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Research Article

Longitudinal associations between mother-child attachment security in toddlerhood and white matter microstructure in late childhood: a preliminary investigation

ORCID Icon, , , ORCID Icon & ORCID Icon
Pages 291-310 | Received 16 Mar 2022, Accepted 20 Jan 2023, Published online: 15 Feb 2023

References

  • Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of attachment: A psychological study of the strange situation (Lawrence Erlbaum).
  • Alexander, A. L., Hurley, S. A., Samsonov, A. A., Adluru, N., Hosseinbor, A. P., Mossahebi, P., Tromp, D. P. M., Zakszewski, E., & Field, A. S. (2011). Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains. Brain Connectivity, 1(6), 423–446. https://doi.org/10.1089/brain.2011.0071
  • Andersson, J. L. R., Graham, M. S., Zsoldos, E., & Sotiropoulos, S. N. (2016). Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage, 141, 556–572. https://doi.org/10.1016/j.neuroimage.2016.06.058
  • Andersson, J. L. R., Jenkinson, M., & Smith, S. (2007). Non-linear registration aka Spatial normalisation. FMRIB Technial Report TR07JA2.
  • Andersson, J. L. R., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage, 125, 1063–1078. https://doi.org/10.1016/j.neuroimage.2015.10.019
  • Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007). Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? NeuroImage, 34(1), 144–155. https://doi.org/10.1016/j.neuroimage.2006.09.018
  • Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic resonance in medicine, 50(5), 1077–1088. https://doi.org/10.1002/mrm.10609
  • Belsky, J., & de Haan, M. (2011). Annual research review: Parenting and children’s brain development: The end of the beginning. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 52(4), 409–428. https://doi.org/10.1111/j.1469-7610.2010.02281.x
  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/J.2517-6161.1995.TB02031.X
  • Bernier, A., Beauchamp, M. H., Carlson, S. M., & Lalonde, G. (2015). A secure base from which to regulate: Attachment security in toddlerhood as a predictor of executive functioning at school entry. Developmental Psychology, 51(9), 1177–1189. https://doi.org/10.1037/dev0000032
  • Bernier, A., Beauchamp, M. H., & Cimon-Paquet, C. (2020). From early relationships to preacademic knowledge: A sociocognitive developmental cascade to school readiness. Child Development, 91(1), e134–145. https://doi.org/10.1111/cdev.13160
  • Bernier, A., Calkins, S. D., & Bell, M. A. (2016). Longitudinal associations between the quality of mother–infant interactions and brain development across infancy. Child Development, 87(4), 1159–1174. https://doi.org/10.1111/cdev.12518
  • Bernier, A., Dégeilh, F., Leblanc, É., Daneault, V., Bailey, H. N., & Beauchamp, M. H. (2019). Mother-infant interaction and child brain morphology: A multidimensional approach to maternal sensitivity. Infancy, 24(2), 120–138. https://doi.org/10.1111/infa.12270
  • Biro, S., Peltola, M. J., Huffmeijer, R., Alink, L. R. A., Bakermans-Kranenburg, M. J., & Van IJzendoorn, M. H. (2021). Frontal EEG asymmetry in infants observing separation and comforting events: The role of infants’ attachment relationship. Developmental cognitive neuroscience, 48, 100941. https://doi.org/10.1016/J.DCN.2021.100941
  • Cadman, T., Diamond, P. R., & Fearon, P. (2018). Reassessing the validity of the attachment Q-sort: An updated meta-analysis. Infant and Child Development, 27(1), e2034. https://doi.org/10.1002/icd.2034
  • Calabro, F. (2019). Development trajectory of functional connectivity though adolescence. Organization of Human Brain Mapping Annual Meeting Roma, Italy.
  • Cassidy, J., & Shaver, P. R. (Eds.). (2016). Handbook of attachment: Theory, research, and clinical applications (3rd ed.). Guilford Press.
  • Cicchetti, D. (Ed.). (2016). Developmental psychology: Vol. Two (3rd ed.). John Wiley & Sons.
