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Abe T, Yamashita K, Kikuchi K, Hatai E, Fujii F, Chong PF, Sakai Y, Saitsu H, Inoue K, Togao O, Ishigami K. Diagnostic MR imaging features of hypomyelination of early myelinating structures: A case report. Neuroradiol J 2023:19714009231224419. [PMID: 38146229 DOI: 10.1177/19714009231224419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023] Open
Abstract
Hypomyelination of early myelinating structures (HEMS) has recently been defined as a new genetic disorder accompanied by clinical and MR imaging characteristics. However, no studies have focused on diffusion-weighted imaging (DWI) findings of HEMS. We would like to propose a "sheep sign," which is formed by DWI hyperintensity in the medial medullary lamina along with alternating high-low-high (HLH) intensity stripes in the posterior limb of the internal capsule. We believe the presence of the "sheep sign" on DWI in combination with alternating HLH intensity stripes may be a valuable tool for diagnosing HEMS.
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Affiliation(s)
- Tokiko Abe
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Koji Yamashita
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Kazufumi Kikuchi
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Eriko Hatai
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Fumihiko Fujii
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Pin Fee Chong
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Yasunari Sakai
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Hirotomo Saitsu
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Ken Inoue
- Department of Mental Retardation and Birth Defect Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Japan
| | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
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2
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Na X, Glasier CM, Andres A, Ou X. Maternal Diet Quality during Pregnancy Is Associated with Neonatal Brain White Matter Development. Nutrients 2023; 15:5114. [PMID: 38140373 PMCID: PMC10745593 DOI: 10.3390/nu15245114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Maternal diet and nutrient intake are important for fetal growth and development. In this study, we aim to evaluate whether there are associations between maternal diet quality and the offspring's brain white matter development. Healthy pregnant women's (N = 44) nutrition intake was assessed by the Healthy Eating Index-2015 (HEI-2015) during the first, second, and third trimesters, respectively. Correlations between MRI diffusion tensor imaging measured fractional anisotropy (FA) of the neonatal brain and the HEI-2015 scores were evaluated using voxel-wise analysis with appropriate multiple comparisons correction and post hoc analysis based on regions of interest. Significant correlations were found between sodium scores at the first trimester of pregnancy and mean neonatal FA values in parietal white matter (R = 0.39, p = 0.01), anterior corona radiata (R = 0.43, p = 0.006), posterior limb of internal capsule (R = 0.53, p < 0.001), external capsule (R = 0.44, p = 0.004), and temporal white matter (R = 0.50, p = 0.001) of the left hemisphere. No other correlations were identified. In conclusion, the relationships between the maternal sodium intake score and the neonatal white matter microstructural development indicate sodium intake patterns better aligned with the Dietary Guidelines for Americans during early pregnancy are associated with greater white matter development in the offspring's brain.
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Affiliation(s)
- Xiaoxu Na
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA
- Arkansas Children’s Research Institute, Little Rock, AR 72205, USA
| | - Charles M. Glasier
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Aline Andres
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA
- Arkansas Children’s Research Institute, Little Rock, AR 72205, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Xiawei Ou
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Arkansas Children’s Nutrition Center, Little Rock, AR 72202, USA
- Arkansas Children’s Research Institute, Little Rock, AR 72205, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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3
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Nivins S, Kennedy E, McKinlay C, Thompson B, Harding JE. Size at birth predicts later brain volumes. Sci Rep 2023; 13:12446. [PMID: 37528153 PMCID: PMC10393952 DOI: 10.1038/s41598-023-39663-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 07/28/2023] [Indexed: 08/03/2023] Open
Abstract
We aimed to investigate whether gestation at birth, birth weight, and head circumference at birth are still associated with brain volume and white matter microstructure at 9-10 years in children born late-preterm and at term. One hundred and eleven children born at ≥ 36 weeks gestation from the CHYLD Study cohort underwent brain magnetic resonance imaging at 9 to 10 years. Images were analysed using FreeSurfer for volumetric data and tract-based spatial statistics for diffusion data. Of the cohort, 101 children were included for volumetric analysis [boys, 49(49%); median age, 9.5 (range: 8.9-12.4) years]. Shorter gestation at birth, lower birthweight, and smaller birth head circumference were associated with smaller brain volumes at 9 to 10 years, both globally and regionally. Amongst the perinatal factors studied, head circumference at birth was the strongest predictor of later brain volumes. Gestation at birth and absolute birthweight were not associated with diffusion metrics of white matter skeleton. However, lower birthweight z-score was associated with higher fractional anisotropy and lower radial diffusivity. Our findings suggest that even in children born late preterm and at term, growth before birth and timing of birth are still associated with brain development in mid-childhood.
