Environmental influences on the pace of brain development

Tooley, Ursula A.; Bassett, Danielle S.; Mackey, Allyson P.

doi:10.1038/s41583-021-00457-5

Cited by 488Functional Brain Connectivity StudiesCognitive Abilities and TestingNeurogenesis and neuroplasticity mechanisms

Environmental influences on the pace of brain development

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Tooley, Ursula A., Bassett, Danielle S., Mackey, Allyson P.·2021·Nature reviews. Neuroscience

DOI 10.1038/s41583-021-00457-5PMC PMC8081006

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Abstract

Childhood socio-economic status (SES), a measure of the availability of material and social resources, is one of the strongest predictors of lifelong well-being. Here we review evidence that experiences associated with childhood SES affect not only the outcome but also the pace of brain development. We argue that higher childhood SES is associated with protracted structural brain development and a prolonged trajectory of functional network segregation, ultimately leading to more efficient cortical networks in adulthood. We hypothesize that greater exposure to chronic stress accelerates brain maturation, whereas greater access to novel positive experiences decelerates maturation. We discuss the impact of variation in the pace of brain development on plasticity and learning. We provide a generative theoretical framework to catalyse future basic science and translational research on environmental influences on brain development.

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Although differences in the brain are commonly considered the product of biological sex, gender-based influences may also play a strong, if not equal, role.
“This means that, although differences in the brain are commonly considered the product of biological sex, gender-based influences may also play a strong, if not equal, role (66).”
From Where Sex Meets Gender: How Sex and Gender Come Together to Cause Sex Differences in Mental Illness (2022) · cites this paper as [66]
The Introduction (page unavailable) discusses how childhood socioeconomic conditions and experiences relate to brain development, but does not compare gender-based influences with biological sex. Searches for sex differences, gender roles, and socialization found no passage in our copy addressing that comparison; the gender discussion in the Citation diversity statement concerns reference lists, not brain differences. (LLM, conf=0.76)
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Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience
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Self-citation
Stress during a critical postnatal period induces region-specific structural abnormalities and dysfunction of the prefrontal cortex via CRF1
Yang, X.-D., Liao, X.-M., Uribe-Mariño, A., Liu, R., Xie, X.-M., Jia, J., Su, Y.-A., Li, J.-T., Schmidt, M. V., Wang, X.-D., et al. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.304 · Cited by 93 · see citing works
Environmental enrichment is associated with rapid volumetric brain changes in adult mice
Scholz, J., Allemang-Grand, R., Dazai, J., & Lerch, J. P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.027 · Cited by 90 · see citing works
Multiscale examination of cytoarchitectonic similarity and human brain connectivity
Wei, Y., Scholtens, L. H., Turk, E., & van den Heuvel, M. P. (2018) · Network Neuroscience · doi:10.1162/netn_a_00057 · Cited by 90 · see citing works
Association of Early-Life Cognitive Enrichment With Alzheimer Disease Pathological Changes and Cognitive Decline
Oveisgharan, S., Wilson, R. S., Yu, L., Schneider, J. A., & Bennett, D. A. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1941 · Cited by 88 · see citing works
The Healthy Brain and Child Development Study—Shedding Light on Opioid Exposure, COVID-19, and Health Disparities
Volkow, N. D., Gordon, J. A., & Freund, M. P. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3803 · Cited by 88 · see citing works
Normative development of ventral striatal resting state connectivity in humans
Fareri, D. S., Gabard-Durnam, L. J., Goff, B., Flannery, J., Gee, D. G., Lumian, D. S., Caldera, C., & Tottenham, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.022 · Cited by 85 · see citing works