  • Cooke, J. E., Kochendorfer, L. B., Stuart-Parrigon, K. L., Koehn, A. J., & Kerns, K. A. (2019). Parent-child attachment and children’s experience and regulation of emotion: A meta-analytic review. Emotion, 19(6), 1103–1126.( Washington, D.C.) https://doi.org/10.1037/EMO0000504
  • Cortes Hidalgo, A. P., Muetzel, R., Luijk, M. P. C. M., Bakermans-Kranenburg, M. J., el Marroun, H., Vernooij, M. W., Van IJzendoorn, M. H., White, T., & Tiemeier, H. (2019). Observed infant-parent attachment and brain morphology in middle childhood– a population-based study. Developmental cognitive neuroscience, 40, 100724. https://doi.org/10.1016/j.dcn.2019.100724
  • Dégeilh, F., Bernier, A., Leblanc, É., Daneault, V., & Beauchamp, M. H. (2018). Quality of maternal behaviour during infancy predicts functional connectivity between default mode network and salience network 9 years later. Developmental cognitive neuroscience, 34, 53–62. https://doi.org/10.1016/j.dcn.2018.06.003
  • Delis, C. D., Kaplan, E., & Kramer, J. H. (2001). Delis–Kaplan Executive Function System (D-KEFS): Examiner’s manual. The Psychological Corporation.
  • Deneault, A. -A., Bakermans-Kranenburg, M. J., Groh, A. M., Fearon, P. R. M., & Madigan, S. (2021). Child-father attachment in early childhood and behavior problems: A meta-analysis. New Directions for Child and Adolescent Development, 2021(180), 4–66. https://doi.org/10.1002/CAD.20434
  • de Wolff, M. S., & Van IJzendoorn, M. H. (1997). Sensitivity and attachment: A meta-analysis on parental antecedents of infant attachment. Child Development, 68(4), 571–591. https://doi.org/10.1111/j.1467-8624.1997.tb04218.x
  • Enders, C. K. (2010). Applied missing data analysis. Guilford Press.
  • Fearon, R. P., Bakermans-Kranenburg, M. J., Van IJzendoorn, M. H., Lapsley, A. -M., & Roisman, G. I. (2010). The significance of insecure attachment and disorganization in the development of children’s externalizing behavior: A meta-analytic study. Child Development, 81(2), 435–456. https://doi.org/10.1111/j.1467-8624.2009.01405.x
  • Fraley, R. C., & Spieker, S. J. (2003). Are infant attachment patterns continuously or categorically distributed? A taxometric analysis of strange situation behavior. Developmental Psychology, 39(3), 387–404. https://doi.org/10.1037/0012-1649.39.3.387
  • Geyer, C. (1992). Practical Markov chain monte carlo. Statistical Science, 7(4), 473–483. https://doi.org/10.1214/ss/1177011137
  • Golden, C. J. (1978). Stroop color and word test: A manual for clinical and experimental uses. Stoelting Company.
  • Groh, A. M., Fearon, R. P., Bakermans-Kranenburg, M. J., Van IJzendoorn, M. H., Steele, R. D., & Roisman, G. I. (2014). The significance of attachment security for children’s social competence with peers: A meta-analytic study. Attachment & Human Development, 16(2), 103–136. https://doi.org/10.1080/14616734.2014.883636
  • Groh, A. M., Fearon, R. M. P., Van IJzendoorn, M. H., Bakermans-Kranenburg, M. J., & Roisman, G. I. (2017). Attachment in the early life course: Meta-analytic evidence for its role in socioemotional development. Child Development Perspectives, 11(1), 70–76. https://doi.org/10.1111/cdep.12213
  • Groh, A. M., Propper, C., Mills-Koonce, R., Moore, G. A., Calkins, S., & Cox, M. (2019). Mothers’ physiological and affective responding to infant distress: Unique antecedents of avoidant and resistant attachments. Child Development, 90(2), 489–505. https://doi.org/10.1111/CDEV.12912
  • Hane, A. A., Henderson, H. A., Reeb-Sutherland, B. C., & Fox, N. A. (2010). Ordinary variations in human maternal caregiving in infancy and biobehavioral development in early childhood: A follow-up study. Developmental Psychobiology, 52(6), 558–567. https://doi.org/10.1002/DEV.20461
