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Accueil Tous les numéros Volume 39 / Numéro 10 (Octobre 2023) Med Sci (Paris), 39 10 (2023) 744-753 Références
Open Access
Numéro
Med Sci (Paris)
Volume 39, Numéro 10, Octobre 2023
Page(s) 744 - 753
Section M/S Revues
DOI https://doi.org/10.1051/medsci/2023124
Publié en ligne 9 novembre 2023
  1. Junien C, Panchenko P, Pirola L, et al. Le nouveau paradigme de l’origine de la santé et des maladies (DOHaD). Épigénétique, environnement : preuves et chaînons manquants. Med Sci (Paris) 2016 ; 32 : 27–34. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  2. Storme L, Luton D, Abdennebi-Najar L, et al. DOHaD : conséquences à long terme de la pathologie périnatale. Retard de croissance intra-utérin et prématurité. Med Sci (Paris) 2016 ; 32 : 74–80. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  3. Nobile, S, Di Sipio Morgia, C, Vento, G. Perinatal Origins of Adult Disease and Opportunities for Health Promotion: A Narrative Review. J Pers Med 2022; 12 : 157. [CrossRef] [PubMed] [Google Scholar]
  4. Les 1000 premiers jours, Là où tout commence. https://solidarites-sante.gouv.fr/IMG/pdf/rapport-1000-premiers-jours.pdf. [Google Scholar]
  5. Lammertink F, Vinkers CH, Tataranno ML, et al. Premature Birth and Developmental Programming: Mechanisms of Resilience and Vulnerability. Front Psychiatry 2021; 11 : 531571. [CrossRef] [PubMed] [Google Scholar]
  6. Andersen SL. Exposure to early adversity: Points of cross-species translation that can lead to improved understanding of depression. Dev Psychopathol 2015 ; 27 : 477–491. [CrossRef] [PubMed] [Google Scholar]
  7. Verney C, Gressens P, Vitalis T. anatomie et physiologie du stress traumatique. Med Sci (Paris) 2021; 37 : 1002–10. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  8. National Scientific Council on the Developing Child. Excessive stress disrupts the architecture of the developing brain: Working paper No. 3. (2005/2014). www.developingchild.harvard.edu. [Google Scholar]
  9. Cyrulnik B. Un merveilleux malheur. Paris : Ed. Odile Jacob, 1999 : 237 p. [Google Scholar]
  10. Moisan MP, Le Moal M. Le stress dans tous ses états. Med Sci (Paris) 2012 ; 28 : 612–617. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  11. Huttenlocher PR, Dabholkar AS. Regional differences in synaptogenesis in human cerebral cortex. J Comp Neurol 1997 ; 387 : 167–178. [CrossRef] [PubMed] [Google Scholar]
  12. Bourgeois JP. Synaptogenèses et épigenèses cérébrales. Med Sci (Paris) 2005 ; 21 : 428–433. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  13. Ouyang M, Dubois J, Yu Q, et al. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. Neuroimage 2019 ; 15 : 836–850. [CrossRef] [PubMed] [Google Scholar]
  14. Nelson CA, Gabard-Durnam L. Early adversity and critical Periods: Neurodevelopmental consequences of violating the expectable environment Trends Neurosci 2020; 43 : 133–43. [CrossRef] [Google Scholar]
  15. Bressler SL, Menon V. Large-scale brain networks in cognition: emerging methods and principles Trends. Cogn Sci 2010 ; 14 : 277–290. [Google Scholar]
  16. Porges SW. La théorie polyvagale. Fondements neurophysiologiques des émotions, de l’attachement, de la communication et de l’autorégulation. Paris : ecp Sciences, 2021 : 373 p. [Google Scholar]
  17. Porges SW. Polyvagal Theory: A Science of Safety. Front Integr Neurosci 2022; 16 : 871227. [CrossRef] [PubMed] [Google Scholar]
  18. Pierrehumbert B. Le premier lien. Théorie de l’attachement. Paris : Odile Jacob, 2003 : 416 p. [Google Scholar]
  19. Verney C.. Distribution of the Catecholaminergic neurons in the Central Nervous System of human embryos and fetuses. Microsc Res and Tech 1999 ; 46 : 24–47. [CrossRef] [PubMed] [Google Scholar]
  20. Verney C, Lebrand C, Gaspar P. Changing distribution of monoaminergic markers in the developing human cerebral cortex with special emphasis on the serotonin transporter. anat. Record 2002 ; 267 : 87–93. [Google Scholar]
  21. Kinney HC, Broadbelt KG, Haynes RL, et al. The serotonergic anatomy of the developing human medulla oblongata: implications for pediatric disorders of homeostasis. J Chem Neuroanat 2011 ; 41 : 182–199. [CrossRef] [PubMed] [Google Scholar]
  22. van den Heuvel MI, Thomason ME. Functional connectivity of the human brain in utero. Trends Cogn Sci 2016 ; 20 : 931–939. [CrossRef] [PubMed] [Google Scholar]
  23. Menon V.. Large-scale brain networks and psychopathology: a unifying triple network model Trends. Cogn Sci 2011 ; 15 : 10. [Google Scholar]
  24. Lammertink F, van den Heuvel MP, Hermans EJ, et al. Early-life stress exposure and large-scale covariance brain networks in extremely preterm-born infants. Translational Psychiatry 2022; 12 : 256. [CrossRef] [PubMed] [Google Scholar]
  25. van den Heuvel MI, Turk E, Manning JH. Hubs in the human fetal brain network. Dev Cog Neurosci 2018 ; 30 : 108–115. [CrossRef] [Google Scholar]