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Affiliation(s)
- Samson Nivins
- Liggins Institute, University of Auckland, Building 503, Level 2, 85 Park Road, Auckland, New Zealand
| | - Eleanor Kennedy
- Liggins Institute, University of Auckland, Building 503, Level 2, 85 Park Road, Auckland, New Zealand
| | - Christopher McKinlay
- Liggins Institute, University of Auckland, Building 503, Level 2, 85 Park Road, Auckland, New Zealand
- Kidz First Neonatal Care, Counties Manukau Health, Auckland, New Zealand
| | - Benjamin Thompson
- Liggins Institute, University of Auckland, Building 503, Level 2, 85 Park Road, Auckland, New Zealand
- School of Optometry and Vision Science, University of Waterloo, Waterloo, ON, Canada
- Centre for Eye and Vision Research, The Hong Kong Polytechnic University, 17W Science Park, Shatin, Hong Kong
| | - Jane E Harding
- Liggins Institute, University of Auckland, Building 503, Level 2, 85 Park Road, Auckland, New Zealand.
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4
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Na X, Glasier CM, Andres A, Bellando J, Chen H, Gao W, Livingston LW, Badger TM, Ou X. Associations between mother's depressive symptoms during pregnancy and newborn's brain functional connectivity. Cereb Cortex 2023; 33:8980-8989. [PMID: 37218652 PMCID: PMC10350841 DOI: 10.1093/cercor/bhad176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 05/24/2023] Open
Abstract
Depression during pregnancy is common and the prevalence further increased during the COVID pandemic. Recent findings have shown potential impact of antenatal depression on children's neurodevelopment and behavior, but the underlying mechanisms are unclear. Nor is it clear whether mild depressive symptoms among pregnant women would impact the developing brain. In this study, 40 healthy pregnant women had their depressive symptoms evaluated by the Beck Depression Inventory-II at ~12, ~24, and ~36 weeks of pregnancy, and their healthy full-term newborns underwent a brain MRI without sedation including resting-state fMRI for evaluation of functional connectivity development. The relationships between functional connectivities and maternal Beck Depression Inventory-II scores were evaluated by Spearman's rank partial correlation tests using appropriate multiple comparison correction with newborn's gender and gestational age at birth controlled. Significant negative correlations were identified between neonatal brain functional connectivity and mother's Beck Depression Inventory-II scores in the third trimester, but not in the first or second trimester. Higher depressive symptoms during the third trimester of pregnancy were associated with lower neonatal brain functional connectivity in the frontal lobe and between frontal/temporal lobe and occipital lobe, indicating a potential impact of maternal depressive symptoms on offspring brain development, even in the absence of clinical depression.
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Affiliation(s)
- Xiaoxu Na
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
| | - Charles M Glasier
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
| | - Aline Andres
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
- Arkansas Children’s Nutrition Center, Little Rock 72202, AR, United States
- Arkansas Children’s Research Institute, Little Rock 72202, AR, United States
| | - Jayne Bellando
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
| | - Haitao Chen
- Department of Biomedical Sciences and Imaging, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States
- Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States
- Department of Bioengineering, University of California at Los Angeles, Los Angeles, CA 90095, United States
| | - Wei Gao
- Department of Biomedical Sciences and Imaging, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States
- Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States
| | - Luke W Livingston
- College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
| | - Thomas M Badger
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
- Arkansas Children’s Nutrition Center, Little Rock 72202, AR, United States
- Arkansas Children’s Research Institute, Little Rock 72202, AR, United States
| | - Xiawei Ou
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States
- Arkansas Children’s Nutrition Center, Little Rock 72202, AR, United States
- Arkansas Children’s Research Institute, Little Rock 72202, AR, United States
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5