  • Hanford, L. C., Schmithorst, V. J., Panigrahy, A., Lee, V., Ridley, J., Bonar, L., Versace, A., Hipwell, A. E., & Phillips, M. L. (2018). The impact of caregiving on the association between infant emotional behavior and resting state neural network functional topology. Frontiers in Psychology, 9(OCT), 1968. https://doi.org/10.3389/fpsyg.2018.01968
  • Hasan, K. M. (2006). Diffusion tensor eigenvalues or both mean diffusivity and fractional anisotropy are required in quantitative clinical diffusion tensor MR reports: Fractional anisotropy alone is not sufficient. Radiology, 239(2), 611–613. https://doi.org/10.1148/radiol.2392051172
  • Herting, M. M., Maxwell, E. C., Irvine, C., & Nagel, B. J. (2012). The impact of sex, puberty, and hormones on white matter microstructure in adolescents. Cerebral Cortex, 22(9), 1979–1992. https://doi.org/10.1093/cercor/bhr246
  • Ilyka, D., Johnson, M. H., & Lloyd-Fox, S. (2021). Infant social interactions and brain development: A systematic review. Neuroscience & Biobehavioral Reviews, 130, 448–469. https://doi.org/10.1016/J.NEUBIOREV.2021.09.001
  • Kok, R., Prinzie, P., Bakermans-Kranenburg, M. J., Verhulst, F. C., White, T., Tiemeier, H., & Van IJzendoorn, M. H. (2017). Socialization of prosocial behavior: Gender differences in the mediating role of child brain volume. Child Neuropsychology, 24(6), 1–11. https://doi.org/10.1080/09297049.2017.1338340
  • Kok, R., Thijssen, S., Bakermans-Kranenburg, M. J., Jaddoe, V. W. V., Verhulst, F. C., White, T., Van IJzendoorn, M. H., & Tiemeier, H. (2015). Normal variation in early parental sensitivity predicts child structural brain development. Journal of the American Academy of Child and Adolescent Psychiatry, 54(10), 824–831.e1. https://doi.org/10.1016/j.jaac.2015.07.009
  • Krogsrud, S. K., Fjell, A. M., Tamnes, C. K., Grydeland, H., Mork, L., Due-Tønnessen, P., Bjørnerud, A., Sampaio-Baptista, C., Andersson, J., Johansen-Berg, H., & Walhovd, K. B. (2016). Changes in white matter microstructure in the developing brain—a longitudinal diffusion tensor imaging study of children from 4 to 11 years of age. NeuroImage, 124, 473–486. https://doi.org/10.1016/j.neuroimage.2015.09.017
  • Laranjo, J., Bernier, A., Meins, E., & Carlson, S. M. (2014). The roles of maternal mind-mindedness and infant security of attachment in predicting preschoolers’ understanding of visual perspective taking and false belief. Journal of Experimental Child Psychology, 125, 48–62. https://doi.org/10.1016/j.jecp.2014.02.005
  • Lebel, C., & Deoni, S. (2018). The development of brain white matter microstructure. NeuroImage, 182, 207–218. https://doi.org/10.1016/j.neuroimage.2017.12.097
  • Lebel, C., Treit, S., & Beaulieu, C. (2017, July). A review of diffusion MRI of typical white matter development from early childhood to young adulthood. NMR in biomedicine, 32(4), 1–23. https://doi.org/10.1002/nbm.3778
  • Leblanc, É., Dégeilh, F., Beauchamp, M. H., & Bernier, A. (2022). Disorganized attachment behaviors in infancy as predictors of brain morphology and peer rejection in late childhood. Cognitive, Affective & Behavioral Neuroscience, 22(4), 833–848. https://doi.org/10.3758/S13415-022-00987-0
  • Leblanc, É., Dégeilh, F., Daneault, V., Beauchamp, M. H., & Bernier, A. (2017). Attachment security in infancy: A preliminary study of prospective links to brain morphometry in late childhood. Frontiers in Psychology, 8(DEC). https://doi.org/10.3389/fpsyg.2017.02141
  • Lee, A., Poh, J. S., Wen, D. J., Tan, H. M., Chong, Y. -S., Tan, K. H., Gluckman, P. D., Fortier, M. V., Rifkin-Graboi, A., & Qiu, A. (2019). Maternal care in infancy and the course of limbic development. Developmental cognitive neuroscience, 40, 100714. https://doi.org/10.1016/j.dcn.2019.100714
  • Luby, J. L., Barch, D. M., Belden, A., Gaffrey, M. S., Tillman, R., Babb, C., Nishino, T., Suzuki, H., & Botteron, K. N. (2012). Maternal support in early childhood predicts larger hippocampal volumes at school age. Proceedings of the National Academy of Sciences of the United States of America, 109(8), 2854–2859. https://doi.org/10.1073/pnas.1118003109
