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Altered functional network connectivity relates to motor development in children born very preterm

Wheelock, M.D., Austin, N.C., Bora, S., Eggebrecht, A.T., Melzer, T.R., Woodward, L.J., Smyser, C.D.·2018·NeuroImage

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  1. Allin, 2001, Cognitive and motor function and the size of the cerebellum in adolescents born very pre-term, Brain, 124, 60, 10.1093/brain/124.1.60 · DOI
  2. Anderson, 2014, Neuropsychological outcomes of children born very preterm, Semin. Fetal Neonatal Med., 19, 90, 10.1016/j.siny.2013.11.012 · DOI
  3. Ball, 2012, The effect of preterm birth on thalamic and cortical development, Cerebr. Cortex, 22, 1016, 10.1093/cercor/bhr176 · DOI
  4. Beck, 2010, The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity, Bull. World Health Organ., 88, 31, 10.2471/BLT.08.062554 · DOI · Paper page
  5. Boardman, 2006, Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry, Neuroimage, 32, 70, 10.1016/j.neuroimage.2006.03.029 · DOI
  6. Boardman, 2010, A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm, Neuroimage, 52, 409, 10.1016/j.neuroimage.2010.04.261 · DOI
  7. Bos, 2013, Development of fine motor skills in preterm infants, Dev. Med. Child Neurol., 55, 1, 10.1111/dmcn.12297 · DOI
  8. Bouyssi-Kobar, 2016, Third trimester brain growth in preterm infants compared with in utero healthy fetuses, Pediatrics, 138, 10.1542/peds.2016-1640 · DOI
  9. Brown, 2009, The movement assessment battery for children--second edition (MABC-2): a review and critique, Phys. Occup. Ther. Pediatr., 29, 86, 10.1080/01942630802574908 · DOI
  10. Burton, 2009, Functional connectivity for somatosensory and motor cortex in spastic diplegia, Somatosens. Mot. Res., 26, 90, 10.3109/08990220903335742 · DOI
  11. Cole, 2013, Multi-task connectivity reveals flexible hubs for adaptive task control, Nat. Neurosci., 16, 1348, 10.1038/nn.3470 · DOI · Paper page
  12. Constable, 2013, A left cerebellar pathway mediates language in prematurely-born young adults, Neuroimage, 64, 371, 10.1016/j.neuroimage.2012.09.008 · DOI
  13. Cooke, 2004, Health, lifestyle, and quality of life for young adults born very preterm, Arch. Dis. Child., 89, 201, 10.1136/adc.2003.030197 · DOI
  14. Damaraju, 2010, Resting-state functional connectivity differences in premature children, Front. Syst. Neurosci., 4
  15. Darlow, 2013, Psychosocial outcomes of young adults born very low birth weight, Pediatrics, 132, e1521, 10.1542/peds.2013-2024 · DOI
  16. Dayan, 2011, Neuroplasticity subserving motor skill learning, Neuron, 72, 443, 10.1016/j.neuron.2011.10.008 · DOI · Paper page
  17. de Kieviet, 2009, Motor development in very preterm and very low-birth-weight children from birth to adolescence, J. Am. Med. Assoc., 302, 2235, 10.1001/jama.2009.1708 · DOI
  18. Dosenbach, 2008, A dual-networks architecture of top-down control, Trends Cognit. Sci., 12, 99, 10.1016/j.tics.2008.01.001 · DOI · Paper page
  19. Fischi-Gomez, 2015, Structural brain connectivity in school-age preterm infants provides evidence for impaired networks relevant for higher order cognitive skills and social cognition, Cerebr. Cortex, 25, 2793, 10.1093/cercor/bhu073 · DOI
  20. Forman, 1995, Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold, Magn. Reson. Imaging, 33, 636
  21. Fox, 2007, Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging, Nat. Rev. Neurosci., 8, 700, 10.1038/nrn2201 · DOI · Paper page
  22. Friston, 1994, Assessing the significance of focal activations using their spatial extent, Hum. Brain Mapp., 1, 214, 10.1002/hbm.460010306 · DOI · Paper page
  23. Gratton, 2018, Emergent functional network effects in Parkinson disease, Cerebr. Cortex
  24. Hardwick, 2013, A quantitative meta-analysis and review of motor learning in the human brain, Neuroimage, 67, 283, 10.1016/j.neuroimage.2012.11.020 · DOI