  26. Dubois J, Poupon C, Thirion B, et al. Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain. Cerebral Cortex 2016 ; 26 : 2283–2298. [CrossRef] [PubMed] [Google Scholar]
  27. Ross KM, Cole SW, Carroll JE, et al. Elevated pro-inflammatory gene expression in the third trimester of pregnancy in mothers who experienced stressful life events. Brain Behav Immun 2019 ; 76 : 97–103. [CrossRef] [PubMed] [Google Scholar]
  28. Capron LE, Ramchandani PG, Glover V. Maternal prenatal stress and placental gene expression of NR3C1 and HSD11B2: The effects of maternal ethnicity. Psychoneuroendocrinology 2018 ; 87 : 166–172. [CrossRef] [PubMed] [Google Scholar]
  29. Monk C, Feng T, Lee S, et al. Distress during pregnancy: Epigenetic regulation of placenta glucocorticoid-related genes and fetal neurobehavior. Am J Psychiatry 2016 ; 173 : 705–713. [CrossRef] [PubMed] [Google Scholar]
  30. Kundakovic M, Gudsnuk K, Herbstman JB, et al. DNA methylation of BDNF as a biomarker of early-life adversity. Proc Natl Acad Sci U S A 2015 ; 112 : 6807–6813. [CrossRef] [PubMed] [Google Scholar]
  31. Timothy A, Benegal V, Shankarappa B, et al. Influence of early adversity on cortisol reactivity, SLC6A4 methylation and externalizing behavior in children of alcoholics. Prog Neuropsychopharmacol Biol Psychiatry 2019 ; 94 : 109649. [CrossRef] [PubMed] [Google Scholar]
  32. Walter MH, Abele H, Plappert CF. The Role of Oxytocin and the Effect of Stress During Childbirth: Neurobiological Basics and Implications for Mother and Child. Front Endocrinol 2021; 12 : 742236. [CrossRef] [PubMed] [Google Scholar]
  33. Busuito A, Quigley KM, Moore GA, et al. In sync: Physiological correlates of behavioral synchrony in infants and mothers. Dev Psychol 2019 ; 55 : 1034–1045. [CrossRef] [PubMed] [Google Scholar]
  34. Field T, Diego M, Hernandez-Reif M. Prematurity and potential predictors. Int J Neurosci 2008 ; 118 : 277–289. [CrossRef] [PubMed] [Google Scholar]
  35. Tronick E, Als H, Adamson L, et al. The infant’s response to entrapment between contradictory messages in face-to-face interaction. J Am Acad Child Psychiatry 1978 ; 17 : 1–13. [CrossRef] [PubMed] [Google Scholar]
  36. Cismaru AL, Gui L, Vasung L, et al. Altered amygdala development and fear processing in prematurely born infants. Front Neuroanatomy 2016 ; 10 : 55. [CrossRef] [Google Scholar]
  37. Humphreys KL, Camacho MC, Roth MC, et al. Prenatal stress exposure and multimodal assessment of amygdala-medial prefrontal cortex connectivity in infants. Dev Cogn Neurosci 2020; 46 : 100877. [CrossRef] [PubMed] [Google Scholar]
  38. Brady RG, Rogers CE, Prochaska T, et al. The Effects of Prenatal Exposure to Neighborhood Crime on Neonatal Functional Connectivity. Biol Psychiatry 2022; 92 : 139–48. [CrossRef] [PubMed] [Google Scholar]
  39. Junien C, Panchenko P, Fneich S, et al. Épigénétique et réponses transgénérationnelles aux impacts de l’environnement. Des faits aux lacunes. Med Sci (Paris) 2016 ; 32 : 35–44. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  40. Cynulnik B. Des âmes et des saisons. Paris : Odile Jacob, 2021 : 297 p. [Google Scholar]
  41. Kaiser RH, Clegg R, Goer F. Childhood Stress, Grown-up Brain Networks: Corticolimbic Correlates of Threat-related Early Life Stress and Adult Stress. Response Psychol Med 2018 ; 48 : 1157–1166. [CrossRef] [PubMed] [Google Scholar]
  42. Ramaswamy VV, Bandyopadhyay T, Nanda D, et al. Assessment of postnatal corticosteroids for the prevention of bronchopulmonary dysplasia in preterm neonates: A systematic review and network meta-analysis.et al. JAMA Pediatr 2021; 1 :175. [Google Scholar]
  43. Indrio F, Martini S, Francavilla R, et al. Epigenetic Matters: The Link between Early Nutrition, Microbiome, and Long-term Health Development. Front Pediatr 2017 ; 5 : 178. [CrossRef] [PubMed] [Google Scholar]
  44. Aita M, De Clifford Faugère G, Lavallée A, et al. Effectiveness of interventions on early neurodevelopment of preterm infants: a systematic review and meta-analysis. BMC Pediatrics 2021; 21 : 210. [CrossRef] [PubMed] [Google Scholar]
  45. Jefferies AL. Société canadienne de pédiatrie, Comité d’étude du foetus et du nouveau-né. La méthode kangourou pour le nourrisson prématuré et sa famille. Paediatrics & Child Health 2012 ; 17 : 144–146. [CrossRef] [Google Scholar]
  46. Moberg KU, Handlin L, Petersson M. Neuroendocrine mechanisms involved in the physiological effects caused by skin-to-skin contact – With a particular focus on the oxytocinergic system. Infant Behav and Dev 2020; 61 : 101482. [CrossRef] [Google Scholar]
  47. der Kolk BV. Le corps n’oublie rien; Le cerveau, l’esprit et le corps dans la guérison du traumatisme. Paris: Albin Michel, 2018 : 590 p [Google Scholar]
  48. Gourion D. Méthode anti-stress. Paris : Ed. Marabout, 2022 : 224 p. [Google Scholar]

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