  • Luby, J. L., Belden, A., Harms, M. P., Tillman, R., & Barch, D. M. (2016). Preschool is a sensitive period for the influence of maternal support on the trajectory of hippocampal development. Proceedings of the National Academy of Sciences, 113(20), 5742–5747. https://doi.org/10.1073/pnas.1601443113
  • Lyons-Ruth, K., Pechtel, P., Yoon, S. A., Anderson, C. M., & Teicher, M. H. (2016). Disorganized attachment in infancy predicts greater amygdala volume in adulthood. Behavioural Brain Research, 308, 83–93. https://doi.org/10.1016/j.bbr.2016.03.050
  • Madigan, S., Brumariu, L. E., Villani, V., Atkinson, L., & Lyons-Ruth, K. (2016). Representational and questionnaire measures of attachment: A meta-analysis of relations to child internalizing and externalizing problems. Psychological Bulletin, 142(4), 367–399. https://doi.org/10.1037/bul0000029
  • Matte-Gagné, C., Bernier, A., Sirois, M. -S., Lalonde, G., & Hertz, S. (2018). Attachment security and developmental patterns of growth in executive functioning during early elementary school. Child Development, 89(3), e167–182. https://doi.org/10.1111/cdev.12807
  • Moutsiana, C., Johnstone, T., Murray, L., Fearon, P., Cooper, P. J., Pliatsikas, C., Goodyer, I., & Halligan, S. L. (2015). Insecure attachment during infancy predicts greater amygdala volumes in early adulthood. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 56(5), 540–548. https://doi.org/10.1111/jcpp.12317
  • Noble, K. G., Korgaonkar, M. S., Grieve, S. M., & Brickman, A. M. (2013). Higher education is an age-independent predictor of white matter integrity and cognitive control in late adolescence. Developmental science, 16(5), 653–664. https://doi.org/10.1111/desc.12077
  • Pallini, S., Baiocco, R., Schneider, B. H., Madigan, S., & Atkinson, L. (2014). Early child–parent attachment and peer relations: A meta-analysis of recent research. Journal of Family Psychology, 28(1), 118–123. https://doi.org/10.1037/a0035736
  • Pallini, S., Chirumbolo, A., Morelli, M., Baiocco, R., Laghi, F., & Eisenberg, N. (2018). The relation of attachment security status to effortful self-regulation: A meta-analysis. Psychological Bulletin, 144(5), 501–531. https://doi.org/10.1037/BUL0000134
  • Pallini, S., Morelli, M., Chirumbolo, A., Baiocco, R., Laghi, F., & Eisenberg, N. (2019). Attachment and attention problems: A meta-analysis. Clinical Psychology Review, 74, 101772. https://doi.org/10.1016/J.CPR.2019.101772
  • Pederson, D. R., & Moran, G. (1995). A categorical description of infant-mother relationships in the home and its relation to Q-sort measures of infant-mother interaction. Monographs of the Society for Research in Child Development, 60(2/3), 111. https://doi.org/10.2307/1166174
  • Perone, S., & Gartstein, M. A. (2019). Relations between dynamics of parent-infant interactions and baseline EEG functional connectivity. Infant Behavior & Development, 57, 101344. https://doi.org/10.1016/J.INFBEH.2019.101344
  • Puhlmann, L. M., Derome, M., Morosan, L., Kilicel, D., Vrtička, P., & Debbané, M. (2021). Longitudinal associations between self-reported attachment dimensions and neurostructural development from adolescence to early adulthood. Attachment & Human Development. 1–19. https://doi.org/10.1080/14616734.2021.1993628
  • Rifkin-Graboi, A., Kong, L., Sim, L. W., Sanmugam, S., Broekman, B. F. P., Chen, H., Wong, E., Kwek, K., Saw, S. -M., Chong, Y. -S., Gluckman, P. D., Fortier, M. V., Pederson, D., Meaney, M. J., & Qiu, A. (2015). Maternal sensitivity, infant limbic structure volume and functional connectivity: A preliminary study. Translational Psychiatry, 5(10), e668. https://doi.org/10.1038/tp.2015.133
