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Becker M, Fehr K, Goguen S, Miliku K, Field C, Robertson B, Yonemitsu C, Bode L, Simons E, Marshall J, Dawod B, Mandhane P, Turvey SE, Moraes TJ, Subbarao P, Rodriguez N, Aghaeepour N, Azad MB. Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment. Sci Rep 2024; 14:2977. [PMID: 38316895 PMCID: PMC10844250 DOI: 10.1038/s41598-024-52323-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/17/2024] [Indexed: 02/07/2024] Open
Abstract
Links between human milk (HM) and infant development are poorly understood and often focus on individual HM components. Here we apply multi-modal predictive machine learning to study HM and head circumference (a proxy for brain development) among 1022 mother-infant dyads of the CHILD Cohort. We integrated HM data (19 oligosaccharides, 28 fatty acids, 3 hormones, 28 chemokines) with maternal and infant demographic, health, dietary and home environment data. Head circumference was significantly predictable at 3 and 12 months. Two of the most associated features were HM n3-polyunsaturated fatty acid C22:6n3 (docosahexaenoic acid, DHA; p = 9.6e-05) and maternal intake of fish (p = 4.1e-03), a key dietary source of DHA with established relationships to brain function. Thus, using a systems biology approach, we identified meaningful relationships between HM and brain development, which validates our statistical approach, gives credence to the novel associations we observed, and sets the foundation for further research with additional cohorts and HM analytes.
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Affiliation(s)
- Martin Becker
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Stanford University, Stanford, 94305, USA
| | - Kelsey Fehr
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Stephanie Goguen
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Kozeta Miliku
- University of Toronto, Toronto, M5S 1A8, Canada
- McMaster University, Hamilton, M5S 1A8, Canada
| | | | | | - Chloe Yonemitsu
- University of California, San Diego, La Jolla, CA, 92093, USA
| | - Lars Bode
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- University of California, San Diego, La Jolla, CA, 92093, USA
| | | | | | | | | | - Stuart E Turvey
- University of British Columbia and British Columbia Children's Hospital, Vancouver, V5Z4H4, Canada
| | | | - Padmaja Subbarao
- University of Toronto, Toronto, M5S 1A8, Canada
- McMaster University, Hamilton, M5S 1A8, Canada
- SickKids, Toronto, M5G 0A4, Canada
| | - Natalie Rodriguez
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada
- University of Manitoba, Winnipeg, R3E3P4, Canada
| | - Nima Aghaeepour
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada.
- Stanford University, Stanford, 94305, USA.
| | - Meghan B Azad
- International Milk Composition (IMiC) Consortium, Winnipeg, Canada.
- Manitoba Interdisciplinary Lactation Centre (MILC), Winnipeg, Canada.
- Children's Hospital Research Institute of Manitoba, Winnipeg, Canada.
- University of Manitoba, Winnipeg, R3E3P4, Canada.
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Zou L, Huang A, Wu K, Zhang X, Zhang K, Wen W, Guan L, Huang Y. Home reading environment, sociometric and demographic factors associated with dyslexia in primary school students in China: A case-control study. Heliyon 2023; 9:e22100. [PMID: 38027564 PMCID: PMC10658363 DOI: 10.1016/j.heliyon.2023.e22100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/13/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
Background Developmental dyslexia (DD) has been generally recognized as a multifactorial psychological disorder in recent decades. However, studies on reading and learning environment, social and demographic factors affecting Chinese developmental dyslexia (DD) are still scarce in China. This study aims to explore multidimensional home influencing factors associated with DD before and after birth. Methods A total of 60 dyslexic and 252 normal elementary school students graded 2-5 were recruited in Shantou, China. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model was used for the social and demographic variables screening. Odds ratios (ORs) with 95 % confidence intervals (CIs) for associations between DD and related factors were estimated by multivariate logistic regression models. Results Through LASSO regression, we ultimately identified 13 key variables, including maternal education level and family monthly income, among others. The logistic regression analyses showed that the risk of DD was higher in children with lower maternal education levels. Divergent parenting styles may be a risk factor for developing DD as opposed to consistent parenting styles (OR = 4.93, 95%CI: 1.11-21.91). Children whose mothers suffered from malnutrition during pregnancy were more likely to develop DD (OR = 10.31, 95%CI: 1.84-37.86), as well as exposure to second-hand smoking at home every day (OR = 5.33, 95%CI: 1.52-18.66). Interestingly, children's active reading (OR = 0.26, 95%CI: 0.08-0.84; OR = 0.17, 95%CI: 0.04-0.76 for "sometimes" and "often" compared to none, respectively), children having extracurricular reading fairy tale books (OR = 0.37, 95%CI: 0.15-0.90), and children having extracurricular reading composition books (OR = 0.25, 95%CI: 0.09-0.69) were significant protective factors for DD. Conclusions Home reading environment, several educational, sociometric and demographic factors may influence the development of dyslexia. We should pay attention to these factors on the development of dyslexia, so as to provide the well social and familial environment to ensure the healthy development of children.
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Affiliation(s)
- Lijing Zou
- Mental Health Center of Shantou University, Shantou, Guangdong, China
| | - Anyan Huang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Department of Health Care, Shantou Maternal and Child Health Hospital, Shantou, Guangdong, China
| | - Kusheng Wu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China
| | - Xuanzhi Zhang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Shantou University Medical College—Faculty of Medicine of University of Manitoba Joint Laboratory of Biological Psychiatry, China
| | - Kaiguo Zhang
- Somatotherapy Department, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Wanyi Wen
- School of Public Health, Shantou University, Shantou, Guangdong, China
| | - Liwen Guan
- School of Public Health, Shantou University, Shantou, Guangdong, China
| | - Yanhong Huang
- Mental Health Center of Shantou University, Shantou, Guangdong, China
- Shantou University Medical College—Faculty of Medicine of University of Manitoba Joint Laboratory of Biological Psychiatry, China
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Silveira RC, Corso AL, Procianoy RS. The Influence of Early Nutrition on Neurodevelopmental Outcomes in Preterm Infants. Nutrients 2023; 15:4644. [PMID: 37960297 PMCID: PMC10648100 DOI: 10.3390/nu15214644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/25/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023] Open
Abstract
Premature infants, given their limited reserves, heightened energy requirements, and susceptibility to nutritional deficits, require specialized care. AIM To examine the complex interplay between nutrition and neurodevelopment in premature infants, underscoring the critical need for tailored nutritional approaches to support optimal brain growth and function. DATA SOURCES PubMed and MeSH and keywords: preterm, early nutrition, macronutrients, micronutrients, human milk, human milk oligosaccharides, probiotics AND neurodevelopment or neurodevelopment outcomes. Recent articles were selected according to the authors' judgment of their relevance. Specific nutrients, including macro (amino acids, glucose, and lipids) and micronutrients, play an important role in promoting neurodevelopment. Early and aggressive nutrition has shown promise, as has recognizing glucose as the primary energy source for the developing brain. Long-chain polyunsaturated fatty acids, such as DHA, contribute to brain maturation, while the benefits of human milk, human milk oligosaccharides, and probiotics on neurodevelopment via the gut-brain axis are explored. This intricate interplay between the gut microbiota and the central nervous system highlights human milk oligosaccharides' role in early brain maturation. CONCLUSIONS Individualized nutritional approaches and comprehensive nutrient strategies are paramount to enhancing neurodevelopment in premature infants, underscoring human milk's potential as the gold standard of nutrition for preterm infants.
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Affiliation(s)
| | | | - Renato S. Procianoy
- Department of Pediatrics, Newborn Section, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre 3452925, RS, Brazil
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Grevet LT, Teixeira DS, Pan PM, Jackowski AP, Zugman A, Miguel EC, Rohde LA, Salum GA. The association between duration of breastfeeding and the trajectory of brain development from childhood to young adulthood: an 8-year longitudinal study. Eur Child Adolesc Psychiatry 2023:10.1007/s00787-023-02283-9. [PMID: 37650992 DOI: 10.1007/s00787-023-02283-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/14/2023] [Indexed: 09/01/2023]
Abstract
Breastfeeding has been associated with several short- and long-term health benefits, including positive cognitive and behavioral outcomes. However, the impact of breastfeeding on structural brain development over time remains unclear. We aimed to assess the association between breastfeeding duration in childhood and the developmental trajectory of overall cortical thickness, cortical area, and total intracranial volume during the transition from childhood to early adulthood. Participants included 670 children and adolescents with 1326 MRI scans acquired over 8 years from the Brazilian High-Risk Cohort for Mental Conditions (BHRCS). Breastfeeding was assessed using a questionnaire answered by the parents. Brain measures were estimated using MRI T1-weighted images at three time points, with 3-year intervals. Data were evaluated using generalized additive models adjusted for multiple confounders. We found that a longer breastfeeding duration was directly associated with higher global cortical thickness in the left (edf = 1.0, F = 6.07, p = 0.01) and right (edf = 1.0, F = 4.70, p = 0.03) hemispheres. For the total intracranial volume, we found an interaction between duration of breastfeeding and developmental stage (edf = 1.0, F = 6.81, p = 0.009). No association was found between breastfeeding duration and brain area. Our study suggests that the duration of breastfeeding impacts overall cortical thickness and the development of total brain volume, but not area. This study adds to the evidence on the potential impact of breastfeeding on brain development and provides relevant insights into the mechanisms by which breastfeeding might confer cognitive and mental health benefits.
