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Alarcón A, de Vries LS, Parodi A, Arnáez J, Cabañas F, Steggerda SJ, Rebollo M, Ramenghi L, Dorronsoro I, López-Azorín M, Schneider J, Noguera-Julian A, Ríos-Barnés M, Recio M, Bickle-Graz M, Martínez-Biarge M, Fortuny C, García-Alix A, Truttmann AC. Neuroimaging in infants with congenital cytomegalovirus infection and its correlation with outcome: emphasis on white matter abnormalities. Arch Dis Child Fetal Neonatal Ed 2024; 109:151-158. [PMID: 37739774 PMCID: PMC10894834 DOI: 10.1136/archdischild-2023-325790] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/16/2023] [Indexed: 09/24/2023]
Abstract
OBJECTIVE To evaluate the association between neuroimaging and outcome in infants with congenital cytomegalovirus (cCMV), focusing on qualitative MRI and quantitative diffusion-weighted imaging of white matter abnormalities (WMAs). METHODS Multicentre retrospective cohort study of 160 infants with cCMV (103 symptomatic). A four-grade neuroimaging scoring system was applied to cranial ultrasonography and MRI acquired at ≤3 months. WMAs were categorised as multifocal or diffuse. Temporal-pole WMAs (TPWMAs) consisted of swollen or cystic appearance. Apparent diffusion coefficient (ADC) values were obtained from frontal, parieto-occipital and temporal white matter regions. Available follow-up MRI at ≥6 months (N=14) was additionally reviewed. Neurodevelopmental assessment included motor function, cognition, behaviour, hearing, vision and epilepsy. Adverse outcome was defined as death or moderate/severe disability. RESULTS Neuroimaging scoring was associated with outcome (p<0.001, area under the curve 0.89±0.03). Isolated WMAs (IWMAs) were present in 61 infants, and WMAs associated with other lesions in 30. Although TPWMAs and diffuse pattern often coexisted in infants with IWMAs (p<0.001), only TPWMAs were associated with adverse outcomes (OR 7.8; 95% CI 1.4 to 42.8), including severe hearing loss in 20% and hearing loss combined with other moderate/severe disabilities in 15%. Increased ADC values were associated with higher neuroimaging scores, WMAs based on visual assessment and IWMAs with TPWMAs. ADC values were not associated with outcome in infants with IWMAs. Findings suggestive of progression of WMAs on follow-up MRI included gliosis and malacia. CONCLUSIONS Categorisation of neuroimaging severity correlates with outcome in cCMV. In infants with IWMAs, TPWMAs provide a guide to prognosis.
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Affiliation(s)
- Ana Alarcón
- Department of Neonatology, Hospital Sant Joan de Déu and Neonatal Brain Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- Department of Surgery and Medical-Surgical Specialties, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Linda S de Vries
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, the Netherlands
- Department of Paediatrics, Division of Neonatology, Willem-Alexander Children's Hospital, Leiden University Medical Centre, Leiden, the Netherlands
| | - Alessandro Parodi
- Neonatal Intensive Care Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Juan Arnáez
- Neonatal Unit, Hospital Universitario de Burgos, Burgos, Spain
- Neonatal Neurology NeNe Foundation, Madrid, Spain
- Sociedad Iberoamericana de Neonatología (SIBEN), New Jersey, New Jersey, USA
| | - Fernando Cabañas
- Department of Neonatology, Hospital Universitario Quirónsalud Madrid, Universidad Europea de Madrid, Madrid, Spain
- Biomedical Research Foundation, Hospital Universitario La Paz, Madrid, Spain
| | - Sylke J Steggerda
- Department of Paediatrics, Division of Neonatology, Willem-Alexander Children's Hospital, Leiden University Medical Centre, Leiden, the Netherlands
| | - Mónica Rebollo
- Radiology Department, Paediatric Radiology Unit, Hôpitaux Universitaires de Genève, Geneva, Switzerland
- Diagnostic and Therapeutic Imaging Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Luca Ramenghi
- Neonatal Intensive Care Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Università di Genova, Genoa, Italy
| | - Izaskun Dorronsoro
- Department of Neonatology, Hospital Universitario Quirónsalud Madrid, Universidad Europea de Madrid, Madrid, Spain
| | - Manuela López-Azorín
- Department of Neonatology, Hospital Universitario Quirónsalud Madrid, Universidad Europea de Madrid, Madrid, Spain
| | - Juliane Schneider
- Clinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital Centre, Lausanne, Switzerland
| | - Antoni Noguera-Julian
- Department of Surgery and Medical-Surgical Specialties, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
- Infectious and Imported Diseases Department, Hospital Sant Joan de Déu and Infectious Diseases and Microbiome Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - María Ríos-Barnés
- Infectious and Imported Diseases Department, Hospital Sant Joan de Déu and Infectious Diseases and Microbiome Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Manuel Recio
- Department of Radiology, Hospital Universitario Quirónsalud Madrid, Universidad Europea de Madrid, Madrid, Spain
| | - Myriam Bickle-Graz
- Clinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital Centre, Lausanne, Switzerland
| | | | - Clàudia Fortuny
- Department of Surgery and Medical-Surgical Specialties, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
- Infectious and Imported Diseases Department, Hospital Sant Joan de Déu and Infectious Diseases and Microbiome Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Alfredo García-Alix
- Neonatal Neurology NeNe Foundation, Madrid, Spain
- Sociedad Iberoamericana de Neonatología (SIBEN), New Jersey, New Jersey, USA
| | - Anita C Truttmann
- Clinic of Neonatology, Department Women-Mother-Child, Lausanne University Hospital Centre, Lausanne, Switzerland
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2
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Calixto C, Machado-Rivas F, Cortes-Albornoz MC, Karimi D, Velasco-Annis C, Afacan O, Warfield SK, Gholipour A, Jaimes C. Characterizing microstructural development in the fetal brain using diffusion MRI from 23 to 36 weeks of gestation. Cereb Cortex 2024; 34:bhad409. [PMID: 37948665 PMCID: PMC10793585 DOI: 10.1093/cercor/bhad409] [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: 08/30/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023] Open
Abstract
We utilized motion-corrected diffusion tensor imaging (DTI) to evaluate microstructural changes in healthy fetal brains during the late second and third trimesters. Data were derived from fetal magnetic resonance imaging scans conducted as part of a prospective study spanning from 2013 March to 2019 May. The study included 44 fetuses between the gestational ages (GAs) of 23 and 36 weeks. We reconstructed fetal brain DTI using a motion-tracked slice-to-volume registration framework. Images were segmented into 14 regions of interest (ROIs) through label propagation using a fetal DTI atlas, with expert refinement. Statistical analysis involved assessing changes in fractional anisotropy (FA) and mean diffusivity (MD) throughout gestation using mixed-effects models, and identifying points of change in trajectory for ROIs with nonlinear trends. Results showed significant GA-related changes in FA and MD in all ROIs except in the thalamus' FA and corpus callosum's MD. Hemispheric asymmetries were found in the FA of the periventricular white matter (pvWM), intermediate zone, and subplate and in the MD of the ganglionic eminence and pvWM. This study provides valuable insight into the normal patterns of development of MD and FA in the fetal brain. These changes are closely linked with cytoarchitectonic changes and display indications of early functional specialization.
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Affiliation(s)
- Camilo Calixto
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Fedel Machado-Rivas
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Maria C Cortes-Albornoz
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
| | - Davood Karimi
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Clemente Velasco-Annis
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Onur Afacan
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Simon K Warfield
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Ali Gholipour
- Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Camilo Jaimes
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
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3
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Cawley P, Padormo F, Cromb D, Almalbis J, Marenzana M, Teixeira R, Uus A, O’Muircheartaigh J, Williams SC, Counsell SJ, Arichi T, Rutherford MA, Hajnal JV, Edwards AD. Development of neonatal-specific sequences for portable ultralow field magnetic resonance brain imaging: a prospective, single-centre, cohort study. EClinicalMedicine 2023; 65:102253. [PMID: 38106560 PMCID: PMC10725077 DOI: 10.1016/j.eclinm.2023.102253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 12/19/2023] Open
Abstract
Background Magnetic Resonance (MR) imaging is key for investigation of suspected newborn brain abnormalities. Access is limited in low-resource settings and challenging in infants needing intensive care. Portable ultralow field (ULF) MRI is showing promise in bedside adult brain imaging. Use in infants and children has been limited as brain-tissue composition differences necessitate sequence modification. The aim of this study was to develop neonatal-specific ULF structural sequences and test these across a range of gestational maturities and pathologies to inform future validation studies. Methods Prospective cohort study within a UK neonatal specialist referral centre. Infants undergoing 3T MRI were recruited for paired ULF (64mT) portable MRI by convenience sampling from the neonatal unit and post-natal ward. Key inclusion criteria: 1) Infants with risk or suspicion of brain abnormality, or 2) preterm and term infants without suspicion of major genetic, chromosomal or neurological abnormality. Exclusions: presence of contra-indication for MR scanning. ULF sequence parameters were optimised for neonatal brain-tissues by iterative and explorative design. Neuroanatomic and pathologic features were compared by unblinded review, informing optimisation of subsequent sequence generations in a step-wise manner. Main outcome: visual identification of healthy and abnormal brain tissues/structures. ULF MR spectroscopy, diffusion, susceptibility weighted imaging, arteriography, and venography require pre-clinical technical development and have not been tested. Findings Between September 23, 2021 and October 25, 2022, 102 paired scans were acquired in 87 infants; 1.17 paired scans per infant. Median age 9 days, median postmenstrual age 40+2 weeks (range: 31+3-53+4). Infants had a range of intensive care requirements. No adverse events observed. Optimised ULF sequences can visualise key neuroanatomy and brain abnormalities. In finalised neonatal sequences: T2w imaging distinguished grey and white matter (7/7 infants), ventricles (7/7), pituitary tissue (5/7), corpus callosum (7/7) and optic nerves (7/7). Signal congruence was seen within the posterior limb of the internal capsule in 10/11 infants on finalised T1w scans. In addition, brain abnormalities visualised on ULF optimised sequences have similar MR signal patterns to 3T imaging, including injury secondary to infarction (6/6 infants on T2w scans), hypoxia-ischaemia (abnormal signal in basal ganglia, thalami and white matter 2/2 infants on T2w scans, cortical highlighting 1/1 infant on T1w scan), and congenital malformations: polymicrogyria 3/3, absent corpus callosum 2/2, and vermian hypoplasia 3/3 infants on T2w scans. Sequences are susceptible to motion corruption, noise, and ULF artefact. Non-identified pathologies were small or subtle. Interpretation On unblinded review, optimised portable MR can provide sufficient contrast, signal, and resolution for neuroanatomical identification and detection of a range of clinically important abnormalities. Blinded validation studies are now warranted. Funding The Bill and Melinda Gates Foundation, the MRC, the Wellcome/EPSRC Centre for Medical Engineering, the MRC Centre for Neurodevelopmental Disorders, and the National Institute for Health Research (NIHR) Biomedical Research Centres based at Guy's and St Thomas' and South London & Maudsley NHS Foundation Trusts and King's College London.
