Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 63

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Association Between Socioeconomic Status and In Utero Fetal Brain Development

Lu, Yuan-Chiao, Kapse, Kushal, Andersen, Nicole, Quistorff, Jessica, Lopez, Catherine, Fry, Andrea, Cheng, Jenhao, Andescavage, Nickie, Wu, Yao, Espinosa, Kristina, Vezina, Gilbert, du Plessis, Adre, Limperopoulos, Catherine·2021·JAMA Network Open
DOI 10.1001/jamanetworkopen.2021.3526
Open this paper in CoChat — free account

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamanetworkopen.2021.3526

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 9 references

Research works printed but not linked: 68

  1. Hurt, 2016, Effect of socioeconomic status disparity on child language and neural outcome: how early is early?, Pediatr Res, 79, 148, 10.1038/pr.2015.202 · DOI
  2. Raizada, 2008, Socioeconomic status predicts hemispheric specialisation of the left inferior frontal gyrus in young children., Neuroimage, 40, 1392, 10.1016/j.neuroimage.2008.01.021 · DOI · Paper page
  3. Bradley, 2002, Socioeconomic status and child development., Annu Rev Psychol, 53, 371, 10.1146/annurev.psych.53.100901.135233 · DOI · Paper page
  4. McLoyd, 1998, Socioeconomic disadvantage and child development., Am Psychol, 53, 185, 10.1037/0003-066X.53.2.185 · DOI · Paper page
  5. Eckert, 2001, Planar asymmetry tips the phonological playground and environment raises the bar., Child Dev, 72, 988, 10.1111/cdev.2001.72.issue-4 · DOI
  6. Betancourt, 2016, Effect of socioeconomic status (SES) disparity on neural development in female African-American infants at age 1 month., Dev Sci, 19, 947, 10.1111/desc.2016.19.issue-6 · DOI
  7. Jednoróg, 2012, The influence of socioeconomic status on children’s brain structure., PLoS One, 7, 10.1371/journal.pone.0042486 · DOI
  8. Hanson, 2011, Association between income and the hippocampus., PLoS One, 6, 10.1371/journal.pone.0018712 · DOI
  9. Lange, 2010, Associations between IQ, total and regional brain volumes, and demography in a large normative sample of healthy children and adolescents., Dev Neuropsychol, 35, 296, 10.1080/87565641003696833 · DOI
  10. Brain Development Cooperative Group, 2012, Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI Study of Normal Brain Development., Cereb Cortex, 22, 1, 10.1093/cercor/bhr018 · DOI
  11. Lawson, 2013, Associations between children’s socioeconomic status and prefrontal cortical thickness., Dev Sci, 16, 641, 10.1111/desc.2013.16.issue-5 · DOI
  12. Noble, 2007, Socioeconomic gradients predict individual differences in neurocognitive abilities., Dev Sci, 10, 464, 10.1111/desc.2007.10.issue-4 · DOI
  13. Ritsher, 2001, Inter-generational longitudinal study of social class and depression: a test of social causation and social selection models., Br J Psychiatry Suppl, 40, s84, 10.1192/bjp.178.40.s84 · DOI
  14. Kainz, 2015, Fast volume reconstruction from motion corrupted stacks of 2D slices., IEEE Trans Med Imaging, 34, 1901, 10.1109/TMI.2015.2415453 · DOI · Paper page
  15. Makropoulos, 2014, Automatic whole brain MRI segmentation of the developing neonatal brain., IEEE Trans Med Imaging, 33, 1818, 10.1109/TMI.2014.2322280 · DOI
  16. Makropoulos, 2016, Regional growth and atlasing of the developing human brain., Neuroimage, 125, 456, 10.1016/j.neuroimage.2015.10.047 · DOI
  17. Shattuck, 2002, BrainSuite: an automated cortical surface identification tool., Med Image Anal, 6, 129, 10.1016/S1361-8415(02)00054-3 · DOI
  18. Shimony, 2016, Comparison of cortical folding measures for evaluation of developing human brain., Neuroimage, 125, 780, 10.1016/j.neuroimage.2015.11.001 · DOI
  19. Rodriguez-Carranza, 2008, A framework for in vivo quantification of regional brain folding in premature neonates., Neuroimage, 41, 462, 10.1016/j.neuroimage.2008.01.008 · DOI
  20. Mietchen, 2009, Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution., Front Neuroinform, 3, 25, 10.3389/neuro.11.025.2009 · DOI
  21. Kochunov, 2012, A library of cortical morphology analysis tools to study development, aging and genetics of cerebral cortex., Neuroinformatics, 10, 81, 10.1007/s12021-011-9127-9 · DOI
  22. Engelhardt, 2015, Regional impairments of cortical folding in premature infants., Ann Neurol, 77, 154, 10.1002/ana.v77.1 · DOI
  23. Moeskops, 2015, Development of cortical morphology evaluated with longitudinal MR brain images of preterm infants., PLoS One, 10, 10.1371/journal.pone.0131552 · DOI
