage.

[19]  J. A. Bates,et al.  Electrical activity of the cortex accompanying movement , 1951, The Journal of physiology.

[20]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[21]  W. W. Muir,et al.  Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .

[22]  Richard Ragot,et al.  Relationship between CNV and timing of an upcoming event , 2005, Neuroscience Letters.

[23]  T. Sejnowski,et al.  Analysis and visualization of single‐trial event‐related potentials , 2001, Human brain mapping.

[24]  C. Schroeder,et al.  The Leading Sense: Supramodal Control of Neurophysiological Context by Attention , 2009, Neuron.

[25]  A. Nobre,et al.  Oscillatory Brain State Predicts Variability in Working Memory , 2014, The Journal of Neuroscience.

[26]  T. Sejnowski,et al.  Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention , 1999, The Journal of Neuroscience.

[27]  A. Nobre,et al.  Orienting attention in time. Modulation of brain potentials. , 1999, Brain : a journal of neurology.

[28]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[29]  G. Rousselet,et al.  Single-Trial Analyses: Why Bother? , 2011, Front. Psychology.

[30]  J C Mazziotta,et al.  Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward‐transform method , 1997, Human brain mapping.

[31]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[32]  C. Miniussi,et al.  The Functional Importance of Rhythmic Activity in the Brain , 2012, Current Biology.

[33]  Rufin VanRullen,et al.  On the cyclic nature of perception in vision versus audition , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[34]  E. John,et al.  Perceptual framing and cortical alpha rhythm , 1981, Neuropsychologia.

[35]  Juan Lupiáñez,et al.  The two sides of temporal orienting: facilitating perceptual selection, disrupting response selection. , 2010, Experimental psychology.

[36]  R Näätänen,et al.  The diminishing time-uncertainty with the lapse of time after the warning signal in reaction-time experiments with varying fore-periods. , 1970, Acta psychologica.

[37]  Joachim Gross,et al.  Phase-Locked Responses to Speech in Human Auditory Cortex are Enhanced During Comprehension , 2012, Cerebral cortex.

[38]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[39]  Arnaud Delorme,et al.  Grand average ERP-image plotting and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions , 2015, Journal of Neuroscience Methods.

[40]  W G Walter,et al.  The effects of attention and distraction on the contingent negative variation in normal and neurotic subjects. , 1968, Electroencephalography and clinical neurophysiology.

[41]  F. Varela,et al.  Measuring phase synchrony in brain signals , 1999, Human brain mapping.

[42]  Alejandro Lleras,et al.  Making Waves in the Stream of Consciousness: Entraining Oscillations in EEG Alpha and Fluctuations in Visual Awareness with Rhythmic Visual Stimulation , 2012, Journal of Cognitive Neuroscience.

[43]  A W Gaillard,et al.  The late CNV wave: preparation versus expectancy. , 1977, Psychophysiology.

[44]  C. M Gómez,et al.  Preparatory visuo-motor cortical network of the contingent negative variation estimated by current density , 2003, NeuroImage.

[45]  Carsten H. Wolters,et al.  Good vibrations: Oscillatory phase shapes perception , 2012, NeuroImage.

[46]  Manuel R. Mercier,et al.  Cortical cross-frequency coupling predicts perceptual outcomes , 2013, NeuroImage.

[47]  J. Mendel,et al.  ePPR: a new strategy for the characterization of sensory cells from input/output data , 2010, Network.

[48]  F. Tong,et al.  Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.

[49]  R. Näätänen,et al.  Foreperiod and simple reaction time. , 1981 .

[50]  E. Callaway,et al.  Relationship between Reaction Time and Electroencephalographic Alpha Phase , 1960, Science.

[51]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[52]  Terrence J. Sejnowski,et al.  Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis , 2007, NeuroImage.

[53]  Bettina Rolke,et al.  Temporal preparation facilitates perceptual identification of letters , 2008, Perception & psychophysics.

[54]  Rufin VanRullen,et al.  Selective Perceptual Phase Entrainment to Speech Rhythm in the Absence of Spectral Energy Fluctuations , 2015, The Journal of Neuroscience.

[55]  P. Schyns,et al.  Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain , 2013, PLoS biology.

[56]  B. Hangya,et al.  Phase Entrainment of Human Delta Oscillations Can Mediate the Effects of Expectation on Reaction Speed , 2010, The Journal of Neuroscience.

[57]  R. VanRullen,et al.  The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.

[58]  M. Crommelinck,et al.  Current Source Density Analysis of CNV During Temporal Gap Paradigm , 2004, Brain Topography.