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Buckley S, Uvnäs-Moberg K, Pajalic Z, Luegmair K, Ekström-Bergström A, Dencker A, Massarotti C, Kotlowska A, Callaway L, Morano S, Olza I, Magistretti CM. Maternal and newborn plasma oxytocin levels in response to maternal synthetic oxytocin administration during labour, birth and postpartum - a systematic review with implications for the function of the oxytocinergic system. BMC Pregnancy Childbirth 2023; 23:137. [PMID: 36864410 PMCID: PMC9979579 DOI: 10.1186/s12884-022-05221-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 11/15/2022] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND The reproductive hormone oxytocin facilitates labour, birth and postpartum adaptations for women and newborns. Synthetic oxytocin is commonly given to induce or augment labour and to decrease postpartum bleeding. AIM To systematically review studies measuring plasma oxytocin levels in women and newborns following maternal administration of synthetic oxytocin during labour, birth and/or postpartum and to consider possible impacts on endogenous oxytocin and related systems. METHODS Systematic searches of PubMed, CINAHL, PsycInfo and Scopus databases followed PRISMA guidelines, including all peer-reviewed studies in languages understood by the authors. Thirty-five publications met inclusion criteria, including 1373 women and 148 newborns. Studies varied substantially in design and methodology, so classical meta-analysis was not possible. Therefore, results were categorized, analysed and summarised in text and tables. RESULTS Infusions of synthetic oxytocin increased maternal plasma oxytocin levels dose-dependently; doubling the infusion rate approximately doubled oxytocin levels. Infusions below 10 milliunits per minute (mU/min) did not raise maternal oxytocin above the range observed in physiological labour. At high intrapartum infusion rates (up to 32 mU/min) maternal plasma oxytocin reached 2-3 times physiological levels. Postpartum synthetic oxytocin regimens used comparatively higher doses with shorter duration compared to labour, giving greater but transient maternal oxytocin elevations. Total postpartum dose was comparable to total intrapartum dose following vaginal birth, but post-caesarean dosages were higher. Newborn oxytocin levels were higher in the umbilical artery vs. umbilical vein, and both were higher than maternal plasma levels, implying substantial fetal oxytocin production in labour. Newborn oxytocin levels were not further elevated following maternal intrapartum synthetic oxytocin, suggesting that synthetic oxytocin at clinical doses does not cross from mother to fetus. CONCLUSIONS Synthetic oxytocin infusion during labour increased maternal plasma oxytocin levels 2-3-fold at the highest doses and was not associated with neonatal plasma oxytocin elevations. Therefore, direct effects from synthetic oxytocin transfer to maternal brain or fetus are unlikely. However, infusions of synthetic oxytocin in labour change uterine contraction patterns. This may influence uterine blood flow and maternal autonomic nervous system activity, potentially harming the fetus and increasing maternal pain and stress.
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Affiliation(s)
- Sarah Buckley
- grid.1003.20000 0000 9320 7537Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | | | - Zada Pajalic
- grid.463529.f0000 0004 0610 6148Faculty for Health Sciences, VID Specialized University, Oslo, Norway
| | - Karolina Luegmair
- grid.9018.00000 0001 0679 2801Institute for Health Care and Nursing Studies, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Anette Ekström-Bergström
- grid.412716.70000 0000 8970 3706Department of Health Sciences, University West, Trollhättan, Sweden
| | - Anna Dencker
- grid.8761.80000 0000 9919 9582Institute of Health and Care Sciences, The Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
| | - Claudia Massarotti
- grid.5606.50000 0001 2151 3065Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Alicja Kotlowska
- grid.11451.300000 0001 0531 3426Department of Clinical and Experimental Endocrinology, Faculty of Health Sciences, Medical University of Gdańsk, Gdańsk, Poland
| | - Leonie Callaway
- grid.1003.20000 0000 9320 7537Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Sandra Morano
- grid.5606.50000 0001 2151 3065Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Ibone Olza
- European Institute of Perinatal Mental Health, Madrid, Spain
| | - Claudia Meier Magistretti
- grid.425064.10000 0001 2191 8943Institute for Health Policies, Prevention and Health Promotion, Lucerne University of Applied Sciences and Arts, Luzern, Switzerland
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6
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Moody JF, Aggarwal N, Dean DC, Tromp DPM, Kecskemeti SR, Oler JA, Kalin NH, Alexander AL. Longitudinal assessment of early-life white matter development with quantitative relaxometry in nonhuman primates. Neuroimage 2022; 251:118989. [PMID: 35151851 PMCID: PMC8940652 DOI: 10.1016/j.neuroimage.2022.118989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/13/2022] [Accepted: 02/09/2022] [Indexed: 12/01/2022] Open
