The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex
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Lei Ai | Lucas C. Parra | Michael P. Milham | Tamara Vanderwal | Nicolas Langer | Simon Henin | Agustin Petroni | L. Parra | M. Milham | A. Petroni | S. Henin | Samantha S. Cohen | N. Langer | Lei Ai | T. Vanderwal
[1] G. Sapiro,et al. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. , 2013, Journal of structural biology.
[2] Viktor Müller,et al. Lower theta inter-trial phase coherence during performance monitoring is related to higher reaction time variability: A lifespan study , 2013, NeuroImage.
[3] Jonathan D. Power,et al. Functional Brain Networks Develop from a “Local to Distributed” Organization , 2009, PLoS Comput. Biol..
[4] Daniel R. Anderson,et al. Age differences in online processing of video: an eye movement study. , 2012, Child development.
[5] Christopher J. Honey,et al. Loss of reliable temporal structure in event-related averaging of naturalistic stimuli , 2012, NeuroImage.
[6] Thomas F. Nugent,et al. Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[7] K. Grill-Spector,et al. Developmental neuroimaging of the human ventral visual cortex , 2008, Trends in Cognitive Sciences.
[8] R. Folmer. rTMS for Tinnitus , 2012, Front. Hum. Neurosci..
[9] Shu-Chen Li,et al. A lifespan comparison of the reliability, test-retest stability, and signal-to-noise ratio of event-related potentials assessed during performance monitoring. , 2013, Psychophysiology.
[10] Daniel S. Margulies,et al. Longitudinal changes in resting-state fMRI from age 5 to age 6 years covary with language development , 2016, NeuroImage.
[11] R. Malach,et al. Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.
[12] Lucas C. Parra,et al. Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus , 2018, NeuroImage.
[13] P. Goldman-Rakic,et al. Synaptic development of the cerebral cortex: implications for learning, memory, and mental illness. , 1994, Progress in brain research.
[14] Lucas C Parra,et al. Engaging narratives evoke similar neural activity and lead to similar time perception , 2017, bioRxiv.
[15] Mikko Sams,et al. Neural mechanisms for integrating consecutive and interleaved natural events , 2017, Human brain mapping.
[16] Sarah Durston,et al. A shift from diffuse to focal cortical activity with development. , 2006, Developmental science.
[17] 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 .
[18] Vasily A. Vakorin,et al. Variability of Brain Signals Processed Locally Transforms into Higher Connectivity with Brain Development , 2011, Journal of Neuroscience.
[19] D. Heeger,et al. Reliability of cortical activity during natural stimulation , 2010, Trends in Cognitive Sciences.
[20] F. Barbosa,et al. The development of the N1 and N2 components in auditory oddball paradigms: a systematic review with narrative analysis and suggested normative values , 2015, Journal of Neural Transmission.
[21] P. Huttenlocher,et al. Regional differences in synaptogenesis in human cerebral cortex , 1997, The Journal of comparative neurology.
[22] J. Morton,et al. Tracking the Brain's Functional Coupling Dynamics over Development , 2015, The Journal of Neuroscience.
[23] M. Arns,et al. P300 Development across the Lifespan: A Systematic Review and Meta-Analysis , 2014, PloS one.
[24] John S. Johnson,et al. Audience preferences are predicted by temporal reliability of neural processing , 2014, Nature Communications.
[25] Greg H. Proudfit,et al. Two-year stability of the late positive potential across middle childhood and adolescence , 2013, Biological Psychology.
[26] Lucas C. Parra,et al. Measuring engagement in a classroom: Synchronised neural recordings during a video presentation , 2016, ArXiv.
[27] Darren Price,et al. Idiosyncratic responding during movie-watching predicted by age differences in attentional control , 2015, Neurobiology of Aging.
[28] Michael J Sailor,et al. Mesoporous silicon sponge as an anti-pulverization structure for high-performance lithium-ion battery anodes , 2014, Nature Communications.
[29] Gorka Zamora-López,et al. Cortical Hubs Form a Module for Multisensory Integration on Top of the Hierarchy of Cortical Networks , 2009, Front. Neuroinform..