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Affiliation(s)
- Paul Cawley
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Neonatal Intensive Care Unit, Evelina Children’s Hospital London, St Thomas’ Hospital, 6th Floor North Wing, Westminster Bridge Road, London SE1 7EH, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
| | - Francesco Padormo
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Medical Physics, Guy’s & St. Thomas' NHS Foundation Trust, London, UK
- Hyperfine, Inc., 351 New Whitfield St., Guilford, Connecticut 06437, USA
| | - Daniel Cromb
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Neonatal Intensive Care Unit, Evelina Children’s Hospital London, St Thomas’ Hospital, 6th Floor North Wing, Westminster Bridge Road, London SE1 7EH, UK
| | - Jennifer Almalbis
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Neonatal Intensive Care Unit, Evelina Children’s Hospital London, St Thomas’ Hospital, 6th Floor North Wing, Westminster Bridge Road, London SE1 7EH, UK
| | - Massimo Marenzana
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Rui Teixeira
- Hyperfine, Inc., 351 New Whitfield St., Guilford, Connecticut 06437, USA
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Jonathan O’Muircheartaigh
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Steven C.R. Williams
- Centre for Neuroimaging Sciences, King’s College London, De Crespigny Park, London SE5 8AF, UK
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
- Paediatric Neurosciences, Evelina London Children’s Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UK
| | - Mary A. Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
| | - Joseph V. Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - A. David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
- Neonatal Intensive Care Unit, Evelina Children’s Hospital London, St Thomas’ Hospital, 6th Floor North Wing, Westminster Bridge Road, London SE1 7EH, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London SE1 1UL, UK
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4
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Serrano ME, Kim E, Siow B, Ma D, Rojo L, Simmons C, Hayward D, Gibbins D, Singh N, Strydom A, Fisher EM, Tybulewicz VL, Cash D. Investigating brain alterations in the Dp1Tyb mouse model of Down syndrome. Neurobiol Dis 2023; 188:106336. [PMID: 38317803 PMCID: PMC7615598 DOI: 10.1016/j.nbd.2023.106336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024] Open
Abstract
Down syndrome (DS) is one of the most common birth defects and the most prevalent genetic form of intellectual disability. DS arises from trisomy of chromosome 21, but its molecular and pathological consequences are not fully understood. In this study, we compared Dp1Tyb mice, a DS model, against their wild-type (WT) littermates of both sexes to investigate the impact of DS-related genetic abnormalities on the brain phenotype. We performed in vivo whole brain magnetic resonance imaging (MRI) and hippocampal 1H magnetic resonance spectroscopy (MRS) on the animals at 3 months of age. Subsequently, ex vivo MRI scans and histological analyses were conducted post-mortem. Our findings unveiled the following neuroanatomical and biochemical alterations in the Dp1Tyb brains: a smaller surface area and a rounder shape compared to WT brains, with DS males also presenting smaller global brain volume compared with the counterpart WT. Regional volumetric analysis revealed significant changes in 26 out of 72 examined brain regions, including the medial prefrontal cortex and dorsal hippocampus. These alterations were consistently observed in both in vivo and ex vivo imaging data. Additionally, high-resolution ex vivo imaging enabled us to investigate cerebellar layers and hippocampal sub-regions, revealing selective areas of decrease and remodelling in these structures. An analysis of hippocampal metabolites revealed an elevation in glutamine and the glutamine/glutamate ratio in the Dp1Tyb mice compared to controls, suggesting a possible imbalance in the excitation/inhibition ratio. This was accompanied by the decreased levels of taurine. Histological analysis revealed fewer neurons in the hippocampal CA3 and DG layers, along with an increase in astrocytes and microglia. These findings recapitulate multiple neuroanatomical and biochemical features associated with DS, enriching our understanding of the potential connection between chromosome 21 trisomy and the resultant phenotype.
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Affiliation(s)
- Maria Elisa Serrano
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Eugene Kim
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Bernard Siow
- The Francis Crick Institute, London, United Kingdom
| | - Da Ma
- Department of Internal Medicine Section of Gerontology and Geriatric Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Loreto Rojo
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Camilla Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | | | | | - Nisha Singh
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Elizabeth M.C. Fisher
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | | | - Diana Cash
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
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5
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Grotheer M, Bloom D, Kruper J, Richie-Halford A, Zika S, Aguilera González VA, Yeatman JD, Grill-Spector K, Rokem A. Human white matter myelinates faster in utero than ex utero. Proc Natl Acad Sci U S A 2023; 120:e2303491120. [PMID: 37549280 PMCID: PMC10438384 DOI: 10.1073/pnas.2303491120] [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: 03/02/2023] [Accepted: 06/27/2023] [Indexed: 08/09/2023] Open
Abstract
The formation of myelin, the fatty sheath that insulates nerve fibers, is critical for healthy brain function. A fundamental open question is what impact being born has on myelin growth. To address this, we evaluated a large (n = 300) cross-sectional sample of newborns from the Developing Human Connectome Project (dHCP). First, we developed software for the automated identification of 20 white matter bundles in individual newborns that is well suited for large samples. Next, we fit linear models that quantify how T1w/T2w (a myelin-sensitive imaging contrast) changes over time at each point along the bundles. We found faster growth of T1w/T2w along the lengths of all bundles before birth than right after birth. Further, in a separate longitudinal sample of preterm infants (N = 34), we found lower T1w/T2w than in full-term peers measured at the same age. By applying the linear models fit on the cross-section sample to the longitudinal sample of preterm infants, we find that their delay in T1w/T2w growth is well explained by the amount of time they spent developing in utero and ex utero. These results suggest that white matter myelinates faster in utero than ex utero. The reduced rate of myelin growth after birth, in turn, explains lower myelin content in individuals born preterm and could account for long-term cognitive, neurological, and developmental consequences of preterm birth. We hypothesize that closely matching the environment of infants born preterm to what they would have experienced in the womb may reduce delays in myelin growth and hence improve developmental outcomes.
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Affiliation(s)
- Mareike Grotheer
- Department of Psychology, Philipps-Universität Marburg, Marburg35039, Germany
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Marburg35039, Germany
| | - David Bloom
- Department of Psychology, University of Washington, Seattle, WA98105
- eScience Institute, University of Washington, Seattle, WA98105
| | - John Kruper
- Department of Psychology, University of Washington, Seattle, WA98105
- eScience Institute, University of Washington, Seattle, WA98105
| | - Adam Richie-Halford
- Department of Psychology, University of Washington, Seattle, WA98105
- eScience Institute, University of Washington, Seattle, WA98105
| | - Stephanie Zika
- Department of Psychology, Philipps-Universität Marburg, Marburg35039, Germany
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Marburg35039, Germany
| | - Vicente A. Aguilera González
- Department of Psychology, Philipps-Universität Marburg, Marburg35039, Germany
- Center for Mind, Brain and Behavior, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Marburg35039, Germany
| | - Jason D. Yeatman
- Department of Psychology, Stanford University, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA94305
- Graduate School of Education, Stanford University, Stanford, CA94305
- Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA94305
| | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA94305
| | - Ariel Rokem
- Department of Psychology, University of Washington, Seattle, WA98105
- eScience Institute, University of Washington, Seattle, WA98105
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6
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Padormo F, Cawley P, Dillon L, Hughes E, Almalbis J, Robinson J, Maggioni A, Botella MDLF, Cromb D, Price A, Arlinghaus L, Pitts J, Luo T, Zhang D, Deoni SCL, Williams S, Malik S, O′Muircheartaigh J, Counsell SJ, Rutherford M, Arichi T, Edwards AD, Hajnal JV. In vivo T 1 mapping of neonatal brain tissue at 64 mT. Magn Reson Med 2023; 89:1016-1025. [PMID: 36372971 PMCID: PMC10099617 DOI: 10.1002/mrm.29509] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 09/14/2022] [Accepted: 10/11/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Ultralow-field (ULF) point-of-care MRI systems allow image acquisition without interrupting medical provision, with neonatal clinical care being an important potential application. The ability to measure neonatal brain tissue T1 is a key enabling technology for subsequent structural image contrast optimization, as well as being a potential biomarker for brain development. Here we describe an optimized strategy for neonatal T1 mapping at ULF. METHODS Examinations were performed on a 64-mT portable MRI system. A phantom validation experiment was performed, and a total of 33 in vivo exams were acquired from 28 neonates with postmenstrual age ranging from 31+4 to 49+0 weeks. Multiple inversion-recovery turbo spin-echo sequences were acquired with differing inversion and repetition times. An analysis pipeline incorporating inter-sequence motion correction generated proton density and T1 maps. Regions of interest were placed in the cerebral deep gray matter, frontal white matter, and cerebellum. Weighted linear regression was used to predict T1 as a function of postmenstrual age. RESULTS Reduction of T1 with postmenstrual age is observed in all measured brain tissue; the change in T1 per week and 95% confidence intervals is given by dT1 = -21 ms/week [-25, -16] (cerebellum), dT1 = -14 ms/week [-18, -10] (deep gray matter), and dT1 = -35 ms/week [-45, -25] (white matter). CONCLUSION Neonatal T1 values at ULF are shorter than those previously described at standard clinical field strengths, but longer than those of adults at ULF. T1 reduces with postmenstrual age and is therefore a candidate biomarker for perinatal brain development.
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Affiliation(s)
- Francesco Padormo
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical PhysicsGuy′s & St. Thomas' NHS Foundation TrustLondonUnited Kingdom
- Hyperfine, Inc.GuilfordConnecticutUSA
| | - Paul Cawley
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Louise Dillon
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
| | - Emer Hughes
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
| | - Jennifer Almalbis
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Joanna Robinson
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Alessandra Maggioni
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Miguel De La Fuente Botella
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Dan Cromb
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Anthony Price
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical PhysicsGuy′s & St. Thomas' NHS Foundation TrustLondonUnited Kingdom
| | | | | | | | | | - Sean C. L. Deoni
- Advanced Baby Imaging Lab, Rhode Island HospitalWarren, Alpert Medical School at Brown UniversityProvidenceRhode IslandUSA
- Department of Diagnostic RadiologyWarren Alpert Medical School at Brown UniversityProvidenceRhode IslandUSA
- Department of PediatricsWarren Alpert Medical School at Brown UniversityProvidenceRhode IslandUSA
| | - Steve Williams
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
- Center for Neuroimaging SciencesKing′s College LondonLondonUnited Kingdom
| | - Shaihan Malik
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
| | - Jonathan O′Muircheartaigh
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and NeuroscienceKing′s College LondonLondonUnited Kingdom
| | - Serena J. Counsell
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
| | - Mary Rutherford
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
| | - Tomoki Arichi
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
- Department of BioengineeringImperial College LondonLondonUnited Kingdom
- Pediatric Neurosciences, Evelina London Children′s HospitalGuys′ and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - A. David Edwards
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
- Medical Research Council Center for Neurodevelopmental DisordersKing′s College LondonLondonUnited Kingdom
- Department of NeonatologyGuy′s and St. Thomas′ NHS Foundation TrustLondonUnited Kingdom
| | - Joseph V. Hajnal
- Center for the Developing Brain, School of Imaging Sciences and Biomedical EngineeringKing′s College London
LondonUnited Kingdom
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7
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Brain Development and Maternal Behavior in Relation to Cognitive and Language Outcomes in Preterm-Born Children. Biol Psychiatry 2022; 92:663-673. [PMID: 35599181 DOI: 10.1016/j.biopsych.2022.03.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 03/08/2022] [Accepted: 03/16/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Children born very preterm (≤32 weeks gestational age) show poorer cognitive and language development compared with their term-born peers. The importance of supportive maternal responses to the child's cues for promoting neurodevelopment is well established. However, little is known about whether supportive maternal behavior can buffer the association of early brain dysmaturation with cognitive and language performance. METHODS Infants born very preterm (N = 226) were recruited from the neonatal intensive care unit for a prospective, observational cohort study. Chart review (e.g., size at birth, postnatal infection) was conducted from birth to discharge. Magnetic resonance imaging, including diffusion tensor imaging, was acquired at approximately 32 weeks postmenstrual age and again at term-equivalent age. Fractional anisotropy, a quantitative measure of brain maturation, was obtained from 11 bilateral regions of interest in the cortical gray matter. At 3 years (n = 187), neurodevelopmental testing (Bayley Scales of Infant and Toddler Development-III) was administered, and parent-child interaction was filmed. Maternal behavior was scored using the Emotional Availability Scale-IV. A total of 146 infants with neonatal brain imaging and follow-up data were included for analysis. Generalized estimating equations were used to examine whether maternal support interacted with mean fractional anisotropy values to predict Cognitive and Language scores at 3 years, accounting for confounding neonatal and maternal factors. RESULTS Higher maternal support significantly moderated cortical fractional anisotropy values at term-equivalent age to predict higher Cognitive (interaction term β = 2.01, p = .05) and Language (interaction term β = 1.85, p = .04) scores. CONCLUSIONS Findings suggest that supportive maternal behavior following early brain dysmaturation may provide an opportunity to promote optimal neurodevelopment in children born very preterm.