Abstract
Alterations in white matter (WM) development are associated with many neuropsychiatric and neurodevelopmental disorders. Most MRI studies examining WM development employ diffusion tensor imaging (DTI), which relies on estimating diffusion patterns of water molecules as a reflection of WM microstructure. Quantitative relaxometry, an alternative method for characterizing WM microstructural changes, is based on molecular interactions associated with the magnetic relaxation of protons. In a longitudinal study of 34 infant non-human primates (NHP) (Macaca mulatta) across the first year of life, we implement a novel, high-resolution, T1-weighted MPnRAGE sequence to examine WM trajectories of the longitudinal relaxation rate (qR1) in relation to DTI metrics and gestational age at scan. To the best of our knowledge, this is the first study to assess developmental WM trajectories in NHPs using quantitative relaxometry and the first to directly compare DTI and relaxometry metrics during infancy. We demonstrate that qR1 exhibits robust logarithmic growth, unfolding in a posterior-anterior and medial-lateral fashion, similar to DTI metrics. On a within-subject level, DTI metrics and qR1 are highly correlated, but are largely unrelated on a between-subject level. Unlike DTI metrics, gestational age at birth (time in utero) is a strong predictor of early postnatal qR1 levels. Whereas individual differences in DTI metrics are maintained across the first year of life, this is not the case for qR1. These results point to the similarities and differences in using quantitative relaxometry and DTI in developmental studies, providing a basis for future studies to characterize the unique processes that these measures reflect at the cellular and molecular level.
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Affiliation(s)
- Jason F Moody
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States.
| | - Nakul Aggarwal
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Douglas C Dean
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Department of Pediatrics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Do P M Tromp
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Steve R Kecskemeti
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Jonathan A Oler
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Andrew L Alexander
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
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7
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Gale-Grant O, Fenn-Moltu S, França LGS, Dimitrova R, Christiaens D, Cordero-Grande L, Chew A, Falconer S, Harper N, Price AN, Hutter J, Hughes E, O'Muircheartaigh J, Rutherford M, Counsell SJ, Rueckert D, Nosarti C, Hajnal JV, McAlonan G, Arichi T, Edwards AD, Batalle D. Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies. Hum Brain Mapp 2022; 43:1577-1589. [PMID: 34897872 PMCID: PMC8886657 DOI: 10.1002/hbm.25743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 11/19/2021] [Accepted: 11/30/2021] [Indexed: 11/12/2022] Open
Abstract
Infants born in early term (37-38 weeks gestation) experience slower neurodevelopment than those born at full term (40-41 weeks gestation). While this could be due to higher perinatal morbidity, gestational age at birth may also have a direct effect on the brain. Here we characterise brain volume and white matter correlates of gestational age at birth in healthy term-born neonates and their relationship to later neurodevelopmental outcome using T2 and diffusion weighted MRI acquired in the neonatal period from a cohort (n = 454) of healthy babies born at term age (>37 weeks gestation) and scanned between 1 and 41 days after birth. Images were analysed using tensor-based morphometry and tract-based spatial statistics. Neurodevelopment was assessed at age 18 months using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). Infants born earlier had higher relative ventricular volume and lower relative brain volume in the deep grey matter, cerebellum and brainstem. Earlier birth was also associated with lower fractional anisotropy, higher mean, axial, and radial diffusivity in major white matter tracts. Gestational age at birth was positively associated with all Bayley-III subscales at age 18 months. Regression models predicting outcome from gestational age at birth were significantly improved after adding neuroimaging features associated with gestational age at birth. This work adds to the body of evidence of the impact of early term birth and highlights the importance of considering the effect of gestational age at birth in future neuroimaging studies including term-born babies.
