Socioeconomic status and functional brain development - associations in early infancy
Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐month‐olds from areas of East London with h...
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Published in | Developmental science Vol. 16; no. 5; pp. 676 - 687 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.09.2013
Wiley-Blackwell Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Abstract | Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐month‐olds from areas of East London with high socioeconomic deprivation. Between‐subject comparisons of infants from low‐ and high‐income families revealed significantly lower frontal gamma power in infants from low‐income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region‐selective differences in functional brain development associated with early infancy in low‐income families.
Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐months‐olds from areas of East London with high socioeconomic deprivation. Between‐subject comparisons of infants from low‐ and high‐income families revealed significantly lower frontal gamma power in infants from low‐income homes. Our result show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. |
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AbstractList | Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-month-olds from areas of East London with high socioeconomic deprivation. Between-subject comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region-selective differences in functional brain development associated with early infancy in low-income families.Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-month-olds from areas of East London with high socioeconomic deprivation. Between-subject comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region-selective differences in functional brain development associated with early infancy in low-income families. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-month-olds from areas of East London with high socioeconomic deprivation. Between-subject comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region-selective differences in functional brain development associated with early infancy in low-income families. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-months-olds from areas of East London with high socioeconomic deprivation. Between-subject comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes. Our result show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-month-olds from areas of East London with high socioeconomic deprivation. Between-subject comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region-selective differences in functional brain development associated with early infancy in low-income families. [PUBLICATION ABSTRACT] Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐month‐olds from areas of East London with high socioeconomic deprivation. Between‐subject comparisons of infants from low‐ and high‐income families revealed significantly lower frontal gamma power in infants from low‐income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region‐selective differences in functional brain development associated with early infancy in low‐income families. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐month‐olds from areas of East London with high socioeconomic deprivation. Between‐subject comparisons of infants from low‐ and high‐income families revealed significantly lower frontal gamma power in infants from low‐income homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. This is the first study to reveal region‐selective differences in functional brain development associated with early infancy in low‐income families. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6–9‐months‐olds from areas of East London with high socioeconomic deprivation. Between‐subject comparisons of infants from low‐ and high‐income families revealed significantly lower frontal gamma power in infants from low‐income homes. Our result show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early risk for language and attention difficulties. Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown. In this study we measured resting baseline EEG activity in the gamma frequency range in awake 6-9-month-olds from areas of East London with high socioeconomic deprivation. Between-subjects comparisons of infants from low- and high-income families revealed significantly lower frontal gamma power in infants from low-income homes homes. Similar power differences were found when comparing infants according to maternal occupation, with lower occupational status groups yielding lower power. Infant sleep, maternal education, length of gestation, and birth weight, as well as smoke exposure and bilingualism, did not explain these differences. Our results show that the effects of socioeconomic disparities on brain activity can already be detected in early infancy, potentially pointing to very early for language and attention difficulties. This is the first study to reveal region-selective differences in functional brain development associated with early infancy in low-income families. |
Author | Johnson, Mark H. Kushnerenko, Elena Murphy, Elizabeth Karmiloff-Smith, Annette Axelsson, Emma L. Moore, Derek G. Tomalski, Przemyslaw Ribeiro, Helena |
Author_xml | – sequence: 1 givenname: Przemyslaw surname: Tomalski fullname: Tomalski, Przemyslaw email: tomalski@mac.com organization: Institute for Research in Child Development, School of Psychology, University of East London, UK – sequence: 2 givenname: Derek G. surname: Moore fullname: Moore, Derek G. organization: Institute for Research in Child Development, School of Psychology, University of East London, UK – sequence: 3 givenname: Helena surname: Ribeiro fullname: Ribeiro, Helena organization: Institute for Research in Child Development, School of Psychology, University of East London, UK – sequence: 4 givenname: Emma L. surname: Axelsson fullname: Axelsson, Emma L. organization: Institute for Research in Child Development, School of Psychology, University of East London, UK – sequence: 5 givenname: Elizabeth surname: Murphy fullname: Murphy, Elizabeth organization: Institute for Research in Child Development, School of Psychology, University of East London, UK – sequence: 6 givenname: Annette surname: Karmiloff-Smith fullname: Karmiloff-Smith, Annette organization: Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck University of London, London, UK – sequence: 7 givenname: Mark H. surname: Johnson fullname: Johnson, Mark H. organization: Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck University of London, London, UK – sequence: 8 givenname: Elena surname: Kushnerenko fullname: Kushnerenko, Elena organization: Institute for Research in Child Development, School of Psychology, University of East London, UK |
BackLink | http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1026003$$DView record in ERIC https://www.ncbi.nlm.nih.gov/pubmed/24033573$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353626$$DView record from Swedish Publication Index |
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Copyright | 2013 John Wiley & Sons Ltd 2013 John Wiley & Sons Ltd. Copyright Wiley Subscription Services, Inc. Sep 2013 |
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Notes | UK Medical Research Council - No. G0701484 ark:/67375/WNG-K49Z2K6P-V Data S1. Supporting Methods. Data S2. Supporting Results. Table S1. Additional demographic data on infant childcare arrangements, finances and housing for the entire sample, and participants split by household income. Eranda Foundation ArticleID:DESC12079 UEL Promising Researcher Grant UEL School of Psychology istex:B414E622F5BDA6B9A347F450A5262F73DA529920 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 |
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PublicationTitle | Developmental science |