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8
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McNaughton R, Pieper C, Sakai O, Rollins JV, Zhang X, Kennedy DN, Frazier JA, Douglass L, Heeren T, Fry RC, O'Shea TM, Kuban KK, Jara H. Quantitative MRI Characterization of the Extremely Preterm Brain at Adolescence: Atypical versus Neurotypical Developmental Pathways. Radiology 2022; 304:419-428. [PMID: 35471112 PMCID: PMC9340244 DOI: 10.1148/radiol.210385] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 01/27/2022] [Accepted: 02/17/2022] [Indexed: 12/16/2022]
Abstract
Background Extremely preterm (EP) birth is associated with higher risks of perinatal white matter (WM) injury, potentially causing abnormal neurologic and neurocognitive outcomes. MRI biomarkers distinguishing individuals with and without neurologic disorder guide research on EP birth antecedents, clinical correlates, and prognoses. Purpose To compare multiparametric quantitative MRI (qMRI) parameters of EP-born adolescents with autism spectrum disorder, cerebral palsy, epilepsy, or cognitive impairment (ie, atypically developing) with those without (ie, neurotypically developing), characterizing sex-stratified brain development. Materials and Methods This prospective multicenter study included individuals aged 14-16 years born EP (Extremely Low Gestational Age Newborns-Environmental Influences on Child Health Outcomes Study, or ELGAN-ECHO). Participants underwent 3.0-T MRI evaluation from 2017 to 2019. qMRI outcomes were compared for atypically versus neurotypically developing adolescents and for girls versus boys. Sex-stratified multiple regression models were used to examine associations between spatial entropy density (SEd) and T1, T2, and cerebrospinal fluid (CSF)-normalized proton density (nPD), and between CSF volume and T2. Interaction terms modeled differences in slopes between atypically versus neurotypically developing adolescents. Results A total of 368 adolescents were classified as 116 atypically (66 boys) and 252 neurotypically developing (125 boys) participants. Atypically versus neurotypically developing girls had lower nPD (mean, 557 10 × percent unit [pu] ± 46 [SD] vs 573 10 × pu ± 43; P = .04), while atypically versus neurotypically developing boys had longer T1 (814 msec ± 57 vs 789 msec ± 82; P = .01). Atypically developing girls versus boys had lower nPD and shorter T2 (eg, in WM, 557 10 × pu ± 46 vs 580 10 × pu ± 39 for nPD [P = .006] and 86 msec ± 3 vs 88 msec ± 4 for T2 [P = .003]). Atypically versus neurotypically developing boys had a more moderate negative association between T1 and SEd (slope, -32.0 msec per kB/cm3 [95% CI: -49.8, -14.2] vs -62.3 msec per kB/cm3 [95% CI: -79.7, -45.0]; P = .03). Conclusion Atypically developing participants showed sexual dimorphisms in the cerebrospinal fluid-normalized proton density (nPD) and T2 of both white matter (WM) and gray matter. Atypically versus neurotypically developing girls had lower WM nPD, while atypically versus neurotypically developing boys had longer WM T1 and more moderate T1 associations with microstructural organization in WM. © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Ryan McNaughton
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Chris Pieper
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Osamu Sakai
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Julie V. Rollins
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Xin Zhang
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - David N. Kennedy
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Jean A. Frazier
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Laurie Douglass
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Timothy Heeren
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Rebecca C. Fry
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - T. Michael O'Shea
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Karl K. Kuban
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
| | - Hernán Jara
- From the Departments of Mechanical Engineering (R.M., X.Z.) and
Biomedical Engineering (H.J.), Boston University College of Engineering, Boston,
Mass; Department of Radiology, Boston University School of Medicine, 670 Albany
St, Boston, MA 02118 (C.P., O.S., H.J.); Department of Pediatrics, University of
North Carolina School of Medicine, Chapel Hill, NC (J.V.R., T.M.O.); Department
of Psychiatry, University of Massachusetts Medical School, Worcester, Mass
(D.N.K., J.A.F.); Department of Pediatrics, Boston University School of
Medicine, Boston, Mass (L.D.); Department of Biostatistics, Boston University
School of Public Health, Boston, Mass (T.H.); and Department of Environmental
Sciences & Engineering, University of North Carolina Gillings School of
Global Public Health, Chapel Hill, NC (R.C.F.)
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9
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Yuan S, Liu M, Kim S, Yang J, Barkovich AJ, Xu D, Kim H. Cyto/myeloarchitecture of cortical gray matter and superficial white matter in early neurodevelopment: multimodal MRI study in preterm neonates. Cereb Cortex 2022; 33:357-373. [PMID: 35235643 PMCID: PMC9837610 DOI: 10.1093/cercor/bhac071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 01/19/2023] Open
Abstract
The cerebral cortex undergoes rapid microstructural changes throughout the third trimester. Recently, there has been growing interest on imaging features that represent cyto/myeloarchitecture underlying intracortical myelination, cortical gray matter (GM), and its adjacent superficial whitematter (sWM). Using 92 magnetic resonance imaging scans from 78 preterm neonates, the current study used combined T1-weighted/T2-weighted (T1w/T2w) intensity ratio and diffusion tensor imaging (DTI) measurements, including fractional anisotropy (FA) and mean diffusivity (MD), to characterize the developing cyto/myeloarchitectural architecture. DTI metrics showed a linear trajectory: FA decreased in GM but increased in sWM with time; and MD decreased in both GM and sWM. Conversely, T1w/T2w measurements showed a distinctive parabolic trajectory, revealing additional cyto/myeloarchitectural signature inferred. Furthermore, the spatiotemporal courses were regionally heterogeneous: central, ventral, and temporal regions of GM and sWM exhibited faster T1w/T2w changes; anterior sWM areas exhibited faster FA increases; and central and cingulate areas in GM and sWM exhibited faster MD decreases. These results may explain cyto/myeloarchitectural processes, including dendritic arborization, synaptogenesis, glial proliferation, and radial glial cell organization and apoptosis. Finally, T1w/T2w values were significantly associated with 1-year language and cognitive outcome scores, while MD significantly decreased with intraventricular hemorrhage.
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Affiliation(s)
| | | | | | - Jingda Yang
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Anthony James Barkovich
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Duan Xu
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Hosung Kim
- Corresponding author: 2025 Zonal Ave, Los Angeles, CA 90033, USA.
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10
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White matter myelination during early infancy is linked to spatial gradients and myelin content at birth. Nat Commun 2022; 13:997. [PMID: 35194018 PMCID: PMC8863985 DOI: 10.1038/s41467-022-28326-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 01/12/2022] [Indexed: 12/25/2022] Open
Abstract
Development of myelin, a fatty sheath that insulates nerve fibers, is critical for brain function. Myelination during infancy has been studied with histology, but postmortem data cannot evaluate the longitudinal trajectory of white matter development. Here, we obtained longitudinal diffusion MRI and quantitative MRI measures of longitudinal relaxation rate (R1) of white matter in 0, 3 and 6 months-old human infants, and developed an automated method to identify white matter bundles and quantify their properties in each infant's brain. We find that R1 increases from newborns to 6-months-olds in all bundles. R1 development is nonuniform: there is faster development in white matter that is less mature in newborns, and development rate increases along inferior-to-superior as well as anterior-to-posterior spatial gradients. As R1 is linearly related to myelin fraction in white matter bundles, these findings open new avenues to elucidate typical and atypical white matter myelination in early infancy.
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11
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Tomiyasu M, Shibasaki J, Kawaguchi H, Enokizono M, Toyoshima K, Obata T, Aida N. Altered brain metabolite concentration and delayed neurodevelopment in preterm neonates. Pediatr Res 2022; 91:197-203. [PMID: 33674742 PMCID: PMC8770132 DOI: 10.1038/s41390-021-01398-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/03/2021] [Accepted: 01/25/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND A very-low-birth-weight (VLBW) preterm infants is associated with an increased risk of impaired neurodevelopmental outcomes. In this study, we investigated how neonatal brain metabolite concentrations changed with postmenstrual age and examined the relationship between changes in concentration (slopes) and neurodevelopmental level at 3-4 years. METHODS We retrospectively examined 108 VLBW preterm infants who had brain single-voxel magnetic resonance spectroscopy at 34-42 weeks' postmenstrual age. Neurodevelopment was assessed using a developmental test, and subjects were classified into four groups: developmental quotient <70, 70-84, 85-100, and >100. One-way analyses of covariance and multiple-comparison post hoc tests were used to compare slopes. RESULTS We observed correlations between postmenstrual age and the concentrations of N-acetylaspartate and N-acetylaspartylglutamate (tNAA) (p < 0.001); creatine and phosphocreatine (p < 0.001); glutamate and glutamine (p < 0.001); and myo-inositol (p = 0.049) in the deep gray matter; and tNAA (p < 0.001) in the centrum semiovale. A significant interaction was noted among the tNAA slopes of the four groups in the deep gray matter (p = 0.022), and we found a significant difference between the <70 and 85-100 groups (post hoc, p = 0.024). CONCLUSIONS In VLBW preterm infants, the slopes of tNAA concentrations (adjusted for postmenstrual age) were associated with lower developmental quotients at 3-4 years. IMPACT In very-low-birth-weight preterm-born infants, a slower increase in tNAA brain concentration at term-equivalent age was associated with poorer developmental outcomes at 3-4 years. The increase in tNAA concentration in very-low-birth-weight infants was slower in poorer developmental outcomes, and changes in tNAA concentration appeared to be more critical than changes in tCho for predicting developmental delays. While tNAA/tCho ratios were previously used to examine the correlation with neurodevelopment at 1-2 years, we used brain metabolite concentrations.
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Affiliation(s)
- Moyoko Tomiyasu
- Department of Molecular Imaging and Theranostics, National Institute for Quantum and Radiological Science and Technology, Chiba, Japan. .,Department of Radiology, Kanagawa Children's Medical Center, Yokohama, Japan.
| | - Jun Shibasaki
- grid.414947.b0000 0004 0377 7528Department of Neonatology, Kanagawa Children’s Medical Center, Yokohama, Japan
| | - Hiroshi Kawaguchi
- grid.208504.b0000 0001 2230 7538Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
| | - Mikako Enokizono
- grid.417084.e0000 0004 1764 9914Department of Radiology, Tokyo Metropolitan Children’s Medical Center, Tokyo, Japan
| | - Katsuaki Toyoshima
- grid.414947.b0000 0004 0377 7528Department of Neonatology, Kanagawa Children’s Medical Center, Yokohama, Japan
| | - Takayuki Obata
- Department of Molecular Imaging and Theranostics, National Institute for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Noriko Aida
- Department of Molecular Imaging and Theranostics, National Institute for Quantum and Radiological Science and Technology, Chiba, Japan ,grid.414947.b0000 0004 0377 7528Department of Radiology, Kanagawa Children’s Medical Center, Yokohama, Japan
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12
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Gao F, Shen X, Zhang H, Ba R, Ma X, Lai C, Zhang J, Zhang Y, Wu D. Feasibility of oscillating and pulsed gradient diffusion MRI to assess neonatal hypoxia-ischemia on clinical systems. J Cereb Blood Flow Metab 2021; 41:1240-1250. [PMID: 32811261 PMCID: PMC8142137 DOI: 10.1177/0271678x20944353] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Diffusion-time- (td) dependent diffusion MRI (dMRI) extends our ability to characterize brain microstructure by measuring dMRI signals at varying td. The use of oscillating gradient (OG) is essential for accessing short td but is technically challenging on clinical MRI systems. This study aims to investigate the clinical feasibility and value of td-dependent dMRI in neonatal hypoxic-ischemic encephalopathy (HIE). Eighteen HIE neonates and six normal term-born neonates were scanned on a 3 T scanner, with OG-dMRI at an oscillating frequency of 33 Hz (equivalent td ≈ 7.5 ms) and pulsed gradient (PG)-dMRI at a td of 82.8 ms and b-value of 700 s/mm2. The td-dependence, as quantified by the difference in apparent diffusivity coefficients between OG- and PG-dMRI (ΔADC), was observed in the normal neonatal brains, and the ΔADC was higher in the subcortical white matter than the deep grey matter. In HIE neonates with severe and moderate injury, ΔADC significantly increased in the basal ganglia (BG) compared to the controls (23.7% and 10.6%, respectively). In contrast, the conventional PG-ADC showed a 12.6% reduction only in the severe HIE group. White matter edema regions also demonstrated increased ΔADC, where PG-ADC did not show apparent changes. Our result demonstrated that td-dependent dMRI provided high sensitivity in detecting moderate-to-severe HIE.