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Affiliation(s)
- Laura Tietzmann Grevet
- Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), School of Medicine, Avenida Ipiranga, 6681-Partenon, Porto Alegre, Rio Grande do Sul, 90619-900, Brazil.
| | - Danielle Soares Teixeira
- Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Pedro Mario Pan
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Universidade Federal de São Paulo (UNIFESP), Iterdisciplinary Lab for Clinical Neurosciences (LiNC), São Paulo, SP, Brazil
| | - Andrea Parolin Jackowski
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Universidade Federal de São Paulo (UNIFESP), Iterdisciplinary Lab for Clinical Neurosciences (LiNC), São Paulo, SP, Brazil
| | - André Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Universidade Federal de São Paulo (UNIFESP), Iterdisciplinary Lab for Clinical Neurosciences (LiNC), São Paulo, SP, Brazil
| | - Euripedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Department and Institute of Psychiatry, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- ADHD Outpatient Program and Developmental Psychiatry Program, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Giovanni Abrahão Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Child Mind Institute, New York, NY, USA
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Mckinnon K, Galdi P, Blesa-Cábez M, Sullivan G, Vaher K, Corrigan A, Hall J, Jiménez-Sánchez L, Thrippleton M, Bastin ME, Quigley AJ, Valavani E, Tsanas A, Richardson H, Boardman JP. Association of Preterm Birth and Socioeconomic Status With Neonatal Brain Structure. JAMA Netw Open 2023; 6:e2316067. [PMID: 37256618 PMCID: PMC10233421 DOI: 10.1001/jamanetworkopen.2023.16067] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
Importance Preterm birth and socioeconomic status (SES) are associated with brain structure in childhood, but the relative contributions of each during the neonatal period are unknown. Objective To investigate associations of birth gestational age (GA) and SES with neonatal brain morphology by testing 3 hypotheses: GA and SES are associated with brain morphology; associations between SES and brain morphology vary with GA; and associations between SES and brain structure and morphology depend on how SES is operationalized. Design, Setting, and Participants This cohort study recruited participants from November 2016 to September 2021 at a single center in the United Kingdom. Participants were 170 extremely and very preterm infants and 91 full-term or near-term infants. Exclusion criteria were major congenital malformation, chromosomal abnormality, congenital infection, cystic periventricular leukomalacia, hemorrhagic parenchymal infarction, and posthemorrhagic ventricular dilatation. Exposures Birth GA and SES, operationalized at the neighborhood level (using the Scottish Index of Multiple Deprivation), the family level (using parental education and occupation), and subjectively (World Health Organization Quality of Life measure). Main Outcomes and Measures Brain volume (85 parcels) and 5 whole-brain cortical morphology measures (gyrification index, thickness, sulcal depth, curvature, surface area) at term-equivalent age (median [range] age, 40 weeks, 5 days [36 weeks, 2 days to 45 weeks, 6 days] and 42 weeks [38 weeks, 2 days to 46 weeks, 1 day] for preterm and full-term infants, respectively). Results Participants were 170 extremely and very preterm infants (95 [55.9%] male; 4 of 166 [2.4%] Asian, 145 of 166 [87.3%] White) and 91 full-term or near-term infants (50 [54.9%] male; 3 of 86 [3.5%] Asian, 78 of 86 [90.7%] White infants) with median (range) birth GAs of 30 weeks, 0 days (22 weeks, 1 day, to 32 weeks, 6 days) and 39 weeks, 4 days (36 weeks, 3 days, to 42 weeks, 1 day), respectively. In fully adjusted models, birth GA was associated with a higher proportion of brain volumes (27 of 85 parcels [31.8%]; β range, -0.20 to 0.24) than neighborhood-level SES (1 of 85 parcels [1.2%]; β = 0.17 [95% CI, -0.16 to 0.50]) or family-level SES (maternal education: 4 of 85 parcels [4.7%]; β range, 0.09 to 0.15; maternal occupation: 1 of 85 parcels [1.2%]; β = 0.06 [95% CI, 0.02 to 0.11] respectively). There were interactions between GA and both family-level and subjective SES measures on regional brain volumes. Birth GA was associated with cortical surface area (β = 0.10 [95% CI, 0.02 to 0.18]) and gyrification index (β = 0.16 [95% CI, 0.07 to 0.25]); no SES measure was associated with cortical measures. Conclusions and Relevance In this cohort study of UK infants, birth GA and SES were associated with neonatal brain morphology, but low GA had more widely distributed associations with neonatal brain structure than SES. Further work is warranted to elucidate the mechanisms underlying the association of both GA and SES with early brain development.
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Affiliation(s)
- Katie Mckinnon
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Paola Galdi
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Manuel Blesa-Cábez
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Gemma Sullivan
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Kadi Vaher
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Amy Corrigan
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Jill Hall
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Michael Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Alan J. Quigley
- Department of Radiology, Royal Hospital for Children and Young People, Edinburgh, United Kingdom
| | - Evdoxia Valavani
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
| | - Athanasios Tsanas
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Hilary Richardson
- School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - James P. Boardman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
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Gilbreath D, Hagood D, Alatorre-Cruz GC, Andres A, Downs H, Larson-Prior LJ. Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study. Nutrients 2023; 15:1535. [PMID: 36986265 PMCID: PMC10055905 DOI: 10.3390/nu15061535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/18/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023] Open
Abstract
Throughout infancy, the brain undergoes rapid changes in structure and function that are sensitive to environmental influences, such as diet. Breastfed (BF) infants score higher on cognitive tests throughout infancy and into adolescence than formula fed (FF) infants, and these differences in neurocognitive development are reflected in higher concentrations of white and grey matter as measured by MRI. To further explore the effect diet has on cognitive development, electroencephalography (EEG) is used as a direct measure of neuronal activity and to assess specific frequency bands associated with cognitive processes. Task-free baseline EEGs were collected from infants fed with human milk (BF), dairy-based formula (MF), or soy-based formula (SF) at 2, 3, 4, 5, and 6 months of age to explore differences in frequency bands in both sensor and source space. Significant global differences in sensor space were seen in beta and gamma bands between BF and SF groups at ages 2 and 6 months, and these differences were further observed through volumetric modeling in source space. We conclude that BF infants exhibit earlier brain maturation reflected in greater power spectral density in these frequency bands.
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Affiliation(s)
- Dylan Gilbreath
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
- Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72207, USA
| | - Darcy Hagood
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
| | - Graciela Catalina Alatorre-Cruz
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72207, USA
| | - Aline Andres
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72207, USA
| | - Heather Downs
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
| | - Linda J. Larson-Prior
- Arkansas Children’s Nutrition Center (ACNC), Little Rock, AR 72202, USA
- Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72207, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72207, USA
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Núñez C, García-Alix A, Arca G, Agut T, Carreras N, Portella MJ, Stephan-Otto C. Breastfeeding duration is associated with larger cortical gray matter volumes in children from the ABCD study. J Child Psychol Psychiatry 2023. [PMID: 36946606 DOI: 10.1111/jcpp.13790] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Despite the numerous studies in favor of breastfeeding for its benefits in cognition and mental health, the long-term effects of breastfeeding on brain structure are still largely unknown. Our main objective was to study the relationship between breastfeeding duration and cerebral gray matter volumes. We also explored the potential mediatory role of brain volumes on behavior. METHODS We analyzed 7,860 magnetic resonance images of children 9-11 years of age from the Adolescent Brain Cognitive Development (ABCD) dataset in order to study the relationship between breastfeeding duration and cerebral gray matter volumes. We also obtained several behavioral data (cognition, behavioral problems, prodromal psychotic experiences, prosociality, impulsivity) to explore the potential mediatory role of brain volumes on behavior. RESULTS In the 7,860 children analyzed (median age = 9 years and 11 months; 49.9% female), whole-brain voxel-based morphometry analyses revealed an association mainly between breastfeeding duration and larger bilateral volumes of the pars orbitalis and the lateral orbitofrontal cortex. In particular, the association with the left pars orbitalis and the left lateral orbitofrontal cortex proved to be very robust to the addition of potentially confounding covariates, random selection of siblings, and splitting the sample in two. The volume of the left pars orbitalis and the left lateral orbitofrontal cortex appeared to mediate the relationship between breastfeeding duration and the negative urgency dimension of the UPPS-P Impulsive Behavior Scale. Global gray matter volumes were also significant mediators for behavioral problems as measured with the Child Behavior Checklist. CONCLUSIONS Our findings suggest that breastfeeding is a relevant factor in the proper development of the brain, particularly for the pars orbitalis and lateral orbitofrontal cortex regions. This, in turn, may impact impulsive personality and mental health in early puberty.