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References | Bayley, N. (1993). Manual for the Bayley Scales of Infant Development (2nd edn.). San Antonio, TX: Psychological Corporation. Rao, H., Betancourt, L., Giannetta, J.M., Brodsky, N.L., Korczykowski, M., Avants, B.B., Gee, J.C., Wang, J., Hurt, H., Detre, J.A., & Farah, M.J. (2010). Early parental care is important for hippocampal maturation: evidence from brain morphology in humans. NeuroImage, 49 (1), 1144-1150. Sadeh, A. (2004). A brief screening questionnaire for infant sleep problems: validation and findings for an internet sample. Pediatrics, 113 (6), e570-577. Marshall, P.J., Bar-Haim, Y., & Fox, N.A. (2002). Development of the EEG from 5 months to 4 years of age. Clinical Neurophysiology, 113 (8), 1199-1208. Farah, M.J., Shera, D.M., Savage, J.H., Betancourt, L., Giannetta, J.M., Brodsky, N.L., Malmud, E.K., & Hurt, H. (2006). Childhood poverty: specific associations with neurocognitive development. Brain Research, 1110 (1), 166-174. Jones, N.A., Field, T., Fox, N.A., Lundy, B., & Davalos, M. (1997). EEG activation in 1-month-old infants of depressed mothers. Development and Psychopathology, 9 (03), 491-505. McArdle, P., Prosser, J., & Kolvin, I. (2004). Prevalence of psychiatric disorder: with and without psychosocial impairment. European Child and Adolescent Psychiatry, 13 (6), 347-353. Kishiyama, M.M., Boyce, W.T., Jimenez, A.M., Perry, L.M., & Knight, R.T. (2009). Socioeconomic disparities affect prefrontal function in children. Journal of Cognitive Neuroscience, 21 (6), 1106-1115. Marshall, P.J., Reeb, B.C., Fox, N.A., Nelson, C.A., 3rd, & Zeanah, C.H. (2008). Effects of early intervention on EEG power and coherence in previously institutionalized children in Romania. Development and Psychopathology, 20 (3), 861-880. Jones, N.A., Field, T., & Davalos, M. (2000). Right frontal EEG asymmetry and lack of empathy in preschool children of depressed mothers. Child Psychiatry and Human Development, 30 (3), 189-204. Lupien, S.J., King, S., Meaney, M.J., & McEwen, B.S. (2001). Can poverty get under your skin? Basal cortisol levels and cognitive function in children from low and high socioeconomic status. Development and Psychopathology, 13, 653-676. Fouts, H.N., Roopnarine, J.L., & Lamb, M.E. (2007). Social experiences and daily routines of African American infants in different socioeconomic contexts. Journal of Family Psychology, 21 (4), 655-664. El-Sheikh, M., Hinnant, J.B., Kelly, R.J., & Erath, S. (2010). Maternal psychological control and child internalizing symptoms: vulnerability and protective factors across bioregulatory and ecological domains. Journal of Child Psychology and Psychiatry, 51 (2), 188-198. Yordanova, J., Banaschewski, T., Kolev, V., Woerner, W., & Rothenberger, A. (2001). Abnormal early stages of task stimulus processing in children with attention-deficit hyperactivity disorder: evidence from event-related gamma oscillations. Clinical Neurophysiology, 112 (6), 1096-1108. Raizada, R.D.S., Richards, T.L., Meltzoff, A., & Kuhl, P.K. (2008). Socioeconomic status predicts hemispheric specialisation of the left inferior frontal gyrus in young children. NeuroImage, 40 (3), 1392-1401. Gou, Z., Choudhury, N., & Benasich, A.A. (2011). Resting frontal gamma power at 16, 24 and 36 months predicts individual differences in language and cognition at 4 and 5 years. Behavioural Brain Research, 220 (2), 263-270. Corsi-Cabrera, M., Sanchez, A.I., del-Rio-Portilla, Y., Villanueva, Y., & Perez-Garci, E. (2003). Effect of 38 h of total sleep deprivation on the waking EEG in women: sex differences. International Journal of Psychophysiology, 50 (3), 213-224. Sarsour, K., Sheridan, M., Jutte, D., Nuru-Jeter, A., Hinshaw, S., & Boyce, W.T. (2011). Family socioeconomic status and child executive functions: the roles of language, home environment, and single parenthood. Journal of the International Neuropsychological Society, 17 (1), 120-132. El-Sheikh, M., Buckhalt, J.A., Keller, P.S., Cummings, E.M., & Acebo, C. (2007). Child emotional insecurity and academic achievement: the role of sleep disruptions. Journal of Family Psychology, 21 (1), 29-38. Ray, S., Niebur, E., Hsiao, S.S., Sinai, A., & Crone, N.E. (2008). High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention. Clinical Neurophysiology, 119 (1), 116-133. Van den Bergh, B.R., Mulder, E.J., Mennes, M., & Glover, V. (2005). Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: links and possible mechanisms. A review. Neuroscience and Biobehavioral Reviews, 29 (2), 237-258. Barry, R.J., Clarke, A.R., Hajos, M., Dupuy, F.E., McCarthy, R., & Selikowitz, M. (2011). EEG coherence and symptom profiles of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122 (7), 1327-1332. Welsh, J.A., Nix, R.L., Blair, C., Bierman, K.L., & Nelson, K.E. (2010). The development of cognitive skills and gains in academic school readiness for children from low-income families. Journal of Educational Psychology, 102 (1), 43-53. Lozoff, B., Askew, G.L., & Wolf, A.W. (1996). Cosleeping and early childhood sleep problems: effects of ethnicity and socioeconomic status. Journal of Developmental and Behavioral Pediatrics, 17 (1), 9-15. Bradley, R.H., & Corwyn, R.F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371-399. McLennan, D., Barnes, H., Noble, M., Davies, J., Garratt, E., & Dibben, C. (2011). The English indices of deprivation 2010: Technical report. London: Department for Communities and Local Government. Jones, N.A., Field, T., & Almeida, A. (2009). Right frontal EEG asymmetry and behavioral inhibition in infants of depressed mothers. Infant Behavior and Development, 32 (3), 298-304. Orekhova, E.V., Stroganova, T.A., Nygren, G., Tsetlin, M.M., Posikera, I.N., Gillberg, C., & Elam, M. (2007). Excess of high frequency electroencephalogram oscillations in boys with autism. Biological Psychiatry, 62 (9), 1022-1029. Gross, D.W., & Gotman, J. (1999). Correlation of high-frequency oscillations with the sleep-wake cycle and cognitive activity in humans. Neuroscience, 94 (4), 1005-1018. Shackman, A.J., McMenamin, B.W., Maxwell, J.S., Greischar, L.L., & Davidson, R.J. (2010). Identifying robust and sensitive frequency bands for interrogating neural oscillations. NeuroImage, 51 (4), 1319-1333. Engel, A.K., Fries, P., & Singer, W. (2001). Dynamic predictions: oscillations and synchrony in top-down processing. Nature Reviews Neuroscience, 2 (10), 704-716. Marshall, P.J., & Fox, N.A. (2004). A comparison of the electroencephalogram between institutionalized and community children in Romania. Journal of Cognitive Neuroscience, 16 (8), 1327-1338. Stevens, C., Lauinger, B., & Neville, H. (2009). Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related brain potential study. Developmental Science, 12 (4), 634-646. Hackman, D.A., Farah, M.J., & Meaney, M.J. (2010). Socioeconomic status and the brain: mechanistic insights from human and animal research. Nature Reviews Neuroscience, 11 (9), 651-659. Grice, S.J., Spratling, M.W., Karmiloff-Smith, A., Halit, H., Csibra, G., de Haan, M., & Johnson, M.H. (2001). Disordered visual processing and oscillatory brain activity in autism and Williams syndrome. NeuroReport, 12 (12), 2697-2700. Moore, D.G., & George, R. (2011). ACORNS: a tool for the visualisation and modelling of atypical development. Journal of Intellectual Disability Research, 55 (10), 956-972. Barry, R.J., Clarke, A.R., Hajos, M., McCarthy, R., Selikowitz, M., & Dupuy, F.E. (2010). Resting-state EEG gamma activity in children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 121 (11), 1871-1877. Kaufman, J., Csibra, G., & Johnson, M.H. (2005). Oscillatory activity in the infant brain reflects object maintenance. Proceedings of the National Academy of Sciences, USA, 102 (42), 15271-15274. Horsfield, G. (2010). Family spending. A report on the 2009 Living Costs and Food Survey. London: Office for National Statistics. Sweatt, J.D. (2009). Experience-dependent epigenetic modifications in the central nervous system. Biological Psychiatry, 65 (3), 191-197. UK Office for National Statistics (2010). Standard Occupational Classification 2010. Volume 3: The National Statistics Socio-economic Classification User Manual. Basingstoke: Palgrave Macmillan. Noble, K.G., Norman, M.F., & Farah, M.J. (2005). Neurocognitive correlates of socioeconomic status in kindergarten children. Developmental Science, 8 (1), 74-87. Buckhalt, J.A., El-Sheikh, M., & Keller, P. (2007). Children's sleep and cognitive functioning: race and socioeconomic status as moderators of effects. Child Develpoment, 78 (1), 213-231. Adams, N., Barton, A., Bray, S., Johnson, G., & Matejic, P. (2010). Households below average income: An analysis of the income distribution 