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Affiliation(s)
- Fusheng Gao
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiaoxia Shen
- Department of Neonatal Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Hongxi Zhang
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ruicheng Ba
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Xiaolu Ma
- Department of Neonatal Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Can Lai
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jiangyang Zhang
- Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Yi Zhang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
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13
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Dubois J, Alison M, Counsell SJ, Hertz‐Pannier L, Hüppi PS, Benders MJ. MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances. J Magn Reson Imaging 2021; 53:1318-1343. [PMID: 32420684 PMCID: PMC8247362 DOI: 10.1002/jmri.27192] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/24/2020] [Accepted: 04/24/2020] [Indexed: 01/04/2023] Open
Abstract
In recent years, exploration of the developing brain has become a major focus for researchers and clinicians in an attempt to understand what allows children to acquire amazing and unique abilities, as well as the impact of early disruptions (eg, prematurity, neonatal insults) that can lead to a wide range of neurodevelopmental disorders. Noninvasive neuroimaging methods such as MRI are essential to establish links between the brain and behavioral changes in newborns and infants. In this review article, we aim to highlight recent and representative studies using the various techniques available: anatomical MRI, quantitative MRI (relaxometry, diffusion MRI), multiparametric approaches, and functional MRI. Today, protocols use 1.5 or 3T MRI scanners, and specialized methodologies have been put in place for data acquisition and processing to address the methodological challenges specific to this population, such as sensitivity to motion. MR sequences must be adapted to the brains of newborns and infants to obtain relevant good soft-tissue contrast, given the small size of the cerebral structures and the incomplete maturation of tissues. The use of age-specific image postprocessing tools is also essential, as signal and contrast differ from the adult brain. Appropriate methodologies then make it possible to explore multiple neurodevelopmental mechanisms in a precise way, and assess changes with age or differences between groups of subjects, particularly through large-scale projects. Although MRI measurements only indirectly reflect the complex series of dynamic processes observed throughout development at the molecular and cellular levels, this technique can provide information on brain morphology, structural connectivity, microstructural properties of gray and white matter, and on the functional architecture. Finally, MRI measures related to clinical, behavioral, and electrophysiological markers have a key role to play from a diagnostic and prognostic perspective in the implementation of early interventions to avoid long-term disabilities in children. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Jessica Dubois
- University of ParisNeuroDiderot, INSERM,ParisFrance
- UNIACT, NeuroSpin, CEA; Paris‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Marianne Alison
- University of ParisNeuroDiderot, INSERM,ParisFrance
- Department of Pediatric RadiologyAPHP, Robert‐Debré HospitalParisFrance
| | - Serena J. Counsell
- Centre for the Developing BrainSchool of Biomedical Engineering & Imaging Sciences, King's College LondonLondonUK
| | - Lucie Hertz‐Pannier
- University of ParisNeuroDiderot, INSERM,ParisFrance
- UNIACT, NeuroSpin, CEA; Paris‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Petra S. Hüppi
- Division of Development and Growth, Department of Woman, Child and AdolescentUniversity Hospitals of GenevaGenevaSwitzerland
| | - Manon J.N.L. Benders
- Department of NeonatologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtthe Netherlands
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14
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Wendel K, Pfeiffer HCV, Fugelseth DM, Nestaas E, Domellöf M, Skålhegg BS, Elgstøen KBP, Rootwelt H, Pettersen RD, Pripp AH, Stiris T, Moltu SJ. Effects of nutrition therapy on growth, inflammation and metabolism in immature infants: a study protocol of a double-blind randomized controlled trial (ImNuT). BMC Pediatr 2021; 21:19. [PMID: 33407269 PMCID: PMC7789285 DOI: 10.1186/s12887-020-02425-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/10/2020] [Indexed: 12/19/2022] Open
Abstract
Background Current nutritional management of infants born very preterm results in significant deficiency of the essential fatty acids (FAs) arachidonic acid (ARA) and docosahexaenoic acid (DHA). The impact of this deficit on brain maturation and inflammation mediated neonatal morbidities are unknown. The aim of this study is to determine whether early supply of ARA and DHA improves brain maturation and neonatal outcomes in infants born before 29 weeks of gestation. Methods Infants born at Oslo University Hospital are eligible to participate in this double-blind randomized controlled trial. Study participants are randomized to receive an enteral FA supplement of either 0.4 ml/kg MCT-oil™ (medium chain triglycerides) or 0.4 ml/kg Formulaid™ (100 mg/kg of ARA and 50 mg/kg of DHA). The FA supplement is given from the second day of life to 36 weeks’ postmenstrual age (PMA). The primary outcome is brain maturation assessed by Magnetic Resonance Imaging (MRI) at term equivalent age. Secondary outcomes include quality of growth, incidence of neonatal morbidities, cardiovascular health and neuro-development. Target sample size is 120 infants (60 per group), this will provide 80% power to detect a 0.04 difference in mean diffusivity (MD, mm2/sec) in major white matter tracts on MRI. Discussion Supplementation of ARA and DHA has the potential to improve brain maturation and reduce inflammation related diseases. This study is expected to provide valuable information for future nutritional guidelines for preterm infants. Trial registration Clinicaltrials.gov ID: NCT03555019. Registered 4 October 2018- Retrospectively registered.
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Affiliation(s)
- Kristina Wendel
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway.
| | - Helle Cecilie Viekilde Pfeiffer
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway.,Department of Pediatric Neurology, Oslo University Hospital, Oslo, Norway
| | - Drude Merete Fugelseth
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eirik Nestaas
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway.,Department of Pediatrics, Vestfold Hospital Trust, Tønsberg, Norway
| | - Magnus Domellöf
- Department of Clinical Sciences, Pediatrics, Umea University, Umea, Sweden
| | - Bjorn Steen Skålhegg
- Division of Molecular Nutrition, Department of Nutrition, University of Oslo, Oslo, Norway
| | | | - Helge Rootwelt
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Rolf Dagfinn Pettersen
- Norwegian National Unit for Newborn Screening, Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Are Hugo Pripp
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Tom Stiris
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sissel J Moltu
- Department of Neonatal Intensive Care, Oslo University Hospital, Oslo, Norway
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15
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Kühne F, Neumann WJ, Hofmann P, Marques J, Kaindl AM, Tietze A. Assessment of myelination in infants and young children by T1 relaxation time measurements using the magnetization-prepared 2 rapid acquisition gradient echoes sequence. Pediatr Radiol 2021; 51:2058-2068. [PMID: 34287663 PMCID: PMC8476383 DOI: 10.1007/s00247-021-05109-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 03/18/2021] [Accepted: 05/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Axonal myelination is an important maturation process in the developing brain. Increasing myelin content correlates with the longitudinal relaxation rate (R1=1/T1) in magnetic resonance imaging (MRI). OBJECTIVE By using magnetization-prepared 2 rapid acquisition gradient echoes (MP2RAGE) on a 3-T MRI system, we provide R1 values and myelination rates for infants and young children. MATERIALS AND METHODS Average R1 values in white and grey matter regions in 94 children without pathological MRI findings (age range: 3 months to 6 years) were measured and fitted by a saturating-exponential growth model. For comparison, R1 values of 36 children with different brain pathologies are presented. The findings were related to a qualitative evaluation using T2, magnetization-prepared rapid acquisition gradient echo (MP-RAGE) and MP2RAGE. RESULTS R1 changes rapidly in the first 16 months of life, then much slower thereafter. R1 is highest in pre-myelinated structures in the youngest subjects, such as the posterior limb of the internal capsule (0.74-0.76±0.04 s-1) and lowest for the corpus callosum (0.37-0.44±0.03 s-1). The myelination rate is fastest in the corpus callosum and slowest in the deep grey matter. R1 is decreased in hypo- and dysmyelination disorders. Myelin maturation is clearly visible on MP2RAGE, especially in the first year of life. CONCLUSION MP2RAGE permits a quantitative R1 mapping method with an examination time of approximately 6 min. The age-dependent R1 values for children without MRI-identified brain pathologies are well described by a saturating-exponential function with time constants depending on the investigated brain region. This model can serve as a reference for this age group and to search for indications of subtle pathologies. Moreover, the MP2RAGE sequence can also be used for the qualitative assessment of myelinated structures.
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Affiliation(s)
- Fabienne Kühne
- Department of Pediatric Neurology, Charité – University Medicine Berlin, Berlin, Germany
| | - Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité – University Medicine Berlin, Berlin, Germany ,Institute of Neuroradiology, Charité - University Medicine Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Philip Hofmann
- Department of Physics and Astronomy, Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark
| | - José Marques
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Angela M. Kaindl
- Department of Pediatric Neurology, Charité – University Medicine Berlin, Berlin, Germany
| | - Anna Tietze
- Institute of Neuroradiology, Charité - University Medicine Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
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16
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Vanderhasselt T, Zolfaghari R, Naeyaert M, Dudink J, Buls N, Allemeersch GJ, Raeymaekers H, Cools F, de Mey J. Synthetic MRI demonstrates prolonged regional relaxation times in the brain of preterm born neonates with severe postnatal morbidity. NEUROIMAGE-CLINICAL 2020; 29:102544. [PMID: 33385883 PMCID: PMC7786121 DOI: 10.1016/j.nicl.2020.102544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/13/2020] [Accepted: 12/20/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND To identify preterm infants at risk for neurodevelopment impairment that might benefit from early neurorehabilitation, early prognostic biomarkers of future outcomes are needed. OBJECTIVE To determine whether synthetic MRI is sensitive to age-related changes in regional tissue relaxation times in the brain of preterm born neonates when scanned at term equivalent age (TEA, 37-42 weeks), and to investigate whether severe postnatal morbidity results in prolonged regional tissue relaxation times. MATERIALS AND METHODS This retrospective study included 70 very preterm born infants scanned with conventional and synthetic MRI between January 2017 and June 2019 at TEA. Infants with severe postnatal morbidity were allocated to a high-risk group (n = 22). All other neonates were allocated to a low-risk group (n = 48). Linear regression analysis was performed to determine the relationship between relaxation times and postmenstrual age (PMA) at scan. Analysis of covariance was used to evaluate the impact of severe postnatal morbidity in the high-risk group on T1 and T2 relaxation times. Receiver operating characteristic (ROC) curves were plotted and analysed with area under the ROC curve (AUC) to evaluate the accuracy of classifying high-risk patients based on regional relaxation times. RESULTS A linear age-related decrease of T1 and T2 relaxation times correlating with PMA at scan (between 37 and 42 weeks) was found in the deep gray matter, the cerebellum, the cortex, and the posterior limb of the internal capsule (PLIC) (p < .005 each), but not in the global, frontal, parietal, or central white matter. Analysis of covariance for both risk groups, adjusted for PMA, revealed significantly prolonged regional tissue relaxation times in neonates with severe postnatal morbidity, which was best illustrated in the central white matter of the centrum semiovale (T1 Δ = 11.5%, T2 Δ = 13.4%, p < .001) and in the PLIC (T1 Δ = 9.2%, T2 Δ = 6.9%, p < .001). The relaxation times in the PLIC and the central white matter predicted high-risk status with excellent accuracy (AUC range 0.82-0.86). CONCLUSION Synthetic MRI-based relaxometry in the brain of preterm born neonates is sensitive to age-related maturational changes close to TEA. Severe postnatal morbidity correlated with a significant delay in tissue relaxation. Synthetic MRI may provide early prognostic biomarkers for neurodevelopment impairment.
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Affiliation(s)
- Tim Vanderhasselt
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium.
| | - Roya Zolfaghari
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Maarten Naeyaert
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands; Brain Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nico Buls
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Gert-Jan Allemeersch
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Hubert Raeymaekers
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Filip Cools
- Department of Neonatology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Johan de Mey
- Department of Radiology, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium
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17
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Mechanical Ventilation Duration, Brainstem Development, and Neurodevelopment in Children Born Preterm: A Prospective Cohort Study. J Pediatr 2020; 226:87-95.e3. [PMID: 32454115 DOI: 10.1016/j.jpeds.2020.05.039] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/22/2020] [Accepted: 05/18/2020] [Indexed: 02/08/2023]
Abstract
OBJECTIVES To determine, in children born preterm, the association of mechanical ventilation duration with brainstem development, white matter maturation, and neurodevelopmental outcomes at preschool age. STUDY DESIGN This prospective cohort study included 144 neonates born at <30 weeks of gestation (75 male, mean gestational age 27.1 weeks, SD 1.6) with regional brainstem volumes automatically segmented on magnetic resonance imaging at term-equivalent age (TEA). The white matter maturation was assessed by diffusion tensor imaging and tract-based spatial statistics. Neurodevelopmental outcomes were assessed at 4.5 years of age using the Movement Assessment Battery for Children, 2nd Edition, and the Wechsler Primary and Preschool Scale of Intelligence, 4th Edition, full-scale IQ. The association between the duration of mechanical ventilation and brainstem development was validated in an independent cohort of children born very preterm. RESULTS Each additional day of mechanical ventilation predicted lower motor scores (0.5-point decrease in the Movement Assessment Battery for Children, 2nd Edition, score by day of mechanical ventilation, 95% CI -0.6 to -0.3, P < .0001). Prolonged exposure to mechanical ventilation was associated with smaller pons and medulla volumes at TEA in 2 independent cohorts, along with widespread abnormalities in white matter maturation. Pons and medulla volumes at TEA predicted motor outcomes at 4.5 years of age. CONCLUSIONS In neonates born very preterm, prolonged mechanical ventilation is associated with impaired brainstem development, abnormal white matter maturation, and lower motor scores at preschool age. Further research is needed to better understand the neural pathological mechanisms involved.
