Spatial processing: An 'other' kind of place cell
暂无分享,去创建一个
John H. Gilmore | Wei Gao | Rebecca C. Knickmeyer | J. Gilmore | Wei Gao | R. Knickmeyer | Natasha Bray
[1] R. Gur,et al. Age-related volumetric changes of brain gray and white matter in healthy infants and children. , 2001, Cerebral cortex.
[2] Efstathios D. Gennatas,et al. Network-level structural covariance in the developing brain , 2010, Proceedings of the National Academy of Sciences.
[3] N. Kabani,et al. Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. , 2008, Cerebral cortex.
[4] Esther Gómez-Gil,et al. White matter microstructure in female to male transsexuals before cross-sex hormonal treatment. A diffusion tensor imaging study. , 2011, Journal of psychiatric research.
[5] P. Gluckman,et al. Prenatal Maternal Depression Associates with Microstructure of Right Amygdala in Neonates at Birth , 2013, Biological Psychiatry.
[6] Steen Moeller,et al. Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data , 2015, NeuroImage.
[7] Joan L. Luby,et al. Handbook of preschool mental health : development, disorders, and treatment , 2006 .
[8] Alan C. Evans,et al. Developmental changes in organization of structural brain networks. , 2013, Cerebral cortex.
[9] Woei-Chyn Chu,et al. Sex-linked white matter microstructure of the social and analytic brain , 2011, NeuroImage.
[10] J. Giedd,et al. Subtle in‐scanner motion biases automated measurement of brain anatomy from in vivo MRI , 2016, Human brain mapping.
[11] J. Gilmore,et al. Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood. , 2015, Cerebral cortex.
[12] Yong He,et al. Development of human brain structural networks through infancy and childhood. , 2015, Cerebral cortex.
[13] Dinggang Shen,et al. Development of Cortical Anatomical Properties from Early Childhood to Early Adulthood , 2022 .
[14] Michael Brecht,et al. Map Plasticity in Somatosensory Cortex , 2005, Science.
[15] Koene R. A. Van Dijk,et al. Amygdala subnuclei resting-state functional connectivity sex and estrogen differences , 2016, Psychoneuroendocrinology.
[16] T. Huisman,et al. Congenital Brain Abnormalities: An Update on Malformations of Cortical Development and Infratentorial Malformations , 2014, Seminars in Neurology.
[17] Derek K. Jones,et al. Gleaning multicomponent T1 and T2 information from steady‐state imaging data , 2008, Magnetic resonance in medicine.
[18] Egill Rostrup,et al. Visual Activation in Infants and Young Children Studied by Functional Magnetic Resonance Imaging , 1998, Pediatric Research.
[19] Kimberly G. Noble,et al. Socioeconomic status and structural brain development , 2014, Front. Neurosci..
[20] A. Hofman,et al. Infant brain development and vulnerability to later internalizing difficulties: the Generation R study. , 2010, Journal of the American Academy of Child and Adolescent Psychiatry.
[21] Damien A. Fair,et al. Developmental sex differences in resting state functional connectivity of amygdala sub-regions , 2015, NeuroImage.
[22] R. Henry,et al. Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings , 2008, American Journal of Neuroradiology.
[23] Philip K. McGuire,et al. Gender Influence on White Matter Microstructure: A Tract-Based Spatial Statistics Analysis , 2014, PloS one.
[24] M. Dylan Tisdall,et al. Head motion during MRI acquisition reduces gray matter volume and thickness estimates , 2015, NeuroImage.
[25] Lindsay Walker,et al. Modeling healthy male white matter and myelin development: 3 through 60 months of age , 2014, NeuroImage.
[26] M. Styner,et al. Longitudinal development of cortical and subcortical gray matter from birth to 2 years. , 2012, Cerebral cortex.
[27] P. Schoenemann,et al. Prefrontal white matter volume is disproportionately larger in humans than in other primates , 2005, Nature Neuroscience.
[28] Bruce Fischl,et al. Genetic topography of brain morphology , 2013, Proceedings of the National Academy of Sciences.