  25. Herzmann, 2018, Cerebellar functional connectivity in term- and very preterm-born infants, Cerebr. Cortex
  26. Inder, 2003, Defining the nature of the cerebral abnormalities in the premature infant: a qualitative magnetic resonance imaging study, J. Pediatr., 143, 171, 10.1067/S0022-3476(03)00357-3 · DOI
  27. Khatri, 2012, Ten years of pathway analysis: current approaches and outstanding challenges, PLoS Comput. Biol., 8, 10.1371/journal.pcbi.1002375 · DOI
  28. Kim, 2017, Inhibitory basal ganglia inputs induce excitatory motor signals in the thalamus, Neuron, 95, 1181, 10.1016/j.neuron.2017.08.028 · DOI
  29. Lancaster, 1995, A modality-independent approach to spatial normalization of tomographic images of the human brain, Hum. Brain Mapp., 3, 209, 10.1002/hbm.460030305 · DOI
  30. Larroque, 2008, Neurodevelopmental disabilities and special care of 5-year-old children born before 33 weeks of gestation (the EPIPAGE study): a longitudinal cohort study, Lancet, 371, 813, 10.1016/S0140-6736(08)60380-3 · DOI
  31. Lax, 2013, Neuroanatomical consequences of very preterm birth in middle childhood, Brain Struct. Funct., 218, 575, 10.1007/s00429-012-0417-2 · DOI
  32. Lean, 2017, Attention and regional gray matter development in very preterm children at age 12 years, J. Int. Neuropsychol. Soc., 23, 539, 10.1017/S1355617717000388 · DOI
  33. Lee, 2011, Motor pathway injury in patients with periventricular leucomalacia and spastic diplegia, Brain, 134, 1199, 10.1093/brain/awr021 · DOI
  34. Loh, 2017, Neonatal basal ganglia and thalamic volumes: very preterm birth and 7-year neurodevelopmental outcomes, Pediatr. Res., 10.1038/pr.2017.161 · DOI
  35. Ma, 2011, Changes occur in resting state network of motor system during 4 weeks of motor skill learning, Neuroimage, 58, 226, 10.1016/j.neuroimage.2011.06.014 · DOI
  36. Marrus, 2017, Walking, gross motor development, and brain functional connectivity in infants and toddlers, Cerebr. Cortex, 28, 750, 10.1093/cercor/bhx313 · DOI
  37. Myers, 2010, Functional connectivity to a right hemisphere language center in prematurely born adolescents, Neuroimage, 51, 1445, 10.1016/j.neuroimage.2010.03.049 · DOI
  38. Rha, 2012, Comparing quantitative tractography metrics of motor and sensory pathways in children with periventricular leukomalacia and different levels of gross motor function, Neuroradiology, 54, 615, 10.1007/s00234-011-0996-2 · DOI
  39. Rinne, 2018, Motor dexterity and strength depend upon integrity of the attention-control system, Proc. Natl. Acad. Sci. U. S. A., 115, E536, 10.1073/pnas.1715617115 · DOI
  40. Rivals, 2007, Enrichment or depletion of a GO category within a class of genes: which test?, Bioinformatics, 23, 401, 10.1093/bioinformatics/btl633 · DOI
  41. Rogers, 2016, Regional white matter development in very preterm infants: perinatal predictors and early developmental outcomes, Pediatr. Res., 79, 87, 10.1038/pr.2015.172 · DOI
  42. Rogers, 2017, Neonatal amygdala functional connectivity at rest in healthy and preterm infants and early internalizing symptoms, J. Am. Acad. Child Adolesc. Psychiatry, 56, 157, 10.1016/j.jaac.2016.11.005 · DOI
  43. Rosvall, 2008, Maps of random walks on complex networks reaveal community structure, Proc. Natl. Acad. Sci. Unit. States Am., 105, 1118, 10.1073/pnas.0706851105 · DOI · Paper page
  44. Scheinost, 2015, Cerebral lateralization is protective in the very prematurely born, Cerebr. Cortex, 25, 1858, 10.1093/cercor/bht430 · DOI
  45. Schulz, 2011, Structural validity of the Movement ABC-2 test: factor structure comparisons across three age groups, Res. Dev. Disabil., 32, 1361, 10.1016/j.ridd.2011.01.032 · DOI
  46. Smits-Engelsman, 2008, Interrater reliability of the movement assessment battery for children, Phys. Ther., 88, 286, 10.2522/ptj.20070068 · DOI
  47. Smyser, 2010, Longitudinal analysis of neural network development in preterm infants, Cerebr. Cortex, 20, 2852, 10.1093/cercor/bhq035 · DOI · Paper page
