The DOI matches its Crossref record; 235 of the 238 references it cites were found in a registry or an index.
Environmental influences on the pace of brain development
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
In situ click chemistry generation of cyclooxygenase-2 inhibitors
Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Stress, adaptation, and disease. Allostasis and allostatic load
McEWEN, B. S. (1998) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1998.tb09546.x · Cited by 5,092
WEIRD languages have misled us, too
Majid, A., & Levinson, S. C. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1000018x · Cited by 4,177
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398
Self-citationSocioeconomic status and health: The challenge of the gradient
Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L. (1994) · American Psychologist · doi:10.1037/0003-066x.49.1.15 · Cited by 2,383
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
Adverse childhood experiences, allostasis, allostatic load and age-related disease
Danese, A., & McEwen, B. S. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.08.019 · Cited by 2,140
Irwin, M. R., Olmstead, R., & Carroll, J. E. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.05.014 · Cited by 2,085
The basics of brain development
Stiles, J., & Jernigan, T. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9148-4 · Cited by 2,009
Miller, G. E., Chen, E., & Parker, K. J. (2011) · Psychological Bulletin · doi:10.1037/a0024768 · Cited by 1,785
Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine
Meyer-Lindenberg, A., Domes, G., Kirsch, P., & Heinrichs, M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3044 · Cited by 1,688
How Much Does Childhood Poverty Affect the Life Chances of Children?
Duncan, G. J., Yeung, W. J., Jeanne Brooks-gunn, B., & Smith, J. R. (1998) · American Sociological Review · doi:10.2307/2657556 · Cited by 1,616
Socioeconomic Disparities in Health in the United States: What the Patterns Tell Us
Braveman, P. A., Cubbin, C., Egerter, S., Williams, D. R., & Pamuk, E. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.166082 · Cited by 1,548
Family income, parental education and brain structure in children and adolescents
Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3983 · Cited by 1,423
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.012 · Cited by 1,389
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,376
The rate of return to the HighScope Perry Preschool Program
Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. (2010) · Journal of Public Economics · doi:10.1016/j.jpubeco.2009.11.001 · Cited by 1,341
Bradley, R. H., CORWYN, R. F., McAdoo, H. P., & Coll, C. G. (2001) · Child Development · doi:10.1111/1467-8624.t01-1-00382 · Cited by 1,222
Assessing differential impacts of COVID-19 on black communities
Millett, G. A., Jones, A. T., Benkeser, D., Baral, S., Mercer, L., Beyrer, C., Honermann, B., Lankiewicz, E., Mena, L., Crowley, J. S., et al. (2020) · Annals of Epidemiology · doi:10.1016/j.annepidem.2020.05.003 · Cited by 1,217
Early Childhood Education: Young Adult Outcomes From the Abecedarian Project
Campbell, F. A., Ramey, C. T., Pungello, E., Sparling, J., & Miller-Johnson, S. (2002) · Applied Developmental Science · doi:10.1207/s1532480xads0601_05 · Cited by 1,144
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125
Training, maturation, and genetic influences on the development of executive attention
Rueda, M. R., Rothbart, M. K., McCandliss, B. D., Saccomanno, L., & Posner, M. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506897102 · Cited by 1,110
Baldwin, J. R., Reuben, A., Newbury, J. B., & Danese, A. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0097 · Cited by 1,094
Association of Child Poverty, Brain Development, and Academic Achievement
Hair, N. L., Hanson, J. L., Wolfe, B. L., & Pollak, S. D. (2015) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2015.1475 · Cited by 1,017
Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
The conception of the ABCD study: From substance use to a broad NIH collaboration
Volkow, N. D., Koob, G. F., Croyle, R. T., Bianchi, D. W., Gordon, J. A., Koroshetz, W. J., Pérez-Stable, E. J., Riley, W. T., Bloch, M. H., Conway, K., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.10.002 · Cited by 970
A critical period for social experience-dependent oligodendrocyte maturation and myelination
Makinodan, M., Rosen, K. M., Ito, S., & Corfas, G. (2012) · Science · doi:10.1126/science.1220845 · Cited by 922
Romeo, R. R., Leonard, J., Robinson, S. T., West, M. R., Mackey, A. P., Rowe, M. L., & Gabrieli, J. D. E. (2018) · Psychological Science · doi:10.1177/0956797617742725 · Cited by 910
Self-citationBeyond Cumulative Risk: A Dimensional Approach to Childhood Adversity
McLaughlin, K. A., & Sheridan, M. A. (2016) · Current Directions in Psychological Science · doi:10.1177/0963721416655883 · Cited by 906
The antidepressant fluoxetine restores plasticity in the adult visual cortex
Vetencourt, J. F. M., Sale, A., Viegi, A., Baroncelli, L., De Pasquale, R., F. O'Leary, O., Castrén, E., & Maffei, L. (2008) · Science · doi:10.1126/science.1150516 · Cited by 890
Socioeconomic Status and Chronic Stress: Does Stress Account for SES Effects on Health?