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Affiliation(s)
- Christian Núñez
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Alfredo García-Alix
- Neonatal Neurology, NeNe Foundation, Madrid, Spain
- Iberoamerican Society of Neonatology (SIBEN), NJ, United States
| | - Gemma Arca
- Neonatal Neurology, NeNe Foundation, Madrid, Spain
- Department of Neonatology, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Thais Agut
- Neonatal Neurology, NeNe Foundation, Madrid, Spain
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Department of Neonatology, Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Nuria Carreras
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Department of Neonatology, Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Maria J Portella
- Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- Networking Research Center on Mental Health (CIBERSAM), Madrid, Spain
| | - Christian Stephan-Otto
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Networking Research Center on Mental Health (CIBERSAM), Madrid, Spain
- Pediatric Computational Imaging Group (PeCIC), Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
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8
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Sullivan G, Vaher K, Blesa M, Galdi P, Stoye DQ, Quigley AJ, Thrippleton MJ, Norrie J, Bastin ME, Boardman JP. Breast Milk Exposure is Associated With Cortical Maturation in Preterm Infants. Ann Neurol 2023; 93:591-603. [PMID: 36412221 DOI: 10.1002/ana.26559] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Breast milk exposure is associated with improved neurocognitive outcomes following preterm birth but the neural substrates linking breast milk with outcome are uncertain. We tested the hypothesis that high versus low breast milk exposure in preterm infants results in cortical morphology that more closely resembles that of term-born infants. METHODS We studied 135 preterm (<32 weeks' gestation) and 77 term infants. Feeding data were collected from birth until hospital discharge and brain magnetic resonance imaging (MRI) was performed at term-equivalent age. Cortical indices (volume, thickness, surface area, gyrification index, sulcal depth, and curvature) and diffusion parameters (fractional anisotropy [FA], mean diffusivity [MD], radial diffusivity [RD], axial diffusivity [AD], neurite density index [NDI], and orientation dispersion index [ODI]) were compared between preterm infants who received exclusive breast milk for <75% of inpatient days, preterm infants who received exclusive breast milk for ≥75% of inpatient days and term-born controls. To investigate a dose response effect, we performed linear regression using breast milk exposure quartile weighted by propensity scores. RESULTS In preterm infants, high breast milk exposure was associated with reduced cortical gray matter volume (d = 0.47, 95% confidence interval [CI] = 0.14 to 0.94, p = 0.014), thickness (d = 0.42, 95% CI = 0.08 to 0.84, p = 0.039), and RD (d = 0.38, 95% CI = 0.002 to 0.77, p = 0.039), and increased FA (d = -0.38, 95% CI = -0.74 to -0.01, p = 0.037) after adjustment for age at MRI, which was similar to the cortical phenotype observed in term-born controls. Breast milk exposure quartile was associated with cortical volume (ß = -0.192, 95% CI = -0.342 to -0.042, p = 0.017), FA (ß = 0.223, 95% CI = 0.075 to 0.372, p = 0.007), and RD (ß = -0.225, 95% CI = -0.373 to -0.076, p = 0.007) following adjustment for age at birth, age at MRI, and weighted by propensity scores, suggesting a dose effect. INTERPRETATION High breast milk exposure following preterm birth is associated with a cortical imaging phenotype that more closely resembles the brain morphology of term-born infants and effects appear to be dose-dependent. ANN NEUROL 2023;93:591-603.
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Affiliation(s)
- Gemma Sullivan
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Kadi Vaher
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Manuel Blesa
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Paola Galdi
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - David Q Stoye
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Alan J Quigley
- Department of Radiology, Royal Hospital for Children and Young People, Edinburgh, UK
| | - Michael J Thrippleton
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK.,Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, UK
| | - John Norrie
- Usher Institute, Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, UK
| | - James P Boardman
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.,Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, UK
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9
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Zhang Y, Deng Q, Wang J, Wang H, Li Q, Zhu B, Ji C, Xu X, Johnston L. The impact of breast milk feeding on early brain development in preterm infants in China: An observational study. PLoS One 2022; 17:e0272125. [PMID: 36409687 PMCID: PMC9678255 DOI: 10.1371/journal.pone.0272125] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/13/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The prevailing consensus from large epidemiological studies is that breastfeeding is associated with improved IQ and cognitive functioning in later childhood and adolescence. Current research is exploring the association between breastfeeding and early brain development in preterm infants. OBJECTIVE To explore the differences in brain gray matter between breastmilk-fed and formula-fed preterm infants using structural and functional magnetic resonance imaging. METHODS A convenience sample of breastmilk-fed preterm infants(n = 34) and formula-fed infants (n = 22) aged approximately 32 weeks. At near term-equivalent age, MR scanning was performed. Gray matter structural and functional differences between the two groups were assessed using MATLAB software for voxel-based morphometry (VBM) and amplitude of low-frequency fluctuation (ALFF) analysis. RESULTS Maternal and neonatal demographic characteristics showed no significant difference between the two groups. Breastmilk-fed infants had greater regional gray matter volume on MRI than formula-fed infants in multiple brain regions, including the bilateral frontal lobe (BA11, BA46), right temporal lobe (BA37), and left caudate nucleus, at a statistical threshold of p<0.01 (AlphaSim corrected) with a cluster size of >40 voxels. Compared with formula-fed infants, breastmilk-fed infants showed increased brain activation on fMRI in the right superior temporal gyrus (BA41). CONCLUSION Breastmilk-fed infants had greater regional gray matter development and increased regional gray matter function compared with formula-fed infants at near term-equivalent age, suggesting breastmilk feeding in the early period after birth may have some degree of influence on early brain development in preterm infants.
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Affiliation(s)
- Yao Zhang
- Department of Midwifery, School of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China,Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Qingqi Deng
- Department of Midwifery, School of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Jinhua Wang
- Department of Radiology, Children’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hua Wang
- Neonatal Intensive Care Unit, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qiufang Li
- Neonatal Intensive Care Unit, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Binghua Zhu
- Department of Nursing, The Fourth Affiliated Hospital Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Chai Ji
- Department of Radiology, Children’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xinfen Xu
- Neonatal Intensive Care Unit, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China,Department of Nursing, Haining Maternal and Child Health Hospital, Haining, Zhejiang, China,* E-mail: (XX); (LJ)
| | - Linda Johnston
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada,* E-mail: (XX); (LJ)
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10
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Guan XY, Zheng WJ, Fan KY, Han X, Li X, Yan ZH, Lu Z, Gong J. Changes in a sensorimotor network, occipital network, and psychomotor speed within three months after focal surgical injury in pediatric patients with intracranial space-occupying lesions. BMC Pediatr 2022; 22:321. [PMID: 35650566 PMCID: PMC9158303 DOI: 10.1186/s12887-022-03348-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/09/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Studies on cognition and brain networks after various forms of brain injury mainly involve traumatic brain injury, neurological disease, tumours, and mental disease. There are few related studies on surgical injury and even fewer pediatric studies. This study aimed to preliminarily explore the cognitive and brain network changes in children with focal, unilateral, well-bounded intracranial space-occupying lesions (ISOLs) in the short term period after surgery. METHODS We enrolled 15 patients (6-14 years old) with ISOLs admitted to the Department of Pediatric Neurosurgery of the Beijing Tiantan Hospital between July 2020 and August 2021. Cognitive assessment and resting-state functional magnetic resonance imaging (rs-fMRI) were performed. Regional homogeneity (Reho), seed-based analysis (SBA) and graph theory analysis (GTA) were performed. Paired T-test was used for statistical analysis of cognitive assessment and rs-fMRI. Gaussian random-field theory correction (voxel p-value < 0.001, cluster p-value < 0.05) was used for Reho and SBA. False discovery rate correction (corrected p value < 0.05) for GTA. RESULTS Our results showed that psychomotor speed decreased within three months after surgery. Further, rs-fMRI data analysis suggested that sensorimotor and occipital network activation decreased with low information transmission efficiency. CONCLUSION We prudently concluded that the changes in cognitive function and brain network within three months after surgery may be similar to ageing and that the brain is vulnerable during this period.