[29] Andrew P. Salzwedel,et al. Functional Connectivity Disruption in Neonates with Prenatal Marijuana Exposure , 2015, Front. Hum. Neurosci..
[30] Mitchel S. Berger,et al. Corridors of Migrating Neurons in Human Brain and Their Decline during Infancy , 2011, Nature.
[31] F Godenschweger,et al. Motion correction in MRI of the brain , 2016, Physics in medicine and biology.
[32] M. Corbetta,et al. Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex , 1997, Journal of Cognitive Neuroscience.
[33] Christopher L Lankford,et al. On the inherent precision of mcDESPOT , 2013, Magnetic resonance in medicine.
[34] Kaustubh Supekar,et al. Development of Large-Scale Functional Brain Networks in Children , 2009, NeuroImage.
[35] Martin Styner,et al. Common variants in psychiatric risk genes predict brain structure at birth. , 2014, Cerebral cortex.
[36] Dinggang Shen,et al. Development Trends of White Matter Connectivity in the First Years of Life , 2011, PloS one.
[37] A. Snyder,et al. Longitudinal analysis of neural network development in preterm infants. , 2010, Cerebral cortex.
[38] Brad E. Sheese,et al. Developing Mechanisms of Self-Regulation in Early Life , 2011, Emotion review : journal of the International Society for Research on Emotion.
[39] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[40] D. Cohen. Magnetoencephalography: Detection of the Brain's Electrical Activity with a Superconducting Magnetometer , 1972, Science.
[41] Mark H. Johnson,et al. Mapping Infant Brain Myelination with Magnetic Resonance Imaging , 2011, The Journal of Neuroscience.
[42] Cedric E. Ginestet,et al. White matter development and early cognition in babies and toddlers , 2014, Human brain mapping.
[43] Samuel Bernard,et al. Dynamics of Oligodendrocyte Generation and Myelination in the Human Brain , 2014, Cell.
[44] J. Pekar,et al. A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.
[45] D. Barch,et al. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. , 2013, JAMA pediatrics.
[46] Cyril Poupon,et al. Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter. , 2014, Magnetic resonance imaging.
[47] Jesper Andersson,et al. Changes in white matter microstructure in the developing brain—A longitudinal diffusion tensor imaging study of children from 4 to 11 years of age , 2016, NeuroImage.
[48] Anqi Qiu,et al. COMT haplotypes modulate associations of antenatal maternal anxiety and neonatal cortical morphology. , 2015, The American journal of psychiatry.
[49] Cornelis J. Stam,et al. Genetic control of functional brain network efficiency in children , 2013, European Neuropsychopharmacology.
[50] Michael C Neale,et al. Heritability of white matter microstructure in late middle age: A twin study of tract‐based fractional anisotropy and absolute diffusivity indices , 2017, Human brain mapping.
[51] Yong He,et al. Toward Developmental Connectomics of the Human Brain , 2016, Front. Neuroanat..
[52] P. Gluckman,et al. Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants , 2015, Translational Psychiatry.
[53] F. Benes,et al. Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence, and adulthood. , 1994, Archives of general psychiatry.
[54] Mie Matsui,et al. Developmental Trajectories of the Fronto-Temporal Lobes from Infancy to Early Adulthood in Healthy Individuals , 2012, Developmental Neuroscience.
[55] S. Dehaene,et al. Functional Neuroimaging of Speech Perception in Infants , 2002, Science.
[56] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[57] Wei Gao,et al. Emergence of a hierarchical brain during infancy reflected by stepwise functional connectivity , 2017, Human brain mapping.
[58] J. Gilmore,et al. Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age. , 2013, Cerebral cortex.
[59] Kevin G. Guise,et al. Functional connectivity of the sensorimotor area in naturally sleeping infants , 2008, Brain Research.
[60] B. Pakkenberg,et al. Neocortical neuron number in humans: Effect of sex and age , 1997, The Journal of comparative neurology.
[61] Marisa N. Spann,et al. Morphological features of the neonatal brain support development of subsequent cognitive, language, and motor abilities , 2014, Human brain mapping.
