The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Socioeconomic status and structural brain development
Open accessAbstract
Recent advances in neuroimaging methods have made accessible new ways of disentangling the complex interplay between genetic and environmental factors that influence structural brain development. In recent years, research investigating associations between socioeconomic status (SES) and brain development have found significant links between SES and changes in brain structure, especially in areas related to memory, executive control, and emotion. This review focuses on studies examining links between structural brain development and SES disparities of the magnitude typically found in developing countries. We highlight how highly correlated measures of SES are differentially related to structural changes within the brain.
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
Figures
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?
In the citing paper
“Recent studies indicate that socio-economic status (SES) can influence the structure of the developing brain166, 167.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [166]
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
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989
Socioeconomic status and child development
Bradley, R. H., & Corwyn, R. F. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135233 · Cited by 5,484
Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000) · Health Psychology · doi:10.1037/0278-6133.19.6.586 · Cited by 5,080
Meaningful Differences in the Everyday Experience of Young American Children
Panagos, R. J. (1998) · Remedial and Special Education · doi:10.1177/074193259801900609 · Cited by 4,183
Socioeconomic disadvantage and child development
McLoyd, V. C. (1998) · American Psychologist · doi:10.1037/0003-066x.53.2.185 · Cited by 3,763
Leventhal, T., & Brooks-Gunn, J. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.309 · Cited by 3,550
The effects of poverty on children.
Brooks-Gunn, J., & Duncan, G. J. (1997) · The Future of Children · doi:10.2307/1602387 · Cited by 2,837
Socioeconomic 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
Hoff, E. (2003) · Child Development · doi:10.1111/1467-8624.00612 · Cited by 2,346
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Cited by
Sorted by citations
Items 101–200 of 524
Murtha, K. A., Larsen, B., Pines, A. R., Parkes, L., Moore, T. M., Adebimpe, A., Bertolero, M. A., Alexander‐Bloch, A. F., Calkins, M. E., Dávila, D. G., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac120 · Cited by 37
A Neuroecosocial Perspective on Adolescent Development
Choudhury, S., Pi‐Sunyer, B. P., & Blakemore, S. (2023) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-120321-011511 · Cited by 49
Shaked, D., Katzel, L. I., Seliger, S. L., Gullapalli, R. P., Davatzikos, C. A., Erus, G., Evans, M. K., Zonderman, A. B., & Waldstein, S. R. (2018) · Neuropsychology · doi:10.1037/neu0000484 · Cited by 32
Tsimpli, I. M., Vogelzang, M., Balasubramanian, A., Marinis, T., Alladi, S., Reddy, A., & Panda, M. (2020) · Languages · doi:10.3390/languages5010010 · Cited by 41
Kiesow, H., Uddin, L. Q., Bernhardt, B. C., Kable, J. W., & Bzdok, D. (2021) · Communications Biology · doi:10.1038/s42003-021-02206-x · Cited by 35
Paid maternal leave is associated with infant brain function at 3 months of age
Brito, N. H., Werchan, D. M., Brandes-Aitken, A. N., Yoshikawa, H., Greaves, A., & Zhang, M. (2022) · Child Development · doi:10.1111/cdev.13765 · Cited by 34
Self-citationDisparities in Diffuse Cortical White Matter Integrity Between Socioeconomic Groups
Shaked, D., Leibel, D. K., Katzel, L. I., Davatzikos, C. A., Gullapalli, R. P., Seliger, S. L., Erus, G., Evans, M. K., Zonderman, A. B., & Waldstein, S. R. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00198 · Cited by 32