  24. Lefèvre, 2016, Are developmental trajectories of cortical folding comparable between cross-sectional datasets of fetuses and preterm newborns?, Cereb Cortex, 26, 3023, 10.1093/cercor/bhv123 · DOI · Paper page
  25. Leijser, 2018, Imaging evidence of the effect of socio-economic status on brain structure and development., Semin Pediatr Neurol, 27, 26, 10.1016/j.spen.2018.03.004 · DOI
  26. Dubois, 2008, Mapping the early cortical folding process in the preterm newborn brain., Cereb Cortex, 18, 1444, 10.1093/cercor/bhm180 · DOI
  27. Hill, 2010, A surface-based analysis of hemispheric asymmetries and folding of cerebral cortex in term-born human infants., J Neurosci, 30, 2268, 10.1523/JNEUROSCI.4682-09.2010 · DOI
  28. Van Essen, 2005, A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex., Neuroimage, 28, 635, 10.1016/j.neuroimage.2005.06.058 · DOI · Paper page
  29. Li, 2014, Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age., J Neurosci, 34, 4228, 10.1523/JNEUROSCI.3976-13.2014 · DOI · Paper page
  30. Schaer, 2008, A surface-based approach to quantify local cortical gyrification., IEEE Trans Med Imaging, 27, 161, 10.1109/TMI.2007.903576 · DOI
  31. Tosun, 2015, Cortical thickness and sulcal depth: insights on development and psychopathology in paediatric epilepsy., BJPsych Open, 1, 129, 10.1192/bjpo.bp.115.001719 · DOI
  32. Pienaar, 2008, A methodology for analyzing curvature in the developing brain from preterm to adult., Int J Imaging Syst Technol, 18, 42, 10.1002/(ISSN)1098-1098 · DOI
  33. Garcia, 2017, Statistical approaches to longitudinal data analysis in neurodegenerative diseases: Huntington’s disease as a model., Curr Neurol Neurosci Rep, 17, 14, 10.1007/s11910-017-0723-4 · DOI
  34. Daniels, 2003, Modelling the random effects covariance matrix in longitudinal data., Stat Med, 22, 1631, 10.1002/(ISSN)1097-0258 · DOI
  35. Andescavage, 2017, In vivo assessment of placental and brain volumes in growth-restricted fetuses with and without fetal Doppler changes using quantitative 3D MRI., J Perinatol, 37, 1278, 10.1038/jp.2017.129 · DOI
  36. Hair, 2015, Association of child poverty, brain development, and academic achievement., JAMA Pediatr, 169, 822, 10.1001/jamapediatrics.2015.1475 · DOI
  37. Farah, 2017, The neuroscience of socioeconomic status: correlates, causes, and consequences., Neuron, 96, 56, 10.1016/j.neuron.2017.08.034 · DOI · Paper page
  38. Yang, 2017, Individual and regional association between socioeconomic status and uncertainty stress, and life stress: a representative nationwide study of China., Int J Equity Health, 16, 118, 10.1186/s12939-017-0618-7 · DOI
  39. Sverke, 2002, No security: a meta-analysis and review of job insecurity and its consequences., J Occup Health Psychol, 7, 242, 10.1037/1076-8998.7.3.242 · DOI · Paper page
  40. Heaney, 1994, Chronic job insecurity among automobile workers: effects on job satisfaction and health., Soc Sci Med, 38, 1431, 10.1016/0277-9536(94)90281-X · DOI
  41. Wanberg, 2012, The individual experience of unemployment., Annu Rev Psychol, 63, 369, 10.1146/annurev-psych-120710-100500 · DOI
  42. Barbeau, 2004, Working class matters: socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000., Am J Public Health, 94, 269, 10.2105/AJPH.94.2.269 · DOI
  43. Sorensen, 2004, Reducing social disparities in tobacco use: a social-contextual model for reducing tobacco use among blue-collar workers., Am J Public Health, 94, 230, 10.2105/AJPH.94.2.230 · DOI
  44. Landsbergis, 2003, Lower socioeconomic status among men in relation to the association between job strain and blood pressure., Scand J Work Environ Health, 29, 206, 10.5271/sjweh.723 · DOI
  45. Ham, 2011, Occupation and workplace policies predict smoking behaviors: analysis of national data from the current population survey., J Occup Environ Med, 53, 1337, 10.1097/JOM.0b013e3182337778 · DOI
  46. Neiss, 2000, Parental education and child’s verbal IQ in adoptive and biological families in the National Longitudinal Study of Adolescent Health., Behav Genet, 30, 487, 10.1023/A:1010254918997 · DOI
  47. MacKinnon, 2007, Mediation analysis., Annu Rev Psychol, 58, 593, 10.1146/annurev.psych.58.110405.085542 · DOI · Paper page
  48. Li, 2020, Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder., Neuropsychopharmacology, 45, 703, 10.1038/s41386-019-0563-9 · DOI
  49. Dowlati, 2010, A meta-analysis of cytokines in major depression., Biol Psychiatry, 67, 446, 10.1016/j.biopsych.2009.09.033 · DOI · Paper page