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Affiliation(s)
- Xue-Yi Guan
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Wen-Jian Zheng
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Kai-Yu Fan
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Xu Han
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Xiang Li
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Zi-Han Yan
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Zheng Lu
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China
| | - Jian Gong
- Department of Pediatric Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, (100070), China.
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11
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Nieto-Ruiz A, García-Santos JA, Verdejo-Román J, Diéguez E, Sepúlveda-Valbuena N, Herrmann F, Cerdó T, De-Castellar R, Jiménez J, Bermúdez MG, Pérez-García M, Miranda MT, López-Sabater MC, Catena A, Campoy C. Infant Formula Supplemented With Milk Fat Globule Membrane, Long-Chain Polyunsaturated Fatty Acids, and Synbiotics Is Associated With Neurocognitive Function and Brain Structure of Healthy Children Aged 6 Years: The COGNIS Study. Front Nutr 2022; 9:820224. [PMID: 35356726 PMCID: PMC8959863 DOI: 10.3389/fnut.2022.820224] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/01/2022] [Indexed: 12/25/2022] Open
Abstract
Background Adequate nutrient intake during the first few months of life plays a critical role on brain structure and function development. Objectives To analyze the long-term effects of an experimental infant formula (EF) on neurocognitive function and brain structure in healthy children aged 6 years compared to those fed with a standard infant formula or breastfed. Methods The current study involved 108 healthy children aged 6 years and participating in the COGNIS Study. At 0-2 months, infants were randomized to receive up to 18 months of life a standard infant formula (SF) or EF enriched with milk fat globule membrane (MFGM), long-chain polyunsaturated fatty acids (LC-PUFAs) and synbiotics. Furthermore, a reference group of breastfed (BF) infants were also recruited. Children were assessed using neurocognitive tests and structural Magnetic Resonance Imaging (MRI) at 6 years old. Results Experimental infant formula (EF) children showed greater volumes in the left orbital cortex, higher vocabulary scores and IQ, and better performance in an attention task than BF children. EF children also presented greater volumes in parietal regions than SF kids. Additionally, greater cortical thickness in the insular, parietal, and temporal areas were found in children from the EF group than those fed with SF or BF groups. Further correlation analyses suggest that higher volumes and cortical thickness of different parietal and frontal regions are associated with better cognitive development in terms of language (verbal comprehension) and executive function (working memory). Finally, arachidonic acid (ARA), adrenic acid (AdA), docosahexaenoic acid (DHA) levels in cheek cell glycerophospholipids, ARA/DHA ratio, and protein, fatty acid, and mineral intake during the first 18 months of life seem to be associated with changes in the brain structures at 6 years old. Conclusions Supplemented infant formula with MFGM components, LC-PUFAs, and synbiotics seems to be associated to long-term effects on neurocognitive development and brain structure in children at 6 years old. Clinical Trial Registration https://www.clinicaltrials.gov/, identifier: NCT02094547.
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Affiliation(s)
- Ana Nieto-Ruiz
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Health Sciences Technological Park, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - José A. García-Santos
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Health Sciences Technological Park, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Juan Verdejo-Román
- Department of Personality, Assessment & Psychological Treatment, School of Psychology, University of Granada, Granada, Spain
| | - Estefanía Diéguez
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Health Sciences Technological Park, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Natalia Sepúlveda-Valbuena
- Nutrition and Biochemistry Department, Faculty of Sciences, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Florian Herrmann
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Tomás Cerdó
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
- Carlos III Health Institute, Madrid, Spain
| | | | | | - Mercedes G. Bermúdez
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Health Sciences Technological Park, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Miguel Pérez-García
- Department of Personality, Assessment & Psychological Treatment, School of Psychology, University of Granada, Granada, Spain
- Mind, Brain and Behavior Research Centre—CIMCYC, University of Granada, Granada, Spain
| | - M. Teresa Miranda
- Department of Biostatistics, School of Medicine, University of Granada, Granada, Spain
| | - M. Carmen López-Sabater
- Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentària de la UB (INSA-UB), Barcelona, Spain
- National Network of Research in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III (Barcelona's Node), Madrid, Spain
| | - Andrés Catena
- Mind, Brain and Behavior Research Centre—CIMCYC, University of Granada, Granada, Spain
- Department of Experimental Psychology, School of Psychology, University of Granada, Granada, Spain
| | - Cristina Campoy
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Health Sciences Technological Park, Granada, Spain
- EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain
- National Network of Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III (Granada's Node), Madrid, Spain
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12
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Higgins RC, Keller KL, Aruma JC, Masterson TD, Adise S, Fearnbach N, Stein WM, English LK, Fuchs B, Pearce AL. Influence of exclusive breastfeeding on hippocampal structure, satiety responsiveness, and weight status. Matern Child Nutr 2022; 18:e13333. [PMID: 35167726 PMCID: PMC9218327 DOI: 10.1111/mcn.13333] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/09/2022] [Accepted: 01/31/2022] [Indexed: 12/23/2022]
Abstract
Longer exclusive breastfeeding duration has been associated with differences in neural development, better satiety responsiveness, and decreased risk for childhood obesity. Given hippocampus sensitivity to diet and potential role in the integration of satiety signals, hippocampus may play a role in these relationships. We conducted a secondary analysis of 149, 7–11‐year‐olds (73 males) who participated in one of five studies that assessed neural responses to food cues. Hippocampal grey matter volume was extracted from structural scans using CAT12, weight status was assessed using age‐ and sex‐adjusted body mass index (%BMIp85), and parents reported exclusive breastfeeding duration and satiety responsiveness (Children's Eating Behaviour Questionnaire). Separate path models for left and right hippocampus tested: (1) the direct effect of exclusive breastfeeding on satiety responsiveness and its indirect effect through hippocampal grey matter volume; (2) the direct effect of hippocampal grey matter volume on %BMIp85 and its indirect effect through satiety responsiveness. %BMIp85 was adjusted for maternal education, yearly income, and premature birth while hippocampal grey matter volume was adjusted for total intercranial volume, age, and study from which data were extracted. Longer exclusive breastfeeding duration was associated with greater bilateral hippocampal grey matter volumes. In addition, better satiety responsiveness and greater left hippocampal grey matter volume were both associated with lower %BMIp85. However, hippocampal grey matter volumes were not associated with satiety responsiveness. Although no relationship was found between breastfeeding and child weight status, these results highlight the potential impact of exclusive breastfeeding duration on the hippocampal structure. Longer exclusive breastfeeding was associated with greater bilateral hippocampal grey matter volume but not satiety responsiveness in children. While exclusive breastfeeding duration was not directly associated with weight status, better satiety responsiveness and greater left hippocampal grey matter volume were both associated with lower weight status in children. This study highlights the potential impact of exclusive breastfeeding on hippocampal structure, providing a possible mechanism in which breastfeeding may reduce the risk for excess childhood weight gain. Future studies need to determine the relative impact that complementary periods of breastfeeding may have on regional brain development and satiety responsiveness.
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Affiliation(s)
- Ryan C Higgins
- Pennsylvania State College of Medicine, University Park Campus, Hershey, Pennsylvania, USA
| | - Kathleen L Keller
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA.,Department of Food Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Jane C Aruma
- Pennsylvania State College of Medicine, University Park Campus, Hershey, Pennsylvania, USA
| | - Travis D Masterson
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Shana Adise
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA.,Division of Research on Children, Youth, and Families, Children's Hospital of Los Angeles, Los Angeles, California, USA
| | - Nicole Fearnbach
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA.,Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Wendy M Stein
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Laural K English
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA.,Nutrition Evidence Systematic Review (NESR), Office of Nutrition Guidance and Analysis (ONGA), Center for Nutrition Policy and Promotion (CNPP), Food and Nutrition Service (FNS), Alexandria, Virginia, USA.,The Panum Group, Bethesda, Maryland, USA
| | - Bari Fuchs
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Alaina L Pearce
- Department of Nutritional Sciences, Pennsylvania State University, State College, Pennsylvania, USA
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13
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Morton SU, Leyshon BJ, Tamilia E, Vyas R, Sisitsky M, Ladha I, Lasekan JB, Kuchan MJ, Grant PE, Ou Y. A Role for Data Science in Precision Nutrition and Early Brain Development. Front Psychiatry 2022; 13:892259. [PMID: 35815018 PMCID: PMC9259898 DOI: 10.3389/fpsyt.2022.892259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Multimodal brain magnetic resonance imaging (MRI) can provide biomarkers of early influences on neurodevelopment such as nutrition, environmental and genetic factors. As the exposure to early influences can be separated from neurodevelopmental outcomes by many months or years, MRI markers can serve as an important intermediate outcome in multivariate analyses of neurodevelopmental determinants. Key to the success of such work are recent advances in data science as well as the growth of relevant data resources. Multimodal MRI assessment of neurodevelopment can be supplemented with other biomarkers of neurodevelopment such as electroencephalograms, magnetoencephalogram, and non-imaging biomarkers. This review focuses on how maternal nutrition impacts infant brain development, with three purposes: (1) to summarize the current knowledge about how nutrition in stages of pregnancy and breastfeeding impact infant brain development; (2) to discuss multimodal MRI and other measures of early neurodevelopment; and (3) to discuss potential opportunities for data science and artificial intelligence to advance precision nutrition. We hope this review can facilitate the collaborative march toward precision nutrition during pregnancy and the first year of life.
