Data Descriptor: A resource for assessing information processing in the developing brain using EEG and eye tracking

[1]  D. Wechsler.  Wechsler Intelligence Scale for Children , 2020, Definitions.

[2]  Kjell Öberg,et al.  Telotristat Ethyl, a Tryptophan Hydroxylase Inhibitor for the Treatment of Carcinoid Syndrome. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  Roy P. C. Kessels,et al.  P 300 Development across the Lifespan : A Systematic Review and Meta-Analysis , 2017 .

[4]  J. Atkinson,et al.  Neural Differences between Covert and Overt Attention Studied using EEG with Simultaneous Remote Eye Tracking , 2016, Front. Hum. Neurosci..

[5]  Lucas C. Parra,et al.  Age and sex affect intersubject correlation of EEG throughout development , 2016 .

[6]  L. Parra,et al.  Memorable Audiovisual Narratives Synchronize Sensory and Supramodal Neural Responses , 2016, eNeuro.

[7]  Simon P. Kelly,et al.  Tracking neural correlates of successful learning over repeated sequence observations , 2016, NeuroImage.

[8]  Bruce N Cuthbert,et al.  The NIMH Research Domain Criteria Initiative: Background, Issues, and Pragmatics. , 2016, Psychophysiology.

[9]  S. Makeig,et al.  Research Review: Use of EEG biomarkers in child psychiatry research - current state and future directions. , 2016, Journal of child psychology and psychiatry, and allied disciplines.

[10]  Tamara Vanderwal,et al.  Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging , 2015, NeuroImage.

[11]  S. Kelly,et al.  The classic P300 encodes a build‐to‐threshold decision variable , 2015, The European journal of neuroscience.

[12]  T. Insel,et al.  Brain disorders? Precisely , 2015, Science.

[13]  Joel Frohlich,et al.  Electrophysiological biomarkers of diagnosis and outcome in neurodevelopmental disorders. , 2015, Current opinion in neurology.

[14]  Annabelle Blangero,et al.  Electrophysiological indices of surround suppression in humans. , 2015, Journal of neurophysiology.

[15]  Tobias Banaschewski,et al.  A Matter of Time: The Influence of Recording Context on EEG Spectral Power in Adolescents and Young Adults with ADHD , 2014, Brain Topography.

[16]  John S. Johnson,et al.  Audience preferences are predicted by temporal reliability of neural processing , 2014, Nature Communications.

[17]  Reinhold Schmidt,et al.  Strategic white matter tracts for processing speed deficits in age-related small vessel disease , 2014, Neurology.

[18]  Philipp Sterzer,et al.  Altered Contextual Modulation of Primary Visual Cortex Responses in Schizophrenia , 2013, Neuropsychopharmacology.

[19]  H. B. Meziane,et al.  Neural Activations during Visual Sequence Learning Leave a Trace in Post-Training Spontaneous EEG , 2013, PloS one.

[20]  T. Insel,et al.  Toward the future of psychiatric diagnosis: the seven pillars of RDoC , 2013, BMC Medicine.

[21]  Duje Tadin,et al.  A Substantial and Unexpected Enhancement of Motion Perception in Autism , 2013, The Journal of Neuroscience.

[22]  Annabelle Blangero,et al.  Exploiting individual primary visual cortex geometry to boost steady state visual evoked potentials , 2013, Journal of neural engineering.

[23]  Jessica F. Cantlon,et al.  Neural Activity during Natural Viewing of Sesame Street Statistically Predicts Test Scores in Early Childhood , 2013, PLoS biology.

[24]  T. Insel,et al.  Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? , 2012, Molecular Psychiatry.

[25]  S. Kelly,et al.  A supramodal accumulation-to-bound signal that determines perceptual decisions in humans , 2012, Nature Neuroscience.

[26]  Christopher J. Honey,et al.  Loss of reliable temporal structure in event-related averaging of naturalistic stimuli , 2012, NeuroImage.

[27]  Lorena R. R. Gianotti,et al.  Functional brain network efficiency predicts intelligence , 2012, Human brain mapping.

[28]  L. Parra,et al.  Human Neuroscience Original Research Article Correlated Components of Ongoing Eeg Point to Emotionally Laden Attention – a Possible Marker of Engagement? , 2022 .

[29]  L. Feinendegen,et al.  Developmental Equations for the Electroencephalogram , 2012 .

[30]  Allison M. McKendrick,et al.  Migraine Increases Centre-Surround Suppression for Drifting Visual Stimuli , 2011, PloS one.