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Affiliation(s)
- Oliver Gale-Grant
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Sunniva Fenn-Moltu
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Lucas G S França
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Ralica Dimitrova
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Daan Christiaens
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, Spain
| | - Andrew Chew
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Shona Falconer
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Nicholas Harper
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Anthony N Price
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Emer Hughes
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Jonathan O'Muircheartaigh
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK.,Department of Medicine and Informatics, Technical University of Munich, Munich, Germany
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Grainne McAlonan
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,Paediatric Neurosciences, Evelina London Children's Hospital Guy's and St Thomas' NHS Foundation Trust, London, UK.,Department of Bioengineering, Imperial College London, London, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Dafnis Batalle
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
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8
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Na X, Phelan NE, Tadros MR, Wu Z, Andres A, Badger TM, Glasier CM, Ramakrishnaiah RR, Rowell AC, Wang L, Li G, Williams DK, Ou X. Maternal Obesity during Pregnancy is Associated with Lower Cortical Thickness in the Neonate Brain. AJNR Am J Neuroradiol 2021; 42:2238-2244. [PMID: 34620592 DOI: 10.3174/ajnr.a7316] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/09/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Recent studies have suggested that maternal obesity during pregnancy is associated with differences in neurodevelopmental outcomes in children. In this study, we aimed to investigate the relationships between maternal obesity during pregnancy and neonatal brain cortical development. MATERIALS AND METHODS Forty-four healthy women (28 normal-weight, 16 obese) were prospectively recruited at <10 weeks' gestation, and their healthy full-term neonates (23 boys, 21 girls) underwent brain MR imaging. All pregnant women had their body composition (fat mass percentage) measured at ∼12 weeks of pregnancy. All neonates were scanned at ∼2 weeks of age during natural sleep without sedation, and their 3D T1-weighted images were postprocessed by the new iBEAT2.0 software. Brain MR imaging segmentation and cortical surface reconstruction and parcellation were completed using age-appropriate templates. Mean cortical thickness for 34 regions in each brain hemisphere defined by the UNC Neonatal Cortical Surface Atlas was measured, compared between groups, and correlated with maternal body fat mass percentage, controlled for neonate sex and race, postmenstrual age at MR imaging, maternal age at pregnancy, and the maternal intelligence quotient and education. RESULTS Neonates born to obese mothers showed significantly lower (P ≤ .05, false discovery rate-corrected) cortical thickness in the left pars opercularis gyrus, left pars triangularis gyrus, and left rostral middle frontal gyrus. Mean cortical thickness in these frontal lobe regions negatively correlated (R = -0.34, P = .04; R = -0.50, P = .001; and R = -0.42, P = .01; respectively) with the maternal body fat mass percentage measured at early pregnancy. CONCLUSIONS Maternal obesity during pregnancy is associated with lower neonate brain cortical thickness in several frontal lobe regions important for language and executive functions.
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Affiliation(s)
- X Na
- From the Department of Radiology (X.N., C.M.G., R.R.R., A.C.R., X.O.).,Arkansas Children's Nutrition Center (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas.,Arkansas Children's Research Institute (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas
| | | | | | - Z Wu
- Department of Radiology (Z.W., L.W., G.L.), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - A Andres
- Departments of Pediatrics (A.A., T.M.B., C.M.G., R.R.R., X.O.).,Arkansas Children's Nutrition Center (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas.,Arkansas Children's Research Institute (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas
| | - T M Badger
- Departments of Pediatrics (A.A., T.M.B., C.M.G., R.R.R., X.O.).,Arkansas Children's Nutrition Center (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas.,Arkansas Children's Research Institute (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas
| | - C M Glasier
- From the Department of Radiology (X.N., C.M.G., R.R.R., A.C.R., X.O.).,Departments of Pediatrics (A.A., T.M.B., C.M.G., R.R.R., X.O.)
| | - R R Ramakrishnaiah
- From the Department of Radiology (X.N., C.M.G., R.R.R., A.C.R., X.O.).,Departments of Pediatrics (A.A., T.M.B., C.M.G., R.R.R., X.O.)
| | - A C Rowell
- From the Department of Radiology (X.N., C.M.G., R.R.R., A.C.R., X.O.)