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18
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[An assessment of white matter development in preterm infants with bronchopulmonary dysplasia using diffusion tensor imaging]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2020; 22. [PMID: 33059804 PMCID: PMC7568998 DOI: 10.7499/j.issn.1008-8830.2004236] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To assess white matter development in preterm infants with bronchopulmonary dysplasia (BPD) using fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values of diffusion tensor imaging (DTI). METHODS Ninety-six infants with a gestational age of ≤32 weeks and a birth weight of <1 500 g who were admitted to the neonatal intensive care unit within 24 hours after birth from August 2016 to April 2019 and underwent head MRI and DTI before discharge were enrolled. According to the discharge diagnosis, they were divided into BPD group with 48 infants and non-BPD group with 48 infants. The two groups were compared in terms of FA and ADC values of the same regions of interest on DTI image. RESULTS There were no significant differences in the incidence rates of periventricular/intraventricular hemorrhage, periventricular leukomalacia, and punctate white matter lesions between the two groups (P>0.05). Compared with the non-BPD group, the BPD group had significantly lower FA values and significantly higher ADC values of the posterior limb of the internal capsule, the splenium of the corpus callosum, the occipital white matter, the cerebellum, and the cerebral peduncle (P<0.05). Compared with the non-BPD group, the BPD group had a significantly higher frequency of apnea, a significantly higher proportion of infants with pneumonia or mechanical ventilation, and a significantly longer duration of assisted ventilation (P<0.05). CONCLUSIONS BPD may has potential adverse effects to white matter development in preterm infants, leading to delayed white matter development. Therefore, it is necessary to pay attention to the neurological function of these infants.
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19
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Early application of caffeine improves white matter development in very preterm infants. Respir Physiol Neurobiol 2020; 281:103495. [DOI: 10.1016/j.resp.2020.103495] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/22/2020] [Accepted: 07/12/2020] [Indexed: 12/31/2022]
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20
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McDowell AR, Shelmerdine SC, Lorio S, Norman W, Jones R, Carmichael DW, Arthurs OJ. Multiparametric mapping in post-mortem perinatal MRI: a feasibility study. Br J Radiol 2020; 93:20190952. [PMID: 32330074 DOI: 10.1259/bjr.20190952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES To demonstrate feasibility of a 3 T multiparametric mapping (MPM) quantitative pipeline for perinatal post-mortem MR (PMMR) imaging. METHODS Whole body quantitative PMMR imaging was acquired in four cases, mean gestational age 34 weeks, range (29-38 weeks) on a 3 T Siemens Prisma scanner. A multicontrast protocol yielded proton density, T1 and magnetic transfer (MT) weighted multi-echo images obtained from variable flip angle (FA) 3D fast low angle single-shot (FLASH) acquisitions, radiofrequency transmit field map and one B0 field map alongside four MT weighted acquisitions with saturation pulses of 180, 220, 260 and 300 degrees were acquired, all at 1 mm isotropic resolution. RESULTS Whole body MPM was achievable in all four foetuses, with R1, R2*, PD and MT maps reconstructed from a single protocol. Multiparametric maps were of high quality and show good tissue contrast, especially the MT maps. CONCLUSION MPM is a feasible technique in a perinatal post-mortem setting, which may allow quantification of post-mortem change, prior to being evaluated in a clinical setting. ADVANCES IN KNOWLEDGE We have shown that the MPM sequence is feasible in PMMR imaging and shown the potential of MT imaging in this setting.
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Affiliation(s)
- Amy R McDowell
- UCL Great Ormond Street Institute of Child Health, London, UK
| | | | - Sara Lorio
- UCL Great Ormond Street Institute of Child Health, London, UK.,Wellcome EPSRC Centre for Medical EngineeringKCL, London, UK
| | - Wendy Norman
- UCL Great Ormond Street Institute of Child Health, London, UK.,NIHR UCL GOS Institute of Child Health Biomedical Research Centre, London, UK
| | - Rod Jones
- UCL Great Ormond Street Institute of Child Health, London, UK.,NIHR UCL GOS Institute of Child Health Biomedical Research Centre, London, UK
| | - David W Carmichael
- UCL Great Ormond Street Institute of Child Health, London, UK.,Wellcome EPSRC Centre for Medical EngineeringKCL, London, UK
| | - Owen J Arthurs
- RadiologyGreat Ormond Street Hospital NHS Foundation Trust, London, UK.,NIHR UCL GOS Institute of Child Health Biomedical Research Centre, London, UK
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21
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Brunner P, Schneider J, Borradori-Tolsa C, Bickle-Graz M, Hagmann P, Macherel M, Huppi PS, Truttmann AC. Transient tone anomalies in very preterm infants: Association with term-equivalent brain magnetic resonance imaging and neurodevelopment at 18 months. Early Hum Dev 2020; 143:104998. [PMID: 32145503 DOI: 10.1016/j.earlhumdev.2020.104998] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 02/21/2020] [Accepted: 02/22/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Very preterm (VPT) infants are at risk for neurodevelopmental impairments and early clinical findings such as transient tone anomalies (TTA) might represent potential predictive indicators. AIMS The aims of this study were to assess 1) the prevalence of TTA at 6 months corrected age in a population of VPT infants, 2) the association with term-equivalent age (TEA) brain MRI and 3) the neurodevelopmental outcome at 18 months corrected age. STUDY DESIGN AND SUBJECTS A prospective case-control cohort of 103 VPT infants (<29 weeks of gestation) was followed up at 6 months and classified into TTA+ or TTA-. TTA+ was defined by the presence of ≥2 criteria among anomalies of posture, anomalies of tone and hyperreflexia. OUTCOME MEASURES Conventional and diffusion-weighted MRIs at TEA were analyzed according to a semi-quantitative MRI scoring system and apparent diffusion coefficients (ADC) and fractional anisotropy (FA) were measured in frontal, occipital white matter and posterior limb of the internal capsule (PLIC). Neurodevelopment was assessed at 18 months using Bayley-II scales (Psychomotor Developmental Index: PDI; Mental Developmental Index: MDI). RESULTS TTA+ infants represented 29.1% of the total population. They had: 1) significantly higher ADC values in 3 regions of interest (p < 0.001), 2) significant lower FA in the PLIC (p < 0.001), and 3) significant lower PDI score (p < 0.05). No differences were observed regarding MDI scores. Interaction of TTA by cerebellum score was related to lower MDI scores. CONCLUSIONS In VPT infants, TTA at 6 months and/or structural brain abnormality at TEA are associated with poorer neurodevelopmental outcome at 18 months.
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Affiliation(s)
- Pauline Brunner
- Clinic of Neonatology, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland
| | - Juliane Schneider
- Clinic of Neonatology, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland; Follow Up Unit, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland
| | - Cristina Borradori-Tolsa
- Division of Development and Growth, Department of the Woman, Child and Adolescent, University Hospital Geneva, Switzerland
| | - Myriam Bickle-Graz
- Follow Up Unit, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland
| | - Patric Hagmann
- Department of Radiology, University Center Hospital and University of Lausanne, Vaud, Switzerland
| | - Manon Macherel
- Clinic of Neonatology, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland
| | - Petra S Huppi
- Division of Development and Growth, Department of the Woman, Child and Adolescent, University Hospital Geneva, Switzerland
| | - Anita C Truttmann
- Clinic of Neonatology, Department of Women Mother Child, University Center Hospital and University of Lausanne, Vaud, Switzerland.
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Truttmann AC, Ginet V, Puyal J. Current Evidence on Cell Death in Preterm Brain Injury in Human and Preclinical Models. Front Cell Dev Biol 2020; 8:27. [PMID: 32133356 PMCID: PMC7039819 DOI: 10.3389/fcell.2020.00027] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 01/14/2020] [Indexed: 12/19/2022] Open
Abstract
Despite tremendous advances in neonatal intensive care over the past 20 years, prematurity carries a high burden of neurological morbidity lasting lifelong. The term encephalopathy of prematurity (EoP) coined by Volpe in 2009 encompasses all aspects of the now known effects of prematurity on the immature brain, including altered and disturbed development as well as specific lesional hallmarks. Understanding the way cells are damaged is crucial to design brain protective strategies, and in this purpose, preclinical models largely contribute to improve the comprehension of the cell death mechanisms. While neuronal cell death has been deeply investigated and characterized in (hypoxic–ischemic) encephalopathy of the newborn at term, little is known about the types of cell death occurring in preterm brain injury. Three main different morphological cell death types are observed in the immature brain, specifically in models of hypoxic–ischemic encephalopathy, namely, necrotic, apoptotic, and autophagic cell death. Features of all three types may be present in the same dying neuron. In preterm brain injury, description of cell death types is sparse, and cell loss primarily concerns immature oligodendrocytes and, infrequently, neurons. In the present review, we first shortly discuss the different main severe preterm brain injury conditions that have been reported to involve cell death, including periventricular leucomalacia (PVL), diffuse white matter injury (dWMI), and intraventricular hemorrhages, as well as potentially harmful iatrogenic conditions linked to premature birth (anesthesia and caffeine therapy). Then, we present an overview of current evidence concerning cell death in both clinical human tissue data and preclinical models by focusing on studies investigating the presence of cell death allowing discriminating between the types of cell death involved. We conclude that, to improve brain protective strategies, not only apoptosis but also other cell death (such as regulated necrotic and autophagic) pathways now need to be investigated together in order to consider all cell death mechanisms involved in the pathogenesis of preterm brain damage.
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Affiliation(s)
- Anita C Truttmann
- Clinic of Neonatology, Department of Women, Mother and Child, University Hospital Center of Vaud, Lausanne, Switzerland
| | - Vanessa Ginet
- Clinic of Neonatology, Department of Women, Mother and Child, University Hospital Center of Vaud, Lausanne, Switzerland.,Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Julien Puyal
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,CURML, University Center of Legal Medicine, Lausanne University Hospital, Lausanne, Switzerland
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Socioeconomic status and brain injury in children born preterm: modifying neurodevelopmental outcome. Pediatr Res 2020; 87:391-398. [PMID: 31666689 DOI: 10.1038/s41390-019-0646-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/30/2019] [Accepted: 10/01/2019] [Indexed: 12/14/2022]
Abstract
Improved intensive care therapies have increased the survival of children born preterm. Yet, many preterm children experience long-term neurodevelopmental sequelae. Indeed, preterm birth remains a leading cause of lifelong neurodevelopmental disability globally, posing significant challenges to the child, family, and society. Neurodevelopmental disability in children born preterm is traditionally linked to acquired brain injuries such as white matter injury and to impaired brain maturation resulting from neonatal illness such as chronic lung disease. Socioeconomic status (SES) has long been recognized to contribute to variation in outcome in children born preterm. Recent brain imaging data in normative term-born cohorts suggest that lower SES itself predicts alterations in brain development, including the growth of the cerebral cortex and subcortical structures. Recent evidence in children born preterm suggests that the response to early-life brain injuries is modified by the socioeconomic circumstances of children and families. Exciting new data points to the potential of more favorable SES circumstances to mitigate the impact of neonatal brain injury. This review addresses emerging evidence suggesting that SES modifies the relationship between early-life exposures, brain injury, and neurodevelopmental outcomes in children born preterm. Better understanding these relationships opens new avenues for research with the ultimate goal of promoting optimal outcomes for those children born preterm at highest risk of neurodevelopmental consequence.
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Age-specific optimization of T1-weighted brain MRI throughout infancy. Neuroimage 2019; 199:387-395. [PMID: 31154050 DOI: 10.1016/j.neuroimage.2019.05.075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 05/10/2019] [Accepted: 05/28/2019] [Indexed: 12/16/2022] Open
Abstract
The infant brain undergoes drastic morphological and functional development during the first year of life. Three-dimensional T1-weighted Magnetic Resonance Imaging (3D T1w-MRI) is a major tool to characterize the brain anatomy, which however, manifests inherently low and rapidly changing contrast between white matter (WM) and gray matter (GM) in the infant brains (0-12 month-old). Despite the prior efforts made to maximize tissue contrast in the neonatal brains (≤1 months), optimization of imaging methods in the rest of the infancy (1-12 months) is not fully addressed, while brains in the latter period exhibit even more challenging contrast. Here, we performed a systematic investigation to improve the contrast between cortical GM and subcortical WM throughout the infancy. We first performed simultaneous T1 and proton density mapping in a normally developing infant cohort at 3T (n = 57). Based on the evolution of T1 relaxation times, we defined three age groups and simulated the relative tissue contrast between WM and GM in each group. Age-specific imaging strategies were proposed according to the Bloch simulation: inversion time (TI) around 800 ms for the 0-3 month-old group, dual TI at 500 ms and 700 ms for the 3-7 month-old group, and TI around 700 ms for 7-12 month-old group, using a centrically encoded 3D-MPRAGE sequence at 3T. Experimental results with varying TIs in each group confirmed improved contrast at the proposed optimal TIs, even in 3-7 month-old infants who had nearly isointense contrast. We further demonstrated the advantage of improved relative contrast in segmenting the neonatal brains using a multi-atlas segmentation method. The proposed age-specific optimization strategies can be easily adapted to routine clinical examinations, and the improved image contrast would facilitate quantitative analysis of the infant brain development.