[62] P. Fox,et al. Genetic control over the resting brain , 2010, Proceedings of the National Academy of Sciences.
[63] J. L. Conel,et al. The cortex of the four-year child , 1963 .
[64] Xue Hua,et al. Brain differences in infants at differential genetic risk for late-onset Alzheimer disease: a cross-sectional imaging study. , 2014, JAMA neurology.
[65] Guido Gerig,et al. Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. , 2012, The American journal of psychiatry.
[66] Egill Rostrup,et al. Change of visually induced cortical activation patterns during development , 1996, The Lancet.
[67] J K Smith,et al. Temporal and Spatial Development of Axonal Maturation and Myelination of White Matter in the Developing Brain , 2008, American Journal of Neuroradiology.
[68] Heiko J. Luhmann,et al. Early patterns of electrical activity in the developing cerebral cortex of humans and rodents , 2006, Trends in Neurosciences.
[69] Dinggang Shen,et al. Temporal and Spatial Evolution of Brain Network Topology during the First Two Years of Life , 2011, PloS one.
[70] T. Paus,et al. Studying neuroanatomy using MRI , 2017, Nature Neuroscience.
[71] H. Berger. Über das Elektrenkephalogramm des Menschen , 1929, Archiv für Psychiatrie und Nervenkrankheiten.
[72] Alan C. Evans,et al. Maturation of white matter in the human brain: a review of magnetic resonance studies , 2001, Brain Research Bulletin.
[73] Claes Nordborg,et al. Neocortical neurogenesis in humans is restricted to development , 2006, Proceedings of the National Academy of Sciences.
[74] H Takao,et al. Effects of Age and Gender on White Matter Integrity , 2011, American Journal of Neuroradiology.
[75] O. Sporns,et al. White matter maturation reshapes structural connectivity in the late developing human brain , 2010, Proceedings of the National Academy of Sciences.
[76] S. Deoni,et al. Characterizing longitudinal white matter development during early childhood , 2014, Brain Structure and Function.
[77] R. Kahn,et al. The Neonatal Connectome During Preterm Brain Development , 2014, Cerebral cortex.
[78] Dinggang Shen,et al. Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects , 2009, Proceedings of the National Academy of Sciences.
[79] R A Andersen,et al. Multimodal integration for the representation of space in the posterior parietal cortex. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[80] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[81] C. Dreyfus-Brisac,et al. Électroencéphalogrammes discontinus du nouveau-né prématuré et à terme. Corrélations électro-anatomo-cliniques , 1971 .
[82] J. Gilmore,et al. Impact of sex and gonadal steroids on neonatal brain structure. , 2014, Cerebral cortex.
[83] Janette Atkinson,et al. Regional Hemodynamic Responses to Visual Stimulation in Awake Infants , 1998, Pediatric Research.
[84] J. Gilmore,et al. Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age , 2014, The Journal of Neuroscience.
[85] Eveline A. Crone,et al. Structural brain development between childhood and adulthood: Convergence across four longitudinal samples , 2016, NeuroImage.
[86] Sampsa Vanhatalo,et al. A novel measure of reliability in Diffusion Tensor Imaging after data rejections due to subject motion , 2017, NeuroImage.
[87] Sean C. L. Deoni,et al. Quantifying cortical development in typically developing toddlers and young children, 1–6 years of age , 2017, NeuroImage.
[88] Jesper Andersson,et al. Time‐efficient and flexible design of optimized multishell HARDI diffusion , 2017, Magnetic resonance in medicine.
[89] Michael C Neale,et al. The dynamic role of genetics on cortical patterning during childhood and adolescence , 2014, Proceedings of the National Academy of Sciences.
[90] David A. Boas,et al. Dissociation of processing of featural and spatiotemporal information in the infant cortex , 2010, NeuroImage.
[91] John H. Gilmore,et al. Development of human brain cortical network architecture during infancy , 2014, Brain Structure and Function.
[92] Alan C. Evans,et al. Brain connectivity in normally developing children and adolescents , 2016, NeuroImage.