Baum, A., Garofalo, J., & Yali, A. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb08111.x · Cited by 887
Small-World Brain Networks Revisited
Bassett, D. S., & Bullmore, E. T. (2016) · The Neuroscientist · doi:10.1177/1073858416667720 · Cited by 887
Self-citationEarly developmental emergence of human amygdala–prefrontal connectivity after maternal deprivation
Gee, D. G., Gabard-Durnam, L. J., Flannery, J., Goff, B., Humphreys, K. L., Telzer, E. H., Hare, T. A., Bookheimer, S. Y., & Tottenham, N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307893110 · Cited by 871
Parkes, L., Fulcher, B., Yücel, M., & Fornito, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.073 · Cited by 830
The impact of exposure to air pollution on cognitive performance
Zhang, X., Chen, X., & Zhang, X. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1809474115 · Cited by 813
Critical periods in speech perception: New directions
Werker, J. F., & Hensch, T. K. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015104 · Cited by 774
Chemical and Anatomical Plasticity of Brain
Bennett, E. L., Diamond, M. C., Krech, D., & Rosenzweig, M. R. (1964) · Science · doi:10.1126/science.146.3644.610 · Cited by 769
The Gender Citation Gap in International Relations
Maliniak, D., Powers, R., & Walter, B. F. (2013) · International Organization · doi:10.1017/s0020818313000209 · Cited by 749
Childhood socioeconomic status and adult health
Cohen, S., Janicki‐Deverts, D., Chen, E., & Matthews, K. A. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05334.x · Cited by 719
Prolonged myelination in human neocortical evolution
Miller, D. J., Duka, T., Stimpson, C. D., Schapiro, S. J., Baze, W. B., McArthur, M. J., Fobbs, A. J., Sousa, A. M. M., Šestan, N., Wildman, D. E., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117943109 · Cited by 699
Dimensions of early experience and neural development: deprivation and threat
Sheridan, M. A., & McLaughlin, K. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.09.001 · Cited by 697
How Much Does Education Improve Intelligence? A Meta-Analysis
Ritchie, S. J., & Tucker-Drob, E. M. (2018) · Psychological Science · doi:10.1177/0956797618774253 · Cited by 680
Balancing Plasticity/Stability Across Brain Development
Takesian, A. E., & Hensch, T. K. (2013) · Progress in Brain Research · doi:10.1016/b978-0-444-63327-9.00001-1 · Cited by 667
The neuroscience of socioeconomic status: Correlates, causes, and consequences
Farah, M. J. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.034 · Cited by 653
Modern Approaches to Conceptualizing and Measuring Human Life Stress
Monroe, S. M. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.4.022007.141207 · Cited by 621
Microglial Remodeling of the Extracellular Matrix Promotes Synapse Plasticity
Nguyen, P. T., Dorman, L. C., Pan, S., Vainchtein, I. D., Han, R. T., Nakao-Inoue, H., Taloma, S. E., Barron, J. J., Molofsky, A. B., Kheirbek, M. A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.050 · Cited by 615
Learning-induced autonomy of sensorimotor systems
Bassett, D. S., Yang, M., Wymbs, N. F., & Grafton, S. T. (2015) · Nature Neuroscience · doi:10.1038/nn.3993 · Cited by 603
Self-citationThe stress acceleration hypothesis: effects of early-life adversity on emotion circuits and behavior
Callaghan, B. L., & Tottenham, N. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.11.018 · Cited by 585
The effects of an enriched environment on the histology of the rat cerebral cortex
Diamond, M. C., Krech, D., & Rosenzweig, M. R. (1964) · Journal of Comparative Neurology · doi:10.1002/cne.901230110 · Cited by 584
Cortical remodelling induced by activity of ventral tegmental dopamine neurons
Bao, S., Chan, V. T., & Merzenich, M. M. (2001) · Nature · doi:10.1038/35083586 · Cited by 569
Brain networks and cognitive architectures
Petersen, S. E., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.027 · Cited by 553
How can we learn about developmental processes from cross-sectional studies, or can we?