1994/95 - 2008/09. London: Department for Work and Pensions. Elsabbagh, M., Volein, A., Csibra, G., Holmboe, K., Garwood, H., Tucker, L., Krljes, S., Baron-Cohen, S., Bolton, P., Charman, T., Baird, G., & Johnson, M.H. (2009). Neural correlates of eye gaze processing in the infant broader autism phenotype. Biological Psychiatry, 65 (1), 31-38. Hackman, D.A., & Farah, M.J. (2009). Socioeconomic status and the developing brain. Trends in Cognitive Sciences, 13 (2), 65-73. Crone, N.E., Hao, L., Hart, J., Jr, Boatman, D., Lesser, R.P., Irizarry, R., & Gordon, B. (2001). Electrocorticographic gamma activity during word production in spoken and sign language. Neurology, 57 (11), 2045-2053. Bernier, A., Carlson, S.M., Bordeleau, S., & Carrier, J. (2010). Relations between physiological and cognitive regulatory systems: infant sleep regulation and subsequent executive functioning. Child Development, 81 (6), 1739-1752. Benasich, A.A., Gou, Z., Choudhury, N., & Harris, K.D. (2008). Early cognitive and language skills are linked to resting frontal gamma power across the first 3 yea 2010; 11 2002; 53 2002; 113 2010; 102 1975 2011; 55 2011; 17 2003; 50 2007; 78 2005; 29 1997; 9 2009; 12 2009; 13 2001 2005; 102 2008; 119 2008; 22 2006; 1110 2007; 62 1999; 94 2008; 20 2007; 21 2001; 12 2001; 57 2001; 13 2010; 4 2011; 122 2008; 195 1996; 17 2009; 65 2009; 21 2011 2010 2010; 121 2005; 41 2007 1993 2010; 81 2001; 112 2010; 49 2009; 32 2004; 113 2004; 16 2005; 8 2000; 30 2004; 13 2001; 2 2008; 40 2010; 51 2011; 220 1992; 63 e_1_2_7_3_1 Raizada R.D.S. (e_1_2_7_45_1) 2010; 4 e_1_2_7_9_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_17_1 e_1_2_7_15_1 e_1_2_7_41_1 e_1_2_7_13_1 e_1_2_7_43_1 e_1_2_7_11_1 e_1_2_7_47_1 e_1_2_7_26_1 UK Office for National Statistics (e_1_2_7_54_1) 2010 e_1_2_7_49_1 e_1_2_7_50_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_52_1 e_1_2_7_23_1 e_1_2_7_33_1 e_1_2_7_21_1 e_1_2_7_35_1 e_1_2_7_56_1 e_1_2_7_39_1 e_1_2_7_6_1 e_1_2_7_4_1 e_1_2_7_8_1 e_1_2_7_18_1 e_1_2_7_16_1 e_1_2_7_42_1 e_1_2_7_12_1 e_1_2_7_44_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_48_1 e_1_2_7_27_1 Bayley N. (e_1_2_7_5_1) 1993 e_1_2_7_29_1 Adams N. (e_1_2_7_2_1) 2010 McLennan D. (e_1_2_7_37_1) 2011 Marshall P.J. (e_1_2_7_40_1) 2007 Duncan G.J. (e_1_2_7_14_1) 2001 e_1_2_7_51_1 e_1_2_7_30_1 e_1_2_7_53_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_55_1 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_57_1 Horsfield G. (e_1_2_7_28_1) 2010 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_38_1 |
References_xml | – reference: Engel, A.K., Fries, P., & Singer, W. (2001). Dynamic predictions: oscillations and synchrony in top-down processing. Nature Reviews Neuroscience, 2 (10), 704-716. – reference: Sweatt, J.D. (2009). Experience-dependent epigenetic modifications in the central nervous system. Biological Psychiatry, 65 (3), 191-197. – reference: Hackman, D.A., Farah, M.J., & Meaney, M.J. (2010). Socioeconomic status and the brain: mechanistic insights from human and animal research. Nature Reviews Neuroscience, 11 (9), 651-659. – reference: Bayley, N. (1993). Manual for the Bayley Scales of Infant Development (2nd edn.). San Antonio, TX: Psychological Corporation. – reference: El-Sheikh, M., Buckhalt, J.A., Keller, P.S., Cummings, E.M., & Acebo, C. (2007). Child emotional insecurity and academic achievement: the role of sleep disruptions. Journal of Family Psychology, 21 (1), 29-38. – reference: McLennan, D., Barnes, H., Noble, M., Davies, J., Garratt, E., & Dibben, C. (2011). The English indices of deprivation 2010: Technical report. London: Department for Communities and Local Government. – reference: Adams, N., Barton, A., Bray, S., Johnson, G., & Matejic, P. (2010). Households below average income: An analysis of the income distribution 1994/95 - 2008/09. London: Department for Work and Pensions. – reference: Welsh, J.A., Nix, R.L., Blair, C., Bierman, K.L., & Nelson, K.E. (2010). The development of cognitive skills and gains in academic school readiness for children from low-income families. Journal of Educational Psychology, 102 (1), 43-53. – reference: Lozoff, B., Askew, G.L., & Wolf, A.W. (1996). Cosleeping