[93] B. Lester,et al. Neuroimaging of children following prenatal drug exposure. , 2009, Seminars in cell & developmental biology.
[94] Jonathan O'Muircheartaigh,et al. Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping , 2012, NeuroImage.
[95] T Metens,et al. Gender Differences in Language and Motor-Related Fibers in a Population of Healthy Preterm Neonates at Term-Equivalent Age: A Diffusion Tensor and Probabilistic Tractography Study , 2011, American Journal of Neuroradiology.
[96] T. Arichi,et al. Localization of spontaneous bursting neuronal activity in the preterm human brain with simultaneous EEG-fMRI , 2017, eLife.
[97] N. Fox,et al. Cognitive Recovery in Socially Deprived Young Children: The Bucharest Early Intervention Project , 2007, Science.
[98] G. Langs,et al. Fetal Cerebral Magnetic Resonance Imaging Beyond Morphology. , 2015, Seminars in ultrasound, CT, and MR.
[99] Marianne C. Reddan,et al. Effect Size Estimation in Neuroimaging. , 2017, JAMA psychiatry.
[100] Wei Gao,et al. Thalamocortical functional connectivity and behavioral disruptions in neonates with prenatal cocaine exposure. , 2016, Neurotoxicology and teratology.
[101] A. Dale,et al. Structural growth trajectories and rates of change in the first 3 months of infant brain development. , 2014, JAMA neurology.
[102] Rebecca C. Knickmeyer,et al. Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain , 2007, The Journal of Neuroscience.
[103] Keith A. Johnson,et al. Stepwise Connectivity of the Modal Cortex Reveals the Multimodal Organization of the Human Brain , 2012, The Journal of Neuroscience.
[104] Rachel J. Steiner,et al. Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y , 2016, Proceedings of the National Academy of Sciences.
[105] A. Alexander,et al. Mapping White Matter Microstructure in the One Month Human Brain , 2017, Scientific Reports.
[106] Alan C. Evans. Networks of anatomical covariance , 2013, NeuroImage.
[107] Martin Styner,et al. White Matter Heritability Using Diffusion Tensor Imaging in Neonatal Brains , 2012, Twin Research and Human Genetics.
[108] F. Jöbsis. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.
[109] S. Baron-Cohen,et al. Neuroscience and Biobehavioral Reviews a Meta-analysis of Sex Differences in Human Brain Structure , 2022 .
[110] Armin Raznahan,et al. How Does Your Cortex Grow? , 2011, The Journal of Neuroscience.
[111] B. J. Casey,et al. Family Income, Parental Education and Brain Structure in Children and Adolescents , 2015, Nature Neuroscience.
[112] R. Kahn,et al. Genes contributing to subcortical volumes and intellectual ability implicate the thalamus , 2014, Human brain mapping.
[113] F. Alkuraya,et al. Severe CNS involvement in WWOX mutations: Description of five new cases , 2015, American journal of medical genetics. Part A.
[114] Anqi Qiu,et al. Diffusion tensor imaging for understanding brain development in early life. , 2015, Annual review of psychology.
[115] Vijay K. Venkatraman,et al. Multimodal imaging of the self-regulating developing brain , 2012, Proceedings of the National Academy of Sciences.
[116] Julia A. Leonard,et al. Neuroanatomical Correlates of the Income-Achievement Gap , 2015, Psychological science.
[117] Ravi S. Menon,et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[118] H. Lagercrantz,et al. The functional architecture of the infant brain as revealed by resting-state fMRI. , 2011, Cerebral cortex.
[119] D. Veltman,et al. Sex Differences in White Matter Microstructure in the Human Brain Predominantly Reflect Differences in Sex Hormone Exposure , 2016, Cerebral cortex.
[120] Martin Styner,et al. Quantitative tract-based white matter heritability in twin neonates , 2015, NeuroImage.
[121] P. Gluckman,et al. Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism influences the association of the methylome with maternal anxiety and neonatal brain volumes , 2015, Development and Psychopathology.
[122] Giovanni Montana,et al. Possible relationship between common genetic variation and white matter development in a pilot study of preterm infants , 2016, Brain and behavior.