Kraemer, H. C., Yesavage, J. A., Taylor, J. L., & Kupfer, D. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.2.163 · Cited by 548
Development of structure–function coupling in human brain networks during youth
Baum, G. L., Cui, Z., Roalf, D. R., Ciric, R., Betzel, R. F., Larsen, B., Cieslak, M., Cook, P. A., Xia, C. H., Moore, T. M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912034117 · Cited by 544
Self-citationThe extent and drivers of gender imbalance in neuroscience reference lists
Dworkin, J. D., Linn, K. A., Teich, E. G., Zurn, P., Shinohara, R. T., & Bassett, D. S. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0658-y · Cited by 543
Self-citationNeural correlates of socioeconomic status in the developing human brain
Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01147.x · Cited by 542
Myelin remodeling through experience-dependent oligodendrogenesis in the adult somatosensory cortex
Hughes, E. G., Orthmann-Murphy, J. L., Langseth, A. J., & Bergles, D. E. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0121-5 · Cited by 540
Population health in an era of rising income inequality: USA, 1980–2015
Bor, J. H., Cohen, G. H., & Galea, S. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30571-8 · Cited by 537
Cai, Y., Xue, F., Fleming, C., Yang, J., Ding, C., Ma, Y., Liu, M., Zhang, H., Zheng, J., Xiong, N., et al. (2016) · Nature Communications · doi:10.1038/ncomms11354 · Cited by 531
Gendered Citation Patterns across Political Science and Social Science Methodology Fields
Dion, M. L., Sumner, J. L., & Mitchell, S. M. (2018) · Political Analysis · doi:10.1017/pan.2018.12 · Cited by 523
A Novel Mouse Model for Acute and Long-Lasting Consequences of Early Life Stress
Rice, C. J., Sandman, C. A., Lenjavi, M. R., & Baram, T. Z. (2008) · Endocrinology · doi:10.1210/en.2008-0633 · Cited by 521
Exuberance in the development of cortical networks
Innocenti, G. M., & Price, D. J. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1790 · Cited by 512
Brain Development During the Preschool Years
Brown, T. T., & Jernigan, T. L. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9214-1 · Cited by 506
Sale, A., Maya Vetencourt, J. F., Medini, P., Cenni, M. C., Baroncelli, L., De Pasquale, R., & Maffei, L. (2007) · Nature Neuroscience · doi:10.1038/nn1899 · Cited by 492
Critical period regulation across multiple timescales
Reh, R. K., Dias, B. G., Nelson, C. A., Kaufer, D., Werker, J. F., Kolb, B., Levine, J. D., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820836117 · Cited by 492
Mechanisms of late-onset cognitive decline after early-life stress
Brunson, K. L., Kramár, E., Lin, B., Chen, Y., Colgin, L. L., Yanagihara, T. K., Lynch, G., & Baram, T. Z. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2281-05.2005 · Cited by 479
Factors underlying variable DNA methylation in a human community cohort
Lam, L. L., Emberly, E., Fraser, H. B., Neumann, S. M., Chen, E., Miller, G. E., & Kobor, M. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121249109 · Cited by 476
Trends and properties of human cerebral cortex: Correlations with cortical myelin content
Glasser, M. F., Goyal, M. S., Preuss, T. M., Raichle, M. E., & Essen, D. C. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.060 · Cited by 456
Experience-driven brain plasticity: Beyond the synapse
MARKHAM, J. A., & GREENOUGH, W. T. (2004) · Neuron Glia Biology · doi:10.1017/s1740925x05000219 · Cited by 437
Colich, N. L., Rosen, M. L., Williams, E. S., & McLaughlin, K. A. (2020) · Psychological Bulletin · doi:10.1037/bul0000270 · Cited by 433
Walker, C., Bath, K. G., Joëls, M., Kőrösi, A., Larauche, M. H., Lucassen, P. J., Morris, M. J., Raineki, C., Roth, T. L., Sullivan, R. M., et al. (2017) · Stress · doi:10.1080/10253890.2017.1343296 · Cited by 432
Increases in cortical depth and glia numbers in rats subjected to enriched environment
Diamond, M. C., Law, F., Rhodes, H., Lindner, B., Rosenzweig, M. R., Krech, D., & Bennett, E. L. (1966) · Journal of Comparative Neurology · doi:10.1002/cne.901280110 · Cited by 419
Spatial Disparities in the Distribution of Parks and Green Spaces in the USA
Wen, M., Zhang, X., Harris, C. D., Holt, J. B., & Croft, J. B. (2013) · Annals of Behavioral Medicine · doi:10.1007/s12160-012-9426-x · Cited by 413
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411
Changes in Thickness and Surface Area of the Human Cortex and Their Relationship with Intelligence
Schnack, H. G., van Haren, N. E. M., Brouwer, R. M., Evans, A. C., Durston, S., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht357 · Cited by 407