  • Rifkin-Graboi, A., Tan, H. M., Shaun, G. K. Y., Sim, L. W., Sanmugam, S., Chong, Y. S., Tan, K. H., Shek, L., Gluckman, P. D., Chen, H., Fortier, M., Meaney, M. J., & Qiu, A. (2019). An initial investigation of neonatal neuroanatomy, caregiving, and levels of disorganized behavior. Proceedings of the National Academy of Sciences of the United States of America, 116(34), 16787–16792. https://doi.org/10.1073/PNAS.1900362116
  • Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999). Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Transactions on Medical Imaging, 18(8), 712–721. https://doi.org/10.1109/42.796284
  • Sameroff, A. J. (Ed.). (2009). The transactional model of development : How children and contexts shape each other. American Psychological Association. http://www.apa.org/pubs/books/4316113.aspx
  • Schmithorst, V. J., Holland, S. K., & Dardzinski, B. J. (2008). Developmental differences in white matter architecture between boys and girls. Human brain mapping, 29(6), 696–710. https://doi.org/10.1002/HBM.20431
  • Schoett, M. J. S., Basten, U., Deichmann, R., Fiebach, C. J., & Fischmann, T. (2021). Brain responses to social cues of attachment in mid-childhood. Attachment & Human Development. https://doi.org/10.1080/14616734.2020.1840791
  • Sethna, V., Pote, I., Wang, S., Gudbrandsen, M., Blasi, A., McCusker, C., Daly, E., Perry, E., Adams, K. P. H., Kuklisova-Murgasova, M., Busuulwa, P., Lloyd-Fox, S., Murray, L., Johnson, M. H., Williams, S. C. R., Murphy, D. G. M., Craig, M. C., & McAlonan, G. M. (2017). Mother–infant interactions and regional brain volumes in infancy: An MRI study. Brain structure & function, 222(5), 2379–2388. https://doi.org/10.1007/s00429-016-1347-1
  • Sethna, V., Siew, J., Pote, I., Wang, S., Gudbrandsen, M., Lee, C., Perry, E., Adams, K. P. H., Watson, C., Kangas, J., Stoencheva, V., Daly, E., Kuklisova-Murgasova, M., Williams, S. C. R., Craig, M. C., Murphy, D. G. M., & McAlonan, G. M. (2019). Father-infant interactions and infant regional brain volumes: A cross-sectional MRI study. Developmental cognitive neuroscience, 40, 1878–9293. https://doi.org/10.1016/J.DCN.2019.100721
  • Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006). Intellectual ability and cortical development in children and adolescents. Nature, 440(7084), 676–679. https://doi.org/10.1038/nature04513
  • Simmonds, D. J., Hallquist, M. N., Asato, M., & Luna, B. (2014). Developmental stages and sex differences of white matter and behavioral development through adolescence: A longitudinal diffusion tensor imaging (DTI) study. NeuroImage, 92, 356–368. https://doi.org/10.1016/j.neuroimage.2013.12.044
  • Sirois, M. -S., & Bernier, A. (2018). Mother–child relationships and children’s psychosocial functioning: The specific roles of attachment security and maternal behavior. Parenting, 18(3), 172–189. https://doi.org/10.1080/15295192.2018.1465305
  • Smith, S. M. (2002). Fast robust automated brain extraction. Human brain mapping, 17(3), 143–155. https://doi.org/10.1002/hbm.10062
  • Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., & Behrens, T. E. J. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505. https://doi.org/10.1016/j.neuroimage.2006.02.024
  • Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., & Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(SUPPL. 1), S208–219. https://doi.org/10.1016/j.neuroimage.2004.07.051
  • Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44(1), 83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061
  • Song, S. -K., Yoshino, J., Le, T. Q., Lin, S. -J., Sun, S. -W., Cross, A. H., & Armstrong, R. C. (2005). Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage, 26(1), 132–140. https://doi.org/10.1016/j.neuroimage.2005.01.028
  • Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Yamamoto, Y., Hanawa, S., Araki, T., Miyauchi, C. M., Sakaki, K., Sassa, Y., Nozawa, T., Ikeda, S., Yokota, S., Daniele, M., & Kawashima, R. (2019). Empathizing associates with mean diffusivity. Scientific reports, 9(1), 8856. https://doi.org/10.1038/s41598-019-45106-1