Marshall, A. T., McConnell, R., Lanphear, B. P., Thompson, W. K., Herting, M. M., & Sowell, E. R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258469 · Cited by 35
Effect of childhood trauma on cognitive functions in a sample of Chinese patients with schizophrenia
Li, X., Bo, Q., Zhang, G., Zheng, W., Wang, Z., Li, A., Tian, Q., Liu, J., Tang, Y., & Wang, C. (2017) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2017.04.010 · Cited by 32
Considering the interconnected nature of social identities in neuroimaging research
Dhamala, E., Ricard, J. A., Uddin, L. Q., Galea, L. A. M., Jacobs, E. G., Yip, S. W., Yeo, B. T. T., Chakravarty, M. M., & Holmes, A. J. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01832-y · Cited by 29
Dufford, A. J., Evans, G. W., Dmitrieva, J., Swain, J. E., Liberzon, I., & Kim, P. (2020) · Human Brain Mapping · doi:10.1002/hbm.25031 · Cited by 30
Makowski, C., Brown, T. T., Zhao, W., Hagler, D. J., Parekh, P., Garavan, H., Nichols, T. E., Jernigan, T. L., & Dale, A. M. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae223 · Cited by 28
Ku, B. S., Aberizk, K., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Carrión, R. E., Compton, M. T., Cornblatt, B. A., Druss, B. G., et al. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac055 · Cited by 30
Craske, M. G., Herzallah, M. M., Nusslock, R., & Patel, V. (2023) · Nature Mental Health · doi:10.1038/s44220-022-00012-w · Cited by 31
Qiu, Y., & Ye, P. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1081608 · Cited by 44
Language development and disorders: Possible genes and environment interactions
Onnis, L., Truzzi, A., & Ma, X. (2018) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2018.06.015 · Cited by 35
Rose, E. J., Picci, G., & Fishbein, D. H. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00399 · Cited by 33
Moored, K., Chan, T., Varma, V. R., Chuang, Y., Parisi, J. M., & Carlson, M. C. (2018) · The Journals of Gerontology Series B · doi:10.1093/geronb/gby150 · Cited by 28
Neurobiological Bases of Social Networks
Han, M., Jiang, G., Luo, H., & Shao, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.626337 · Cited by 35
Diffusion kurtosis imaging of gray matter in schizophrenia
McKenna, F. F., Miles, L., Babb, J. S., GOFF, D. C., & Lazar, M. (2019) · Cortex · doi:10.1016/j.cortex.2019.08.013 · Cited by 27
Neural impact of neighborhood socioeconomic disadvantage in traumatically injured adults
Webb, E. K., Tomas, C. W., Huggins, A. A., Fitzgerald, J. M., Bennett, K. P., Bird, C. M., Parisi, E. A., Kallenbach, M., Miskovich, T. A., Krukowski, J. L., et al. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100385 · Cited by 28
Hardi, F. A., Goetschius, L. G., Peckins, M. K., Jeanne Brooks-gunn, B., McLanahan, S., McLoyd, V. C., Lopez‐Duran, N. L., Mitchell, C. M., Hyde, L. W., & Monk, C. S. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01801 · Cited by 27
Webb, E. K., Cardenas‐Iniguez, C., & Douglas, R. D. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2022.958545 · Cited by 30
Troller‐Renfree, S. V., Sperber, J. F., Hart, E. R., Costanzo, M. A., Gennetian, L. A., Meyer, J. S., Fox, N. A., & Noble, K. G. (2023) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108683 · Cited by 30
Self-citationTrends in Intracranial and Cerebral Volumes of Framingham Heart Study Participants Born 1930 to 1970
DeCarli, C. S., Maillard, P., Pase, M. P., Beiser, A., Kojis, D. J., Satizábal, C. L., Himali, J. J., Aparicio, H. J., Fletcher, E. M., & Seshadri, S. S. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2024.0469 · Cited by 26
Raver, C. C., & Blair, C. (2020) · Infant and Child Development · doi:10.1002/icd.2175 · Cited by 28
Strengths and weakness of neuroscientific investigations of childhood poverty: future directions
Lipina, S. J., & Segretin, M. S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00053 · Cited by 25