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Affiliation(s)
- Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States.,Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | | | - Eleonora Tamilia
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States.,Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Rutvi Vyas
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States
| | - Michaela Sisitsky
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States
| | - Imran Ladha
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States
| | | | | | - P Ellen Grant
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States.,Department of Pediatrics, Harvard Medical School, Boston, MA, United States.,Department of Radiology, Boston Children's Hospital, Boston, MA, United States
| | - Yangming Ou
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, United States.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States.,Department of Pediatrics, Harvard Medical School, Boston, MA, United States.,Department of Radiology, Boston Children's Hospital, Boston, MA, United States
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14
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Jiménez S, Rotger L, Aguirre C, Muñoz A, Granados S, Tornero J. Prefiltering based on experimental paradigm for analysis of fMRI complex brain networks. PLoS One 2020; 15:e0238994. [PMID: 33052938 PMCID: PMC7556450 DOI: 10.1371/journal.pone.0238994] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 08/24/2020] [Indexed: 11/19/2022] Open
Abstract
Brain networks offers a new insight about connections between function and anatomical regions of human brain. We present results from brain networks built from functional magnetic resonance images during finger tapping paradigm. Pearson voxel-voxel correlation in time and frequency domains were performed for all subjects. Besides this standard framework we have implemented a new approach consisting in filtering the data with respect to the fMRI paradigm (finger tapping) in order to obtain a better understanding of the network involved in the execution of the task. The main topological graph measures have been compared in both cases: voxel-voxel correlation and voxel-paradigm filtering plus voxel-voxel correlation. With the standard voxel-voxel correlation a clearly free-scale network was obtained. On the other hand, when we prefiltered the paradigm we obtained two different kind of networks: 1) free-scale; 2) random-like. To our best knowledge, this behaviour is reported here for first time for brain networks. We suggest that paradigm signal prefiltering can provide more infomation about the brain networks.
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Affiliation(s)
- Salvador Jiménez
- Dept. Matemática Aplicada a las TIC, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
- * E-mail: (SJ); (JT)
| | - Laura Rotger
- Departamento de Radiología, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Alberto Muñoz
- Departamento de Radiología, Universidad Complutense de Madrid, Madrid, Spain
| | - Sergio Granados
- Unidad de Diagnóstico por Imagen, Hospital Los Madroños, Madrid, Spain
| | - Jesús Tornero
- Unidad de Diagnóstico por Imagen, Hospital Los Madroños, Madrid, Spain
- * E-mail: (SJ); (JT)
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15
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Li T, Badger TM, Bellando BJ, Sorensen ST, Lou X, Ou X. Brain Cortical Structure and Executive Function in Children May Be Influenced by Parental Choices of Infant Diets. AJNR Am J Neuroradiol 2020; 41:1302-1308. [PMID: 32527846 DOI: 10.3174/ajnr.a6601] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 04/17/2020] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE While it is known that breastfeeding promotes healthy brain development in children, the potential effects of formulas substantially differing in composition (ie, milk-based versus soy-based) during infancy on brain development are unclear. MATERIALS AND METHODS Seventy-one 8-year-old children who were predominantly breastfed, milk formula fed, or soy formula fed during infancy were recruited for an MR imaging examination of the brain and a Behavior Rating Inventory of Executive Function assessment (completed via a questionnaire to the parents). Brain cortical features measured from MR imaging such as cortical thickness and surface area were extracted and compared among groups and correlated with Behavior Rating Inventory of Executive Function test scores. RESULTS Clusters in the frontal and occipital lobes showed significant differences (cluster-wise P ≤ .05, corrected for multiple comparisons) in cortical thickness or surface area among the 3 diet groups. The effects were more prominent for boys, particularly for comparison of the milk formula fed versus soy formula fed boys. Assessments of executive function and behavior showed significantly lower Behavior Rating Inventory of Executive Function test scores in soy formula fed versus milk formula fed groups, which were mostly attributed to differences in boys. There were no differences between milk formula fed and breastfed groups for either sex. Mean cortical thickness for several of the clusters in the brain showing infant diet-associated effects significantly correlated with Behavior Rating Inventory of Executive Function scores. CONCLUSIONS Choices of infant diets (ie, breastfed, milk formula fed, soy formula fed) may have long-term and sex-specific effects on the cortical development and executive function and behavior of children's brains.
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Affiliation(s)
- T Li
- From the Departments of Radiology (T.L., X.O.)
- Arkansas Children's Nutrition Center (T.L., T.M.B., B.J.B., S.T.S., X.O.), Little Rock, Arkansas
- Department of Information Sciences (T.L., X.O.), University of Arkansas at Little Rock, Little Rock, Arkansas
| | - T M Badger
- Pediatrics (T.M.B., B.J.B., S.T.S., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (T.L., T.M.B., B.J.B., S.T.S., X.O.), Little Rock, Arkansas
| | - B J Bellando
- Pediatrics (T.M.B., B.J.B., S.T.S., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (T.L., T.M.B., B.J.B., S.T.S., X.O.), Little Rock, Arkansas
| | - S T Sorensen
- Pediatrics (T.M.B., B.J.B., S.T.S., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (T.L., T.M.B., B.J.B., S.T.S., X.O.), Little Rock, Arkansas
| | - X Lou
- Department of Biostatistics (X.L., X.O.), University of Florida, Gainesville, Florida
| | - X Ou
- From the Departments of Radiology (T.L., X.O.)
- Pediatrics (T.M.B., B.J.B., S.T.S., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (T.L., T.M.B., B.J.B., S.T.S., X.O.), Little Rock, Arkansas
- Department of Information Sciences (T.L., X.O.), University of Arkansas at Little Rock, Little Rock, Arkansas
- Department of Biostatistics (X.L., X.O.), University of Florida, Gainesville, Florida
- Arkansas Children's Research Institute (X.O.), Little Rock, Arkansas
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16
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Koshiyama D, Okada N, Ando S, Koike S, Yahata N, Morita K, Sawada K, Morita S, Kawakami S, Kanata S, Fujikawa S, Sugimoto N, Toriyama R, Masaoka M, Araki T, Kano Y, Endo K, Yamasaki S, Nishida A, Hiraiwa-Hasegawa M, Kasai K. Association between duration of breastfeeding based on maternal reports and dorsal and ventral striatum and medial orbital gyrus volumes in early adolescence. Neuroimage 2020; 220:117083. [PMID: 32593803 DOI: 10.1016/j.neuroimage.2020.117083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/16/2020] [Accepted: 06/22/2020] [Indexed: 11/23/2022] Open
Abstract
Maternal breastfeeding has an impact on motor and emotional development in children of the next generation. Elucidating how breastfeeding during infancy affects brain regional structural development in early adolescence will be helpful for promoting healthy development. However, previous studies that have shown relationships between breastfeeding during infancy and cortical brain regions in adolescence are usually based on maternal retrospective recall of breastfeeding, and the accuracy of the data is unclear. In this study, we investigated the association between breastfeeding duration and brain regional volume in a population-neuroimaging study of early adolescents in Japan (N = 207; 10.5-13.4 years) using voxel-based morphometry, which enabled us to analyze the whole brain. We evaluated breastfeeding duration as indexed by maternal and child health handbook records during infancy. The results showed a significant positive correlation between the duration of breastfeeding and gray matter volume in the dorsal and ventral striatum and the medial orbital gyrus. Post hoc exploratory analyses revealed that the duration of breastfeeding was significantly correlated with emotional behavior. Additionally, the volume in the medial orbital gyrus mediated an association between breastfeeding duration and emotional behavior. This is the first study to evaluate the effect of breastfeeding during infancy on regional brain volumes in early adolescence based on maternal and child health handbook records. Our findings shed light upon the importance of maternal breastfeeding for brain development related to emotional and motivational processing in early adolescence.