[123] Nicholas B. Allen,et al. Development of brain networks and relevance of environmental and genetic factors: A systematic review , 2016, Neuroscience & Biobehavioral Reviews.
[124] Dinggang Shen,et al. Multivariate Longitudinal Shape Analysis of Human Lateral Ventricles during the First Twenty-Four Months of Life , 2014, PloS one.
[125] M. Mesulam,et al. From sensation to cognition. , 1998, Brain : a journal of neurology.
[126] Yee Lian Chew,et al. Network control principles predict neuron function in the Caenorhabditis elegans connectome , 2017, Nature.
[127] Satrajit S. Ghosh,et al. Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience , 2015, Neuron.
[128] G. Dehaene-Lambertz,et al. The early development of brain white matter: A review of imaging studies in fetuses, newborns and infants , 2014, Neuroscience.
[129] Gianlorenzo Fagiolo,et al. Development of BOLD signal hemodynamic responses in the human brain , 2012, NeuroImage.
[130] Wei Gao,et al. Longitudinal Study of the Emerging Functional Connectivity Asymmetry of Primary Language Regions during Infancy , 2016, The Journal of Neuroscience.
[131] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[132] Shaihan J Malik,et al. Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation , 2018, Magnetic resonance in medicine.
[133] Dinggang Shen,et al. Cerebral Cortex doi:10.1093/cercor/bhs043 Cerebral Cortex Advance Access published February 24, 2012 The Synchronization within and Interaction between the Default and Dorsal Attention Networks in Early Infancy , 2022 .
[134] Martin Styner,et al. Implications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age , 2015, Developmental Cognitive Neuroscience.
[135] Guido Gerig,et al. Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age , 2017, Science Translational Medicine.
[136] F. Torres,et al. The EEG of the early premature. , 1985, Electroencephalography and clinical neurophysiology.
[137] Samuel D. Carpenter,et al. Early life stress is associated with default system integrity and emotionality during infancy. , 2015, Journal of child psychology and psychiatry, and allied disciplines.
[138] Mariel G Kozberg,et al. Neurovascular coupling and energy metabolism in the developing brain. , 2016, Progress in brain research.
[139] András Vincze,et al. Myelination in the human hippocampal formation from midgestation to adulthood , 2010, International Journal of Developmental Neuroscience.
[140] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[141] Wei Gao,et al. Functional Network Development During the First Year: Relative Sequence and Socioeconomic Correlations. , 2015, Cerebral cortex.
[142] Yong He,et al. Developmental Connectomics from Infancy through Early Childhood , 2017, Trends in Neurosciences.
[143] C. Lebel,et al. Prepartum and Postpartum Maternal Depressive Symptoms Are Related to Children’s Brain Structure in Preschool , 2016, Biological Psychiatry.
[144] F. Turkheimer,et al. Emergence of resting state networks in the preterm human brain , 2010, Proceedings of the National Academy of Sciences.
[145] J K Smith,et al. Functional Connectivity MR Imaging Reveals Cortical Functional Connectivity in the Developing Brain , 2008, American Journal of Neuroradiology.
[146] Duan Xu,et al. Extensive migration of young neurons into the infant human frontal lobe , 2016, Science.
[147] Milos Judas,et al. Lifespan alterations of basal dendritic trees of pyramidal neurons in the human prefrontal cortex: a layer-specific pattern. , 2008, Cerebral cortex.
[148] T. Sejnowski,et al. A universal scaling law between gray matter and white matter of cerebral cortex. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[149] M. Blumberg,et al. Developing Sensorimotor Systems in Our Sleep , 2015, Current directions in psychological science.
[150] Mara Cercignani,et al. Twenty‐five pitfalls in the analysis of diffusion MRI data , 2010, NMR in biomedicine.
[151] Feng Shi,et al. Functional Brain Parcellations of the Infant Brain and the Associated Developmental Trends , 2018, Cerebral cortex.
[152] J. Gilmore,et al. Structural and Maturational Covariance in Early Childhood Brain Development , 2016, Cerebral cortex.