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Age-Related Changes in Tissue Value Properties in Children: Simultaneous Quantification of Relaxation Times and Proton Density Using Synthetic Magnetic Resonance Imaging. Invest Radiol 2019; 53:236-245. [PMID: 29504952 DOI: 10.1097/rli.0000000000000435] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The properties of brain tissue undergo dynamic changes during maturation. T1 relaxation time (T1), T2 relaxation time (T2), and proton density (PD) are now simultaneously quantifiable within a clinically acceptable time, using a synthetic magnetic resonance imaging (MRI) sequence. This study aimed to provide age-specific reference values for T1, T2, and PD in children, using synthetic MRI. MATERIALS AND METHODS We included 89 children (median age, 18 months; range, 34 weeks of gestational age to 17 years) who underwent quantitative MRI, using a multidynamic, multiecho sequence on 3 T MRI, between December 2015 and November 2016, and had no abnormal MRI/neurologic assessment findings. T1, T2, and PD were simultaneously measured in each of the 22 defined white matter and gray matter regions of interest. The measured values were plotted against age, and a curve fitting model that best explained the age dependence of tissue values was identified. Age-specific regional tissue values were calculated using a fit equation. RESULTS The tissue values of all brain regions, except cortical PD, decreased with increasing age, and the robust negative association was best explained by modified biexponential model of the form Tissue values = T1 × exp (-C1 × age) + T2 × exp (-C2 × age). The quality of fit to the modified biexponential model was high in white matter and deep gray matter (white matter, R = 97%-99% [T1], 88%-95% [T2], 88%-97% [PD]; deep gray matter, R = 96%-97% [T1], 96% [T2], 49%-88% [PD]; cortex, 70%-83% [T1], 87%-90% [T2], 5%-27% [PD]). The white matter and deep gray matter changed the most dynamically within the first year of life. CONCLUSIONS Our study provides age-specific regional reference values, from the neonate to adolescent, of T1, T2, and PD, which could be objective tools for assessment of normal/abnormal brain development using synthetic MRI.
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Abstract
Despite the advances in neonatal intensive care, the preterm brain remains vulnerable to white matter injury (WMI) and disruption of normal brain development (i.e., dysmaturation). Compared to severe cystic WMI encountered in the past decades, contemporary cohorts of preterm neonates experience milder WMIs. More than destructive lesions, disruption of the normal developmental trajectory of cellular elements of the white and the gray matter occurs. In the acute phase, in response to hypoxia-ischemia and/or infection and inflammation, multifocal areas of necrosis within the periventricular white matter involve all cellular elements. Later, chronic WMI is characterized by diffuse WMI with aberrant regeneration of oligodendrocytes, which fail to mature to myelinating oligodendrocytes, leading to myelination disturbances. Complete neuronal degeneration classically accompanies necrotic white matter lesions, while altered neurogenesis, represented by a reduction of the dendritic arbor and synapse formation, is observed in response to diffuse WMI. Neuroimaging studies now provide more insight in assessing both injury and dysmaturation of both gray and white matter. Preterm brain injury remains an important cause of neurodevelopmental disabilities, which are still observed in up to 50% of the preterm survivors and take the form of a complex combination of motor, cognitive, and behavioral concerns.
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Affiliation(s)
- Juliane Schneider
- Department of Woman-Mother-Child, Clinic of Neonatology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Steven P Miller
- Division of Neurology and Centre for Brain and Mental Health, Hospital for Sick Children, Toronto, ON, Canada.
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Fabre C, Tosello B, Pipon E, Gire C, Chaumoitre K. Hyperechogenicity of lenticulostriate vessels: A poor prognosis or a normal variant? A seven year retrospective study. Pediatr Neonatol 2018; 59:553-560. [PMID: 29373236 DOI: 10.1016/j.pedneo.2018.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 11/13/2017] [Accepted: 01/02/2018] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Lenticulostriate vasculopathy (LSV) is a hyperechogenicity of the lenticulostriate branches of the basal ganglia and/or thalamus' middle cerebral arteries and is frequently seen in neonatology. Our study primarily describes the perinatal data and long-term follow-up of newborns with lenticulostriate vessel hyperechoic degeneration. Secondly, it describes the cerebral imaging data as a function of perinatal factors and neurodevelopmental follow-up of these newborns. METHODS This retrospective study assesses the outcome of newborns with LSV hyperechogenicity on cerebral ultrasound (two grades). These children were born between January 2008 and September 2015 and were treated in a large level III neonatal intensive care unit. Thirty-four term-equivalent age children underwent MRIs using a standardized protocol of T2, T1 3D, diffusion and spectro-MRI sequences. The MRIs retrospectively measured the white matter and basal ganglia apparent diffusion coefficients (ADC). RESULTS Fifty-eight neonates, ranging from 25 to 42 weeks gestational age (GA), were diagnosed with LSV. There was a significantly increased high-grade LSV when accompanied by fetal heart rate abnormalities (p = 0.03) and the neonate's need for respiratory support at birth (P = 0.002). The mean ADC score was substantially superior in the high-grade versus the low-grade LSVs (p = 0.023). There were no noteworthy outcome differences between a high and low grade LSV. The mean ADC for basal ganglions was appreciably higher in children with a severe prognoses (death or developmental disorder) as compared to children with no abnormalities (p < 0.01). CONCLUSION From the results of our study, it appears that a low-grade LSV could be considered as a normal variant. There are no unifying diagnostic criteria for LSV on cerebral ultrasound. With a cerebral MRI, the use of ADC values of basal ganglia may well underscore the importance of such data in predicting long-term outcomes.
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Affiliation(s)
- Candice Fabre
- Department of Neonatology, Assistance Publique-Hôpitaux de Marseille, Hôpital Nord, 13015, Marseille, France
| | - Barthélémy Tosello
- Department of Neonatology, Assistance Publique-Hôpitaux de Marseille, Hôpital Nord, 13015, Marseille, France; Aix Marseille University, UMR 7268 ADÉS/EFS/CNRS, Marseille, France.
| | - Estelle Pipon
- Department of Medical Imaging, APHM, Hôpital Nord, 13015, Marseille, France
| | - Catherine Gire
- Department of Neonatology, Assistance Publique-Hôpitaux de Marseille, Hôpital Nord, 13015, Marseille, France
| | - Kathia Chaumoitre
- Aix Marseille University, UMR 7268 ADÉS/EFS/CNRS, Marseille, France; Department of Medical Imaging, APHM, Hôpital Nord, 13015, Marseille, France
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He L, Wang J, Lu ZL, Kline-Fath BM, Parikh NA. Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI. Pediatr Radiol 2018; 48:1139-1151. [PMID: 29721599 PMCID: PMC6148771 DOI: 10.1007/s00247-018-4140-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 03/01/2018] [Accepted: 04/16/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Sequence optimization in neonates might improve detection sensitivity of abnormalities for a variety of conditions. However this has been historically challenging because tissue properties such as the longitudinal relaxation time and proton density differ significantly between neonates and adults. OBJECTIVE To optimize the magnetization-prepared rapid gradient echo (MP-RAGE) sequence to enhance both signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) efficiencies. MATERIALS AND METHODS We optimized neonatal MP-RAGE sequence through (1) reducing receive bandwidth to decrease noise, (2) shortening acquisition train length (acquisition number per repetition time or total number of read-out radiofrequency rephrasing pulses) using slice partial Fourier acquisition and (3) simulating the solution of Bloch's equation under optimal receive bandwidth and acquisition train length. Using the optimized sequence parameters, we scanned 12 healthy full-term infants within 2 weeks of birth and four preterm infants at 40 weeks' corrected age. RESULTS Compared with a previously published neonatal protocol, we were able to reduce the total scan time by reduce the total scan time by 60% and increase the average SNR efficiency by 160% (P<0.001) and the average CNR efficiency by 26% (P=0.029). CONCLUSION Our in vivo neonatal brain imaging experiments confirmed that both SNR and CNR efficiencies significantly increased with our proposed protocol. Our proposed optimization methodology could be readily extended to other populations (e.g., older children, adults), as well as different organ systems, field strengths and MR sequences.
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Affiliation(s)
- Lili He
- Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 7009, Cincinnati, OH, 45229, USA.
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
| | - Jinghua Wang
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Zhong-Lin Lu
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, USA
| | - Beth M Kline-Fath
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Nehal A Parikh
- Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 7009, Cincinnati, OH, 45229, USA
- Pediatric Neuroimaging Research Consortium, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
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Eminian S, Hajdu SD, Meuli RA, Maeder P, Hagmann P. Rapid high resolution T1 mapping as a marker of brain development: Normative ranges in key regions of interest. PLoS One 2018; 13:e0198250. [PMID: 29902203 PMCID: PMC6002025 DOI: 10.1371/journal.pone.0198250] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 05/16/2018] [Indexed: 12/27/2022] Open
Abstract
Objectives We studied in a clinical setting the age dependent T1 relaxation time as a marker of normal late brain maturation and compared it to conventional techniques, namely the apparent diffusion coefficient (ADC). Materials and methods Forty-two healthy subjects ranging from ages 1 year to 20 years were included in our study. T1 brain maps in which the intensity of each pixel corresponded to T1 relaxation times were generated based on MR imaging data acquired using a MP2RAGE sequence. During the same session, diffusion tensor imaging data was collected. T1 relaxation times and ADC in white matter and grey matter were measured in seven clinically relevant regions of interest and were correlated to subjects’ age. Results In the basal ganglia, there was a small, yet significant, decrease in T1 relaxation time (-0.45 ≤R≤-0.59, p<10−2) and ADC (-0.60≤R≤-0.65, p<10−4) as a function of age. In the frontal and parietal white matter, there was a significant decrease in T1 relaxation time (-0.62≤R≤-0.68, p<10−4) and ADC (-0.81≤R≤-0.85, p<10−4) as a function of age. T1 relaxation time changes in the corpus callosum and internal capsule were less relevant for this age range. There was no significant difference between the correlation of T1 relaxation time and ADC with respect to age (p-value = 0.39). The correlation between T1 relaxation and ADC is strong in the white matter but only moderate in basal ganglia over this age period. Conclusions T1 relaxation time is a marker of brain maturation or myelination during late brain development. Between the age of 1 and 20 years, T1 relaxation time decreases as a function of age in the white matter and basal ganglia. The greatest changes occur in frontal and parietal white matter. These regions are known to mature in the final stage of development and are mainly composed of association circuits. Age-correlation is not significantly different between T1 relaxation time and ADC. Therefore, T1 relaxation time does not appear to be a superior marker of brain maturation than ADC but may be considered as complementary owing the intrinsic differences in bio-physical sensitivity. This work may serve as normative ranges in clinical imaging routines.
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Affiliation(s)
- Sylvain Eminian
- Department of Diagnostic and Interventional Radiology, University of Lausanne and Lausanne University Hospital (UNIL-CHUV), Lausanne, Vaud, Switzerland
- * E-mail:
| | - Steven David Hajdu
- Department of Diagnostic and Interventional Radiology, University of Lausanne and Lausanne University Hospital (UNIL-CHUV), Lausanne, Vaud, Switzerland
| | - Reto Antoine Meuli
- Department of Diagnostic and Interventional Radiology, University of Lausanne and Lausanne University Hospital (UNIL-CHUV), Lausanne, Vaud, Switzerland
| | - Philippe Maeder
- Department of Diagnostic and Interventional Radiology, University of Lausanne and Lausanne University Hospital (UNIL-CHUV), Lausanne, Vaud, Switzerland
| | - Patric Hagmann
- Department of Diagnostic and Interventional Radiology, University of Lausanne and Lausanne University Hospital (UNIL-CHUV), Lausanne, Vaud, Switzerland
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Ouyang M, Dubois J, Yu Q, Mukherjee P, Huang H. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. Neuroimage 2018; 185:836-850. [PMID: 29655938 DOI: 10.1016/j.neuroimage.2018.04.017] [Citation(s) in RCA: 133] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 04/01/2018] [Accepted: 04/08/2018] [Indexed: 02/08/2023] Open
Abstract
Dynamic macrostructural and microstructural changes take place from the mid-fetal stage to 2 years after birth. Delineating structural changes of the brain during early development provides new insights into the complicated processes of both typical development and the pathological mechanisms underlying various psychiatric and neurological disorders including autism, attention deficit hyperactivity disorder and schizophrenia. Decades of histological studies have identified strong spatial and functional maturation gradients in human brain gray and white matter. The recent improvements in magnetic resonance imaging (MRI) techniques, especially diffusion MRI (dMRI), relaxometry imaging, and magnetization transfer imaging (MTI) have provided unprecedented opportunities to non-invasively quantify and map the early developmental changes at whole brain and regional levels. Here, we review the recent advances in understanding early brain structural development during the second half of gestation and the first two postnatal years using modern MR techniques. Specifically, we review studies that delineate the emergence and microstructural maturation of white matter tracts, as well as dynamic mapping of inhomogeneous cortical microstructural organization unique to fetuses and infants. These imaging studies converge into maturational curves of MRI measurements that are distinctive across different white matter tracts and cortical regions. Furthermore, contemporary models offering biophysical interpretations of the dMRI-derived measurements are illustrated to infer the underlying microstructural changes. Collectively, this review summarizes findings that contribute to charting spatiotemporally heterogeneous gray and white matter structural development, offering MRI-based biomarkers of typical brain development and setting the stage for understanding aberrant brain development in neurodevelopmental disorders.