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17
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Ottolini KM, Andescavage N, Keller S, Limperopoulos C. Nutrition and the developing brain: the road to optimizing early neurodevelopment: a systematic review. Pediatr Res 2020; 87:194-201. [PMID: 31349359 PMCID: PMC7374795 DOI: 10.1038/s41390-019-0508-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 07/02/2019] [Accepted: 07/08/2019] [Indexed: 11/09/2022]
Abstract
BACKGROUND Neonatal intensive care practices have resulted in marked improvements in the survival of premature infants; however, they remain at significant risk for adverse neurodevelopmental outcomes. The impact of current nutritional practices on brain development following early extra-uterine exposure in premature infants is not well known. METHODS We performed a systematic review to investigate nutritional effects on postnatal brain development in healthy term and prematurely born infants utilizing advanced magnetic resonance imaging tools. RESULTS Systematic screen yielded 595 studies for appraisal. Of these, 22 total studies were selected for inclusion in the review, with findings summarized in a qualitative, descriptive fashion. CONCLUSION Fat and energy intake are associated with improved brain volume and development in premature infants. While breast milk intake and long-chain polyunsaturated fatty acid supplementation has been proven beneficial in term infants, the impact in preterm infants is less well understood.
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Affiliation(s)
- Katherine M. Ottolini
- Department of Neonatology, 18th Medical Operations Squadron, Kadena AB, Okinawa, Japan
| | - Nickie Andescavage
- Division of Neonatology, Children’s National Health System, 111 Michigan Avenue NW, Washington, DC 20010, USA,Department of Pediatrics, George Washington University School of Medicine, 2300 Eye Street NW, Washington, DC 20037, USA
| | - Susan Keller
- Department of Nursing Science Professional Practice and Quality, Children’s National Health System, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Catherine Limperopoulos
- Department of Pediatrics, George Washington University School of Medicine, 2300 Eye Street NW, Washington, DC, 20037, USA. .,Division of Diagnostic Imaging and Radiology, Children's National Health System, 111 Michigan Avenue NW, Washington, DC, 20010, USA. .,Department of Radiology, George Washington University School of Medicine, 2300 Eye Street NW, Washington, DC, 20037, USA.
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18
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Solis-Urra P, Esteban-Cornejo I, Cadenas-Sanchez C, Rodriguez-Ayllon M, Mora-Gonzalez J, Migueles JH, Labayen I, Verdejo-Román J, Kramer AF, Erickson KI, Hillman CH, Catena A, Ortega FB. Early life factors, gray matter brain volume and academic performance in overweight/obese children: The ActiveBrains project. Neuroimage 2019; 202:116130. [PMID: 31465844 DOI: 10.1016/j.neuroimage.2019.116130] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 07/24/2019] [Accepted: 08/23/2019] [Indexed: 11/28/2022] Open
Abstract
Early life factors may influence brain and academic outcomes later in life, especially during childhood. Here we investigate the associations of early life factors (i.e., birth weight, birth length, and breastfeeding) with gray matter volume, adjusted for body mass index and cardiorespiratory fitness, and ii) we test whether early-life factor-related differences in gray matter volume are associated with academic performance in overweight/obese children. 96 children with overweight/obesity aged 8-11 years participated. Birth weight, birth length and gestational age were collected from birth records, and breastfeeding practices were asked to parents. T1-weighted images were acquired with a 3.0 T Magnetom Tim Trio system. Academic performance was assessed with the Bateria III Woodcock-Muñoz Tests of Achievement. Whole-brain voxel-wise multiple regressions were used to test the associations of each early life factor with gray matter volume. Higher birth weight and birth length were associated with greater gray matter volume in 9 brain regions including the middle frontal gyrus, rectal gyrus, thalamus, putamen, middle temporal gyrus, lingual gyrus, middle occipital gyrus, calcarine cortex and cerebellum bilaterally (β ranging from 0.361 to 0.539, t ranging from 3.46 to 5.62 and cluster size from 82 to 4478 voxels; p < 0.001); and greater duration of any breastfeeding was associated with greater gray matter volume in 3 regions including the bilateral inferior frontal gyrus and rolandic operculum (β ranging from 0.359 to 0.408, t ranging from 4.01 to 4.32 and cluster size from 64 to 171 voxels; p < 0.001). No associations were found for duration of exclusive breastfeeding. Additionally, none of the gray matter regions that were associated with the early life factors were associated with academic performance (all p > 0.05). Our results demonstrate that birth weight, birth length, and breastfeeding are predictive of gray matter volume of numerous brain structures that are involved in higher order cognition and emotion regulation, but how these results relate to measures of academic achievement remain a matter of speculation.
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Affiliation(s)
- Patricio Solis-Urra
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain; IRyS Research Group, School of Physical Education, Pontificia Universidad Católica de Valparaiso, Valparaiso, Chile.
| | - Irene Esteban-Cornejo
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain; Department of Psychology, Northeastern University, Boston, MA, USA
| | - Cristina Cadenas-Sanchez
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain
| | - Maria Rodriguez-Ayllon
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain
| | - Jose Mora-Gonzalez
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain
| | - Jairo H Migueles
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain
| | - Idoia Labayen
- Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Pamplona, Spain
| | - Juan Verdejo-Román
- Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain; Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Pozuelo de Alarcón, Spain
| | - Arthur F Kramer
- Department of Psychology, Northeastern University, Boston, MA, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, 3601 Sennott Square, Pittsburgh, PA, USA
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA; Department of Physical Therapy, Movement & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Andrés Catena
- Department of Experimental Psychology, Mind, Brain and Behaviour Research Centre (CIMCYC), University of Granada, Granada, Spain
| | - Francisco B Ortega
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Spain
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19
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Abstract
Professional organizations worldwide recommend exclusive human milk/breastfeeding for the first 6 months of life, and continued breastfeeding with appropriate complementary foods for 1 year or more. This article focuses on the importance of prenatal messaging and goal setting to ensure that mothers are able to optimize their milk supply during the critical window of opportunity in first 2 weeks after delivery. Research data in the United States indicate that the largest categories of why women stopped breastfeeding were for reasons related to milk supply or concerns that the infant was not getting enough nutrition or gaining enough weight.
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Affiliation(s)
- Diane L Spatz
- Department of Family and Community Health, The University of Pennsylvania School of Nursing, The Children's Hospital of Philadelphia, 418 Curie Boulevard, Philadelphia, PA 19104, USA.
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20
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Deoni SC, Adams SH, Li X, Badger TM, Pivik RT, Glasier CM, Ramakrishnaiah RH, Rowell AC, Ou X. Cesarean Delivery Impacts Infant Brain Development. AJNR Am J Neuroradiol 2019; 40:169-177. [PMID: 30467219 DOI: 10.3174/ajnr.a5887] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 10/06/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND PURPOSE The cesarean delivery rate has increased globally in the past few decades. Neurodevelopmental outcomes associated with cesarean delivery are still unclear. This study investigated whether cesarean delivery has any effect on the brain development of offspring. MATERIALS AND METHODS A total of 306 healthy children were studied retrospectively. We included 3 cohorts: 2-week-old neonates (cohort 1, n = 32/11 for vaginal delivery/cesarean delivery) and 8-year-old children (cohort 2, n = 37/23 for vaginal delivery/cesarean delivery) studied at Arkansas Children's Hospital, and a longitudinal cohort of 3-month to 5-year-old children (cohort 3, n = 164/39 for vaginal delivery/cesarean delivery) studied independently at Brown University. Diffusion tensor imaging, myelin water fraction imaging, voxel-based morphometry, and/or resting-state fMRI data were analyzed to evaluate white matter integrity, myelination, gray matter volume, and/or functional connectivity, respectively. RESULTS While not all MR imaging techniques were shared across the institutions/cohorts, post hoc analyses showed similar results of potential effects of cesarean delivery. The cesarean delivery group in cohort 1 showed significantly lower white matter development in widespread brain regions and significantly lower functional connectivity in the brain default mode network, controlled for a number of potential confounders. No group differences were found in cohort 2 in white matter integrity or gray matter volume. Cohort 3 had significantly different trajectories of white matter myelination between groups, with those born by cesarean delivery having reduced myelin in infancy but normalizing with age. CONCLUSIONS Cesarean delivery may influence infant brain development. The impact may be transient because similar effects were not observed in older children. Further prospective and longitudinal studies may be needed to confirm these novel findings.