Ivy, A. S., Rex, C. S., Chen, Y., Dubé, C., Maras, P. M., Grigoriadis, D. E., Gall, C. M., Lynch, G., & Baram, T. Z. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1784-10.2010 · Cited by 402
Quantitative evaluation of gender bias in astronomical publications from citation counts
Čaplar, N., Tacchella, S., & Birrer, S. (2017) · Nature Astronomy · doi:10.1038/s41550-017-0141 · Cited by 401
Favuzzi, E., Marques-Smith, A., Deogracias, R., Winterflood, C. M., Sánchez-Aguilera, A., Mantoan, L., Maeso, P., Fernandes, C., Ewers, H., & Rico, B. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.028 · Cited by 397
On the nature and use of models in network neuroscience
Bassett, D. S., Zurn, P., & Gold, J. I. (2018) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0038-8 · Cited by 392
Self-citationExtensive migration of young neurons into the infant human frontal lobe
Paredes, M. F., James, D., Gil-Perotin, S., Kim, H., Cotter, J. A., Ng, C., Sandoval, K., Rowitch, D. H., Xu, D., McQuillen, P. S., et al. (2016) · Science · doi:10.1126/science.aaf7073 · Cited by 391
Gao, W., Alcauter, S., Elton, A., Hernandez-Castillo, C. R., Smith, J. K., Ramirez, J., & Lin, W. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu088 · Cited by 380
Segregated Systems of Human Brain Networks
Wig, G. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.09.006 · Cited by 374
Gabard-Durnam, L. J., Flannery, J., Goff, B., Gee, D. G., Humphreys, K. L., Telzer, E., Hare, T., & Tottenham, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.038 · Cited by 372
Lynx1, a Cholinergic Brake, Limits Plasticity in Adult Visual Cortex
Morishita, H., Miwa, J. M., Heintz, N., & Hensch, T. K. (2010) · Science · doi:10.1126/science.1195320 · Cited by 365
Childhood as a solution to explore–exploit tensions
Alison Gopnik, C. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0502 · Cited by 354
Apparent thinning of human visual cortex during childhood is associated with myelination
Natu, V. S., Gomez, J., Barnett, M., Jeska, B., Kirilina, E. P., Jaeger, C., Zhen, Z., Cox, S., Weiner, K. S., Weiskopf, N., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904931116 · Cited by 353
Duffy, S. N., Craddock, K. J., Abel, T. G., & Nguyen, P. (2001) · Learning & Memory · doi:10.1101/lm.36301 · Cited by 349
Emergence of system roles in normative neurodevelopment
Gu, S., Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., & Bassett, D. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502829112 · Cited by 338
Self-citationThe contribution of network organization and integration to the development of cognitive control
Marek, S., Hwang, K., Foran, W., Hallquist, M. N., & Luna, B. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002328 · Cited by 337
Nurturing brain plasticity: Impact of environmental enrichment
Baroncelli, L., Braschi, C., Spolidoro, M., Begenisic, T., Sale, A., & Maffei, L. (2010) · Cell Death & Differentiation · doi:10.1038/cdd.2009.193 · Cited by 330
Influence of race and socioeconomic status on sleep: Pittsburgh SleepSCORE project
Mezick, E. J., Matthews, K. A., Hall, M., Strollo, P. J., Buysse, D. J., Kamarck, T. W., Owens, J. F., & Reis, S. E. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31816fdf21 · Cited by 321
Sumner, J. A., Colich, N. L., Uddin, M., Armstrong, D., & McLaughlin, K. A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.008 · Cited by 315
Naninck, E. F. G., Hoeijmakers, L., Kakava-Georgiadou, N., Meesters, A., Lazic, S. E., Lucassen, P. J., & Kőrösi, A. (2014) · Hippocampus · doi:10.1002/hipo.22374 · Cited by 300
Childhood Poverty, Cumulative Risk Exposure, and Mental Health in Emerging Adults
Evans, G. W., & Cassells, R. C. (2013) · Clinical Psychological Science · doi:10.1177/2167702613501496 · Cited by 299
Mitigating head motion artifact in functional connectivity MRI
Ćirić, R., Rosen, A. F. G., Erus, G., Cieslak, M., Adebimpe, A., Cook, P. A., Bassett, D. S., Davatzikos, C. A., Wolf, D. H., & Satterthwaite, T. D. (2018) · Nature Protocols · doi:10.1038/s41596-018-0065-y · Cited by 299
Self-citationConcepts and principles in the analysis of brain networks
Wig, G. S., Schlaggar, B. L., & Petersen, S. E. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05947.x · Cited by 295
Mauney, S. A., Athanas, K. M., Pantazopoulos, H., Shaskan, N., Passeri, E., Berretta, S., & Woo, T.-U. W. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.05.007 · Cited by 291
Associations between children's socioeconomic status and prefrontal cortical thickness
Lawson, G. M., Duda, J., Avants, B., Wu, J., & Farah, M. J. (2013) · Developmental Science · doi:10.1111/desc.12096 · Cited by 284