Miller, A. L., Stein, S. F., Sokol, R. L., Varisco, R., Trout, P., Julian, M. M., Ribaudo, J., Kay, J. B., Pilkauskas, N., Gardner‐Neblett, N., et al. (2022) · Infant Mental Health Journal · doi:10.1002/imhj.21996 · Cited by 27
Hastings, P. D., Guyer, A. E., & Parra, L. A. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.06.004 · Cited by 28
Botdorf, M., Dunstan, J., Sorcher, L. K., Dougherty, L. R., & Riggins, T. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101138 · Cited by 26
McLachlan, K., Zhou, D., Little, G. E., Rasmussen, C., Pei, J. R., Andrew, G., Reynolds, J. N., & Beaulieu, C. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00223 · Cited by 24
Kozak, K., Greaves, A., Waldfogel, J., Angal, J., Elliott, A. J., Fifer, W. P., & Brito, N. H. (2021) · Infancy · doi:10.1111/infa.12399 · Cited by 24
Self-citationRace, Socioeconomic Status, and Cerebellum Cortex Fractional Anisotropy in Pre-Adolescents
Assari, S., & Boyce, S. (2021) · Adolescents · doi:10.3390/adolescents1020007 · Cited by 23
Maternal behaviors mediate the relationship between socioeconomic status and joint attention
Koşkulu‐Sancar, S., Küntay, A. C., & Uzundağ, B. A. (2021) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2021.101291 · Cited by 31
Miller, J. G., López, V. M. Z., Buthmann, J. L., Garcia, J. M., & Gotlib, I. H. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.03.005 · Cited by 25
Turesky, T. K., Sanfilippo, J. S., Zuk, J., Ahtam, B., Gagoski, B. A., Lee, A., Garrisi, K., Dunstan, J., Carruthers, C., Vanderauwera, J., et al. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02560-4 · Cited by 20
How developmental neuroscience can help address the problem of child poverty
Pollak, S. D., & Wolfe, B. L. (2020) · Development and Psychopathology · doi:10.1017/s0954579420001145 · Cited by 27
Far and wide: Associations between childhood socio-economic status and brain connectomics
Johnson, A., Bathelt, J., Akarca, D., Crickmore, G., & Astle, D. E. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100888 · Cited by 29
Differences in educational opportunity predict white matter development
Roy, E. A., Rinsveld, A. M. V., Nedelec, P., Richie-Halford, A., Rauschecker, A. M., Sugrue, L. P., Rokem, A., McCandliss, B. D., & Yeatman, J. D. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101386 · Cited by 22
Socioeconomic and Experiential Influences on the Neurobiology of Language Development
Romeo, R. R. (2019) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2019_persp-19-00073 · Cited by 25
Su, M., de Schotten, M. T., Zhao, J., Song, S., Zhou, W., Gong, G., McBride, C. A., Tardif, T. Z., Ramus, F., & Shu, H. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100767 · Cited by 24
Green space structures and schizophrenia incidence in Taiwan: is there an association?
Chang, H.-T., Wu, C., Wang, J., Chen, P. S., Wang, Y., & Su, H.-J. J. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab91e8 · Cited by 24
Su, M., Li, P., Zhou, W., & Hua Shu, A. (2020) · Brain and Cognition · doi:10.1016/j.bandc.2020.105655 · Cited by 23
Early life socioeconomic status predicts cognition regardless of education level
Bertola, L., Benseñor, I. M., Barreto, S. M., Giatti, L., Moreno, A. B., Viana, M. C., Lotufo, P. A., & Suemoto, C. K. (2021) · European Journal of Neurology · doi:10.1111/ene.15042 · Cited by 24
Trajectories of socioeconomic inequality in early child development: a cohort analysis
Houweling, T. A. J., Groeniger, J. O., Jansen, P. W., van Lier, P. A. C., Horoz, N., Buil, J. M., & van Lenthe, F. J. (2022) · International Journal for Equity in Health · doi:10.1186/s12939-022-01675-8 · Cited by 24
Hahm, S., Lotze, M., Domín, M., & Schmidt, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.035 · Cited by 26
Socioeconomic Risk for Adolescent Cognitive Control and Emerging Risk‐Taking Behaviors
