Functional connectivity patterns predict naturalistic viewing versus rest across development
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[1] Gentaro Taga,et al. Functional brain imaging using fMRI and optical topography in infancy. , 2002, Sleep medicine.
[2] R. Malach,et al. Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.
[3] Justin L. Vincent,et al. Intrinsic Fluctuations within Cortical Systems Account for Intertrial Variability in Human Behavior , 2007, Neuron.
[4] Jonathan D. Power,et al. Functional Brain Networks Develop from a “Local to Distributed” Organization , 2009, PLoS Comput. Biol..
[5] Kaustubh Supekar,et al. Development of Large-Scale Functional Brain Networks in Children , 2009, NeuroImage.
[6] A. Snyder,et al. Longitudinal analysis of neural network development in preterm infants. , 2010, Cerebral cortex.
[7] D. Heeger,et al. Reliability of cortical activity during natural stimulation , 2010, Trends in Cognitive Sciences.
[8] Hang,et al. Resting-state fMRI can reliably map neural networks in children , 2010 .
[9] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[10] R. Olmsted. The present. , 2010, American journal of infection control.
[11] Catie Chang,et al. Resting-state fMRI can reliably map neural networks in children , 2011, NeuroImage.
[12] Rafael Malach,et al. Disrupted Neural Synchronization in Toddlers with Autism , 2011, Neuron.
[13] Wei Gao,et al. Frontal parietal control network regulates the anti‐correlated default and dorsal attention networks , 2012, Human brain mapping.
[14] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[15] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[16] Jukka-Pekka Kauppi,et al. Inter-Subject Correlation in fMRI: Method Validation against Stimulus-Model Based Analysis , 2012, PloS one.
[17] Hisao Nishijo,et al. Developmental Trajectories of Amygdala and Hippocampus from Infancy to Early Adulthood in Healthy Individuals , 2012, PloS one.
[18] Daniel S. Margulies,et al. Effects of Finger Tapping Frequency on Regional Homogeneity of Sensorimotor Cortex , 2013, PloS one.
[19] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[20] Benjamin W. Mooneyham,et al. The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition , 2013, Front. Hum. Neurosci..
[21] Viviana Betti,et al. Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain , 2013, Neuron.
[22] Alan C. Evans,et al. Developmental changes in organization of structural brain networks. , 2013, Cerebral cortex.
[23] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[24] Mary E. Meyerand,et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.
[25] Vince D. Calhoun,et al. Functional connectivity in the developing brain: A longitudinal study from 4 to 9months of age , 2014, NeuroImage.
[26] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[27] John H. Gilmore,et al. Development of human brain cortical network architecture during infancy , 2014, Brain Structure and Function.
[28] Damien A. Fair,et al. Connectotyping: Model Based Fingerprinting of the Functional Connectome , 2014, PloS one.
[29] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[30] L. Williams,et al. Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis , 2014, Biological Psychiatry.
[31] R. Kahn,et al. The Neonatal Connectome During Preterm Brain Development , 2014, Cerebral cortex.
[32] Catherine Limperopoulos,et al. Functional properties of resting state networks in healthy full-term newborns , 2015, Scientific Reports.
[33] Laura C. Buchanan,et al. Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns , 2015, Proceedings of the National Academy of Sciences.
[34] J. Morton,et al. Tracking the Brain's Functional Coupling Dynamics over Development , 2015, The Journal of Neuroscience.
[35] Abraham Z. Snyder. Intrinsic Brain Activity and Resting State Networks , 2015 .
[36] Xi-Nian Zuo,et al. Short-term test–retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder , 2015, Developmental Cognitive Neuroscience.
[37] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[38] John H. Gilmore,et al. Network-Level Connectivity Dynamics of Movie Watching in 6-Year-Old Children , 2015, Front. Hum. Neurosci..
[39] Feng Liu,et al. Disrupted structural connectivity network in treatment-naive depression , 2015, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[40] Tamara Vanderwal,et al. Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging , 2015, NeuroImage.
[41] Jesper Andersson,et al. A multi-modal parcellation of human cerebral cortex , 2016, Nature.
[42] Evan M. Gordon,et al. Evidence for Two Independent Factors that Modify Brain Networks to Meet Task Goals. , 2016, Cell reports.
[43] Janice Chen,et al. Dynamic reconfiguration of the default mode network during narrative comprehension , 2016, Nature Communications.
[44] Christine Delmaire,et al. Cognitive phenotypes in parkinson's disease differ in terms of brain‐network organization and connectivity , 2017, Human brain mapping.
[45] Waltz,et al. Descriptor : An open resource for transdiagnostic research in pediatric mental health and learning disorders , 2019 .