Social disadvantage, genetic sensitivity, and children's telomere length
Mitchell, C., Hobcraft, J., McLanahan, S. S., Siegel, S. R., Berg, A., Brooks-Gunn, J., Garfinkel, I., & Notterman, D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404293111 · Cited by 281
Sheridan, M. A., Peverill, M., Finn, A. S., & McLaughlin, K. A. (2017) · Development and Psychopathology · doi:10.1017/s0954579417001390 · Cited by 276
Language Exposure Relates to Structural Neural Connectivity in Childhood
Romeo, R. R., Segaran, J., Leonard, J., Robinson, S. T., West, M. R., Mackey, A. P., Yendiki, A., Rowe, M. L., & Gabrieli, J. D. E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0484-18.2018 · Cited by 272
Self-citationPerineuronal Nets Suppress Plasticity of Excitatory Synapses on CA2 Pyramidal Neurons
Carstens, K. E., Phillips, M. L., Pozzo-Miller, L., Weinberg, R. J., & Dudek, S. M. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0245-16.2016 · Cited by 271
Callaghan, B. L., & Tottenham, N. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.204 · Cited by 268
Cohort Profile: The FinnBrain Birth Cohort Study (FinnBrain)
Karlsson, L., Tolvanen, M., Scheinin, N. M., Uusitupa, H., Korja, R., Ekholm, E. M. K., Tuulari, J. J., Pajulo, M., Huotilainen, M., Paunio, T., et al. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx173 · Cited by 256
Dynamic reconfiguration of functional brain networks during working memory training
Finc, K., Bonna, K., He, X., Lydon‐Staley, D. M., Kühn, S., Duch, W., & Bassett, D. S. (2020) · Nature Communications · doi:10.1038/s41467-020-15631-z · Cited by 255
Self-citationThe Importance of Early Childhood Poverty
Duncan, G. J., Magnuson, K., Kalil, A., & Ziol‐Guest, K. M. (2011) · Social Indicators Research · doi:10.1007/s11205-011-9867-9 · Cited by 254
Guerra-Carrillo, B., Mackey, A. P., & Bunge, S. A. (2014) · The Neuroscientist · doi:10.1177/1073858414524442 · Cited by 251
Self-citationRosen, M. L., Hagen, M. P., Lurie, L. A., Miles, Z. E., Sheridan, M. A., Meltzoff, A. N., & McLaughlin, K. A. (2019) · Child Development · doi:10.1111/cdev.13315 · Cited by 251
Evrard, S., Lecce, L., Michelis, K. C., Nomura-Kitabayashi, A., Pandey, G. S., Purushothaman, K., d’Escamard, V., Li, J. R., Hadri, L., Fujitani, K., et al. (2017) · Nature Communications · doi:10.1038/ncomms14710 · Cited by 250
Response of the brain to enrichment
Diamond, M. C. (2001) · Anais da Academia Brasileira de Ciências · doi:10.1590/s0001-37652001000200006 · Cited by 246
Prenatal Air Pollution and Newborns' Predisposition to Accelerated Biological Aging
Martens, D. S., Cox, B., Janssen, B. G., Clemente, D. B. P., Gasparrini, A., Vanpoucke, C., Lefebvre, W., Roels, H. A., Plusquin, M., & Nawrot, T. S. (2017) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2017.3024 · Cited by 241
Gur, R. E., Moore, T. M., Rosen, A. F. G., Barzilay, R., Roalf, D. R., Calkins, M. E., Ruparel, K., Scott, J. C., Almasy, L., Satterthwaite, T. D., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0943 · Cited by 239
Short- and long-lasting consequences of novelty, deviance and surprise on brain and cognition
Schomaker, J., & Meeter, M. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.002 · Cited by 229
Correction of respiratory artifacts in MRI head motion estimates
Fair, D. A., Miranda-Domínguez, Ó., Snyder, A. Z., Perrone, A. J., Earl, E., Van, A. N., Koller, J. M., Feczko, E., Tisdall, M. D., van der Kouwe, A. J. W., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116400 · Cited by 226
The superluminous transient ASASSN-15lh as a tidal disruption event from a Kerr black hole
Leloudas, G., Fraser, M., Stone, N. C., van Velzen, S., Jonker, P. G., Arcavi, I., Fremling, C., Maund, J. R., Smartt, S. J., Krìhler, T., et al. (2016) · Nature Astronomy · doi:10.1038/s41550-016-0002 · Cited by 224
Enriching heredity: the impact of the environment on the anatomy of the brain
(1989) · Choice Reviews Online · doi:10.5860/choice.26-3265 · Cited by 220
Early life stress accelerates behavioral and neural maturation of the hippocampus in male mice
Bath, K. G., Manzano-Nieves, G., & Goodwill, H. L. (2016) · Hormones and Behavior · doi:10.1016/j.yhbeh.2016.04.010 · Cited by 219
Human Connectomics across the Life Span
Zuo, X., He, Y., Betzel, R. F., Colcombe, S. J., Sporns, O., & Milham, M. P. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.10.005 · Cited by 217
Cumulative early life adversity predicts longevity in wild baboons
Tung, J., Archie, E. A., Altmann, J., & Alberts, S. C. (2016) · Nature Communications · doi:10.1038/ncomms11181 · Cited by 210