Brieant, A. E., Peviani, K. M., Lee, J. E., King‐Casas, B., & Kim‐Spoon, J. (2020) · Journal of Research on Adolescence · doi:10.1111/jora.12583 · Cited by 23
Korecky‐Kröll, K., Dobek, N., Blaschitz, V., Sommer-Lolei, S., Boniecki, M. S., Uzunkaya-Sharma, K., & Dressler, W. U. (2018) · Language and Speech · doi:10.1177/0023830918796691 · Cited by 22
Godoy, P. B. G., Simionato, N. M., de Mello, C. B., & Suchecki, D. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09446-4 · Cited by 23
Torre, G.-A. A., Matejko, A. A., & Eden, G. F. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100856 · Cited by 21
Smoking mediates the relationship between SES and brain volume: The CARDIA study
Dougherty, R. J., Moonen, J. E. F., Yaffe, K. S., Sidney, S., Davatzikos, C. A., Habes, M., & Launer, L. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239548 · Cited by 23
Honestly hungry: Acute hunger does not increase unethical economic behaviour
Elbæk, C. T., Mitkidis, P., Aarøe, L., & Otterbring, T. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104312 · Cited by 23
Singh, L., & Rajendra, S. J. (2024) · Developmental Science · doi:10.1111/desc.13521 · Cited by 23
The biological side of social determinants: Neural costs of childhood poverty
Lipina, S. J. (2016) · Prospects · doi:10.1007/s11125-017-9390-0 · Cited by 25
Turesky, T. K., Shama, T., Kakon, S. H., Haque, R., Islam, N., Someshwar, A., Gagoski, B. A., Petri, W. A., Nelson, C. A., & Gaab, N. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101029 · Cited by 19
Kasneci, E., Kasneci, G., Trautwein, U., Appel, T., Tibus, M., Jaeggi, S. M., & Gerjets, P. H. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264316 · Cited by 24
The Critical Roles of Early Development, Stress, and Environment in the Course of Psychosis
Vargas, T., & Mittal, V. A. (2022) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121020-032354 · Cited by 27
Ong, M., Tuan, T. A., Poh, J. S., Teh, A. L., Chen, L., Pan, H., MacIsaac, J. L., Kobor, M. S., Chong, Y. S., Kwek, K. Y. C., et al. (2019) · Genes Brain & Behavior · doi:10.1111/gbb.12576 · Cited by 23
Khundrakpam, B. S., Choudhury, S., Vainik, U., Al‐Sharif, N., Bhutani, N., Jeon, S., Gold, I., & Evans, A. C. (2020) · Human Brain Mapping · doi:10.1002/hbm.25169 · Cited by 25
Čermáková, P., Andrýsková, L., Brázdil, M., & Marečková, K. (2020) · Psychological Medicine · doi:10.1017/s0033291720004754 · Cited by 20
Weiss, S. J., & Leung, C. Y. (2021) · Infant Mental Health Journal · doi:10.1002/imhj.21924 · Cited by 22
Hennessy, A., Séguin, D., Correa, S., Wang, J., Martínez-Trujillo, J., Nicolson, R., & Duerden, E. G. (2022) · Autism · doi:10.1177/13623613221127512 · Cited by 20
Gutierrez, S., Meza, E., Glymour, M. M., & Torres, J. M. (2023) · American Journal of Epidemiology · doi:10.1093/aje/kwad108 · Cited by 20
Ahmed, S. F., Tang, S., Waters, N. E., & Davis-Kean, P. E. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/xd5jy · Cited by 27
Ge, R., Yu, Y., Qi, Y. X., Fan, Y. V., Chen, S., Gao, C., Haas, S. S., Modabbernia, A., New, F., Agartz, I., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.30.523509 · Cited by 20
Thanaraju, A., Marzuki, A. A., Chan, J. K., Wong, K. Y., Phon-Amnuaisuk, P., Vafa, S., Chew, J., Chia, Y. C., & Jenkins, M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105716 · Cited by 21
Hernández-Jaña, S., Sanchez‐Martinez, J., Solis‐Urra, P., Esteban‐Cornejo, I., Castro‐Piñero, J., Sadarangani, K. P., Aguilar-Farías, N., Ferrari, G., & Cristi‐Montero, C. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.746197 · Cited by 19
Lower socioeconomic status is associated with premature brain aging
Busby, N., Newman-Norlund, S. E., Sayers, S., Newman‐Norlund, R., Wilmskoetter, J., Rorden, C., Nemati, S., Wilson, S. E., Riccardi, N., Roth, R., et al. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.06.012 · Cited by 19
Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?