and early childhood sleep problems: effects of ethnicity and socioeconomic status. Journal of Developmental and Behavioral Pediatrics, 17 (1), 9-15. – reference: Marshall, P.J., Reeb, B.C., Fox, N.A., Nelson, C.A., 3rd, & Zeanah, C.H. (2008). Effects of early intervention on EEG power and coherence in previously institutionalized children in Romania. Development and Psychopathology, 20 (3), 861-880. – reference: Rao, H., Betancourt, L., Giannetta, J.M., Brodsky, N.L., Korczykowski, M., Avants, B.B., Gee, J.C., Wang, J., Hurt, H., Detre, J.A., & Farah, M.J. (2010). Early parental care is important for hippocampal maturation: evidence from brain morphology in humans. NeuroImage, 49 (1), 1144-1150. – reference: D'Angiulli, A., Herdman, A., Stapells, D., & Hertzman, C. (2008). Children's event-related potentials of auditory selective attention vary with their socioeconomic status. Neuropsychology, 22 (3), 293-300. – reference: Horsfield, G. (2010). Family spending. A report on the 2009 Living Costs and Food Survey. London: Office for National Statistics. – reference: Corsi-Cabrera, M., Sanchez, A.I., del-Rio-Portilla, Y., Villanueva, Y., & Perez-Garci, E. (2003). Effect of 38 h of total sleep deprivation on the waking EEG in women: sex differences. International Journal of Psychophysiology, 50 (3), 213-224. – reference: Barry, R.J., Clarke, A.R., Hajos, M., McCarthy, R., Selikowitz, M., & Dupuy, F.E. (2010). Resting-state EEG gamma activity in children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 121 (11), 1871-1877. – reference: Kishiyama, M.M., Boyce, W.T., Jimenez, A.M., Perry, L.M., & Knight, R.T. (2009). Socioeconomic disparities affect prefrontal function in children. Journal of Cognitive Neuroscience, 21 (6), 1106-1115. – reference: UK Office for National Statistics (2010). Standard Occupational Classification 2010. Volume 3: The National Statistics Socio-economic Classification User Manual. Basingstoke: Palgrave Macmillan. – reference: Farah, M.J., Shera, D.M., Savage, J.H., Betancourt, L., Giannetta, J.M., Brodsky, N.L., Malmud, E.K., & Hurt, H. (2006). Childhood poverty: specific associations with neurocognitive development. Brain Research, 1110 (1), 166-174. – reference: Van den Bergh, B.R., Mulder, E.J., Mennes, M., & Glover, V. (2005). Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: links and possible mechanisms. A review. Neuroscience and Biobehavioral Reviews, 29 (2), 237-258. – reference: Barry, R.J., Clarke, A.R., Hajos, M., Dupuy, F.E., McCarthy, R., & Selikowitz, M. (2011). EEG coherence and symptom profiles of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122 (7), 1327-1332. – reference: Jones, N.A., Field, T., & Almeida, A. (2009). Right frontal EEG asymmetry and behavioral inhibition in infants of depressed mothers. Infant Behavior and Development, 32 (3), 298-304. – reference: Bernier, A., Carlson, S.M., Bordeleau, S., & Carrier, J. (2010). Relations between physiological and cognitive regulatory systems: infant sleep regulation and subsequent executive functioning. Child Development, 81 (6), 1739-1752. – reference: Hackman, D.A., & Farah, M.J. (2009). Socioeconomic status and the developing brain. Trends in Cognitive Sciences, 13 (2), 65-73. – reference: Buckhalt, J.A., El-Sheikh, M., & Keller, P. (2007). Children's sleep and cognitive functioning: race and socioeconomic status as moderators of effects. Child Develpoment, 78 (1), 213-231. – reference: Kaufman, J., Csibra, G., & Johnson, M.H. (2005). Oscillatory activity in the infant brain reflects object maintenance. Proceedings of the National Academy of Sciences, USA, 102 (42), 15271-15274. – reference: Raizada, R.D.S., Richards, T.L., Meltzoff, A., & Kuhl, P.K. (2008). Socioeconomic status predicts hemispheric specialisation of the left inferior frontal gyrus in young children. 