[59]  C. Koch,et al.  Is perception discrete or continuous? , 2003, Trends in Cognitive Sciences.

[60]  Christoph Kayser,et al.  A Precluding But Not Ensuring Role of Entrained Low-Frequency Oscillations for Auditory Perception , 2012, The Journal of Neuroscience.

[61]  D. Kourtis,et al.  Neurophysiology of Implicit Timing in Serial Choice Reaction-Time Performance , 2006, The Journal of Neuroscience.

[62]  T. Hothorn,et al.  Multiple Comparisons Using R , 2010 .

[63]  J. Schoffelen,et al.  University of Birmingham Occipital alpha activity during stimulus processing gates the information flow to object-selective cortex , 2014 .

[64]  R. Lansing,et al.  Relation of brain and tremor rhythms to visual reaction time. , 1957, Electroencephalography and clinical neurophysiology.

[65]  Charles E. Schroeder,et al.  Dual Mechanism of Neuronal Ensemble Inhibition in Primary Auditory Cortex , 2011, Neuron.

[66]  Jack L. Gallant,et al.  Encoding and decoding in fMRI , 2011, NeuroImage.

[67]  Robin A. A. Ince,et al.  Frontal Top-Down Signals Increase Coupling of Auditory Low-Frequency Oscillations to Continuous Speech in Human Listeners , 2015, Current Biology.

[68]  Peter Membrey,et al.  The Linux Kernel , 2009 .

[69]  Diane M. Beck,et al.  To See or Not to See: Prestimulus α Phase Predicts Visual Awareness , 2009, The Journal of Neuroscience.

[70]  P. Suñé,et al.  Positive Outcomes Influence the Rate and Time to Publication, but Not the Impact Factor of Publications of Clinical Trial Results , 2013, PloS one.

[71]  K. Lange Brain correlates of early auditory processing are attenuated by expectations for time and pitch , 2009, Brain and Cognition.

[72]  T. Sejnowski,et al.  Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.

[73]  David Poeppel,et al.  A mutual information analysis of neural coding of speech by low-frequency MEG phase information. , 2011, Journal of neurophysiology.

[74]  J. Gross,et al.  Sounds Reset Rhythms of Visual Cortex and Corresponding Human Visual Perception , 2012, Current Biology.

[75]  D M Rice,et al.  Some Evidence in Support of a Relationship between Human Auditory Signal-Detection Performance and the Phase of the Alpha Cycle , 1989, Perceptual and motor skills.

[76]  V. Menon,et al.  Decoding temporal structure in music and speech relies on shared brain resources but elicits different fine-scale spatial patterns. , 2011, Cerebral cortex.

[77]  S. S. Young,et al.  Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .

[78]  D. Poeppel,et al.  Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a “Cocktail Party” , 2013, Neuron.

[79]  David Poeppel,et al.  Acoustic landmarks drive delta–theta oscillations to enable speech comprehension by facilitating perceptual parsing , 2014, NeuroImage.

[80]  Michael S. Pratte,et al.  Decoding patterns of human brain activity. , 2012, Annual review of psychology.

[81]  G. Karmos,et al.  Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection , 2008, Science.

[82]  N. Hatsopoulos,et al.  Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues , 2010, Neuron.

[83]  M. Westerfield,et al.  Modality-specificity of sensory aging in vision and audition: Evidence from event-related potentials , 2008, Brain Research.

[84]  J. Botwinick,et al.  An analysis of set in relation to reaction time. , 1962, Journal of experimental psychology.

[85]  Franck Vidal,et al.  The CNV peak: an index of decision making and temporal memory. , 2003, Psychophysiology.

[86]  Pascal Fries,et al.  A Microsaccadic Rhythm Modulates Gamma-Band Synchronization and Behavior , 2009, The Journal of Neuroscience.

[87]  Elie Bienenstock,et al.  Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.

[88]  F. Vidal,et al.  Functional Anatomy of the Attentional Modulation of Time Estimation , 2004, Science.

[89]  Luc H. Arnal,et al.  Asymmetric Function of Theta and Gamma Activity in Syllable Processing: An Intra-Cortical Study , 2012, Front. Psychology.

[90]  Rand Wilcox Chapter 10 – Robust Regression , 2012 .

[91]  R. Bellman,et al.  V. Adaptive Control Processes , 1964 .

[92]  G. H. Bishop,et al.  CYCLIC CHANGES IN EXCITABILITY OF THE OPTIC PATHWAY OF THE RABBIT , 1932 .

[93]  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.

[94]  Tzyy-Ping Jung,et al.  Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.