Environmental Influences on Infant Cortical Thickness and Surface Area
Jha, S., Xia, K., Ahn, M., Girault, J., Li, G., Wang, L., Shen, D., Zou, F., Zhu, H.-T., Styner, M., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy020 · Cited by 81 · see citing works
Early life adversity decreases pre-adolescent fear expression by accelerating amygdala PV cell development
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Effects of education on aging-related cortical thinning among cognitively normal individuals
Kim, J. P., Seo, S. W., Shin, H. Y., Ye, B. S., Yang, J.-J., Kim, C., Kang, M., Jeon, S., Kim, H. J., Cho, H., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001884 · Cited by 80 · see citing works
Individual Differences in Developmental Plasticity May Result From Stochastic Sampling
Frankenhuis, W., & Panchanathan, K. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611412602 · Cited by 80 · see citing works
It Is All in the Right Amygdala: Increased Synaptic Plasticity and Perineuronal Nets in Male, But Not Female, Juvenile Rat Pups after Exposure to Early-Life Stress
Guadagno, A., Verlezza, S., Long, H., Wong, T. P., & Walker, C.-D. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.1029-20.2020 · Cited by 78 · see citing works
Child abuse associates with an imbalance of oligodendrocyte-lineage cells in ventromedial prefrontal white matter
Tanti, A., Kim, J. J., Wakid, M., Davoli, M.-A., Turecki, G., & Mechawar, N. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.231 · Cited by 76 · see citing works
Effects of successive environments on brain measures☆
BENNETT, E., Rosenzweig, M. R., Diamond, M., MORIMOTO, H., & HEBERT, M. (1974) · Physiology & Behavior · doi:10.1016/0031-9384(74)90212-1 · Cited by 73 · see citing works
Patterns of sociocognitive stratification and perinatal risk in the child brain
Alnæs, D., Kaufmann, T., Marquand, A. F., Smith, S. M., & Westlye, L. T. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2001517117 · Cited by 73 · see citing works
The relationship between socioeconomic status and white matter microstructure in pre‐reading children: A longitudinal investigation
Ozernov‐Palchik, O., Norton, E. S., Wang, Y., Beach, S. D., Zuk, J., Wolf, M., Gabrieli, J. D. E., & Gaab, N. (2018) · Human Brain Mapping · doi:10.1002/hbm.24407 · Cited by 72 · see citing works
Community Socioeconomic Disadvantage in Midlife Relates to Cortical Morphology via Neuroendocrine and Cardiometabolic Pathways
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(In)citing Action to Realize an Equitable Future
Dworkin, J., Zurn, P., & Bassett, D. S. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.011 · Cited by 69 · see citing works
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Childhood poverty and the organization of structural brain connectome
Kim, D., Davis, E. P., Sandman, C. A., Glynn, L. M., Sporns, O., O’Donnell, B. F., & Hetrick, W. P. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.041 · Cited by 68 · see citing works
Current methods and limitations for longitudinal fMRI analysis across development
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Family Income, Cumulative Risk Exposure, and White Matter Structure in Middle Childhood
Dufford, A. J., & Kim, P. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00547 · Cited by 65 · see citing works
Characteristics of respiratory measures in young adults scanned at rest, including systematic changes and “missed” deep breaths
Power, J. D., Lynch, C. J., Dubin, M. J., Silver, B., Martin, A. D., & Jones, R. M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116234 · Cited by 64 · see citing works
DRD4 Genotype Predicts Longevity in Mouse and Human
Grady, D. L., Thanos, P. K., Corrada, M. M., Barnett, J. C., Ciobanu, V., Shustarovich, D., Napoli, A., Moyzis, A. G., Grandy, D. K., Rubinstein, M., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3515-12.2013 · Cited by 62 · see citing works
Socioeconomic disadvantage and altered corticostriatal circuitry in urban youth
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Normal Development of the Perineuronal Net in Humans; In Patients with and without Epilepsy
Rogers, S. L., Rankin-Gee, E., Risbud, R. M., Porter, B. E., & Marsh, E. D. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.05.039 · Cited by 58 · see citing works