Meng, Y., Li, G., Rekik, I., Zhang, H., Gao, Y., Lin, W., & Shen, D. G. (2017) · Human Brain Mapping · doi:10.1002/hbm.23555 · Cited by 19
Association between breastfeeding during infancy and white matter microstructure in early childhood
Kar, P., Reynolds, J. E., Grohs, M. N., Bell, R. C., Jarman, M., Dewey, D., & Lebel, C. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118084 · Cited by 19
Cassidy, A. R., Rofeberg, V., Bucholz, E. M., Bellinger, D. C., Wypij, D., & Newburger, J. W. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.45863 · Cited by 19
Conti, A. A., & Baldacchino, A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.708925 · Cited by 20
Influence of Socio-Economic Status on Psychopathology in Ecuadorian Children
Pérez‐Marfil, M. N., Fernández‐Alcántara, M., Fasfous, A. F., Burneo-Garcés, C., Pérez-Garcı́a, M., & Cruz‐Quintana, F. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00043 · Cited by 18
Wigdorowitz, M., Pérez, A. I. G., & Tsimpli, I. M. (2022) · International Multilingual Research Journal · doi:10.1080/19313152.2022.2069416 · Cited by 17
Lambert, K. G. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105044 · Cited by 18
Banker, S. M., Pagliaccio, D., Ramphal, B., Thomas, L. V., Dranovsky, A., & Margolis, A. E. (2020) · Hippocampus · doi:10.1002/hipo.23264 · Cited by 19
Barbu, C., Gillet, S., & Poncelet, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01078 · Cited by 21
Restructuring of amygdala subregion apportion across adolescence
Campbell, C. E., Mezher, A. F., Eckel, S. P., Tyszka, J. M., Pauli, W. M., Nagel, B. J., & Herting, M. M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100883 · Cited by 16
Childhood socioeconomic status is prospectively associated with surface morphometry in adulthood
Dufford, A. J., Evans, G. W., Liberzon, I., Swain, J. E., & Kim, P. (2021) · Developmental Psychobiology · doi:10.1002/dev.22096 · Cited by 17
Regional gray matter volume associated with exercise dependence: A voxel‐based morphometry study
Zhang, F., Wang, S., Feng, Y., Qin, K., Li, H., Wu, B., Jia, Z., & Gong, Q. (2021) · Human Brain Mapping · doi:10.1002/hbm.25585 · Cited by 15
Marshall, A. T., Hackman, D. A., Baker, F. C., Breslin, F. J., Brown, S. A., Dick, A. S., Gonzalez, M. R., Guillaumé, M., Kiss, O., Lisdahl, K. M., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.734308 · Cited by 16
Adise, S., Marshall, A. T., Kan, E., Gonzalez, M. R., & Sowell, E. R. (2023) · Health Psychology · doi:10.1037/hea0001250 · Cited by 15
Hackman, D. A., Duan, L., McConnell, E. E., Lee, W. J., Beak, A. S., & Kraemer, D. J. M. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01833 · Cited by 16
Arredondo, M. M., Kovelman, I., Satterfield, T., Hu, X., Stojanov, L., & Beltz, A. M. (2022) · Brain and Language · doi:10.1016/j.bandl.2022.105084 · Cited by 20
Ganiban, J. M., Liu, C., Zappaterra, L., An, S., Natsuaki, M. N., Neiderhiser, J. M., Reiss, D., Shaw, D. S., & Leve, L. D. (2021) · Behavior Genetics · doi:10.1007/s10519-021-10073-9 · Cited by 15
Tucker, T., Alishlash, A. S., Lebensburger, J. D., Clay, O. J., Oates, G. R., Nourani, A. R., Bhatia, S., & Murdaugh, D. L. (2022) · Sleep Medicine · doi:10.1016/j.sleep.2022.05.015 · Cited by 16