[95]  L W JARCHO,et al.  Excitability of cortical afferent systems during barbiturate anesthesia. , 1949, Journal of neurophysiology.

[96]  H. Woodrow The measurement of attention , 1914 .

[97]  David Poeppel,et al.  Cortical oscillations and speech processing: emerging computational principles and operations , 2012, Nature Neuroscience.

[98]  M. Corbetta,et al.  Frontoparietal Cortex Controls Spatial Attention through Modulation of Anticipatory Alpha Rhythms , 2009, The Journal of Neuroscience.

[99]  Peter Dalgaard,et al.  R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .

[100]  Kanti V. Mardia,et al.  Statistics of Directional Data , 1972 .

[101]  Andries F. Sanders,et al.  Elements of Human Performance: Reaction Processes and Attention in Human Skill , 1998 .

[102]  Anina N. Rich,et al.  What happens during search for rare targets? Eye movements in low prevalence visual search , 2010 .

[103]  Niels Birbaumer,et al.  Cross-frequency phase synchronization: A brain mechanism of memory matching and attention , 2008, NeuroImage.

[104]  A. Nobre,et al.  Where and When to Pay Attention: The Neural Systems for Directing Attention to Spatial Locations and to Time Intervals as Revealed by Both PET and fMRI , 1998, The Journal of Neuroscience.

[105]  Tony Ro,et al.  Dynamics of Alpha Control: Preparatory Suppression of Posterior Alpha Oscillations by Frontal Modulators Revealed with Combined EEG and Event-related Optical Signal , 2014, Journal of Cognitive Neuroscience.

[106]  Rufin VanRullen,et al.  The phase of ongoing EEG oscillations predicts the amplitude of peri-saccadic mislocalization , 2016, Scientific Reports.

[107]  S. Dehaene,et al.  Unconscious Masked Priming Depends on Temporal Attention , 2002, Psychological science.

[108]  A. Nobre,et al.  Temporal Expectation Enhances Contrast Sensitivity by Phase Entrainment of Low-Frequency Oscillations in Visual Cortex , 2013, The Journal of Neuroscience.

[109]  R. Chiaramonti,et al.  The effects on auditory neurocognitive evoked responses and contingent negative variation activity of frontal cortex lesions or ablations in man: three new case studies. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[110]  David Poeppel,et al.  Physiological evidence for auditory modulation filterbanks: cortical responses to concurrent modulations. , 2013, The Journal of the Acoustical Society of America.

[111]  Michael X. Cohen,et al.  Attention and Temporal Expectations Modulate Power, Not Phase, of Ongoing Alpha Oscillations , 2015, Journal of Cognitive Neuroscience.

[112]  S. Grondin,et al.  From physical time to the first and second moments of psychological time. , 2001, Psychological bulletin.

[113]  C. Brunia,et al.  Wait and see. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[114]  N. Metropolis,et al.  The Monte Carlo method. , 1949 .

[115]  Tom Michael Mitchell,et al.  Predicting Human Brain Activity Associated with the Meanings of Nouns , 2008, Science.

[116]  Benedikt Zoefel,et al.  EEG oscillations entrain their phase to high-level features of speech sound , 2016, NeuroImage.

[117]  J. Obleser,et al.  Frequency modulation entrains slow neural oscillations and optimizes human listening behavior , 2012, Proceedings of the National Academy of Sciences.

[118]  S. Makeig,et al.  Mining event-related brain dynamics , 2004, Trends in Cognitive Sciences.

[119]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[120]  David C. Hoaglin,et al.  Some Implementations of the Boxplot , 1989 .

[121]  Geoffrey M Boynton,et al.  The Representation of Behavioral Choice for Motion in Human Visual Cortex , 2007, The Journal of Neuroscience.

[122]  E Ahissar,et al.  Speech comprehension is correlated with temporal response patterns recorded from auditory cortex , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[123]  D. Regan Some characteristics of average steady-state and transient responses evoked by modulated light. , 1966, Electroencephalography and clinical neurophysiology.

[124]  R. VanRullen,et al.  This Is the Rhythm of Your Eyes: The Phase of Ongoing Electroencephalogram Oscillations Modulates Saccadic Reaction Time , 2011, The Journal of Neuroscience.

[125]  Antonino Vallesi,et al.  When Time Shapes Behavior: fMRI Evidence of Brain Correlates of Temporal Monitoring , 2009, Journal of Cognitive Neuroscience.

[126]  Ángel Correa,et al.  Enhancing behavioural performance by visual temporal orienting , 2010 .

[127]  Gregory Hickok,et al.  The Rhythm of Perception , 2015, Psychological science.