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Why and how does early adversity influence development? Toward an integrated model of dimensions of environmental experience
Ellis, B. J., Sheridan, M. A., Belsky, J., & McLaughlin, K. A. (2022) · Development and Psychopathology · doi:10.1017/s0954579421001838 · Cited by 362 · see citing works
Intrinsic activity development unfolds along a sensorimotor–association cortical axis in youth
Sydnor, V. J., Larsen, B., Seidlitz, J., Adebimpe, A., Alexander‐Bloch, A. F., Bassett, D. S., Bertolero, M. A., Cieslak, M., Covitz, S. C., Yong Fan, A., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01282-y · Cited by 212 · see citing works
Self-citation
Neuroanatomical changes observed over the course of a human pregnancy
Pritschet, L., Taylor, C. M., Cossio, D. M., Faskowitz, J., Santander, T., Handwerker, D. A., Grotzinger, H., Layher, E., Chrastil, E. R., & Jacobs, E. G. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01741-0 · Cited by 178 · see citing works
Early Adversity and Development: Parsing Heterogeneity and Identifying Pathways of Risk and Resilience
Gee, D. G. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21090944 · Cited by 148 · see citing works
Early stress-induced impaired microglial pruning of excitatory synapses on immature CRH-expressing neurons provokes aberrant adult stress responses
Bolton, J. L., Short, A. K., Othy, S., Kooiker, C. L., Shao, M., Gunn, B. G., Beck, J., Bai, X., Law, S. M., Savage, J. C., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110600 · Cited by 146 · see citing works
Childhood socioeconomic status and the pace of structural neurodevelopment: accelerated, delayed, or simply different?
Rakesh, D., Whittle, S., Sheridan, M. A., & McLaughlin, K. A. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.03.011 · Cited by 126 · see citing works
Hierarchical functional system development supports executive function
Keller, A. S., Sydnor, V. J., Pines, A. R., Fair, D. A., Bassett, D. S., & Satterthwaite, T. D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.005 · Cited by 123 · see citing works
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From Homeostasis to Neuroinflammation: Insights into Cellular and Molecular Interactions and Network Dynamics
Müller, L., Benedetto, S. D., & Müller, V. (2025) · Cells · doi:10.3390/cells14010054 · Cited by 98 · see citing works
Increasing diversity in connectomics with the Chinese Human Connectome Project
Ge, J., Yang, G., Han, M., Zhou, S., Men, W., Qin, L., Lyu, B., Li, H., Haobo, W., Rao, H., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01215-1 · Cited by 92 · see citing works
A critical period plasticity framework for the sensorimotor–association axis of cortical neurodevelopment
Larsen, B., Sydnor, V. J., Keller, A. S., Yeo, B. T. T., & Satterthwaite, T. D. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.07.007 · Cited by 90 · see citing works
Early deprivation alters structural brain development from middle childhood to adolescence
Sheridan, M. A., Mukerji, C. E., Wade, M., Humphreys, K. L., Garrisi, K., Goel, S., Patel, K., Fox, N. A., Zeanah, C. H., Nelson, C. A., et al. (2022) · Science Advances · doi:10.1126/sciadv.abn4316 · Cited by 84 · see citing works
Dissociable multi-scale patterns of development in personalized brain networks
Pines, A. R., Larsen, B., Cui, Z., Sydnor, V. J., Bertolero, M. A., Adebimpe, A., Alexander‐Bloch, A. F., Davatzikos, C. A., Fair, D. A., Gur, R. C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30244-4 · Cited by 79 · see citing works
Self-citation
Association of Prenatal Exposure to Early-Life Adversity With Neonatal Brain Volumes at Birth
Triplett, R. L., Lean, R. E., Parikh, A. N., Miller, J. P., Alexopoulos, D. K., Kaplan, S., Meyer, D., Adamson, C. L., Smyser, T. A., Rogers, C. E., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.7045 · Cited by 73 · see citing works
Screen time in children and youth during the pandemic: A systematic review and meta-analysis
Choi, E. J., King, G. K. C., & Duerden, E. G. (2023) · Global Pediatrics · doi:10.1016/j.gpeds.2023.100080 · Cited by 76 · see citing works
The genetic architecture of biological age in nine human organ systems
Wen, J., Tian, Y., Skampardoni, I., Yang, Z., Cui, Y., Anagnostakis, F., Mamourian, E., Zhao, B., Toga, A. W., Zalesky, A., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00662-8 · Cited by 73 · see citing works
The Age of Reason: Functional Brain Network Development during Childhood