Racial and/or Ethnic and Socioeconomic Disparities of SARS-CoV-2 Infection Among Children
Goyal, M. K., Simpson, J. N., Boyle, M. D., Badolato, G. M., Delaney, M., McCarter, R., & Cora‐Bramble, D. (2020) · PEDIATRICS · doi:10.1542/peds.2020-009951 · Cited by 206
The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity
Eyre, M., Fitzgibbon, S. P., Ciarrusta, J., Cordero‐Grande, L., Price, A. N., Poppe, T., Schuh, A., Hughes, E., O’Keeffe, C., Brandon, J., et al. (2021) · Brain · doi:10.1093/brain/awab118 · Cited by 201
McDermott, C. L., Seidlitz, J., Nadig, A., Liu, S., CLASEN, L. S., Blumenthal, J. D., Reardon, P. K., Lalonde, F., GREENSTEIN, D. K., Patel, R., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1808-18.2018 · Cited by 194
Science Is Awe-Some: The Emotional Antecedents of Science Learning
Valdesolo, P., Shtulman, A., & Baron, A. S. (2017) · Emotion Review · doi:10.1177/1754073916673212 · Cited by 193
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., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.017 · Cited by 190
Inhibitory circuit gating of auditory critical-period plasticity
Takesian, A. E., Bogart, L. J., Lichtman, J. W., & Hensch, T. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0064-2 · Cited by 187
Early-life adversity and neurological disease: age-old questions and novel answers
Short, A. K., & Baram, T. Z. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0246-5 · Cited by 187
Sample composition alters associations between age and brain structure
LeWinn, K. Z., Sheridan, M. A., Keyes, K. M., Hamilton, A. D., & McLaughlin, K. A. (2017) · Nature Communications · doi:10.1038/s41467-017-00908-7 · Cited by 184
Early Experience Effects upon Cortical Dendrites: A Proposed Model for Development
Schapiro, S., & Vukovich, K. R. (1970) · Science · doi:10.1126/science.167.3916.292 · Cited by 180
Rosen, M. L., Sheridan, M. A., Sambrook, K., Meltzoff, A. N., & McLaughlin, K. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.043 · Cited by 178
Neuroanatomical Correlates of the Income-Achievement Gap
Mackey, A. P., Finn, A. S., Leonard, J. A., Jacoby-Senghor, D. S., West, M. R., Gabrieli, C. F. O., & Gabrieli, J. D. E. (2015) · Psychological Science · doi:10.1177/0956797615572233 · Cited by 176
Self-citationSensitive periods for visual calibration of the auditory space map in the barn owl optic tectum
Brainard, M. S., & Knudsen, E. I. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03929.1998 · Cited by 176
Synaptic Pruning in Development: A Computational Account
Chechik, G., Meilijson, I., & Ruppin, E. (1998) · Neural Computation · doi:10.1162/089976698300017124 · Cited by 175
Sripada, R. K., Swain, J. E., Evans, G. W., Welsh, R. C., & Liberzon, I. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.75 · Cited by 171
Integration and segregation of large-scale brain networks during short-term task automatization
Mohr, H., Wolfensteller, U., Betzel, R. F., Mišić, B., Sporns, O., Richiardi, J., & Ruge, H. (2016) · Nature Communications · doi:10.1038/ncomms13217 · Cited by 170
Savalia, N. K., Agres, P. F., Chan, M. Y., Feczko, E., Kennedy, K. M., & Wig, G. S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23397 · Cited by 167
Chan, M. Y., Na, J., Agres, P. F., Savalia, N. K., Park, D. C., & Wig, G. S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714021115 · Cited by 166
Piekarski, D. J., Boivin, J. R., & Wilbrecht, L. (2017) · Current Biology · doi:10.1016/j.cub.2017.05.027 · Cited by 165
Large and fast human pyramidal neurons associate with intelligence
Goriounova, N. A., Heyer, D. B., Wilbers, R., Verhoog, M. B., Giugliano, M., Verbist, C., Obermayer, J., Kerkhofs, A., Smeding, H. M. M., Verberne, M., et al. (2018) · eLife · doi:10.7554/elife.41714 · Cited by 165
Li, G., Lin, W., Gilmore, J. H., & Shen, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4107-14.2015 · Cited by 164
Scholtens, L. H., Schmidt, R., de Reus, M. A., & van den Heuvel, M. P. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0752-14.2014 · Cited by 160
Early-Life Adversity Accelerates Child and Adolescent Development
Belsky, J. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721419837670 · Cited by 156
The Citation Diversity Statement: A Practice of Transparency, A Way of Life
Zurn, P., Bassett, D. S., & Rust, N. C. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.06.009 · Cited by 155
Self-citationAge-Related Differences in Cortical Thickness Vary by Socioeconomic Status
Piccolo, L. D. R., Merz, E. C., He, X., Sowell, E. R., Noble, K. G., & Pediatric Imaging, N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162511 · Cited by 153