[128]  Michela Sarlo,et al.  Automatic Temporal Expectancy: A High-Density Event-Related Potential Study , 2013, PloS one.

[129]  C. Schroeder,et al.  Tuning of the Human Neocortex to the Temporal Dynamics of Attended Events , 2011, The Journal of Neuroscience.

[130]  S. Dalal,et al.  Prestimulus Oscillatory Phase at 7 Hz Gates Cortical Information Flow and Visual Perception , 2013, Current Biology.

[131]  B. Ross,et al.  Internalized Timing of Isochronous Sounds Is Represented in Neuromagnetic Beta Oscillations , 2012, The Journal of Neuroscience.

[132]  David A. Belsley,et al.  Regression Analysis and its Application: A Data-Oriented Approach.@@@Applied Linear Regression.@@@Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1981 .

[133]  Jaime Gómez Gil,et al.  Brain Computer Interfaces, a Review , 2012, Sensors.

[134]  Walter Wg,et al.  Slow potential changes in the human brain associated with expectancy, decision and intention. , 1967 .

[135]  Ryota Kanai,et al.  Rhythmic Influence of Top–Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations , 2016, Journal of Cognitive Neuroscience.

[136]  W G Walter Slow potential changes in the human brain associated with expectancy, decision and intention. , 1967, Electroencephalography and clinical neurophysiology.

[137]  Bhaskar D. Rao,et al.  Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities , 2007, ICA.

[138]  D. Poeppel,et al.  Neural Response Phase Tracks How Listeners Learn New Acoustic Representations , 2013, Current Biology.

[139]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[140]  Richard Bellman,et al.  Adaptive Control Processes - A Guided Tour (Reprint from 1961) , 2015, Princeton Legacy Library.

[141]  R. E. Dustman,et al.  PHASE OF ALPHA BRAIN WAVES, REACTION TIME AND VISUALLY EVOKED POTENTIALS. , 1965, Electroencephalography and clinical neurophysiology.

[142]  Lauren E. Ethridge,et al.  Preparatory Activations across a Distributed Cortical Network Determine Production of Express Saccades in Humans , 2010, The Journal of Neuroscience.

[143]  John J. Foxe,et al.  Oscillatory Recruitment of Bilateral Visual Cortex during Spatial Attention to Competing Rhythmic Inputs , 2015, The Journal of Neuroscience.

[144]  Antonino Vallesi,et al.  The neural basis of temporal preparation: Insights from brain tumor patients , 2007, Neuropsychologia.

[145]  Rolf Ulrich,et al.  Locus of the effect of temporal preparation: evidence from the lateralized readiness potential. , 2003, Psychophysiology.

[146]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[147]  J. Gallant,et al.  Identifying natural images from human brain activity , 2008, Nature.

[148]  David Poeppel,et al.  Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension. , 2010, Journal of neurophysiology.

[149]  David Poeppel,et al.  The neuromagnetic response to spoken sentences: Co-modulation of theta band amplitude and phase , 2012, NeuroImage.

[150]  J. Pernier,et al.  Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.

[151]  Cornelis H. M. Brunia,et al.  Reflexes as a tool: A window in the central nervous system , 1988 .

[152]  Guillaume A. Rousselet,et al.  Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox , 2012, Front. Psychology.

[153]  S. Howard Bartley,et al.  THE CORTICAL RESPONSE TO STIMULATION OF THE OPTIC NERVE IN THE RABBIT , 1932 .

[154]  D. Poeppel,et al.  Phase Patterns of Neuronal Responses Reliably Discriminate Speech in Human Auditory Cortex , 2007, Neuron.

[155]  J. Tecce Contingent negative variation (CNV) and psychological processes in man. , 1972, Psychological bulletin.

[156]  R. VanRullen,et al.  Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.

[157]  Rufin VanRullen,et al.  The Role of High-Level Processes for Oscillatory Phase Entrainment to Speech Sound , 2015, Front. Hum. Neurosci..

[158]  R. Wilcox Introduction to Robust Estimation and Hypothesis Testing , 1997 .

[159]  G. Mangun,et al.  Top-down Modulation of Neural Activity in Anticipatory Visual Attention: Control Mechanisms Revealed by Simultaneous EEG-fMRI. , 2014, Cerebral cortex.

[160]  Scott Makeig,et al.  High-frequency Broadband Modulations of Electroencephalographic Spectra , 2009, Front. Hum. Neurosci..

[161]  Guillaume A. Rousselet,et al.  LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data , 2011, Comput. Intell. Neurosci..