[153] N. Šestan,et al. The Cellular and Molecular Landscapes of the Developing Human Central Nervous System , 2016, Neuron.
[154] Michael I. Miller,et al. Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection , 2010, NeuroImage.
[155] Martin Styner,et al. Prenatal and Neonatal Brain Structure and White Matter Maturation in Children at High Risk for Schizophrenia AJP in Advance , 2010 .
[156] A. Connelly,et al. Developmental changes in cerebral grey and white matter volume from infancy to adulthood , 2010, International Journal of Developmental Neuroscience.
[157] Martin Styner,et al. r Human Brain Mapping 000:000–000 (2010) r Genetic and Environmental Contributions to Neonatal Brain Structure: A Twin Study* , 2022 .
[158] Alan C. Evans,et al. Imaging structural covariance in the development of intelligence , 2017, NeuroImage.
[159] J. Gilmore,et al. Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age , 2015, The Journal of Neuroscience.
[160] Sabine J. Roza,et al. Infant brain structures, executive function, and attention deficit/hyperactivity problems at preschool age. A prospective study. , 2013, Journal of child psychology and psychiatry, and allied disciplines.
[161] Luke J. Chang,et al. Building better biomarkers: brain models in translational neuroimaging , 2017, Nature Neuroscience.
[162] J. Allsop,et al. Thalamocortical Connectivity Predicts Cognition in Children Born Preterm , 2015, Cerebral cortex.
[163] B. Shahbaba,et al. Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems , 2012, Proceedings of the National Academy of Sciences.
[164] P. Gluckman,et al. Maternal anxiety and infants' hippocampal development: timing matters , 2013, Translational Psychiatry.
[165] Rachel J. Steiner,et al. Antenatal depression, treatment with selective serotonin reuptake inhibitors, and neonatal brain structure: A propensity-matched cohort study , 2016, Psychiatry Research: Neuroimaging.
[166] Dinggang Shen,et al. Brain anatomical networks in early human brain development , 2011, NeuroImage.
[167] K. Lim,et al. Advances in white matter imaging: A review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging , 2006, Neuroscience & Biobehavioral Reviews.
[168] D. Rueckert,et al. Rich-club organization of the newborn human brain , 2014, Proceedings of the National Academy of Sciences.
[169] Martin Wolf,et al. Hemodynamic response to visual stimulation in newborn infants using functional near‐infrared spectroscopy , 2008, Human brain mapping.
[170] Simon B. Eickhoff,et al. Sex differences in the functional connectivity of the amygdalae in association with cortisol , 2016, NeuroImage.
[171] H. Kinney,et al. Sequence of Central Nervous System Myelination in Human Infancy. II. Patterns of Myelination in Autopsied Infants , 1988, Journal of neuropathology and experimental neurology.
[172] Joseph V. Hajnal,et al. Machine-learning to characterise neonatal functional connectivity in the preterm brain , 2016, NeuroImage.
[173] Anqi Qiu,et al. Neonatal neural networks predict children behavioral profiles later in life , 2017, Human brain mapping.
[174] Mingfeng Li,et al. Temporal Specification and Bilaterality of Human Neocortical Topographic Gene Expression , 2014, Neuron.
[175] J. Changeux,et al. A neuronal network model linking subjective reports and objective physiological data during conscious perception , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[176] A. Villringer,et al. Sexual dimorphism in the human brain: evidence from neuroimaging. , 2013, Magnetic resonance imaging.
[177] J. Townsend,et al. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. , 2000, Radiology.
[178] R. Henry,et al. Diffusion Tensor MR Imaging and Fiber Tractography: Technical Considerations , 2008, American Journal of Neuroradiology.
[179] M. Farah. The Neuroscience of Socioeconomic Status: Correlates, Causes, and Consequences , 2017, Neuron.
[180] J. Trojanowski,et al. Human fetal hippocampal development: I. Cytoarchitecture, myeloarchitecture, and neuronal morphologic features , 1996, The Journal of comparative neurology.