[31]  M. Eckert.  Slowing Down: Age-Related Neurobiological Predictors of Processing Speed , 2011, Front. Neurosci..

[32]  Alex R. Wade,et al.  The effects of visuospatial attention measured across visual cortex using source-imaged, steady-state EEG. , 2010, Journal of vision.

[33]  Yi Ma,et al.  The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.

[34]  U. Hasson,et al.  Speaker–listener neural coupling underlies successful communication , 2010, Proceedings of the National Academy of Sciences.

[35]  A. Cichocki,et al.  Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives , 2010, Progress in Neurobiology.

[36]  M. Fox,et al.  Clinical Applications of Resting State Functional Connectivity , 2010, Front. Syst. Neurosci..

[37]  D. Heeger,et al.  Reliability of cortical activity during natural stimulation , 2010, Trends in Cognitive Sciences.

[38]  S. Micheloyannis,et al.  Cortical Network Analysis in Patients Affected by Schizophrenia , 2010, Brain Topography.

[39]  Christopher R. Brown,et al.  EEG differences in children between eyes-closed and eyes-open resting conditions , 2009, Clinical Neurophysiology.

[40]  Edward T. Bullmore,et al.  Reproducibility of graph metrics of human brain functional networks , 2009, NeuroImage.

[41]  Andreas K. Engel,et al.  Buildup of Choice-Predictive Activity in Human Motor Cortex during Perceptual Decision Making , 2009, Current Biology.

[42]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[43]  Marvin M Chun,et al.  Enhanced Visual Motion Perception in Major Depressive Disorder , 2009, The Journal of Neuroscience.

[44]  Andrew Pipingas,et al.  A steady state visually evoked potential investigation of memory and ageing , 2009, Brain and Cognition.

[45]  Jonathan Smallwood,et al.  When is your head at? An exploration of the factors associated with the temporal focus of the wandering mind , 2009, Consciousness and Cognition.

[46]  S. Debener,et al.  Trial-by-Trial Fluctuations in the Event-Related Electroencephalogram Reflect Dynamic Changes in the Degree of Surprise , 2008, The Journal of Neuroscience.

[47]  D. Katz,et al.  Behavioral states, network states, and sensory response variability. , 2008, Journal of neurophysiology.

[48]  Yanling Yin,et al.  EEG default mode network in the human brain: Spectral regional field powers , 2008, NeuroImage.

[49]  Denis Brunet,et al.  Topographic ERP Analyses: A Step-by-Step Tutorial Review , 2008, Brain Topography.

[50]  L. Davachi,et al.  Enhanced Intersubject Correlations during Movie Viewing Correlate with Successful Episodic Encoding , 2008, Neuron.

[51]  J. Smallwood,et al.  Segmenting the stream of consciousness: The psychological correlates of temporal structures in the time series data of a continuous performance task , 2008, Brain and Cognition.

[52]  Stephen Jose Hanson,et al.  Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task , 2008, Journal of Computational Neuroscience.

[53]  Arjen van Ooyen,et al.  Genetic Contributions to Long-Range Temporal Correlations in Ongoing Oscillations , 2007, The Journal of Neuroscience.

[54]  Roberto D. Pascual-Marqui,et al.  Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition , 2007, 0711.1455.

[55]  Marc Wildi,et al.  Test–retest reliability of resting EEG spectra validates a statistical signature of persons , 2007, Clinical Neurophysiology.

[56]  D. Spinelli,et al.  Spatiotemporal analysis of the cortical sources of the steady‐state visual evoked potential , 2007, Human brain mapping.

[57]  John J. Foxe,et al.  Optimal sustained attention is linked to the spectral content of background EEG activity: greater ongoing tonic alpha (approximately 10 Hz) power supports successful phasic goal activation. , 2007, The European journal of neuroscience.

[58]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[59]  S. Dakin,et al.  Weak suppression of visual context in chronic schizophrenia , 2005, Current Biology.

[60]  John J. Foxe,et al.  Neurophysiological markers of alert responding during goal-directed behavior: A high-density electrical mapping study , 2005, NeuroImage.

[61]  E. Kaplan,et al.  Speed and memory in the WAIS-III Digit Symbol--Coding subtest across the adult lifespan. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[62]  V. T. Shuvaev,et al.  Genetic Determination of Neurophysiological Mechanisms of Cortical-Subcortical Integration of Bioelectrical Brain Activity , 2004, Neuroscience and Behavioral Physiology.

[63]  R. Malach,et al.  Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.

[64]  S. Zeki,et al.  Functional brain mapping during free viewing of natural scenes , 2004, Human brain mapping.