[162]  Thomas Serre,et al.  Reading the mind's eye: Decoding category information during mental imagery , 2010, NeuroImage.

[163]  Diane M. Beck,et al.  Pulsed Out of Awareness: EEG Alpha Oscillations Represent a Pulsed-Inhibition of Ongoing Cortical Processing , 2011, Front. Psychology.

[164]  L. Parra,et al.  Single-Trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual Decision-Making in the Human Brain , 2009, IEEE Reviews in Biomedical Engineering.

[165]  D. Lindsley Psychological phenomena and the electroencephalogram. , 1952, Electroencephalography and clinical neurophysiology.

[166]  B. Postle,et al.  Top-down control of the phase of alpha-band oscillations as a mechanism for temporal prediction , 2015, Proceedings of the National Academy of Sciences.

[167]  Sebastiaan Overeem,et al.  Corticospinal Beta-Band Synchronization Entails Rhythmic Gain Modulation , 2010, The Journal of Neuroscience.

[168]  Vaidehi S. Natu,et al.  Category-Specific Cortical Activity Precedes Retrieval During Memory Search , 2005, Science.

[169]  R. VanRullen,et al.  Ongoing EEG Phase as a Trial-by-Trial Predictor of Perceptual and Attentional Variability , 2011, Front. Psychology.

[170]  Christopher W. Pleydell-Pearce,et al.  The phase of pre-stimulus alpha oscillations influences the visual perception of stimulus timing , 2016, NeuroImage.

[171]  Yogendra P. Chaubey Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .

[172]  L. Deecke,et al.  High resolution spatiotemporal analysis of the contingent negative variation in simple or complex motor tasks and a non-motor task , 2000, Clinical Neurophysiology.

[173]  Paul Sauseng,et al.  EEG Oscillatory Phase-Dependent Markers of Corticospinal Excitability in the Resting Brain , 2014, BioMed research international.

[174]  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.

[175]  C. Schroeder,et al.  The Spectrotemporal Filter Mechanism of Auditory Selective Attention , 2013, Neuron.

[176]  O. Jensen,et al.  Alpha Oscillations Serve to Protect Working Memory Maintenance against Anticipated Distracters , 2012, Current Biology.

[177]  A. M. Potts,et al.  Ongoing occipital rhythms and the VER. I. Stimulation at peaks of the alpha-rhythm. , 1975, Investigative ophthalmology.

[178]  W. Walter,et al.  Contingent Negative Variation : An Electric Sign of Sensori-Motor Association and Expectancy in the Human Brain , 1964, Nature.

[179]  C. Schroeder,et al.  Low-frequency neuronal oscillations as instruments of sensory selection , 2009, Trends in Neurosciences.

[180]  N. Logothetis,et al.  Visual modulation of neurons in auditory cortex. , 2008, Cerebral cortex.

[181]  J. Coull Neural Substrates of Mounting Temporal Expectation , 2009, PLoS biology.

[182]  P. J. Foley The foreperiod and simple reaction time. , 1959, Canadian journal of psychology.

[183]  Ryan J. Prenger,et al.  Bayesian Reconstruction of Natural Images from Human Brain Activity , 2009, Neuron.

[184]  Richard Ragot,et al.  When time is up: CNV time course differentiates the roles of the hemispheres in the discrimination of short tone durations , 2003, Experimental Brain Research.

[185]  R. Knight,et al.  Shifts in Gamma Phase–Amplitude Coupling Frequency from Theta to Alpha Over Posterior Cortex During Visual Tasks , 2010, Front. Hum. Neurosci..

[186]  R. Oostenveld,et al.  Independent EEG Sources Are Dipolar , 2012, PloS one.

[187]  J. O'Doherty,et al.  Decoding the neural substrates of reward-related decision making with functional MRI , 2007, Proceedings of the National Academy of Sciences.

[188]  Simon Hanslmayr,et al.  Prestimulus oscillations predict visual perception performance between and within subjects , 2007, NeuroImage.

[189]  J. Lupiáñez,et al.  Attentional preparation based on temporal expectancy modulates processing at the perceptual level , 2005, Psychonomic bulletin & review.

[190]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[191]  Rolf Ulrich,et al.  The locus of temporal preparation effects: Evidence from the psychological refractory period paradigm , 2006, Psychonomic bulletin & review.

[192]  R. VanRullen,et al.  Conscious updating is a rhythmic process , 2012, Proceedings of the National Academy of Sciences.

[193]  Joaquín Rapela,et al.  Estimating nonlinear receptive fields from natural images. , 2006, Journal of vision.