[46] R. Killiany,et al. Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer’s Disease , 2017, Brain sciences.
[47] Damien A. Fair,et al. Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature , 2017, NeuroImage.
[48] R. Cameron Craddock,et al. Individual differences in functional connectivity during naturalistic viewing conditions , 2016, NeuroImage.
[49] R. Nathan Spreng,et al. Interactions between the default network and dorsal attention network vary across default subsystems, time, and cognitive states , 2017, NeuroImage.
[50] Karl J. Friston,et al. Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions , 2017 .
[51] Jonathan W. Pillow,et al. Discovering Event Structure in Continuous Narrative Perception and Memory , 2016, Neuron.
[52] Guido Gerig,et al. Joint Attention and Brain Functional Connectivity in Infants and Toddlers , 2017, Cerebral cortex.
[53] Dustin Scheinost,et al. Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility , 2017, Cerebral cortex.
[54] Christiane S. Rohr,et al. Functional Connectivity of the Dorsal Attention Network Predicts Selective Attention in 4-7 year-old Girls. , 2016, Cerebral cortex.
[55] Deborah Dewey,et al. Age-related functional brain changes in young children , 2017, NeuroImage.
[56] Yu-Te Wu,et al. Functional network-based statistics in depression: Theory of mind subnetwork and importance of parietal region. , 2017, Journal of affective disorders.
[57] Vince D Calhoun,et al. Dynamic functional connectivity of neurocognitive networks in children , 2017, Human brain mapping.
[58] O. Andreassen,et al. Delayed stabilization and individualization in connectome development are related to psychiatric disorders , 2017, Nature Neuroscience.
[59] Kenneth A. Norman,et al. Representation of Real-World Event Schemas during Narrative Perception , 2018, The Journal of Neuroscience.
[60] Jennifer H. Pfeifer,et al. Current methods and limitations for longitudinal fMRI analysis across development , 2017, Developmental Cognitive Neuroscience.
[61] Essa Yacoub,et al. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds , 2018, NeuroImage.
[62] Simon B Eickhoff,et al. Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results , 2018, Network Neuroscience.
[63] Katherine L. Bottenhorn,et al. Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results , 2017, bioRxiv.
[64] Damien A. Fair,et al. Behavioral interventions for reducing head motion during MRI scans in children , 2018, NeuroImage.
[65] Lei Ai,et al. The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex , 2018, eNeuro.
[66] Simon B Eickhoff,et al. Imaging-based parcellations of the human brain , 2018, Nature Reviews Neuroscience.
[67] Yizhen Zhang,et al. Task-Evoked Functional Connectivity Does Not Explain Functional Connectivity Differences Between Rest and Task Conditions , 2018, bioRxiv.
[68] N. Turk-Browne,et al. Infant fMRI: A Model System for Cognitive Neuroscience , 2018, Trends in Cognitive Sciences.
[69] F. Castellanos,et al. Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging , 2018, Developmental Cognitive Neuroscience.
[70] Matthieu Gilson,et al. Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions , 2017, NeuroImage.
[71] Anders M. Dale,et al. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites , 2018, Developmental Cognitive Neuroscience.
[72] Marc L Seal,et al. Different brain networks underlying intelligence in autism spectrum disorders , 2018, Human brain mapping.
[73] Christiane S. Rohr,et al. Functional network integration and attention skills in young children , 2018, Developmental Cognitive Neuroscience.
[74] Timothy O. Laumann,et al. Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation , 2018, Neuron.
[75] Peter A. Bandettini,et al. Task-based dynamic functional connectivity: Recent findings and open questions , 2017, NeuroImage.
[76] César Caballero-Gaudes,et al. Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest , 2019 .
[77] Abigail S. Greene,et al. Functional connectivity predicts changes in attention over minutes, days, and months , 2019, bioRxiv.
[78] Michael W. Cole,et al. Mapping the human brain's cortical-subcortical functional network organization , 2018, NeuroImage.
[79] Matthieu Gilson,et al. Distinct modes of functional connectivity induced by movie-watching , 2019, NeuroImage.
[80] Michael Breakspear,et al. Naturalistic Stimuli in Neuroscience: Critically Acclaimed , 2019, Trends in Cognitive Sciences.
[81] Luke J. Chang,et al. Movie viewing elicits rich and reliable brain state dynamics , 2020, Nature Communications.
[82] C T Ellis,et al. Re-imagining fMRI for awake behaving infants , 2020, Nature Communications.
[83] Michael P. Milham,et al. Stability and similarity of the pediatric connectome as developmental outcomes , 2019, bioRxiv.