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European Child and Adolescent Psychiatry, 13 (6), 347-353. – reference: Marshall, P.J., & Fox, N.A. (2004). A comparison of the electroencephalogram between institutionalized and community children in Romania. Journal of Cognitive Neuroscience, 16 (8), 1327-1338. – reference: Sarsour, K., Sheridan, M., Jutte, D., Nuru-Jeter, A., Hinshaw, S., & Boyce, W.T. (2011). Family socioeconomic status and child executive functions: the roles of language, home environment, and single parenthood. Journal of the International Neuropsychological Society, 17 (1), 120-132. – reference: Bradley, R.H., & Corwyn, R.F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371-399. – reference: Moore, D.G., & George, R. (2011). ACORNS: a tool for the visualisation and modelling of atypical development. Journal of Intellectual Disability Research, 55 (10), 956-972. – reference: Sadeh, A. (2004). A brief screening questionnaire for infant sleep problems: validation and findings for an internet sample. Pediatrics, 113 (6), e570-577. – reference: Stevens, C., Lauinger, B., & Neville, H. (2009). Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related brain potential study. Developmental Science, 12 (4), 634-646. – reference: Grice, S.J., Halit, H., Farroni, T., Baron-Cohen, S., Bolton, P., & Johnson, M.H. (2005). Neural correlates of eye-gaze detection in young children with autism. Cortex, 41 (3), 342-353. – reference: Jones, N.A., Field, T., Fox, N.A., Lundy, B., & Davalos, M. (1997). EEG activation in 1-month-old infants of depressed mothers. Development and Psychopathology, 9 (03), 491-505. – reference: Gou, Z., Choudhury, N., & Benasich, A.A. (2011). Resting frontal gamma power at 16, 24 and 36 months predicts individual differences in language and cognition at 4 and 5 years. Behavioural Brain Research, 220 (2), 263-270. – reference: Grice, S.J., Spratling, M.W., Karmiloff-Smith, A., Halit, H., Csibra, G., de Haan, M., & Johnson, M.H. (2001). Disordered visual processing and oscillatory brain activity in autism and Williams syndrome. NeuroReport, 12 (12), 2697-2700. – reference: Gross, D.W., & Gotman, J. (1999). Correlation of high-frequency oscillations with the sleep-wake cycle and cognitive activity in humans. Neuroscience, 94 (4), 1005-1018. – reference: Crone, N.E., Hao, L., Hart, J., Jr, Boatman, D., Lesser, R.P., Irizarry, R., & Gordon, B. (2001). Electrocorticographic gamma activity during word production in spoken and sign language. Neurology, 57 (11), 2045-2053. – reference: Dawson, G., Klinger, L.G., Panagiotides, H., Hill, D., & Spieker, S. (1992). Frontal lobe activity and affective behavior of infants of mothers with depressive symptoms. Child Development, 63 (3), 725-737. – reference: Ray, S., Niebur, E., Hsiao, S.S., Sinai, A., & Crone, N.E. (2008). High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention. Clinical Neurophysiology, 119 (1), 116-133. – reference: Benasich, A.A., Gou, Z., Choudhury, N., & Harris, K.D. (2008). Early cognitive and language skills are linked to resting frontal gamma power across the first 3 years. Behavioural Brain Research, 195 (2), 215-222. – reference: Elsabbagh, M., Volein, A., Csibra, G., Holmboe, K., Garwood, H., Tucker, L., Krljes, S., Baron-Cohen, S., Bolton, P., Charman, T., Baird, G., & Johnson, M.H. (2009). Neural correlates of eye gaze processing in the infant broader autism phenotype. Biological Psychiatry, 65 (1), 31-38. – reference: Noble, K.G., Norman, M.F., & Farah, M.J. (2005). Neurocognitive correlates of socioeconomic status in kindergarten children. 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Snippet | Socioeconomic status (SES) impacts on both structural and functional brain development in childhood, but how early its effects can be demonstrated is unknown.... |
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SubjectTerms | Analysis of Variance At Risk Persons Body Weight Brain Brain - growth & development Brain Hemisphere Functions Child Development Child Development - physiology Economically Disadvantaged Electroencephalography Employment Level England (London) Female Foreign Countries Humans Infant Infants London Male Occupations Parent Influence Sleep Sleep - physiology Smoking Social Class Socioeconomic factors Socioeconomic Influences Socioeconomic Status Surveys and Questionnaires |
Title | Socioeconomic status and functional brain development - associations in early infancy |
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