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Affiliation(s)
- Minhui Ouyang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States
| | - Jessica Dubois
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - Qinlin Yu
- Radiology Research, Children's Hospital of Philadelphia, PA, United States
| | - Pratik Mukherjee
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, United States
| | - Hao Huang
- Radiology Research, Children's Hospital of Philadelphia, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, United States.
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Benavente-Fernández I, Rodríguez-Zafra E, León-Martínez J, Jiménez-Gómez G, Ruiz-González E, Fernández-Colina RC, Lechuga-Sancho AM, Lubián-López SP. Normal Cerebellar Growth by Using Three-dimensional US in the Preterm Infant from Birth to Term-corrected Age. Radiology 2018; 288:254-261. [PMID: 29613844 DOI: 10.1148/radiol.2018171956] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To establish cross-sectional and longitudinal reference values for cerebellar size in preterm infants with normal neuroimaging findings and normal 2-year neurodevelopmental outcome by using cranial ultrasonography (US). Materials and Methods This prospective study consecutively enrolled preterm infants admitted to a neonatal intensive care unit from June 2011 to June 2014 with a birth weight of less than or equal to 1500 g and/or gestational age (GA) of less than or equal to 32 weeks. They underwent weekly cranial US from birth to term-equivalent age and magnetic resonance (MR) imaging at term-equivalent age. The infants underwent neurodevelopmental assessments at age 2 years with Bayley Scales of Infant and Toddler Development, 3rd edition (BSID-III). Patients with adverse outcomes (death or abnormal neuroimaging findings and/or BSID-III score of <85) were excluded. The following measurements were performed: vermis height, craniocaudal diameter, superior width, inferior width, vermis area, and transcerebellar diameter. Statistical analyses were conducted by using multilevel analyses. Results A total of 137 infants with a mean GA at birth of 29.4 weeks (range, 25-32 weeks) were included. Transcerebellar diameter increased by 1.04 mm per week on average; vermis height and craniocaudal diameter increased by 0.55 mm and 0.59 mm, respectively. Superior vermian width increased by an average of 0.45 mm, whereas inferior vermian width increased by an average of 0.51 mm per week. Vermis area was found to increase by 0.22 cm2 per week on average. The sex effect was significant (female lower than male) for vermis height (P < .05), craniocaudal diameter (P < .05), inferior vermian width (P <. 05), and vermis area (P <. 05). Conclusion Cross-sectional and longitudinal reference values were established for cerebellar growth in preterm infants, which may be included in routine cranial US.
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Affiliation(s)
- Isabel Benavente-Fernández
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Enrique Rodríguez-Zafra
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Jesús León-Martínez
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Gema Jiménez-Gómez
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Estefanía Ruiz-González
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Rosalía Campuzano Fernández-Colina
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Alfonso M Lechuga-Sancho
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
| | - Simón P Lubián-López
- From the Neonatology Unit (I.B.F., E.R.G., S.P.L.L.) and Research Unit (G.J.G., A.M.L.S.), University Hospital Puerta del Mar, Avda. Ana de Viya 21, Cádiz 11009, Spain; Nene Foundation (Neonatal Neurology Research Group), Madrid, Spain (I.B.F., S.P.L.L.); Department of Pediatrics, Faculty of Medicine, University of Cádiz, Cádiz, Spain (E.R.Z., J.L.M.); and Early Intervention, Health and Social Policies, Regional Government of Andalusia, Seville, Spain (R.C.F.C.)
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Bouyssi-Kobar M, Brossard-Racine M, Jacobs M, Murnick J, Chang T, Limperopoulos C. Regional microstructural organization of the cerebral cortex is affected by preterm birth. Neuroimage Clin 2018; 18:871-880. [PMID: 29876271 PMCID: PMC5988027 DOI: 10.1016/j.nicl.2018.03.020] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 03/09/2018] [Accepted: 03/15/2018] [Indexed: 10/31/2022]
Abstract
Objectives To compare regional cerebral cortical microstructural organization between preterm infants at term-equivalent age (TEA) and healthy full-term newborns, and to examine the impact of clinical risk factors on cerebral cortical micro-organization in the preterm cohort. Study design We prospectively enrolled very preterm infants (gestational age (GA) at birth<32 weeks; birthweight<1500 g) and healthy full-term controls. Using non-invasive 3T diffusion tensor imaging (DTI) metrics, we quantified regional micro-organization in ten cerebral cortical areas: medial/dorsolateral prefrontal cortex, anterior/posterior cingulate cortex, insula, posterior parietal cortex, motor/somatosensory/auditory/visual cortex. ANCOVA analyses were performed controlling for sex and postmenstrual age at MRI. Results We studied 91 preterm infants at TEA and 69 full-term controls. Preterm infants demonstrated significantly higher diffusivity in the prefrontal, parietal, motor, somatosensory, and visual cortices suggesting delayed maturation of these cortical areas. Additionally, postnatal hydrocortisone treatment was related to accelerated microstructural organization in the prefrontal and somatosensory cortices. Conclusions Preterm birth alters regional microstructural organization of the cerebral cortex in both neurocognitive brain regions and areas with primary sensory/motor functions. We also report for the first time a potential protective effect of postnatal hydrocortisone administration on cerebral cortical development in preterm infants.
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Affiliation(s)
- Marine Bouyssi-Kobar
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA; Institute for Biomedical Sciences, George Washington University, Washington, DC 20037, USA.
| | - Marie Brossard-Racine
- Department of Pediatrics Neurology, McGill University Health Center, Montreal, QC H4A3J1, Canada.
| | - Marni Jacobs
- Division of Biostatistics and Study Methodology, Children's Research Institute, Children's National Health System, Washington, DC 20010, USA.
| | - Jonathan Murnick
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA.
| | - Taeun Chang
- Department of Neurology, Children's National Health System, Washington, DC 20010, USA.
| | - Catherine Limperopoulos
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC 20010, USA.
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Schneider J, Fischer Fumeaux CJ, Duerden EG, Guo T, Foong J, Graz MB, Hagmann P, Chakravarty MM, Hüppi PS, Beauport L, Truttmann AC, Miller SP. Nutrient Intake in the First Two Weeks of Life and Brain Growth in Preterm Neonates. Pediatrics 2018; 141:peds.2017-2169. [PMID: 29440285 DOI: 10.1542/peds.2017-2169] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/12/2017] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Optimizing early nutritional intake in preterm neonates may promote brain health and neurodevelopment through enhanced brain maturation. Our objectives were (1) to determine the association of energy and macronutrient intake in the first 2 weeks of life with regional and total brain growth and white matter (WM) maturation, assessed by 3 serial MRI scans in preterm neonates; (2) to examine how critical illness modifies this association; and (3) to investigate the relationship with neurodevelopmental outcomes. METHODS Forty-nine preterm neonates (21 boys, median [interquartile range] gestational age: 27.6 [2.3] weeks) were scanned serially at the following median postmenstrual weeks: 29.4, 31.7, and 41. The total brain, basal nuclei, and cerebellum were semiautomatically segmented. Fractional anisotropy was extracted from diffusion tensor imaging data. Nutritional intake from day of life 1 to 14 was monitored and clinical factors were collected. RESULTS Greater energy and lipid intake predicted increased total brain and basal nuclei volumes over the course of neonatal care to term-equivalent age. Similarly, energy and lipid intake were significantly associated with fractional anisotropy values in selected WM tracts. The association of ventilation duration with smaller brain volumes was attenuated by higher energy intake. Brain growth predicted psychomotor outcome at 18 months' corrected age. CONCLUSIONS In preterm neonates, greater energy and enteral feeding during the first 2 weeks of life predicted more robust brain growth and accelerated WM maturation. The long-lasting effect of early nutrition on neurodevelopment may be mediated by enhanced brain growth. Optimizing nutrition in preterm neonates may represent a potential avenue to mitigate the adverse brain health consequences of critical illness.
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Affiliation(s)
- Juliane Schneider
- Department of Paediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Canada.,Department of Woman-Mother-Child, Clinic of Neonatology and
| | | | - Emma G Duerden
- Department of Paediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Canada
| | - Ting Guo
- Department of Paediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Canada
| | - Justin Foong
- Department of Paediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Canada
| | | | - Patric Hagmann
- Department of Radiology, Clinic of Neuroradiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, Montreal, Canada.,Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Canada; and
| | - Petra S Hüppi
- Division of Development and Growth, Department of Paediatrics, University Hospital of Geneva, Geneva, Switzerland
| | - Lydie Beauport
- Department of Woman-Mother-Child, Clinic of Neonatology and
| | | | - Steven P Miller
- Department of Paediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Canada;
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George JM, Pannek K, Rose SE, Ware RS, Colditz PB, Boyd RN. Diagnostic accuracy of early magnetic resonance imaging to determine motor outcomes in infants born preterm: a systematic review and meta-analysis. Dev Med Child Neurol 2018; 60:134-146. [PMID: 29193032 DOI: 10.1111/dmcn.13611] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/15/2017] [Indexed: 01/18/2023]
Abstract
AIM To examine the diagnostic ability of early magnetic resonance imaging (MRI; <36wks postmenstrual age) to detect later adverse motor outcomes or cerebral palsy (CP) in infants born preterm. METHOD Studies of infants born preterm with MRI earlier than 36 weeks postmenstrual age and quantitative motor data or a diagnosis of CP at or beyond 1 year corrected age were identified. Study details were extracted and meta-analyses performed where possible. Quality of included studies was evaluated with the QUADAS-2 (a revised tool for the quality assessment of diagnostic accuracy studies). RESULTS Thirty-one articles met the inclusion criteria, five of which reported diagnostic accuracy and five reported data sufficient for calculation of diagnostic accuracy. Early structural MRI global scores detected a later diagnosis of CP with a pooled sensitivity of 100% (95% confidence interval [CI] 86-100) and a specificity of 93% (95% CI 59-100). Global structural MRI scores determined adverse motor outcomes with a pooled sensitivity of 89% (95% CI 44-100) and a specificity of 98% (95% CI 90-100). White matter scores determined adverse motor outcomes with a pooled sensitivity of 33% (95% CI 20-48) and a specificity of 83% (95% CI 78-88). INTERPRETATION Early structural MRI has reasonable sensitivity and specificity to determine adverse motor outcomes and CP in infants born preterm. Greater reporting of diagnostic accuracy in studies examining relationships with motor outcomes and CP is required to facilitate clinical utility of early MRI. WHAT THIS PAPER ADDS Early magnetic resonance imaging (MRI) has reasonable sensitivity and specificity to determine later adverse motor outcomes and cerebral palsy (CP). Detection of infants who progressed to CP was stronger than motor outcomes. Global MRI scores determined adverse motor outcomes more accurately than white matter scores. Few studies report diagnostic accuracy of early MRI findings. Diagnostic accuracy is required to draw clinically meaningful conclusions from early MRI studies.