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Affiliation(s)
- S C Deoni
- School of Engineering (S.C.D.), Brown University, Providence, Rhode Island
| | - S H Adams
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - X Li
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
| | - T M Badger
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - R T Pivik
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - C M Glasier
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - R H Ramakrishnaiah
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - A C Rowell
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - X Ou
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
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21
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Zeng Y, Tang Y, Tang J, Shi J, Zhang L, Zhu T, Xiao D, Qu Y, Mu D. Association between the different duration of breastfeeding and attention deficit/hyperactivity disorder in children: a systematic review and meta-analysis. Nutr Neurosci 2018; 23:811-823. [PMID: 30577717 DOI: 10.1080/1028415x.2018.1560905] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Objectives: To summarize the current evidence on the association between maternal breastfeeding and the occurrence of attention deficit/hyperactivity disorder (ADHD) in offspring. Methods: We searched for studies published in English before May 2018 using the PubMed, EMBASE, Cochrane, and Web of Science databases. We included cohort studies, case-control studies, and cross-sectional studies, that focused on the association between maternal breastfeeding and the occurrence of ADHD in offspring. Random effects models were used for combined analyses. Results: Two cohort studies, 7 case-control studies and 3 cross-sectional studies, with 3,686 cases and 106,907 participants, were included. Children with any maternal breastfeeding had a lower incidence of ADHD than children who were never breastfed (odds ratio [OR]: 0.70; 95% confidence interval [CI]:0.52-0.93). Further analyses also showed associations between reduced ADHD incidence and duration of breastfeeding. Children breastfed for over 1 month, over 3 months, over 6 months, and over 12 months had a lower incidence of ADHD than children breastfed for less than 1 month (OR: 0.20; 95% CI: 0.11-0.38), less than 3 months (OR: 0.33; 95% CI: 0.23-0.47), less than 6 months (OR: 0.50; 95% CI: 0.41-0.61), and less than 12 months (OR: 0.55; 95% CI: 0.37-0.81), respectively. These results were stable in the 1-month, 3-month, and 6-month breastfeeding groups. Conclusion: With our meta-analysis, we provide evidence that maternal breastfeeding may reduce the risk of ADHD in children. The causality of this relationship and underlying mechanisms need to be explored in future prospective studies.
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Affiliation(s)
- Yan Zeng
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Ying Tang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Jun Tang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Jing Shi
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Li Zhang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Tingting Zhu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Dongqiong Xiao
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.,Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, People's Republic of China
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22
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Liu Z, Neuringer M, Erdman JW, Kuchan MJ, Renner L, Johnson EE, Wang X, Kroenke CD. The effects of breastfeeding versus formula-feeding on cerebral cortex maturation in infant rhesus macaques. Neuroimage 2018; 184:372-385. [PMID: 30201462 DOI: 10.1016/j.neuroimage.2018.09.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 09/04/2018] [Accepted: 09/06/2018] [Indexed: 12/23/2022] Open
Abstract
Breastfeeding is positively associated with several outcomes reflecting early brain development and cognitive functioning. Brain neuroimaging studies have shown that exclusively breastfed children have increased white matter and subcortical gray matter volume compared to formula-fed children. However, it is difficult to disentangle the effects of nutrition in breast milk from other confounding factors that affect brain development, particularly in studies of human subjects. Among the nutrients provided by human breast milk are the carotenoid lutein and the natural form of tocopherol, both of which are selectively deposited in brain. Lutein is the predominant carotenoid in breast milk but not in most infant formulas, whereas infant formulas are supplemented with the synthetic form of tocopherol. In this study, a non-human primate model was used to investigate the effects of breastfeeding versus formula-feeding, as well as lutein and natural RRR-α-tocopherol supplementation of infant formula, on brain maturation under controlled experimental conditions. Infant rhesus macaques (Macaca mulatta) were exclusively breastfed, or were fed infant formulas with different levels and sources of lutein and α-tocopherol. Of note, the breastfed group were mother-reared whereas the formula-fed infants were nursery-reared. Brain structural and diffusion MR images were collected, and brain T2 was measured, at two, four and six months of age. The mother-reared breastfed group was observed to differ from the formula-fed groups by possessing higher diffusion fractional anisotropy (FA) in the corpus callosum, and lower FA in the cerebral cortex at four and six months of age. Cortical regions exhibiting the largest differences include primary motor, premotor, lateral prefrontal, and inferior temporal cortices. No differences were found between the formula groups. Although this study did not identify a nutritional component of breast milk that could be provided to infant formula to facilitate brain maturation consistent with that observed in breastfed animals, our findings indicate that breastfeeding promoted maturation of the corpus callosum and cerebral cortical gray matter in the absence of several confounding factors that affect studies in human infants. However, differences in rearing experience remain as a potential contributor to brain structural differences between breastfed and formula fed infants.
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Affiliation(s)
- Zheng Liu
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA; Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Martha Neuringer
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA; Casey Eye Institute, Oregon Health & Science University, Portland, OR, USA
| | - John W Erdman
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Lauren Renner
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Emily E Johnson
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Xiaojie Wang
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA; Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Christopher D Kroenke
- Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA; Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA.
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23
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Abstract
PURPOSE OF REVIEW Breastfeeding has clear short-term benefits for child survival. Concerning its long-term consequences, it has been reported that subjects who had been breastfed would have a better performance in intelligence tests. In this review, we perused the recently published studies on the association of breastfeeding with developmental outcomes. RECENT FINDINGS A meta-analysis published in 2015 reported that intelligence quotient (IQ) was 3.44 points (95% confidence interval: 2.30; 4.58) higher among subjects who had been breastfed, and this association was observed even among those studies that controlled for maternal IQ. In the present review, we identified two studies that reported that duration of breastfeeding was positively associated with IQ in childhood, whereas another study reported that cognitive score at 67.9 years of age was higher among those subjects who had been breastfed for at least 6 months. Furthermore, two studies reported that the small gain in IQ was associated with higher school achievement and income in adulthood. Concerning the possible mechanisms for the effect of breastfeeding on development, children who had been breastfed showed greater gray matter volume in the left and right parietal and left temporal lobes and more activation in the right frontal and temporal lobes for perception tasks, whereas for the language task, the activation was higher in the left temporal lobe. Moreover, it has been reported that subcortical gray matter volume mediated the association between breastfeeding and IQ. SUMMARY The new studies identified in the review reinforce the evidence that breastfeeding has long-term consequences on performance in intelligence tests. In addition, this association between breastfeeding and development has long-term consequences on human capital, increasing earning ability.
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Affiliation(s)
- Bernardo L Horta
- Postgraduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil
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24
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Deoni S, Dean D, Joelson S, O'Regan J, Schneider N. Early nutrition influences developmental myelination and cognition in infants and young children. Neuroimage 2017; 178:649-659. [PMID: 29277402 DOI: 10.1016/j.neuroimage.2017.12.056] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 11/03/2017] [Accepted: 12/18/2017] [Indexed: 12/11/2022] Open
Abstract
Throughout early neurodevelopment, myelination helps provide the foundation for brain connectivity and supports the emergence of cognitive and behavioral functioning. Early life nutrition is an important and modifiable factor that can shape myelination and, consequently, cognitive outcomes. Differences in the nutritional composition between human breast and formula milk may help explain the functional and cognitive disparity often observed between exclusively breast versus formula-fed children. However, past cognitive and brain imaging studies comparing breast and formula feeding are often: cross-sectional; performed in older children and adolescents relying on parental recall of infant feeding; and generally treat formula-fed children as a single group despite the variability between formula compositions. Here we address some of these weakness by examining longitudinal trajectories of brain and neurocognitive development in children who were exclusively breastfed versus formula-fed for at least 3 months. We further examine development between children who received different formula compositions. Results reveal significantly improved overall myelination in breastfed children accompanied by increased general, verbal, and non-verbal cognitive abilities compared to children who were exclusively formula-fed. These differences were found to persist into childhood even with groups matched for important socioeconomic and demographic factors. We also find significant developmental differences depending on formula composition received and that, in particular, long-chain fatty acids, iron, choline, sphingomyelin and folic acid are significantly associated with early myelination trajectories. These results add to the consensus that prolonged and exclusive breastfeeding plays an important role in early neurodevelopment and childhood cognitive outcomes.