[65]  Elena V Orekhova,et al.  Heritability and "environmentability" of electroencephalogram in infants: the twin study. , 2003, Psychophysiology.

[66]  David J Heeger,et al.  Response Suppression in V1 Agrees with Psychophysics of Surround Masking , 2003, The Journal of Neuroscience.

[67]  T. Salthouse,et al.  What needs to be explained to account for age-related effects on multiple cognitive variables? , 2003, Psychology and aging.

[68]  J. Movshon,et al.  Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons. , 2002, Journal of neurophysiology.

[69]  S. Hillyard,et al.  Cortical sources of the early components of the visual evoked potential , 2002, Human brain mapping.

[70]  D S Tulsky,et al.  Criterion validity of new WAIS–III subtest scores after traumatic brain injury , 2001, Journal of the International Neuropsychological Society.

[71]  M. Neale,et al.  Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation , 2001, Behavior genetics.

[72]  Jeffrey M. Zacks,et al.  Event structure in perception and conception. , 2001, Psychological bulletin.

[73]  D. Heeger,et al.  Center-surround interactions in foveal and peripheral vision , 2000, Vision Research.

[74]  A. Kondacs,et al.  Long-term intra-individual variability of the background EEG in normals , 1999, Clinical Neurophysiology.

[75]  D. Schacter,et al.  When encoding yields remembering: insights from event-related neuroimaging. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[76]  Christa Neuper,et al.  Visually guided motor imagery activates sensorimotor areas in humans , 1999, Neuroscience Letters.

[77]  D L Schacter,et al.  Perspectives: neuroscience. Remembrance of things past. , 1999, Science.

[78]  P. Achermann,et al.  Sleep homeostasis and models of sleep regulation. , 1999, Journal of biological rhythms.

[79]  T. Koenig,et al.  Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts. , 1998, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[80]  Daphne N. Yu,et al.  High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. , 1997, Cerebral cortex.

[81]  J. B. Levitt,et al.  Contrast dependence of contextual effects in primate visual cortex , 1997, nature.

[82]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[83]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[84]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[85]  D. Lehmann,et al.  Segmentation of brain electrical activity into microstates: model estimation and validation , 1995, IEEE Transactions on Biomedical Engineering.

[86]  T. Fernández,et al.  EEG activation patterns during the performance of tasks involving different components of mental calculation. , 1995, Electroencephalography and clinical neurophysiology.

[87]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[88]  J. Flint,et al.  Factor structure of the Wechsler Adult Intelligence Scale-revised (WAIS-R): a clinical sample. , 1992, The British journal of clinical psychology.

[89]  F. Perrin,et al.  Spherical splines for scalp potential and current density mapping. , 1989, Electroencephalography and clinical neurophysiology.

[90]  D. Regan.  Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine , 1989 .

[91]  C. Eriksen,et al.  Pre- and poststimulus activation of response channels: a psychophysiological analysis. , 1988, Journal of experimental psychology. Human perception and performance.

[92]  E. John,et al.  Neurometrics: computer-assisted differential diagnosis of brain dysfunctions. , 1988, Science.

[93]  D Lehmann,et al.  EEG alpha map series: brain micro-states by space-oriented adaptive segmentation. , 1987, Electroencephalography and clinical neurophysiology.

[94]  L. Squire,et al.  Brain responses to concrete and abstract words reflect processes that correlate with later performance on a test of stem-completion priming. , 1987, Electroencephalography and clinical neurophysiology. Supplement.

[95]  F. Perrin,et al.  Mapping of scalp potentials by surface spline interpolation. , 1987, Electroencephalography and clinical neurophysiology.

[96]  M. Kutas,et al.  Event-related brain potentials during initial encoding and recognition memory of congruous and incongruous words , 1986 .

[97]  E Donchin,et al.  A psychophysiological analysis of bargaining. ERPs and facial expressions. , 1984, Annals of the New York Academy of Sciences.

[98]  E. Donchin.  Presidential address, 1980. Surprise!...Surprise? , 1981, Psychophysiology.

[99]  F. Royer,et al.  Normative data for the Symbol Digit Substitution Task. , 1981, Journal of clinical psychology.

[100]  W M Herrmann,et al.  Reflections on the topics: EEG frequency bands and regulation of vigilance. , 1979, Pharmakopsychiatrie, Neuro-Psychopharmakologie.

[101]  M. McCabe.  Presidential address. , 1970, Irish nurses' journal.

[102]  D. Regan,et al.  An Effect of Stimulus Colour on Average Steady-state Potentials evoked in Man , 1966, Nature.