[181] Tonya White,et al. What Twin Studies Tell Us About the Heritability of Brain Development, Morphology, and Function: A Review , 2015, Neuropsychology Review.
[182] W. K. Simmons,et al. Interoceptive predictions in the brain , 2015, Nature Reviews Neuroscience.
[183] Tomoki Arichi,et al. Specialization and integration of functional thalamocortical connectivity in the human infant , 2015, Proceedings of the National Academy of Sciences.
[184] Rebecca C. Knickmeyer,et al. Genome-wide association analysis identifies common variants influencing infant brain volumes , 2017, Translational Psychiatry.
[185] E. Bullmore,et al. Imaging structural co-variance between human brain regions , 2013, Nature Reviews Neuroscience.
[186] Karl J. Friston,et al. Canonical Microcircuits for Predictive Coding , 2012, Neuron.
[187] A. Mortazavi,et al. Genome-Wide Mapping of in Vivo Protein-DNA Interactions , 2007, Science.
[188] Alan C. Evans,et al. Trajectories of cortical thickness maturation in normal brain development — The importance of quality control procedures , 2016, NeuroImage.
[189] Fumitaka Homae,et al. Prefrontal cortical involvement in young infants' analysis of novelty. , 2009, Cerebral cortex.
[190] Diederick Stoffers,et al. Sex differences in gray and white matter structure in age-matched unrelated males and females and opposite-sex siblings. , 2013 .
[191] Etienne Burdet,et al. Maturation of Sensori-Motor Functional Responses in the Preterm Brain , 2015, Cerebral cortex.
[192] Daniel C. Alexander,et al. NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.
[193] John H. Gilmore,et al. Correction: Family Poverty Affects the Rate of Human Infant Brain Growth , 2015, PloS one.
[194] B. Pakkenberg,et al. Development of the Cell Population in the Brain White Matter of Young Children. , 2016, Cerebral cortex.
[195] John W. Harwell,et al. Similar patterns of cortical expansion during human development and evolution , 2010, Proceedings of the National Academy of Sciences.
[196] Daniel J. Miller,et al. Prolonged myelination in human neocortical evolution , 2012, Proceedings of the National Academy of Sciences.
[197] N. Tritsch,et al. The origin of spontaneous activity in the developing auditory system , 2007, Nature.
[198] Naoto Hayashi,et al. Sex dimorphism in the white matter: Fractional anisotropy and brain size , 2014, Journal of magnetic resonance imaging : JMRI.
[199] Andrew P. Salzwedel,et al. Prenatal Drug Exposure Affects Neonatal Brain Functional Connectivity , 2015, The Journal of Neuroscience.
[200] M. Belke,et al. Men and women are different: Diffusion tensor imaging reveals sexual dimorphism in the microstructure of the thalamus, corpus callosum and cingulum , 2011, NeuroImage.
[201] G. Dehaene-Lambertz,et al. The Infancy of the Human Brain , 2015, Neuron.
[202] John H. Gilmore,et al. Functional Connectivity of the Infant Human Brain , 2016, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[203] A. Dale,et al. Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.
[204] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[205] I. Fried,et al. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex , 2008, Nature Neuroscience.
[206] Kimberly G. Noble,et al. Socioeconomic status, white matter, and executive function in children , 2016, Brain and behavior.
[207] Rebecca C. Knickmeyer,et al. A Structural MRI Study of Human Brain Development from Birth to 2 Years , 2008, The Journal of Neuroscience.
[208] A. Dale,et al. Through Thick and Thin: a Need to Reconcile Contradictory Results on Trajectories in Human Cortical Development , 2016, Cerebral cortex.
[209] A. Damasio. Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition , 1989, Cognition.
[210] Christos Davatzikos,et al. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.
[211] M. Crair,et al. Retinal waves coordinate patterned activity throughout the developing visual system , 2012, Nature.
[212] Jonathan D. Power,et al. Recent progress and outstanding issues in motion correction in resting state fMRI , 2015, NeuroImage.
[213] R. Turner,et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[214] Martin Styner,et al. Associations between white matter microstructure and infants' working memory , 2013, NeuroImage.