  50. Qiu, 2014, Regional increases of cortical thickness in untreated, first-episode major depressive disorder., Transl Psychiatry, 4, 10.1038/tp.2014.18 · DOI
  51. Abé, 2020, Longitudinal cortical thickness changes in bipolar disorder and the relationship to genetic risk, mania, and lithium use., Biol Psychiatry, 87, 271, 10.1016/j.biopsych.2019.08.015 · DOI
  52. Coussons-Read, 2007, Psychosocial stress increases inflammatory markers and alters cytokine production across pregnancy., Brain Behav Immun, 21, 343, 10.1016/j.bbi.2006.08.006 · DOI · Paper page
  53. Hantsoo, 2019, Inflammation: a proposed intermediary between maternal stress and offspring neuropsychiatric risk., Biol Psychiatry, 85, 97, 10.1016/j.biopsych.2018.08.018 · DOI · Paper page
  54. Entringer, 2008, Influence of prenatal psychosocial stress on cytokine production in adult women., Dev Psychobiol, 50, 579, 10.1002/(ISSN)1098-2302 · DOI
  55. Falkai, 2007, Disturbed frontal gyrification within families affected with schizophrenia., J Psychiatr Res, 41, 805, 10.1016/j.jpsychires.2006.07.018 · DOI
  56. Harris, 2004, Abnormal cortical folding in high-risk individuals: a predictor of the development of schizophrenia?, Biol Psychiatry, 56, 182, 10.1016/j.biopsych.2004.04.007 · DOI
  57. Harris, 2004, Gyrification in first-episode schizophrenia: a morphometric study., Biol Psychiatry, 55, 141, 10.1016/S0006-3223(03)00789-3 · DOI
  58. Stanfield, 2008, Increased right prefrontal cortical folding in adolescents at risk of schizophrenia for cognitive reasons., Biol Psychiatry, 63, 80, 10.1016/j.biopsych.2007.04.012 · DOI
  59. Sasaki, 2015, SPECT findings in autism spectrum disorders and medically refractory seizures., Epilepsy Behav, 47, 167, 10.1016/j.yebeh.2014.10.033 · DOI
  60. Benavente-Fernández, 2020, Socioeconomic status and brain injury in children born preterm: modifying neurodevelopmental outcome., Pediatr Res, 87, 391, 10.1038/s41390-019-0646-7 · DOI
  61. Benavente-Fernández, 2019, Association of socioeconomic status and brain injury with neurodevelopmental outcomes of very preterm children., JAMA Netw Open, 2, e192914, 10.1001/jamanetworkopen.2019.2914 · DOI
  62. Kishiyama, 2009, Socioeconomic disparities affect prefrontal function in children., J Cogn Neurosci, 21, 1106, 10.1162/jocn.2009.21101 · DOI
  63. Hendrickson, 2017, Cortical gyrification is abnormal in children with prenatal alcohol exposure., Neuroimage Clin, 15, 391, 10.1016/j.nicl.2017.05.015 · DOI
  64. Cao, 2017, Lifespan gyrification trajectories of human brain in healthy individuals and patients with major psychiatric disorders., Sci Rep, 7, 511, 10.1038/s41598-017-00582-1 · DOI
  65. DeCarli, 2008, Brain behavior relationships among African Americans, Whites, and Hispanics., Alzheimer Dis Assoc Disord, 22, 382, 10.1097/WAD.0b013e318185e7fe · DOI
  66. Choi, 2020, The aging slopes of brain structures vary by ethnicity and sex: evidence from a large magnetic resonance imaging dataset from a single scanner of cognitively healthy elderly people in Korea., Front Aging Neurosci, 12, 233, 10.3389/fnagi.2020.00233 · DOI
  67. Winter? B. A very basic tutorial for performing linear mixed effects analyses: tutorial 2. Quantitative Undergraduate Biology Education and Synthesis. Accessed February 18, 2021. doi:10.25334/Q4W716 · DOI
  68. Papini? C, Palaniyappan? L, Kroll? J, Froudist-Walsh? S, Murray? RM, Nosarti? C. Altered cortical gyrification in adults who were born very preterm and its associations with cognition and mental health.? bioRxiv. 2019. doi:10.1101/2019.12.13.871558 · DOI

Cited by

See all 63

Metadata

Authors
Lu, Y.-C., Kapse, K., Andersen, N., Quistorff, J., Lopez, C., Fry, A., Cheng, J., Andescavage, N., Wu, Y., Espinosa, K., Vezina, G., du Plessis, A., & Limperopoulos, C.
Venue
JAMA Network Open
Publisher
American Medical Association (AMA)
Published
2021-03-29
Volume
4
Issue
3
Pages
e213526
ISSN
2574-3805
DOI
10.1001/jamanetworkopen.2021.3526
Cited by
63
References
9
Language
en

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Association Between Socioeconomic Status and In Utero Fetal Brain Development. https://app.cochat.ai/papers/10.1001/jamanetworkopen.2021.3526
The paper
Lu, Y.-C., Kapse, K., Andersen, N., Quistorff, J., Lopez, C., Fry, A., Cheng, J., Andescavage, N., Wu, Y., Espinosa, K., Vezina, G., du Plessis, A., & Limperopoulos, C. (2021). Association Between Socioeconomic Status and In Utero Fetal Brain Development. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2021.3526

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.