  • Tamnes, C. K., Roalf, D. R., Goddings, A. -L., & Lebel, C. (2018). Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress. Developmental cognitive neuroscience, 33(May), 161–175. https://doi.org/10.1016/j.dcn.2017.12.002
  • Tarabulsy, G. M., Bernier, A., Provost, M. A., Maranda, J., Larose, S., Moss, E., Larose, M., & Tessier, R. (2005). Another look inside the gap: Ecological contributions to the transmission of attachment in a sample of adolescent mother-infant dyads. Developmental Psychology, 41(1), 212–224. https://doi.org/10.1037/0012-1649.41.1.212
  • Thijssen, S., Muetzel, R. L., Bakermans-Kranenburg, M. J., Jaddoe, V. W. V., Tiemeier, H., Verhulst, F. C., White, T., & Van IJzendoorn, M. H. (2017). Insensitive parenting may accelerate the development of the amygdala–medial prefrontal cortex circuit. Development and Psychopathology, 29(2), 505–518. https://doi.org/10.1017/S0954579417000141
  • Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021). Environmental influences on the pace of brain development. Nature Reviews Neuroscience, 22(6), 372–384. https://doi.org/10.1038/s41583-021-00457-5
  • Tottenham, N. (2014). The importance of early experiences for neuro-affective development. Current Topics in Behavioral Neurosciences, 16, 109–129. https://doi.org/10.1007/7854_2013_254
  • Treit, S., Chen, Z., Rasmussen, C., & Beaulieu, C. (2014). White matter correlates of cognitive inhibition during development: A diffusion tensor imaging study. Neuroscience, 276, 87–97. https://doi.org/10.1016/j.neuroscience.2013.12.019
  • Tromp, D. (2016). DTI scalars (FA, MD, AD, RD) - how do they relate to brain structure? The Winnower. https://doi.org/10.15200/WINN.146119.94778
  • Uda, S., Matsui, M., Tanaka, C., Uematsu, A., Miura, K., Kawana, I., & Noguchi, K. (2015). Normal development of human brain white matter from infancy to early adulthood: A diffusion tensor imaging study. Developmental neuroscience, 37(2), 182–194. https://doi.org/10.1159/000373885
  • Van IJzendoorn, M. H., Vereijken, C. M. J. L., Bakermans-Kranenburg, M. J., & Marianne Riksen-Walraven, J. (2004). Assessing attachment security with the attachment Q sort: Meta-analytic evidence for the validity of the observer AQS. Child Development, 75(4), 1188–1213. https://doi.org/10.1111/j.1467-8624.2004.00733.x
  • Wang, Y., Adamson, C., Yuan, W., Altaye, M., Rajagopal, A., Byars, A. W., & Holland, S. K. (2012). Sex differences in white matter development during adolescence: A DTI study. Brain Research, 1478, 1–15. https://doi.org/10.1016/J.BRAINRES.2012.08.038
  • Wang, Q., Zhang, H., Wee, C. Y., Lee, A., Poh, J. S., Chong, Y. S., Tan, K. H., Gluckman, P. D., Yap, F., Fortier, M. V., Rifkin-Graboi, A., & Qiu, A. (2019). Maternal sensitivity predicts anterior hippocampal functional networks in early childhood. Brain Structure & Function, 224(5), 1885–1895. https://doi.org/10.1007/S00429-019-01882-0
  • Waters, E., & Deane, K. E. (1985). Defining and assessing individual differences in attachment relationships: Q-methodology and the organization of behavior in infancy and early childhood. Monographs of the Society for Research in Child Development, 50(1/2), 41–65. https://doi.org/10.2307/3333826
  • Whittle, S., Simmons, J. G., Dennison, M., Vijayakumar, N., Schwartz, O., Yap, M. B. H., Sheeber, L., & Allen, N. B. (2014). Positive parenting predicts the development of adolescent brain structure: A longitudinal study. Developmental cognitive neuroscience, 8, 7–17. https://doi.org/10.1016/j.dcn.2013.10.006
  • Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014). Permutation inference for the general linear model. NeuroImage, 92, 381–397. https://doi.org/10.1016/j.neuroimage.2014.01.060

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