[215] Nenad Sestan,et al. From trans to cis: transcriptional regulatory networks in neocortical development. , 2015, Trends in genetics : TIG.
[216] Dorret I. Boomsma,et al. White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study , 2012, PloS one.
[217] Jelle Veraart,et al. One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI? , 2015, NeuroImage.
[218] B. Amsterdam,et al. Mirror self-image reactions before age two. , 1972, Developmental psychobiology.
[219] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[220] Daniel R Weinberger,et al. Finding the Elusive Psychiatric "Lesion" With 21st-Century Neuroanatomy: A Note of Caution. , 2015, The American journal of psychiatry.
[221] Gustavo Deco,et al. Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior , 2017, NeuroImage.
[222] E. Bullmore,et al. The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks , 2013, The Journal of Neuroscience.
[223] Jed T. Elison,et al. White matter maturation profiles through early childhood predict general cognitive ability , 2014, Brain Structure and Function.
[224] Dan J Stein,et al. Neuroimaging effects of prenatal alcohol exposure on the developing human brain: a magnetic resonance imaging review , 2015, Acta Neuropsychiatrica.
[225] Vijay K. Venkatraman,et al. Neuroanatomical Assessment of Biological Maturity , 2012, Current Biology.
[226] Hongtu Zhu,et al. Impact of Demographic and Obstetric Factors on Infant Brain Volumes: A Population Neuroscience Study , 2016, Cerebral cortex.
[227] Colin Studholme,et al. Cross-Hemispheric Functional Connectivity in the Human Fetal Brain , 2013, Science Translational Medicine.
[228] David A. Boas,et al. Functional activation of the infant cortex during object processing , 2012, NeuroImage.
[229] Abraham Z. Snyder,et al. Prediction of brain maturity in infants using machine-learning algorithms , 2016, NeuroImage.
[230] G. Šimić,et al. Extraordinary neoteny of synaptic spines in the human prefrontal cortex , 2011, Proceedings of the National Academy of Sciences.
[231] Martin Styner,et al. Quantitative tract-based white matter development from birth to age 2years , 2012, NeuroImage.
[232] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[233] Hongtu Zhu,et al. Intersubject Variability of and Genetic Effects on the Brain's Functional Connectivity during Infancy , 2014, The Journal of Neuroscience.
[234] Mark H. Johnson,et al. Selective prefrontal cortex responses to joint attention in early infancy , 2010, Biology Letters.
[235] Hui Zhang,et al. Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models , 2014, NeuroImage.
[236] Peter Fransson,et al. Resting-state networks in the infant brain , 2007, Proceedings of the National Academy of Sciences.
[237] Petronella Anbeek,et al. Brain Volumes at Term-Equivalent Age in Preterm Infants: Imaging Biomarkers for Neurodevelopmental Outcome through Early School Age. , 2016, The Journal of pediatrics.
[238] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[239] P. Huttenlocher,et al. Regional differences in synaptogenesis in human cerebral cortex , 1997, The Journal of comparative neurology.
[240] Wei Gao,et al. Development of Thalamocortical Connectivity during Infancy and Its Cognitive Correlations , 2014, The Journal of Neuroscience.
[241] Katie L McMahon,et al. Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies , 2012, Twin Research and Human Genetics.
[242] Enrico Petretto,et al. Integrative genomics of microglia implicates DLG4 (PSD95) in the white matter development of preterm infants , 2017, Nature Communications.
[243] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[244] Sachio Takashima,et al. Development of myelination in the human fetal and infant cerebrum: A myelin basic protein immunohistochemical study , 1992, Brain and Development.
[245] Deanne K. Thompson,et al. The predictive validity of neonatal MRI for neurodevelopmental outcome in very preterm children. , 2015, Seminars in perinatology.
[246] Yehezkel Ben-Ari,et al. Retinal Waves Trigger Spindle Bursts in the Neonatal Rat Visual Cortex , 2006, The Journal of Neuroscience.
[247] Anqi Qiu,et al. Structural connectivity asymmetry in the neonatal brain , 2013, NeuroImage.