[30] Arno Klein,et al. The Healthy Brain Network Biobank: An open resource for transdiagnostic research in pediatric mental health and learning disorders , 2017 .
[31] Lucas C Parra,et al. A resource for assessing information processing in the developing brain using EEG and eye tracking , 2016, Scientific Data.
[32] Desirable Directions of Accident Investigation , 2009 .
[33] C. Grady. The cognitive neuroscience of ageing , 2012, Nature Reviews Neuroscience.
[34] Mikko Sams,et al. Inter-Subject Correlation of Brain Hemodynamic Responses During Watching a Movie: Localization in Space and Frequency , 2009, Front. Neuroinform..
[35] Annabelle Blangero,et al. Electrophysiological indices of surround suppression in humans. , 2015, Journal of neurophysiology.
[36] A. Hofman,et al. The association of gender, age, and intelligence with neuropsychological functioning in young typically developing children: The Generation R study , 2017, Applied neuropsychology. Child.
[37] Anthony R. McIntosh,et al. Exploring Age-Related Changes in Dynamical Non-Stationarity in Electroencephalographic Signals during Early Adolescence , 2013, PloS one.
[38] H. Kraemer,et al. How can we learn about developmental processes from cross-sectional studies, or can we? , 2000, The American journal of psychiatry.
[39] Stuart J. Ritchie,et al. Age differences in brain white matter microstructure in UK Biobank (N = 3,513) , 2016, bioRxiv.
[40] L. Parra,et al. Memorable Audiovisual Narratives Synchronize Sensory and Supramodal Neural Responses , 2016, eNeuro.
[41] J. Giedd,et al. Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging , 2006, Neuroscience & Biobehavioral Reviews.
[42] Lucas C. Parra,et al. Recipes for the linear analysis of EEG , 2005, NeuroImage.
[43] A. Pollard,et al. Limb proportions show developmental plasticity in response to embryo movement , 2017, Scientific Reports.
[44] K. Squires,et al. Age-related variations in evoked potentials to auditory stimuli in normal human subjects. , 1978, Electroencephalography and clinical neurophysiology.
[45] B. Peterson,et al. Neuroimaging studies of normal brain development and their relevance for understanding childhood neuropsychiatric disorders. , 2008, Journal of the American Academy of Child and Adolescent Psychiatry.
[46] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[47] C. Sisk,et al. The neural basis of puberty and adolescence , 2004, Nature Neuroscience.
[48] Mikko Sams,et al. Naturalistic fMRI Mapping Reveals Superior Temporal Sulcus as the Hub for the Distributed Brain Network for Social Perception , 2012, Front. Hum. Neurosci..
[49] Jessica F. Cantlon,et al. Neural Activity during Natural Viewing of Sesame Street Statistically Predicts Test Scores in Early Childhood , 2013, PLoS biology.
[50] Roy P. C. Kessels,et al. P 300 Development across the Lifespan : A Systematic Review and Meta-Analysis , 2017 .
[51] S. Sprecher,et al. Brain Development , 2014, Methods in Molecular Biology.
[52] Paul M. Thompson,et al. Sexual dimorphism of brain developmental trajectories during childhood and adolescence , 2007, NeuroImage.
[53] Natasa Kovacevic,et al. Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development , 2008, PLoS Comput. Biol..
[54] P. Uhlhaas,et al. Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data , 2013, Cerebral cortex.
[55] D. Margulies,et al. Development of anterior cingulate functional connectivity from late childhood to early adulthood. , 2009, Cerebral cortex.
[56] J. Rapoport,et al. Child Psychiatry Branch of the National Institute of Mental Health Longitudinal Structural Magnetic Resonance Imaging Study of Human Brain Development , 2015, Neuropsychopharmacology.
[57] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[58] Jason J. Ki,et al. Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli , 2016, The Journal of Neuroscience.
[59] David J. Heeger,et al. Neural variability: friend or foe? , 2015, Trends in Cognitive Sciences.
[60] Alan C. Evans,et al. Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.
[61] N Birbaumer,et al. Complexity of electrocortical dynamics in children: developmental aspects. , 2000, Developmental psychobiology.