Tooley, U. A., Park, A. T., Leonard, J., Boroshok, A. L., McDermott, C. L., Tisdall, M. D., Bassett, D. S., & Mackey, A. P. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0511-22.2022 · Cited by 74 · see citing works
Self-citation
Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment
França, L. G. S., Ciarrusta, J., Gale‐Grant, O., Fenn‐Moltu, S., Fitzgibbon, S. P., Chew, A. T. M., Falconer, S., Dimitrova, R., Cordero‐Grande, L., Price, A. N., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44050-z · Cited by 72 · see citing works
Contextualizing adolescent structural brain development: Environmental determinants and mental health outcomes
Ferschmann, L., Bos, M. G. N., Herting, M. M., Mills, K. L., & Tamnes, C. K. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.09.014 · Cited by 68 · see citing works
Association between maternal diabetes and neurodevelopmental outcomes in children: a systematic review and meta-analysis of 202 observational studies comprising 56·1 million pregnancies
Ye, W., Luo, C., Zhou, J., Liang, X., Wen, J., Huang, J., Zeng, Y., Wu, Y., Gao, Y., Liu, Z., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(25)00036-1 · Cited by 70 · see citing works
Country-level gender inequality is associated with structural differences in the brains of women and men
Zugman, A., Alliende, L. M., Medel, V., Bethlehem, R. A. I., Seidlitz, J., Ringlein, G., Arango, C., Arnatkevičiūtė, A., Asmal, L., Bellgrove, M., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218782120 · Cited by 65 · see citing works
Where Sex Meets Gender: How Sex and Gender Come Together to Cause Sex Differences in Mental Illness
Christiansen, D. M., McCarthy, M. M., & Seeman, M. V. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.856436 · Cited by 65 · see citing works
“This means that, although differences in the brain are commonly considered the product of biological sex, gender-based influences may also play a strong, if not equal, role (66).”
Background
Early adversity and the development of explore–exploit tradeoffs
Frankenhuis, W. E., & Alison Gopnik, C. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.04.001 · Cited by 65 · see citing works
Oligodendrocyte Development and Implication in Perinatal White Matter Injury
Motavaf, M., & Piao, X. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.764486 · Cited by 65 · see citing works
Brain network coupling associated with cognitive performance varies as a function of a child’s environment in the ABCD study
Ellwood-Lowe, M. E., Whitfield, S., & Bunge, S. A. (2021) · Nature Communications · doi:10.1038/s41467-021-27336-y · Cited by 65 · see citing works
The midpoint of cortical thinning between late childhood and early adulthood differs between individuals and brain regions: Evidence from longitudinal modelling in a 12-wave neuroimaging sample
Fuhrmann, D., Madsen, K. S., Johansen, L. B., Baaré, W. F. C., & Kievit, R. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119507 · Cited by 60 · see citing works
What is the expected human childhood? Insights from evolutionary anthropology
Frankenhuis, W. E., & Amir, D. (2021) · Development and Psychopathology · doi:10.1017/s0954579421001401 · Cited by 68 · see citing works
Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development
Dhamala, E., Ooi, L. Q. R., Chen, J., Kong, R., Anderson, K. M., Chin, R., Yeo, B. T. T., & Holmes, A. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119485 · Cited by 56 · see citing works
Outdoor air pollution and brain development in childhood and adolescence
Herting, M. M., Bottenhorn, K. L., & Cotter, D. L. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.06.008 · Cited by 59 · see citing works
The HEALthy Brain and Child Development Study (HBCD): NIH collaboration to understand the impacts of prenatal and early life experiences on brain development
Volkow, N. D., Gordon, J. A., Bianchi, D. W., Chiang, M. F., Clayton, J. A., Klein, W. M. P., Koob, G. F., Koroshetz, W. J., Pérez‐Stable, E. J., Simoni, J. M., et al. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101423 · Cited by 62 · see citing works
Prenatal exposure to maternal social disadvantage and psychosocial stress and neonatal white matter connectivity at birth
Lean, R. E., Smyser, C. D., Brady, R. G., Triplett, R. L., Kaplan, S., Kenley, J. K., Shimony, J. S., Smyser, T. A., Miller, J. P., Barch, D. M., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204135119 · Cited by 54 · see citing works