| | - L Wang
- Department of Radiology (Z.W., L.W., G.L.), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - G Li
- Department of Radiology (Z.W., L.W., G.L.), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - D K Williams
- Biostatistics (D.K.W.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - X Ou
- From the Department of Radiology (X.N., C.M.G., R.R.R., A.C.R., X.O.) .,Departments of Pediatrics (A.A., T.M.B., C.M.G., R.R.R., X.O.).,Arkansas Children's Nutrition Center (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas.,Arkansas Children's Research Institute (X.N., A.A., T.M.B., X.O.), Little Rock, Arkansas
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9
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Graham RM, Jiang L, McCorkle G, Bellando BJ, Sorensen ST, Glasier CM, Ramakrishnaiah RH, Rowell AC, Coker JL, Ou X. Maternal Anxiety and Depression during Late Pregnancy and Newborn Brain White Matter Development. AJNR Am J Neuroradiol 2020; 41:1908-1915. [PMID: 32912873 DOI: 10.3174/ajnr.a6759] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 07/06/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Anxiety and depression during pregnancy have been associated with an increased risk of adverse neurodevelopmental outcomes in offspring. We aimed to study the in utero effects of maternal anxiety and depression on early brain development. MATERIALS AND METHODS Pregnant women were recruited at ∼36 weeks of gestation for this prospective study. They were assessed for anxiety symptoms by the State-Trait Anxiety Inventory and for depression symptoms by the Beck Depression Inventory, 2nd Edition. After delivery, infant underwent an MR imaging examination of the brain without sedation, including DTI, for evaluation of white matter (WM) development. Infant fractional anisotropy values, a putative marker of WM integrity, were correlated with the mothers' State-Trait Anxiety Inventory and Beck Depression Inventory scores by using both tract-based spatial statistics and ROI methods. RESULTS Thirty-four infants were included in this study. Both maternal State-Anxiety and Trait-Anxiety scores negatively correlated (P < .05, corrected) with fractional anisotropy values in widespread brain WM regions; Beck Depression Inventory scores also negatively correlated (P < .05) with fractional anisotropy values in one cluster in the brain. Further ROI analyses confirmed significant negative correlations between average fractional anisotropy values in ROIs including left and right prefrontal WM, left and right middle frontal gyrus WM, and the fornix, and State-Anxiety (R values, -0.47 to -0.67; P values, .008 to <.001), Trait-Anxiety (R, -0.37 to -0.59; P, .04 to <.001), and Beck Depression Inventory (R values, -0.36 to -0.55; P, .05 to .002) scores. CONCLUSIONS Higher maternal anxiety and depression symptom scores during late pregnancy were associated with lower estimated infant brain WM development, which indicated in utero influences of maternal mental health during pregnancy on the developing brain.
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Affiliation(s)
- R M Graham
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.)
| | - L Jiang
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.)
| | - G McCorkle
- Arkansas Children's Nutrition Center (G.M., X.O.), Little Rock, Arkansas
| | - B J Bellando
- Pediatrics (B.J.B., S.T.S., C.M.G., R.H.R., X.O.)
| | - S T Sorensen
- Pediatrics (B.J.B., S.T.S., C.M.G., R.H.R., X.O.)
| | - C M Glasier
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.).,Pediatrics (B.J.B., S.T.S., C.M.G., R.H.R., X.O.)
| | - R H Ramakrishnaiah
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.).,Pediatrics (B.J.B., S.T.S., C.M.G., R.H.R., X.O.)
| | - A C Rowell
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.)
| | - J L Coker
- Psychiatry, and Obstetrics and Gynecology (J.L.C.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - X Ou
- From the Departments of Radiology (R.M.G., L.J., C.M.G., R.H.R., A.C.R., X.O.) .,Pediatrics (B.J.B., S.T.S., C.M.G., R.H.R., X.O.).,Arkansas Children's Nutrition Center (G.M., X.O.), Little Rock, Arkansas.,Arkansas Children's Research Institute (X.O.), Little Rock, Arkansas
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10
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Wang X, Cuzon Carlson VC, Studholme C, Newman N, Ford MM, Grant KA, Kroenke CD. In utero MRI identifies consequences of early-gestation alcohol drinking on fetal brain development in rhesus macaques. Proc Natl Acad Sci U S A 2020; 117:10035-10044. [PMID: 32312804 PMCID: PMC7211988 DOI: 10.1073/pnas.1919048117] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
One factor that contributes to the high prevalence of fetal alcohol spectrum disorder (FASD) is binge-like consumption of alcohol before pregnancy awareness. It is known that treatments are more effective with early recognition of FASD. Recent advances in retrospective motion correction for the reconstruction of three-dimensional (3D) fetal brain MRI have led to significant improvements in the quality and resolution of anatomical and diffusion MRI of the fetal brain. Here, a rhesus macaque model of FASD, involving oral self-administration of 1.5 g/kg ethanol per day beginning prior to pregnancy and extending through the first 60 d of a 168-d gestational term, was utilized to determine whether fetal MRI could detect alcohol-induced abnormalities in brain development. This approach revealed differences between ethanol-exposed and control fetuses at gestation day 135 (G135), but not G110 or G85. At G135, ethanol-exposed fetuses had reduced brainstem and cerebellum volume and water diffusion anisotropy in several white matter tracts, compared to controls. Ex vivo electrophysiological recordings performed on fetal brain tissue obtained immediately following MRI demonstrated that the structural abnormalities observed at G135 are of functional significance. Specifically, spontaneous excitatory postsynaptic current amplitudes measured from individual neurons in the primary somatosensory cortex and putamen strongly correlated with diffusion anisotropy in the white matter tracts that connect these structures. These findings demonstrate that exposure to ethanol early in gestation perturbs development of brain regions associated with motor control in a manner that is detectable with fetal MRI.