  48. Smyser, 2013, Effects of white matter injury on resting state fMRI measures in prematurely born infants, PLoS One, 8, 10.1371/journal.pone.0068098 · DOI
  49. Smyser, 2016, Resting-state network complexity and magnitude are reduced in prematurely born infants, Cerebr. Cortex, 26, 322, 10.1093/cercor/bhu251 · DOI
  50. Sripada, 2015, Visual-motor deficits relate to altered gray and white matter in young adults born preterm with very low birth weight, Neuroimage, 109, 493, 10.1016/j.neuroimage.2015.01.019 · DOI
  51. Taubert, 2011, Long-term effects of motor training on resting-state networks and underlying brain structure, Neuroimage, 57, 1492, 10.1016/j.neuroimage.2011.05.078 · DOI
  52. Thomas, 2017, Fine motor skill mediates visual memory ability with microstructural neuro-correlates in cerebellar peduncles in prematurely born adolescents, Cerebr. Cortex, 27, 322
  53. Thompson, 2016, Structural connectivity relates to perinatal factors and functional impairment at 7years in children born very preterm, Neuroimage, 134, 328, 10.1016/j.neuroimage.2016.03.070 · DOI
  54. Thompson, 2012, Corpus callosum alterations in very preterm infants: perinatal correlates and 2 year neurodevelopmental outcomes, Neuroimage, 59, 3571, 10.1016/j.neuroimage.2011.11.057 · DOI
  55. Thompson, 2014, Regional white matter microstructure in very preterm infants: predictors and 7 year outcomes, Cortex, 52, 60, 10.1016/j.cortex.2013.11.010 · DOI
  56. Toulmin, 2015, Specialization and integration of functional thalamocortical connectivity in the human infant, Proc. Natl. Acad. Sci. U. S. A., 112, 6485, 10.1073/pnas.1422638112 · DOI
  57. Visser, 2005, Role of the basal ganglia in balance control, Neural Plast., 12, 161, 10.1155/NP.2005.161 · DOI
  58. Volpe, 2009, Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances, Lancet Neurol., 8, 110, 10.1016/S1474-4422(08)70294-1 · DOI
  59. Vossel, 2014, Dorsal and ventral attention systems: distinct neural circuits but collaborative roles, Neuroscientist, 20, 150, 10.1177/1073858413494269 · DOI · Paper page
  60. Wang, 2014, Altered microstructural connectivity of the superior and middle cerebellar peduncles are related to motor dysfunction in children with diffuse periventricular leucomalacia born preterm: a DTI tractography study, Eur. J. Radiol., 83, 997, 10.1016/j.ejrad.2014.03.010 · DOI
  61. White, 2014, Dysconnectivity of neurocognitive networks at rest in very-preterm born adults, Neuroimage Clin., 4, 352, 10.1016/j.nicl.2014.01.005 · DOI
  62. Wilke, 2014, Specific impairment of functional connectivity between language regions in former early preterms, Hum. Brain Mapp., 35, 3372, 10.1002/hbm.22408 · DOI
  63. Williams, 2010, Prevalence of motor-skill impairment in preterm children who do not develop cerebral palsy: a systematic review, Dev. Med. Child Neurol., 52, 232, 10.1111/j.1469-8749.2009.03544.x · DOI
  64. Woodward, 2006, Neonatal MRI to predict neurodevelopmental outcomes in preterm infants, N. Engl. J. Med., 355, 685, 10.1056/NEJMoa053792 · DOI
  65. Xiong, 2009, Long-term motor training induced changes in regional cerebral blood flow in both task and resting states, Neuroimage, 45, 75, 10.1016/j.neuroimage.2008.11.016 · DOI
  66. Young, 2015, Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children, Neuroimage, 111, 360, 10.1016/j.neuroimage.2015.02.030 · DOI

Cited by

Metadata

Authors
Wheelock, M. D., Austin, N. C., Bora, S., Eggebrecht, A. T., Melzer, T. R., Woodward, L. J., & Smyser, C. D.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2018-12
Volume
183
Pages
574-583
ISSN
1053-8119
Cited by
65
References
11
Language
en
Funders
  • National Institutes of Health (T32 MH100019, K02 NS089852, K01 MH103594)
  • Neurological Foundation of New Zealand
  • Health Research Council of New Zealand (11–283)

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