Puberty differentially predicts brain maturation in male and female youth: A longitudinal ABCD Study
Beck, D., Ferschmann, L., MacSweeney, N., Norbom, L. B., Wiker, T., Aksnes, E. R., Karl, V., Dégeilh, F., Holm, M. C., Mills, K. L., et al. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101261 · Cited by 57 · see citing works
Incredible Utility: The Lost Causes and Causal Debris of Psychological Science
Richters, J. E. (2021) · Basic and Applied Social Psychology · doi:10.1080/01973533.2021.1979003 · Cited by 58 · see citing works
Cortical growth from infancy to adolescence in preterm and term-born children
Kelly, C. E., Thompson, D. K., Adamson, C. L., Ball, G., Dhollander, T., Beare, R. J., Matthews, L. G., Alexander, B., Cheong, J. L. Y., Doyle, L. W., et al. (2023) · Brain · doi:10.1093/brain/awad348 · Cited by 55 · see citing works
Long-lasting effects of very preterm birth on brain structure in adulthood: A systematic review and meta-analysis
Kelly, C. E., Shaul, M., Thompson, D. K., Mainzer, R., Yang, J. Y., Dhollander, T., Cheong, J. L. Y., Inder, T. E., Doyle, L. W., & Anderson, P. J. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105082 · Cited by 54 · see citing works
Exploring Cognitive Processes of Knowledge Acquisition to Upgrade Academic Practices
Cherukunnath, D., & Singh, A. P. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.682628 · Cited by 53 · see citing works
Neural, cognitive and psychopathological signatures of a prosocial or delinquent peer environment during early adolescence
Liu, Y., Peng, S., Wu, X., Liu, Z., Lian, Z., Fan, H., Kuang, N., Gu, X., Yang, S., Hu, Y., et al. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101566 · Cited by 53 · see citing works
Modeling environment through a general exposome factor in two independent adolescent cohorts
Moore, T. M., Visoki, E., Argabright, S. T., DiDomenico, G. E., Sotelo, I., Wortzel, J. D., Naeem, A., Gur, R. C., Gur, R. E., Warrier, V., et al. (2022) · Exposome · doi:10.1093/exposome/osac010 · Cited by 55 · see citing works
Innovative Early Childhood STEM Education with ChatGPT: Teacher Perspectives
Uğraş, H., Uğraş, M., Papadakis, S., & Kalogiannakis, M. (2024) · Technology Knowledge and Learning · doi:10.1007/s10758-024-09804-8 · Cited by 68 · see citing works
Annual Research Review: Early intervention viewed through the lens of developmental neuroscience
Nelson, C. A., Sullivan, E., & Engelstad, A. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13858 · Cited by 64 · see citing works
Childhood unpredictability and the development of exploration
Xu, Y., Harms, M. B., Green, C. S., Wilson, R. C., & Pollak, S. D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2303869120 · Cited by 48 · see citing works
The PSA-NCAM-Positive “Immature” Neurons: An Old Discovery Providing New Vistas on Brain Structural Plasticity
Bonfanti, L., & Seki, T. (2021) · Cells · doi:10.3390/cells10102542 · Cited by 46 · see citing works
Structural insight into the individual variability architecture of the functional brain connectome
Sun, L., Liang, X., Duan, D., Liu, J., Chen, Y., Wang, X., Liao, X., Xia, M., Zhao, T., & Yong He, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119387 · Cited by 45 · see citing works
A shifting role of thalamocortical connectivity in the emergence of cortical functional organization
Park, S., Haak, K. V., Oldham, S., Cho, H., Byeon, K., Park, B., Thomson, P., Chen, H., Gao, W., Xu, T., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01679-3 · Cited by 52 · see citing works
Association of phthalate exposure with autistic traits in children
Kim, J. I., Lee, J. E., Lee, K., Lee, Y. A., Shin, C. H., Hong, Y., Kim, B.-N., & Lim, Y.-H. (2021) · Environment International · doi:10.1016/j.envint.2021.106775 · Cited by 46 · see citing works
The promise and pitfalls of a strength-based approach to child poverty and neurocognitive development: Implications for policy
DeJoseph, M. L., Ellwood-Lowe, M. E., Miller‐Cotto, D., Silverman, D. M., Shannon, K. A., Reyes, G., Rakesh, D., & Frankenhuis, W. E. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101375 · Cited by 50 · see citing works
Environmental and neurodevelopmental contributors to youth mental illness
Whittle, S., Zhang, L., & Rakesh, D. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01926-y · Cited by 46 · see citing works
An introduction to the HEALthy Brain and Child Development Study (HBCD) study
