Structural connectivity relates to perinatal factors and functional impairment at 7years in children born very preterm
暂无分享,去创建一个
Andrew Zalesky | Christopher L. Adamson | Marc L. Seal | Richard Beare | Katherine J. Lee | Lex W. Doyle | Peter J. Anderson | Jian Chen | Deanne K. Thompson | Rachel Ellis | Zohra M. Ahmadzai | Claire E. Kelly | Joseph Y.M. Yang | Rodney W. Hunt | Jeanie L.Y. Cheong | Terrie E. Inder | L. Doyle | A. Zalesky | T. Inder | P. Anderson | R. Hunt | M. Seal | Jian Chen | J. Cheong | Katherine J. Lee | R. Beare | C. Kelly | Rachel Ellis | C. Adamson | J. Yang
[1] Emma Muñoz-Moreno,et al. Altered small-world topology of structural brain networks in infants with intrauterine growth restriction and its association with later neurodevelopmental outcome , 2012, NeuroImage.
[2] D. Gadian,et al. Brain morphometry and IQ measurements in preterm children. , 2004, Brain : a journal of neurology.
[3] A. Cavanna,et al. The precuneus: a review of its functional anatomy and behavioural correlates. , 2006, Brain : a journal of neurology.
[4] P. Colditz,et al. Assessment of Structural Connectivity in the Preterm Brain at Term Equivalent Age Using Diffusion MRI and T2 Relaxometry: A Network-Based Analysis , 2013, PloS one.
[5] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[6] J. Volpe. Neurology of the Newborn , 1959, Major problems in clinical pediatrics.
[7] Núria Bargalló,et al. Thalamic changes in a preterm sample with periventricular leukomalacia: correlation with white-matter integrity and cognitive outcome at school age , 2012, Pediatric Research.
[8] Alan C. Evans,et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. , 2009, Cerebral cortex.
[9] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[10] T. Inder,et al. Infection-induced inflammation and cerebral injury in preterm infants. , 2014, The Lancet. Infectious diseases.
[11] Derek K. Jones,et al. Occipito-temporal connections in the human brain. , 2003, Brain : a journal of neurology.
[12] Yong He,et al. Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity Disorder , 2013, The Journal of Neuroscience.
[13] Jukka Jauhiainen,et al. Apparent Diffusion Coefficient on Magnetic Resonance Imaging in Pons and in Corona Radiata and Relation with the Neurophysiologic Measurement and the Outcome in Very Preterm Infants , 2009, Neonatology.
[14] Daniel Rueckert,et al. The influence of preterm birth on the developing thalamocortical connectome , 2013, Cortex.
[15] Gary F. Egan,et al. Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI , 2011, NeuroImage.
[16] O. Sporns,et al. White matter maturation reshapes structural connectivity in the late developing human brain , 2010, Proceedings of the National Academy of Sciences.
[17] Stuart Crozier,et al. Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images , 2012, NeuroImage.
[18] Alan Connelly,et al. SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography , 2015, NeuroImage.
[19] Jamie Zibulsky,et al. Clinical Evaluation of Language Fundamentals, Fourth Edition , 2014 .
[20] Brian B. Avants,et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..
[21] G. S. Wilkinson,et al. Wide Range Achievement Test 4 , 2016 .
[22] Hiroyuki Kidokoro,et al. Neonatal brain abnormalities and memory and learning outcomes at 7 years in children born very preterm , 2014, Memory.
[23] M. Catani,et al. Monkey to human comparative anatomy of the frontal lobe association tracts , 2012, Cortex.
[24] Ming Song,et al. How Does B-Value Affect HARDI Reconstruction Using Clinical Diffusion MRI Data? , 2015, PloS one.
[25] Hugues Duffau,et al. New Insights Into the Anatomic Dissection of the Temporal Stem With Special Emphasis on the Inferior Fronto‐occipital Fasciculus: Implications in Surgical Approach to Left Mesiotemporal and Temporoinsular Structures , 2010, Neurosurgery.
[26] Daniel Rueckert,et al. An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease , 2010, NeuroImage.
[27] T J Cole,et al. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. , 1998, Statistics in medicine.
[28] Edward T. Bullmore,et al. Efficiency and Cost of Economical Brain Functional Networks , 2007, PLoS Comput. Biol..
[29] Deanne K. Thompson,et al. Impaired language abilities and white matter abnormalities in children born very preterm and/or very low birth weight. , 2013, The Journal of pediatrics.
[30] William P. Kanto. Preterm Birth and the Developing Brain , 2004 .
[31] Deanne K. Thompson,et al. The predictive validity of neonatal MRI for neurodevelopmental outcome in very preterm children. , 2015, Seminars in perinatology.
[32] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[33] Núria Bargalló,et al. Corpus Callosum Size and Neuropsychologic Impairment in Adolescents who Were Born Preterm , 2006, Journal of child neurology.
[34] Simon B. Eickhoff,et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data , 2013, NeuroImage.
[35] I. Baron,et al. Test of Everyday Attention for Children; The Thames Valley Test Company, Bury St. Edmunds, Suffolk, UK , 2001, Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence.