Heller, A. S., Shi, T. C., Ezie, C. E. C., Reneau, T. R., Baez, L. M., Gibbons, C. J., & Hartley, C. A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0636-4 · Cited by 150
The “Task B problem” and other considerations in developmental functional neuroimaging
Church, J. A., Petersen, S. E., & Schlaggar, B. L. (2010) · Human Brain Mapping · doi:10.1002/hbm.21036 · Cited by 148
Greifzu, F., Pielecka-Fortuna, J., Kalogeraki, E., Krempler, K., Favaro, P. D., Schlüter, O. M., & Löwel, S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313385111 · Cited by 144
Associations between Neighborhood SES and Functional Brain Network Development
Tooley, U. A., Mackey, A. P., Ćirić, R., Ruparel, K., Moore, T. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz066 · Cited by 142
Self-citationBelsky, J., Ruttle, P. L., Boyce, W. T., Armstrong, J. M., & Essex, M. J. (2015) · Developmental Psychology · doi:10.1037/dev0000017 · Cited by 141
Barch, D. M., Pagliaccio, D., Belden, A. C., Harms, M. P., Gaffrey, M. S., Sylvester, C. M., Tillman, R., & Luby, J. L. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15081014 · Cited by 139
Brain size, life history, and metabolism at the marsupial/placental dichotomy
Weisbecker, V., & Goswami, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906486107 · Cited by 136
Multiscale Structure–Function Gradients in the Neonatal Connectome
Larivière, S., de Wael, R. V., Hong, S., Paquola, C., Tavakol, S., Lowe, A. J., Schrader, D. V., & Bernhardt, B. C. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz069 · Cited by 136
Zhu, J., Apparsundaram, S., Bardo, M. T., & Dwoskin, L. P. (2005) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2005.03130.x · Cited by 135
Leal‐Galicia, P., Castañeda‐Bueno, M., Quiroz‐Baez, R., & Arias, C. (2008) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2008.07.005 · Cited by 132
Intrinsic Functional Brain Architecture Derived from Graph Theoretical Analysis in the Human Fetus
Thomason, M. E., Brown, J. A., Dassanayake, M. T., Shastri, R., Marusak, H. A., Hernandez-Andrade, E., Yeo, L., Mody, S., Berman, S., Hassan, S. S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094423 · Cited by 130
Bridging Cytoarchitectonics and Connectomics in Human Cerebral Cortex
van den Heuvel, M. P., Scholtens, L. H., Barrett, L. F., Hilgetag, C. C., & de Reus, M. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2630-15.2015 · Cited by 129
Experience-dependent plasticity and modulation of growth regulatory molecules at central synapses
Foscarin, S., Ponchione, D., Pajaj, E., Leto, K., Gawlak, M., Wilczynski, G. M., Rossi, F., & Carulli, D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016666 · Cited by 128
Distinctions among real and apparent respiratory motions in human fMRI data
Power, J. D., Lynch, C. J., Silver, B., Dubin, M. J., Martin, A. D., & Jones, R. M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116041 · Cited by 121
King, K. M., Littlefield, A. K., McCabe, C. J., Mills, K. L., Flournoy, J. C., & Chassin, L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.009 · Cited by 117
James-Todd, T. M., Tehranifar, P., Rich-Edwards, J. W., Titievsky, L., & Terry, M. B. (2010) · Annals of Epidemiology · doi:10.1016/j.annepidem.2010.08.006 · Cited by 116
Nicotinic Acetylcholine Receptors in Sensory Cortex: Figure 1
Metherate, R. (2004) · Learning & Memory · doi:10.1101/lm.69904 · Cited by 116
Finn, A. S., Minas, J. E., Leonard, J., Mackey, A. P., Salvatore, J., Goetz, C., West, M. R., Gabrieli, C. F. O., & Gabrieli, J. D. E. (2016) · Developmental Science · doi:10.1111/desc.12450 · Cited by 114
Self-citationTerahertz and far-infrared windows opened at Dome A in Antarctica
Shi, S., Paine, S. N., Yao, Q., Lin, Z.-H., Li, X., Duan, W., Matsuo, H., Zhang, Q., Yang, J., Ashley, M. C. B., et al. (2016) · Nature Astronomy · doi:10.1038/s41550-016-0001 · Cited by 111
Graph theoretical modeling of baby brain networks
Zhao, T., Xu, Y., & Yong He, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.038 · Cited by 108
Noble, K. G., Korgaonkar, M. S., Grieve, S. M., & Brickman, A. M. (2013) · Developmental Science · doi:10.1111/desc.12077 · Cited by 105
Judd, N., Sauce, B., Wiedenhoeft, J., Tromp, J., Chaarani, B., Schliep, A., van Noort, B., Penttilä, J., Grimmer, Y., Insensee, C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2001228117 · Cited by 105
Childhood Social Disadvantage and Pubertal Timing: A National Birth Cohort From Australia
Sun, Y., Mensah, F. K., Azzopardi, P. S., Patton, G. C., & Wake, M. A. (2017) · PEDIATRICS · doi:10.1542/peds.2016-4099 · Cited by 102