Nelson, C. A., Frankeberger, J., & Chambers, C. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101441 · Cited by 44 · see citing works
Interpersonal early adversity demonstrates dissimilarity from early socioeconomic disadvantage in the course of human brain development: A meta-analysis
Vannucci, A., Fields, A., Hansen, E., Katz, A., Kerwin, J., Tachida, A., Martin, N., & Tottenham, N. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105210 · Cited by 44 · see citing works
The influence of early-life adversity on the coupling of structural and functional brain connectivity across childhood
Chan, S. Y., Ngoh, Z. M., Ong, Z. Y., Teh, A. L., Kee, M. Z. L., Zhou, J. H., Fortier, M. V., Yap, F. K. P., MacIsaac, J. L., Kobor, M. S., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-023-00162-5 · Cited by 46 · see citing works
Brain Plasticity in Humans and Model Systems: Advances, Challenges, and Future Directions
Bonfanti, L., & Charvet, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179358 · Cited by 36 · see citing works
Associations between Socioeconomic Status, Cognition, and Brain Structure: Evaluating Potential Causal Pathways Through Mechanistic Models of Development
Thomas, M. S. C., & Dündar‐Coecke, S. (2023) · Cognitive Science · doi:10.1111/cogs.13217 · Cited by 41 · see citing works
Efficient coding in the economics of human brain connectomics
Zhou, D., Lynn, C. W., Cui, Z., Ćirić, R., Baum, G. L., Moore, T. M., Roalf, D. R., Detre, J. A., Gur, R. C., Gur, R. E., et al. (2021) · Network Neuroscience · doi:10.1162/netn_a_00223 · Cited by 38 · see citing works
Self-citation
Change of pace: How developmental tempo varies to accommodate failed provision of early needs
Roubinov, D. S., Meaney, M. J., & Boyce, W. T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.031 · Cited by 40 · see citing works
Sexually divergent development of depression-related brain networks during healthy human adolescence
Dorfschmidt, L., Bethlehem, R. A. I., Seidlitz, J., Váša, F., White, S. R., Romero-García, R., Kitzbichler, M. G., Aruldass, A. R., Morgan, S. E., Goodyer, I. M., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm7825 · Cited by 40 · see citing works
A simple permutation‐based test of intermodal correspondence
Weinstein, S. M., Vandekar, S., Adebimpe, A., Tapera, T. M., Robert-Fitzgerald, T., Gur, R., Gur, R., Raznahan, A., Satterthwaite, T., Alexander-Bloch, A., et al. (2020) · bioRxiv · doi:10.1002/hbm.25577 · Cited by 30 · see citing works
Adolescent brain maturation and the neuropathological effects of binge drinking: A critical review
Tetteh-Quarshie, S., & Risher, M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1040049 · Cited by 38 · see citing works
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Authors: Tooley, U. A., Bassett, D. S., & Mackey, A. P.
Affiliations: University of Pennsylvania (US)
Santa Fe Institute (US)
Corresponding author: Mackey, Allyson P.
ORCID: Tooley, Ursula A.
Bassett, Danielle S.
Mackey, Allyson P.
Venue: Nature reviews. Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2021-04-28
Volume: 22
Issue: 6
Pages: 372-384
ISSN: 1471-003X (ISSN-L)
1471-0048
DOI: 10.1038/s41583-021-00457-5
PMC: PMC8081006
OpenAlex: W3157378538
Cited by: 488
References: 238
Citations by year: 2026: 62 · 2025: 112 · 2024: 136 · 2023: 94 · 2022: 58 · 2021: 25
FWCI: 11.56
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature reviews. Neuroscience (publishedVersion, cc-by)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Science Foundation
John D. and Catherine T. MacArthur Foundation
Institute for Scientific Interchange
Jacobs Foundation
National Institutes of Health (1r34da050297-01)
National Institute on Drug Abuse (R34 DA050297)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
Keywords: brain development, developmental timing, chronic stress, positive experiences, functional network segregation, brain maturation, neuroplasticity, learning, environmental influences on brain development
MeSH terms: Adult Survivors of Child Adverse Events, Adverse Childhood Experiences, Adolescent, Animals, Brain, Cerebral Cortex, Child, Child, Preschool, Cross-Sectional Studies, Environment, Female, Humans, Infant, Learning, Longitudinal Studies, Male, Minority Groups, Nerve Net, Neuronal Plasticity, Neurosciences, Organ Size, Pregnancy, Social Class, Stress, Physiological, Bibliometrics

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Environmental influences on the pace of brain development

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