Ghosh, S., Ghosh, T., Chowdhury, S. D., Wrotniak, B. H., & Chandra, A. M. (2016) · Developmental Psychobiology · doi:10.1002/dev.21413 · Cited by 16
Educación en tiempos de pandemia: Antecedentes y recomendaciones para la discusión en Chile
Eyzaguirre, S., Foulon, C. L., & Salvatierra, V. (2020) · Estudios Públicos · doi:10.38178/07183089/1430200722 · Cited by 35
Baum, F. E. (2019) · doi:10.1093/oso/9780190258948.001.0001 · Cited by 27
Pittner, K., Rasmussen, J. M., Lim, M. M., Gilmore, J. H., Styner, M. A., Entringer, S., Wadhwa, P. D., & Buß, C. (2023) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2023.100091 · Cited by 15
Filigrana, P. A., Moon, J., Gallo, L. C., Fernández‐Rhodes, L., Perreira, K. M., Daviglus, M. L., Thyagarajan, B., Garcia‐Bedoya, O., Cai, J., Lipton, R. B., et al. (2023) · American Journal of Epidemiology · doi:10.1093/aje/kwad157 · Cited by 14
Johnson, K. K. (2019) · European Journal of Educational Sciences · doi:10.19044/ejes.s.v6a6 · Cited by 14
Dégeilh, F., Beauchamp, M. H., Leblanc, É., Daneault, V., & Bernier, A. (2019) · Developmental Neuroscience · doi:10.1159/000507616 · Cited by 15
Eghbalzad, L., Deocampo, J. A., & Conway, C. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244954 · Cited by 14
Dong, D., Wang, Y., Long, Z., Jackson, T., Chang, X., Zhou, F., & Chen, H. (2021) · Nutrients · doi:10.3390/nu13093221 · Cited by 14
Neuroimaging Investigations of Social Status and Social Hierarchies
Cloutier, J., Cardenas‐Iniguez, C., Gyurovski, I., Barakzai, A., & Li, T. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800935-2.00009-9 · Cited by 15
Cabrera, A. F., Peralta, A. M., & Kurban, E. R. (2017) · The Journal of Higher Education · doi:10.1080/00221546.2017.1368816 · Cited by 19
Electrophysiological Approaches in the Study of the Influence of Childhood Poverty on Cognition
Pietto, M. L., Kamienkowski, J. E., & Lipina, S. J. (2017) · Springer eBooks · doi:10.1007/978-3-319-68421-5_15 · Cited by 15
Weissheimer, J., Fujii, R. C., & de Souza, J. G. M. (2019) · Ilha do Desterro A Journal of English Language Literatures in English and Cultural Studies · doi:10.5007/2175-8026.2019v72n3p85 · Cited by 14
Cho, I. Y. K., & Goghari, V. M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.085 · Cited by 14
Metadata
- Authors
- Brito, N. H., & Noble, K. G.
- Affiliations
- Columbia University (US)
- Corresponding author
- Brito, Natalie H.
- Noble, Kimberly G.
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2014-09-04
- Volume
- 8
- Pages
- 276-276
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC4155174
- OpenAlex
- W2031779126
- Cited by
- 525
- References
- 69
- Citations by year
- 2026: 24 · 2025: 42 · 2024: 72 · 2023: 44 · 2022: 74 · 2021: 55 · 2020: 44 · 2019: 62 · 2018: 43 · 2017: 30 · 2016: 21 · 2015: 13
- FWCI
- 29.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Robert Wood Johnson Foundation
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Keywords
- socioeconomic status, structural brain development, brain structure, socioeconomic disparities, developing countries, gene-environment interaction, memory, executive function, emotions
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