[36] Mark Jenkinson,et al. Reducing distortions in diffusion‐weighted echo planar imaging with a dual‐echo blip‐reversed sequence , 2010, Magnetic resonance in medicine.
[37] Christopher P. Hess,et al. A DTI-Based Template-Free Cortical Connectome Study of Brain Maturation , 2013, PloS one.
[38] Kerstin Pannek,et al. Magnetic resonance diffusion tractography of the preterm infant brain: a systematic review , 2014, Developmental medicine and child neurology.
[39] S. Rose,et al. Assessment of the structural brain network reveals altered connectivity in children with unilateral cerebral palsy due to periventricular white matter lesions , 2014, NeuroImage: Clinical.
[40] Daniel Rueckert,et al. Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry , 2006, NeuroImage.
[41] M. Inase,et al. Two movement-related foci in the primate cingulate cortex observed in signal-triggered and self-paced forelimb movements. , 1991, Journal of neurophysiology.
[42] T. Inder,et al. Neonatal MRI to predict neurodevelopmental outcomes in preterm infants. , 2006, The New England journal of medicine.
[43] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[44] Paul M. Thompson,et al. Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults , 2013, NeuroImage.
[45] Anne Synnes,et al. Postnatal infection is associated with widespread abnormalities of brain development in premature newborns , 2012, Pediatric Research.
[46] J. Rose,et al. Neonatal microstructural development of the internal capsule on diffusion tensor imaging correlates with severity of gait and motor deficits , 2007, Developmental medicine and child neurology.
[47] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[48] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[49] E. Bullmore,et al. Annual Research Review: Growth connectomics – the organization and reorganization of brain networks during normal and abnormal development , 2014, Journal of child psychology and psychiatry, and allied disciplines.
[50] L. Rönnqvist,et al. Handedness in preterm born children: A systematic review and a meta-analysis , 2011, Neuropsychologia.
[51] Sandra Rees,et al. The biological basis of injury and neuroprotection in the fetal and neonatal brain , 2011, International Journal of Developmental Neuroscience.
[52] P. Anderson,et al. Prevalence of motor‐skill impairment in preterm children who do not develop cerebral palsy: a systematic review , 2010, Developmental medicine and child neurology.
[53] Alan Connelly,et al. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution , 2007, NeuroImage.
[54] K. Grill-Spector,et al. White matter microstructure on diffusion tensor imaging is associated with conventional magnetic resonance imaging findings and cognitive function in adolescents born preterm , 2012, Developmental medicine and child neurology.
[55] Pauline Watter,et al. Movement Assessment Battery for Children (Movement ABC). , 2006, The Australian journal of physiotherapy.
[56] Gary F. Egan,et al. Corpus callosum alterations in very preterm infants: Perinatal correlates and 2year neurodevelopmental outcomes , 2012, NeuroImage.
[57] J. Neil,et al. New MR Imaging Assessment Tool to Define Brain Abnormalities in Very Preterm Infants at Term , 2013, American Journal of Neuroradiology.
[58] Alan C. Evans,et al. Age- and Gender-Related Differences in the Cortical Anatomical Network , 2009, The Journal of Neuroscience.
[59] Andreas Daffertshofer,et al. Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory , 2010, PloS one.
[60] Deanne K. Thompson,et al. Neonatal brain pathology predicts adverse attention and processing speed outcomes in very preterm and/or very low birth weight children. , 2014, Neuropsychology.
[61] Gary F. Egan,et al. Regional white matter microstructure in very preterm infants: Predictors and 7 year outcomes , 2014, Cortex.
[62] Deanne K. Thompson,et al. Accelerated corpus callosum development in prematurity predicts improved outcome , 2015, Human brain mapping.
[63] 篠川裕子,et al. Test of Visual Perceptual Skills (TVPS) 新しい視知覚評価 , 1989 .
[64] P. Pouwels,et al. A crucial role of altered fractional anisotropy in motor problems of very preterm children. , 2014, European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society.
[65] John O. Willis,et al. Wechsler Abbreviated Scale of Intelligence , 2014 .
[66] O. Sporns,et al. Organization, development and function of complex brain networks , 2004, Trends in Cognitive Sciences.
[67] J. Volpe. Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances , 2009, The Lancet Neurology.
[68] Jean-Philippe Thiran,et al. Structural Brain Connectivity in School-Age Preterm Infants Provides Evidence for Impaired Networks Relevant for Higher Order Cognitive Skills and Social Cognition. , 2015, Cerebral cortex.
[69] D. Rueckert,et al. Rich-club organization of the newborn human brain , 2014, Proceedings of the National Academy of Sciences.
[70] R. Bronen,et al. MR imaging of the temporal stem: anatomic dissection tractography of the uncinate fasciculus, inferior occipitofrontal fasciculus, and Meyer's loop of the optic radiation. , 2004, AJNR. American journal of neuroradiology.
[71] Alan Connelly,et al. MRtrix: Diffusion tractography in crossing fiber regions , 2012, Int. J. Imaging Syst. Technol..
[72] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[73] J. Allsop,et al. Quantification of Deep Gray Matter in Preterm Infants at Term-Equivalent Age Using Manual Volumetry of 3-Tesla Magnetic Resonance Images , 2007, Pediatrics.
[75] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.