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Affiliation(s)
- Sean Deoni
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, RI, United States.
| | - Douglas Dean
- University of Wisconsin-Madison, Waisman Centre, Madison, WI, United States
| | - Sarah Joelson
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, RI, United States
| | | | - Nora Schneider
- Nestle Research Centre, Nestec Ltd, Neurodevelopment & Cognition, Lausanne, Switzerland
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25
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Lee SH, Weerasinghe WMSP, van der Werf JHJ. Genotype-environment interaction on human cognitive function conditioned on the status of breastfeeding and maternal smoking around birth. Sci Rep 2017; 7:6087. [PMID: 28729621 PMCID: PMC5519601 DOI: 10.1038/s41598-017-06214-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 06/08/2017] [Indexed: 11/23/2022] Open
Abstract
We estimated genotype by environment interaction (G × E) on later cognitive performance and educational attainment across four unique environments, i.e. 1) breastfed without maternal smoking, 2) breastfed with maternal smoking, 3) non-breastfed without maternal smoking and 4) non-breastfed with maternal smoking, using a novel design and statistical approach that was facilitated by the availability of datasets with the genome-wide single nucleotide polymorphisms (SNPs). There was significant G × E for both fluid intelligence (p-value = 1.0E-03) and educational attainment (p-value = 8.3E-05) when comparing genetic effects in the group of individuals who were breastfed without maternal smoking with those not breastfed without maternal smoking. There was also significant G × E for fluid intelligence (p-value = 3.9E-05) when comparing the group of individuals who were breastfed with maternal smoking with those not breastfed without maternal smoking. Genome-wide significant SNPs were different between different environmental groups. Genomic prediction accuracies were significantly higher when using the target and discovery sample from the same environmental group than when using those from the different environmental groups. This finding demonstrates G × E has important implications for future studies on the genetic architecture, genome-wide association studies and genomic predictions.
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Affiliation(s)
- S Hong Lee
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales 2351, Australia.
| | - W M Shalanee P Weerasinghe
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales 2351, Australia
| | - Julius H J van der Werf
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales 2351, Australia
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26
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Abstract
Optimal nutrition early in life is critical to ensure proper structural and functional development of infant organ systems. Although pediatric nutrition historically has emphasized research on the relation between nutrition, growth rates, and gastrointestinal maturation, efforts increasingly have focused on how nutrition influences neurodevelopment. The provision of human milk is considered the gold standard in pediatric nutrition; thus, there is interest in understanding how functional nutrients and bioactive components in milk may modulate developmental processes. The piglet has emerged as an important translational model for studying neurodevelopmental outcomes influenced by pediatric nutrition. Given the comparable nutritional requirements and strikingly similar brain developmental patterns between young pigs and humans, the piglet is being used increasingly in developmental nutritional neuroscience studies. The piglet primarily has been used to assess the effects of dietary fatty acids and their accretion in the brain throughout neurodevelopment. However, recent research indicates that other dietary components, including choline, iron, cholesterol, gangliosides, and sialic acid, among other compounds, also affect neurodevelopment in the pig model. Moreover, novel analytical techniques, including but not limited to MRI, behavioral assessments, and molecular quantification, allow for a more holistic understanding of how nutrition affects neurodevelopmental patterns. By combining early-life nutritional interventions with innovative analytical approaches, opportunities abound to quantify factors affecting neurodevelopmental trajectories in the neonate. This review discusses research using the translational pig model with primary emphasis on early-life nutrition interventions assessing neurodevelopment outcomes, while also discussing nutritionally-sensitive methods to characterize brain maturation.
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Affiliation(s)
- Austin T Mudd
- Piglet Nutrition and Cognition Laboratory
- Neuroscience Program
| | - Ryan N Dilger
- Piglet Nutrition and Cognition Laboratory,
- Neuroscience Program
- Division of Nutritional Sciences, and
- Department of Animal Sciences, University of Illinois, Urbana, IL
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27
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Pivik RT, Andres A, Bai S, Cleves MA, Tennal KB, Gu Y, Badger TM. Infant Diet-Related Changes in Syllable Processing Between 4 and 5 Months: Implications for Developing Native Language Sensitivity. Dev Neuropsychol 2016; 41:215-230. [PMID: 27759424 DOI: 10.1080/87565641.2016.1236109] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Since maturational processes triggering increased attunement to native language features in early infancy are sensitive to dietary factors, infant-diet related differences in brain processing of native-language speech stimuli might indicate variations in the onset of this tuning process. We measured cortical responses (ERPs) to syllables in 4 and 5 month old infants fed breast milk, milk formula, or soy formula and found syllable discrimination (P350) and syntactic-related functions (P600) but not syllable perception (P170) varied by diet, but not gender or background measures. The results suggest breastfed and formula-fed infants differ in onset of this critical period in speech perception.
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Affiliation(s)
- R T Pivik
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas.,b Department of Pediatrics and the Arkansas Children's Hospital Research Institute , University of Arkansas for Medical Sciences , Little Rock , Arkansas
| | - Aline Andres
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas.,b Department of Pediatrics and the Arkansas Children's Hospital Research Institute , University of Arkansas for Medical Sciences , Little Rock , Arkansas
| | - Shasha Bai
- b Department of Pediatrics and the Arkansas Children's Hospital Research Institute , University of Arkansas for Medical Sciences , Little Rock , Arkansas
| | - Mario A Cleves
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas.,b Department of Pediatrics and the Arkansas Children's Hospital Research Institute , University of Arkansas for Medical Sciences , Little Rock , Arkansas
| | - Kevin B Tennal
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas
| | - Yuyuan Gu
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas
| | - Thomas M Badger
- a Arkansas Children's Nutrition Center , Little Rock , Arkansas.,b Department of Pediatrics and the Arkansas Children's Hospital Research Institute , University of Arkansas for Medical Sciences , Little Rock , Arkansas
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Jacob RM, Mudd AT, Alexander LS, Lai CS, Dilger RN. Comparison of Brain Development in Sow-Reared and Artificially Reared Piglets. Front Pediatr 2016; 4:95. [PMID: 27672632 PMCID: PMC5018487 DOI: 10.3389/fped.2016.00095] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 08/29/2016] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Provision of adequate nutrients is critical for proper growth and development of the neonate, yet the impact of breastfeeding versus formula feeding on neural maturation has to be fully determined. Using the piglet as a model for the human infant, our objective was to compare neurodevelopment of piglets that were either sow-reared (SR) or artificially reared (AR) in an artificial setting. METHODS Over a 25-day feeding study, piglets (1.5 ± 0.2 kg initial bodyweight) were either SR (n = 10) with ad libitum intake or AR (n = 29) receiving an infant formula modified to mimic the nutritional profile and intake pattern of sow's milk. At study conclusion, piglets were subjected to a standardized set of magnetic resonance imaging (MRI) procedures to quantify structure and composition of the brain. RESULTS Diffusion tensor imaging, an MRI sequence that characterizes brain microstructure, revealed that SR piglets had greater (P < 0.05) average white matter (WM) (generated from a piglet specific brain atlas) fractional anisotropy (FA), and lower (P < 0.05) mean and radial and axial diffusivity values compared with AR piglets, suggesting differences in WM organization. Voxel-based morphometric analysis, a measure of white and gray matter (GM) volumes concentrations, revealed differences (P < 0.05) in bilateral development of GM clusters in the cortical brain regions of the AR piglets compared with SR piglets. Region of interest analysis revealed larger (P < 0.05) whole brain volumes in SR animals compared with AR, and certain subcortical regions to be larger (P < 0.05) as a percentage of whole brain volume in AR piglets compared with SR animals. Quantification of brain metabolites using magnetic resonance spectroscopy revealed SR piglets had higher (P < 0.05) concentrations of myo-inositol, glycerophosphocholine + phosphocholine, and creatine + phosphocreatine compared with AR piglets. However, glutamate + glutamine levels were higher (P < 0.05) in AR piglets when compared with SR animals. CONCLUSION Overall, increases in brain metabolite concentrations, coupled with greater FA values in WM tracts and volume differences in GM of specific brain regions, suggest differences in myelin development and cell proliferation in SR versus AR piglets.
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Affiliation(s)
- Reeba M. Jacob
- Piglet Nutrition and Cognition Laboratory, University of Illinois, Urbana, IL, USA
- Division of Nutritional Sciences, University of Illinois, Urbana, IL, USA
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA
| | - Austin T. Mudd
- Piglet Nutrition and Cognition Laboratory, University of Illinois, Urbana, IL, USA
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA
- Neuroscience Program, University of Illinois, Urbana, IL, USA
| | - Lindsey S. Alexander
- Piglet Nutrition and Cognition Laboratory, University of Illinois, Urbana, IL, USA
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA
| | - Chron-Si Lai
- Abbott Nutrition, Abbott Laboratories, Columbus, OH, USA
| | - Ryan N. Dilger
- Piglet Nutrition and Cognition Laboratory, University of Illinois, Urbana, IL, USA
- Division of Nutritional Sciences, University of Illinois, Urbana, IL, USA
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA
- Neuroscience Program, University of Illinois, Urbana, IL, USA
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