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Affiliation(s)
- Xiaojie Wang
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97214
| | - Verginia C Cuzon Carlson
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
| | - Colin Studholme
- Biomedical Image Computing Group, Department of Pediatrics, University of Washington, Seattle, WA 98105
- Department of Bioengineering, University of Washington, Seattle, WA 98105
- Department of Radiology, University of Washington, Seattle, WA 98105
| | - Natali Newman
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
| | - Matthew M Ford
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
| | - Kathleen A Grant
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
| | - Christopher D Kroenke
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006;
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97214
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239
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11
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Feng K, Rowell AC, Andres A, Bellando BJ, Lou X, Glasier CM, Ramakrishnaiah RH, Badger TM, Ou X. Diffusion Tensor MRI of White Matter of Healthy Full-term Newborns: Relationship to Neurodevelopmental Outcomes. Radiology 2019; 292:179-187. [PMID: 31161971 PMCID: PMC6614910 DOI: 10.1148/radiol.2019182564] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 04/02/2019] [Accepted: 04/09/2019] [Indexed: 12/25/2022]
Abstract
Background It is well known that white matter injuries observed at birth are associated with adverse neurodevelopmental outcomes later in life. Whether white matter developmental variations in healthy newborns are also associated with changes in later neurodevelopment remains to be established. Purpose To evaluate whether developmental variations of white matter microstructures identified by MRI correlate with neurodevelopmental outcomes in healthy full-term infants. Materials and Methods In this prospective study, pregnant women were recruited and their healthy full-term newborns underwent a brain MRI including diffusion tensor imaging at approximately 2 weeks of age. These infants were tested at approximately 2 years of age with the Bayley Scales of Infant Development (BSID). Voxel-wise correlation analyses of fractional anisotropy (FA), measured with diffusion tensor MRI, and neurodevelopmental test scores, measured by using BSID, were performed by using tract-based spatial statistics (TBSS), followed by region-of-interest (ROI) analyses of correlations between mean FA in selected white matter ROIs and each BSID subscale score. Results Thirty-eight full-term infants (20 boys, 18 girls) underwent MRI examination at 2 weeks of age (14.3 days ± 1.6) and BSID measurement at 2 years of age (732 days ± 6). TBSS analyses showed widespread clusters in major white matter tracts, with positive correlations (P ≤ .05, corrected for the voxel-wise multiple comparisons) between FA values and multiple BSID subscale scores. These correlations were largely independent of several demographic parameters as well as family environment. Gestational age at birth appeared to be a confounding factor as TBSS-observed correlations weakened when it was included as a covariate; however, after controlling for gestational age at birth, ROI analyses still showed positive correlations (P ≤ .05, R = 0.35 to 0.48) between mean FA in many white matter ROIs and BSID cognitive, language, and motor scores. Conclusion There were significant associations between white matter microstructure developmental variations in healthy full-term newborns and their neurodevelopmental outcomes. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Hu and McAllister in this issue.
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Affiliation(s)
- Kaiyang Feng
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Amy C. Rowell
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Aline Andres
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Betty Jayne Bellando
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Xiangyang Lou
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Charles M. Glasier
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Raghu H. Ramakrishnaiah
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Thomas M. Badger
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
| | - Xiawei Ou
- From the Departments of Radiology (K.F., A.C.R., C.M.G., R.H.R.,
X.O.) and Pediatrics (A.A., B.J.B., X.L., C.M.G., T.M.B., X.O.), University of
Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's
Nutrition Center, 15 Children's Way, Little Rock, AR 72202 (A.A., X.L.,
T.M.B., X.O.); and Arkansas Children’s Research Institute, 1
Children’s Way, Slot 105, Little Rock, AR 72202 (X.O.)