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Affiliation(s)
- Joanne M George
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Centre for Children's Health Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Kerstin Pannek
- The Australian e-Health Research Centre, Health and Biosecurity, CSIRO, Brisbane, Australia
| | - Stephen E Rose
- The Australian e-Health Research Centre, Health and Biosecurity, CSIRO, Brisbane, Australia
| | - Robert S Ware
- Menzies Health Institute Queensland, Griffith University, Brisbane, Australia.,Queensland Centre for Intellectual and Developmental Disability, The University of Queensland, Brisbane, Australia
| | - Paul B Colditz
- Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.,Perinatal Research Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Centre for Children's Health Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Imai K, de Vries LS, Alderliesten T, Wagenaar N, van der Aa NE, Lequin MH, Benders MJNL, van Haastert IC, Groenendaal F. MRI Changes in the Thalamus and Basal Ganglia of Full-Term Neonates with Perinatal Asphyxia. Neonatology 2018; 114:253-260. [PMID: 29961068 PMCID: PMC6191878 DOI: 10.1159/000489159] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 04/11/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) is the standard neuroimaging technique to assess perinatal asphyxia-associated brain injury in full-term infants. Diffusion-weighted imaging (DWI) is most informative when assessed during the first week after the insult. OBJECTIVES To study the DWI abnormalities of the thalamus and basal ganglia in full-term infants with perinatal asphyxia. METHODS Fifty-five (near) term infants (normothermia n = 23; hypothermia n = 32) with thalamus and/or basal ganglia injury were included. MRI findings were assessed visually and quantitatively calculating apparent diffusion coefficient (ADC) values. Thalamus/basal ganglia ADC ratios were calculated to analyze the differences between these areas. Infants with an early MRI (days 1-3) or later MRI (days 4-7) were compared. RESULTS Isolated extensive thalamic injury was seen early, and focal thalamic and basal ganglia injury was seen later. On the early MRI, visual assessment underestimated abnormalities in the basal ganglia (59% abnormal vs. 90% abnormal on quantitative assessment; p = 0.015), suggesting the need for quantitative assessment. In infants treated with hypothermia, the thalamus/basal ganglia ADC ratio was lower. CONCLUSIONS Both visual analysis and quantitative evaluation of cerebral MRI after perinatal asphyxia are needed, especially during the first few days after birth. Timing of ADC changes is influenced by therapeutic hypothermia.
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Affiliation(s)
- Ken Imai
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Neonatology, Tokyo Women's Medical University, Tokyo, Japan
| | - Linda S de Vries
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Thomas Alderliesten
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Nienke Wagenaar
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Niek E van der Aa
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Maarten H Lequin
- Department of Radiology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Manon J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ingrid C van Haastert
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Floris Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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36
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Procedural pain and oral glucose in preterm neonates: brain development and sex-specific effects. Pain 2017; 159:515-525. [DOI: 10.1097/j.pain.0000000000001123] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Nunes RG, Ferrazzi G, Price AN, Hutter J, Gaspar AS, Rutherford MA, Hajnal JV. Inner-volume echo volumar imaging (IVEVI) for robust fetal brain imaging. Magn Reson Med 2017; 80:279-285. [PMID: 29115686 DOI: 10.1002/mrm.26998] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/17/2017] [Accepted: 10/18/2017] [Indexed: 11/08/2022]
Abstract
PURPOSE Fetal functional MRI studies using conventional 2-dimensional single-shot echo-planar imaging sequences may require discarding a large data fraction as a result of fetal and maternal motion. Increasing the temporal resolution using echo volumar imaging (EVI) could provide an effective alternative strategy. Echo volumar imaging was combined with inner volume (IV) imaging (IVEVI) to locally excite the fetal brain and acquire full 3-dimensional images, fast enough to freeze most fetal head motion. METHODS IVEVI was implemented by modifying a standard multi-echo echo-planar imaging sequence. A spin echo with orthogonal excitation and refocusing ensured localized excitation. To introduce T2* weighting and to save time, the k-space center was shifted relative to the spin echo. Both single and multi-shot variants were tested. Acoustic noise was controlled by adjusting the amplitude and switching frequency of the readout gradient. Image-based shimming was used to minimize B0 inhomogeneities within the fetal brain. RESULTS The sequence was first validated in an adult. Eight fetuses were scanned using single-shot IVEVI at a 3.5 × 3.5 × 5.0 mm3 resolution with a readout duration of 383 ms. Multishot IVEVI showed reduced geometric distortions along the second phase-encode direction. CONCLUSIONS Fetal EVI remains challenging. Although effective echo times comparable to the T2* values of fetal cortical gray matter at 3 T could be achieved, controlling acoustic noise required longer readouts, leading to substantial distortions in single-shot images. Although multishot variants enabled us to reduce susceptibility-induced geometric distortions, sensitivity to motion was increased. Future studies should therefore focus on improvements to multishot variants. Magn Reson Med 80:279-285, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Rita G Nunes
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.,Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom
| | - Giulio Ferrazzi
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Anthony N Price
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Jana Hutter
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Andreia S Gaspar
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.,Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom
| | - Mary A Rutherford
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Joseph V Hajnal
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.,Centre for the Developing Brain, King's College London, London, United Kingdom
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38
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Friedrichs-Maeder CL, Griffa A, Schneider J, Hüppi PS, Truttmann A, Hagmann P. Exploring the role of white matter connectivity in cortex maturation. PLoS One 2017; 12:e0177466. [PMID: 28545040 PMCID: PMC5435226 DOI: 10.1371/journal.pone.0177466] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 04/27/2017] [Indexed: 12/18/2022] Open
Abstract
The maturation of the cortical gray matter (GM) and white matter (WM) are described as sequential processes following multiple, but distinct rules. However, neither the mechanisms driving brain maturation processes, nor the relationship between GM and WM maturation are well understood. Here we use connectomics and two MRI measures reflecting maturation related changes in cerebral microstructure, namely the Apparent Diffusion Coefficient (ADC) and the T1 relaxation time (T1), to study brain development. We report that the advancement of GM and WM maturation are inter-related and depend on the underlying brain connectivity architecture. Particularly, GM regions and their incident WM connections show corresponding maturation levels, which is also observed for GM regions connected through a WM tract. Based on these observations, we propose a simple computational model supporting a key role for the connectome in propagating maturation signals sequentially from external stimuli, through primary sensory structures to higher order functional cortices.
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Affiliation(s)
| | - Alessandra Griffa
- Department of Radiology, Centre Hospitalier Universitaire Vaudoise (CHUV), Lausanne, Switzerland
- Signal Processing Laboratory (LTSS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Juliane Schneider
- Clinic of Neonatology and Follow-up, Department of Pediatrics, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- Division of Neurology, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Petra Susan Hüppi
- Division of Development and Growth, Department of Pediatrics, University of Geneva, Geneva, Switzerland
| | - Anita Truttmann
- Clinic of Neonatology and Follow-up, Department of Pediatrics, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Patric Hagmann
- Department of Radiology, Centre Hospitalier Universitaire Vaudoise (CHUV), Lausanne, Switzerland
- Signal Processing Laboratory (LTSS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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39
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Beauport L, Schneider J, Faouzi M, Hagmann P, Hüppi PS, Tolsa JF, Truttmann AC, Fischer Fumeaux CJ. Impact of Early Nutritional Intake on Preterm Brain: A Magnetic Resonance Imaging Study. J Pediatr 2017; 181:29-36.e1. [PMID: 27837953 DOI: 10.1016/j.jpeds.2016.09.073] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 07/14/2016] [Accepted: 09/29/2016] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To investigate the association between early nutritional intake and brain development assessed by magnetic resonance imaging (MRI). STUDY DESIGN A cohort of neonates born at ≤30 weeks gestational age underwent MRI at term equivalent age. Brain maturation and injury were assessed using the Kidokoro score. Two groups were defined by severity of the scores. The associations between macronutrients intake during the first 2 weeks of life, clinical factors, and imaging scores were analyzed using logistic regression. RESULTS MRI scores from group 1 patients (n = 27) were normal to mildly abnormal (0-5). Group 2 (n = 15) had more abnormal scores (6-12). The median gestational ages (IQR) were 27.4 (1.9) weeks in group 1 and 27.0 (2.9) weeks in group 2, with birth weights of 900 (318) g (group 1) and 844 (293) g (group 2). In group 2, energy, lipid, and carbohydrate intake were significantly lower than in group 1. Group 2 also showed higher rates of sepsis and clinical risk scores than group 1. After adjustments in bivariate models, higher energy and lipid intake remained significantly associated with improved scores on MRI. This association was stronger for the gray matter component of the score. CONCLUSIONS Higher energy and lipid intake during the first 2 weeks after birth was associated with a lower incidence of brain lesions and dysmaturation at term equivalent age in preterm neonates.
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Affiliation(s)
- Lydie Beauport
- Clinic of Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland; Division of Neonatology, Department of Pediatrics, Centre Hospitalier Chrétien, Site St-Vincent, Rocourt, Belgium
| | - Juliane Schneider
- Clinic of Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland; Division of Neurology, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Mohamed Faouzi
- Biostatitics, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Patric Hagmann
- Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Petra S Hüppi
- Division of Development and Growth, Department of Pediatrics, University Hospital of Geneva, Geneva, Switzerland
| | - Jean-François Tolsa
- Clinic of Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Anita C Truttmann
- Clinic of Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland
| | - Céline J Fischer Fumeaux
- Clinic of Neonatology, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland.
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40
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Groeschel S, Hagberg GE, Schultz T, Balla DZ, Klose U, Hauser TK, Nägele T, Bieri O, Prasloski T, MacKay AL, Krägeloh-Mann I, Scheffler K. Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI. PLoS One 2016; 11:e0167274. [PMID: 27898701 PMCID: PMC5127571 DOI: 10.1371/journal.pone.0167274] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 11/13/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation. RESULTS We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas. CONCLUSION Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.
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Affiliation(s)
| | - Gisela E. Hagberg
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital Tübingen, Germany
| | - Thomas Schultz
- Institute of Computer Science, University of Bonn, Germany
| | - Dávid Z. Balla
- Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Uwe Klose
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Till-Karsten Hauser
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Thomas Nägele
- Department of Diagnostic and Interventional Neuroradiology, University Hospital, Tübingen, Germany
| | - Oliver Bieri
- Radiological Physics, University of Basel, Basel, Switzerland
| | | | | | | | - Klaus Scheffler
- High Field Magnetic Resonance, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany
- Biomedical Magnetic Resonance, University Hospital Tübingen, Germany
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41
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Bouyssi-Kobar M, du Plessis AJ, McCarter R, Brossard-Racine M, Murnick J, Tinkleman L, Robertson RL, Limperopoulos C. Third Trimester Brain Growth in Preterm Infants Compared With In Utero Healthy Fetuses. Pediatrics 2016; 138:peds.2016-1640. [PMID: 27940782 PMCID: PMC5079081 DOI: 10.1542/peds.2016-1640] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/23/2016] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Compared with term infants, preterm infants have impaired brain development at term-equivalent age, even in the absence of structural brain injury. However, details regarding the onset and progression of impaired preterm brain development over the third trimester are unknown. Our primary objective was to compare third-trimester brain volumes and brain growth trajectories in ex utero preterm infants without structural brain injury and in healthy in utero fetuses. As a secondary objective, we examined risk factors associated with brain volumes in preterm infants over the third-trimester postconception. METHODS Preterm infants born before 32 weeks of gestational age (GA) and weighing <1500 g with no evidence of structural brain injury on conventional MRI and healthy pregnant women were prospectively recruited. Anatomic T2-weighted brain images of preterm infants and healthy fetuses were parcellated into the following regions: cerebrum, cerebellum, brainstem, and intracranial cavity. RESULTS We studied 205 participants (75 preterm infants and 130 healthy control fetuses) between 27 and 39 weeks' GA. Third-trimester brain volumes were reduced and brain growth trajectories were slower in the ex utero preterm group compared with the in utero healthy fetuses in the cerebrum, cerebellum, brainstem, and intracranial cavity. Clinical risk factors associated with reduced brain volumes included dexamethasone treatment, the presence of extra-axial blood on brain MRI, confirmed sepsis, and duration of oxygen support. CONCLUSIONS These preterm infants exhibited impaired third-trimester global and regional brain growth in the absence of cerebral/cerebellar parenchymal injury detected by using conventional MRI.
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Affiliation(s)
- Marine Bouyssi-Kobar
- The Developing Brain Research Laboratory, Departments of Diagnostic Imaging and Radiology,,Institute for Biomedical Sciences, George Washington University, Washington, District of Columbia
| | | | - Robert McCarter
- Department of Epidemiology and Biostatistics, Children’s National Health System, Washington, District of Columbia
| | - Marie Brossard-Racine
- Department of Pediatrics Neurology, Montreal Children’s Hospital–McGill University Health Center, Montreal, Quebec, Canada; and
| | - Jonathan Murnick
- The Developing Brain Research Laboratory, Departments of Diagnostic Imaging and Radiology
| | - Laura Tinkleman
- The Developing Brain Research Laboratory, Departments of Diagnostic Imaging and Radiology
| | - Richard L. Robertson
- Department of Radiology, Children’s Hospital Boston/Harvard Medical School, Boston, Massachusetts
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