Herringa, R. J., Burghy, C. A., Stodola, D. E., Fox, M. E., Davidson, R. J., & Essex, M. J. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.03.003 · Cited by 101
Mechanisms of Connectome Development
Kaiser, M. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.05.010 · Cited by 99
Environmental Influences on Infant Cortical Thickness and Surface Area
Jha, S. C., Xia, K., Ahn, M., Girault, J. B., Li, G., Wang, L., Shen, D. G., Zou, F., Hongtu Zhu, B., Styner, M. A., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy020 · Cited by 99
Sear, R., Sheppard, P., & Coall, D. A. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0124 · Cited by 99
Modeling the evolution of sensitive periods
Frankenhuis, W. E., & Walasek, N. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100715 · Cited by 99
Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience
Bassett, D. S., Xia, C. H., & Satterthwaite, T. D. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.015 · Cited by 98
Self-citationAustin, M. K., Chen, E., Ross, K. M., McEwen, L. M., Maclsaac, J. L., Kobor, M. S., & Miller, G. E. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.07.007 · Cited by 98
Reproductive tradeoffs of learning in a butterfly
Snell‐Rood, E. C., Davidowitz, G., & Papaj, D. R. (2011) · Behavioral Ecology · doi:10.1093/beheco/arq169 · Cited by 97
The evolution of sensitive periods in a model of incremental development
Panchanathan, K., & Frankenhuis, W. E. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2015.2439 · Cited by 97
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
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
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 88
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
Volkow, N. D., Gordon, J. A., & Freund, M. P. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3803 · Cited by 88
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
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 83
Manzano-Nieves, G., Bravo, M., Baskoylu, S., & Bath, K. G. (2020) · eLife · doi:10.7554/elife.55263 · Cited by 83
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 81
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
Individual Differences in Developmental Plasticity May Result From Stochastic Sampling
Frankenhuis, W. E., & Panchanathan, K. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611412602 · Cited by 77
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 76
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 75
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
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 72
Gianaros, P. J., Kuan, D. C.-H., Marsland, A. L., Sheu, L. K., Hackman, D. A., Miller, K., & Manuck, S. B. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv233 · Cited by 71
Current methods and limitations for longitudinal fMRI analysis across development
Madhyastha, T. M., Peverill, M., Koh, N., McCabe, C. J., Flournoy, J. C., Mills, K., King, K. M., Pfeifer, J. H., & McLaughlin, K. A. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.006 · Cited by 71
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 69
(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
Self-citationSocioeconomic disadvantage and altered corticostriatal circuitry in urban youth
Marshall, N. A., Marusak, H. A., Sala‐Hamrick, K., Crespo, L. M., Rabinak, C. A., & Thomason, M. E. (2018) · Human Brain Mapping · doi:10.1002/hbm.23978 · Cited by 65
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
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 63
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 63
Chao, L. L., Tosun, D., Woodward, S. H., Kaufer, D., & Neylan, T. C. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00333 · Cited by 59
Cited by
Sorted by citations
Ellis, B. J., Sheridan, M. A., Belsky, J., & McLaughlin, K. A. (2022) · Development and Psychopathology · doi:10.1017/s0954579421001838 · Cited by 406
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 225
Self-citationNeuroanatomical 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 194
Gee, D. G. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21090944 · Cited by 148
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 158
Metadata
- Authors
- Tooley, U. A., Bassett, D. S., & Mackey, A. P.
- Affiliations
- University of Pennsylvania (US)
- Santa Fe Institute (US)
- Corresponding author
- Mackey, Allyson P.
- Venue
- Nature reviews. Neuroscience
- Published
- 2021-04-28
- Volume
- 22
- Issue
- 6
- Pages
- 372-384
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review