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12
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Jin C, Li Y, Li X, Liu C, Wang M, Cheng Y, Zheng J, Yang J. Associations of gestational age and birth anthropometric indicators with brain white matter maturation in full-term neonates. Hum Brain Mapp 2019; 40:3620-3630. [PMID: 31056805 DOI: 10.1002/hbm.24620] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 04/08/2019] [Accepted: 04/25/2019] [Indexed: 01/09/2023] Open
Abstract
Newborn assessments, including gestational age (GA) and anthropometric measurements (birth weight, crown-heel length, head circumference) are routinely performed in pediatric settings, being used as important indicators in assessing neonatal development. Close associations of these birth indicators with later cognitive abilities were also reported. However, specific associations of these indicators with white matter (WM) development during the neonatal period remain unclear, as well as the extent to which they influence WM maturation. To address this issue, 51 full-term neonates (GA range, 37-42 weeks) with no abnormalities on MRI were retrospectively recruited. Specific correlations between birth indicators and WM maturation, quantified by diffusion tensor imaging (DTI)-metrics (fractional anisotropy, mean diffusivity, axial diffusivity, radial diffusivity), were identified by using DTI tract-based spatial statistics and automated fiber-tract quantification. Our findings suggest that (a) higher GA, birth weight, and crown-heel length may indicate greater WM maturation in full-term neonates, while head circumference presented weak correlation with WM maturation during early newborn period; (b) among the four indicators examined, GA was the one most associated with WM maturation. We believe that this study advances our knowledge of specific correlations between birth indicators and neonatal brain development and provides a valuable reference for future neonatal studies.
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Affiliation(s)
- Chao Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Yanyan Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Xianjun Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Congcong Liu
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Miaomiao Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Yannan Cheng
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Jie Zheng
- Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
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13
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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] [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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14
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Fan WQ, Gan A, Crane O. Commencing Nutrient Supplements before Full Enteral Feed Volume Achievement Is Beneficial for Moderately Preterm to Late Preterm Low Birth Weight Babies: A Prospective, Observational Study. Nutrients 2018; 10:nu10101340. [PMID: 30241325 PMCID: PMC6213071 DOI: 10.3390/nu10101340] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 09/10/2018] [Accepted: 09/18/2018] [Indexed: 11/30/2022] Open
Abstract
The aim of this study was to observe after following a routine change in the feeding protocol whether the earlier introduction of nutrient supplements improved nutritional outcomes in moderately preterm to late preterm low birth weight (LBW) babies. In this prospective observational study, LBW babies between 31 and 39 weeks’ gestation admitted to a Special Care Nursery were assigned to two groups (F80, n = 45, F160, n = 42) upon commencing nutrient supplement at total fluid intake achievement of 80 or 160 mL/kg/day. Outcomes included weight, protein intake, biochemical markers, feeding intolerance, and length of stay (LOS). F80 nutrient supplements commenced before F160 (2.8 vs. 6.7 days, p < 0.0001) and lasted longer (15.2 vs. 12.2 days, p < 0.03). Weight gain velocity and LOS were similar. F80 mean protein intake during the first 10 days was higher (3.38 vs. 2.74 g/kg/day, p < 0.0001). There were fewer infants with protein intake <3 g/kg/day in the F80 group (8% vs. 65%, p < 0001). F80 babies regained birthweight almost two days earlier (7.5 vs. 9.4 days, p < 0.01). Weight gain Z-scores revealed an attenuation of the trend towards lower weight percentiles in the F80 group. Feeding intolerance was decreased for F80 (24.4% vs. 47.6%, p < 0.03). There were no adverse outcomes. Earlier nutrient supplementation for LBW babies lifts mean protein intake to above 3 g/kg/day and reduces both the duration of post-birth weight loss and incidence of feeding intolerance.
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Affiliation(s)
- Wei Qi Fan
- Department of Paediatrics, The Northern Hospital, 185 Cooper Street, Epping, VIC 3076, Australia.
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Grattan Street, Melbourne, VIC 3010, Australia.
| | - Amy Gan
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Grattan Street, Melbourne, VIC 3010, Australia.
| | - Olivia Crane
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Grattan Street, Melbourne, VIC 3010, Australia.
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