1
|
Christensen R, Chau V, Synnes A, Guo T, Ufkes S, Grunau RE, Miller SP. Preterm Sex Differences in Neurodevelopment and Brain Development From Early Life to 8 years. J Pediatr 2024:114271. [PMID: 39218208 DOI: 10.1016/j.jpeds.2024.114271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/22/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE To examine sex differences in neurodevelopmental outcomes and brain development from early life to 8 years in males and females born preterm. STUDY DESIGN This was a prospective cohort study of infants born very preterm (24-32 weeks' gestation) and followed to 8 years with standardized measures of neurodevelopment. Brain magnetic resonance imaging (MRI) scans were performed soon after birth, term-equivalent age, and 8 years. The relationship between sex, severe brain injury, early pain exposure, fractional anisotropy (FA), and neurodevelopmental outcomes were assessed using multivariable generalized estimating equations. RESULTS Males (N=78) and females (N=66) were similar in clinical risk factors. Male sex was associated with lower cognitive scores (β=-3.8, P=0.02) and greater motor impairment (OR=1.8, P=0.04) across time. Male sex was associated with lower superior white matter FA across time (β=-0.01, P=0.04). Sex moderated the association between severe brain injury, early pain, and neurodevelopmental outcomes. With severe brain injury, males had lower cognitive scores at 3 years (P<0.001). With increasing pain, females had lower cognitive scores at 8 years (P=0.008), and males had greater motor impairment at 4.5 years (P=0.001) and 8 years (P=0.05). CONCLUSIONS Males born preterm had lower cognitive scores and greater motor impairment compared with females, which were associated with differences in white matter maturation. The association between severe brain injury, early pain exposure, and neurodevelopmental outcomes was moderated by sex, indicating a differential response to early-life adversity in males and females born preterm.
Collapse
Affiliation(s)
- Rhandi Christensen
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Vann Chau
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Anne Synnes
- Department of Pediatrics, BC Children's Hospital Research Institute and University of British Columbia, Vancouver, Canada
| | - Ting Guo
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Steven Ufkes
- Department of Pediatrics, BC Children's Hospital Research Institute and University of British Columbia, Vancouver, Canada
| | - Ruth E Grunau
- Department of Pediatrics, BC Children's Hospital Research Institute and University of British Columbia, Vancouver, Canada
| | - Steven P Miller
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada,; Department of Pediatrics, BC Children's Hospital Research Institute and University of British Columbia, Vancouver, Canada.
| |
Collapse
|
2
|
Parmentier CEJ, El Bakkali L, Verhagen EA, Steggerda SJ, Alderliesten T, Lequin MH, van de Pol LA, Benders MJNL, van Bel F, Koopman-Esseboom C, de Haan TR, de Vries LS, Groenendaal F. Brain MRI Injury Patterns across Gestational Age among Preterm Infants with Perinatal Asphyxia. Neonatology 2024:1-11. [PMID: 38838655 DOI: 10.1159/000538986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 04/06/2024] [Indexed: 06/07/2024]
Abstract
INTRODUCTION Brain injury patterns of preterm infants with perinatal asphyxia (PA) are underreported. We aimed to explore brain magnetic resonance imaging (MRI) findings and associated neurodevelopmental outcomes in these newborns. METHODS Retrospective multicenter study included infants with gestational age (GA) 24.0–36.0 weeks and PA, defined as ≥2 of the following: (1) umbilical cord pH ≤7.0, (2) 5-min Apgar score ≤5, and (3) fetal distress or systemic effects of PA. Findings were compared between GA <28.0 (group 1), 28.0–31.9 (group 2), and 32.0–36.0 weeks (group 3). Early MRI (<36 weeks postmenstrual age or <10 postnatal days) was categorized according to predominant injury pattern, and MRI around term-equivalent age (TEA, 36.0–44.0 weeks and ≥10 postnatal days) using the Kidokoro score. Adverse outcomes included death, cerebral palsy, epilepsy, severe hearing/visual impairment, or neurodevelopment <-1 SD at 18–24 months corrected age. RESULTS One hundred nineteen infants with early MRI (n = 94) and/or MRI around TEA (n = 66) were included. Early MRI showed predominantly hemorrhagic injury in groups 1 (56%) and 2 (45%), and white matter (WM)/watershed injury in group 3 (43%). Around TEA, WM scores were highest in groups 2 and 3. Deep gray matter (DGM) (aOR 15.0, 95% CI: 3.8-58.9) and hemorrhagic injury on early MRI (aOR 2.5, 95% CI: 1.3-4.6) and Kidokoro WM (aOR 1.3, 95% CI: 1.0-1.6) and DGM sub-scores (aOR 4.8, 95% CI: 1.1-21.7) around TEA were associated with adverse neurodevelopmental outcomes. CONCLUSION The brain injury patterns following PA in preterm infants differ across GA. Particularly DGM abnormalities are associated with adverse neurodevelopmental outcomes.
Collapse
Affiliation(s)
- Corline E J Parmentier
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Loubna El Bakkali
- Department of Neonatology, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Elise A Verhagen
- Department of Neonatology, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Sylke J Steggerda
- Department of Neonatology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Thomas Alderliesten
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Maarten H Lequin
- Department of Radiology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Laura A van de Pol
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Manon J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Frank van Bel
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Corine Koopman-Esseboom
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Timo R de Haan
- Department of Neonatology, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Linda S de Vries
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Neonatology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Floris Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital Utrecht and Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| |
Collapse
|
3
|
Kelly CE, Thompson DK, Adamson CL, Ball G, Dhollander T, Beare R, Matthews LG, Alexander B, Cheong JLY, Doyle LW, Anderson PJ, Inder TE. Cortical growth from infancy to adolescence in preterm and term-born children. Brain 2024; 147:1526-1538. [PMID: 37816305 PMCID: PMC10994536 DOI: 10.1093/brain/awad348] [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: 01/20/2023] [Revised: 08/10/2023] [Accepted: 09/30/2023] [Indexed: 10/12/2023] Open
Abstract
Early life experiences can exert a significant influence on cortical and cognitive development. Very preterm birth exposes infants to several adverse environmental factors during hospital admission, which affect cortical architecture. However, the subsequent consequence of very preterm birth on cortical growth from infancy to adolescence has never been defined; despite knowledge of critical periods during childhood for establishment of cortical networks. Our aims were to: chart typical longitudinal cortical development and sex differences in cortical development from birth to adolescence in healthy term-born children; estimate differences in cortical development between children born at term and very preterm; and estimate differences in cortical development between children with normal and impaired cognition in adolescence. This longitudinal cohort study included children born at term (≥37 weeks' gestation) and very preterm (<30 weeks' gestation) with MRI scans at ages 0, 7 and 13 years (n = 66 term-born participants comprising 34 with one scan, 18 with two scans and 14 with three scans; n = 201 very preterm participants comprising 56 with one scan, 88 with two scans and 57 with three scans). Cognitive assessments were performed at age 13 years. Cortical surface reconstruction and parcellation were performed with state-of-the-art, equivalent MRI analysis pipelines for all time points, resulting in longitudinal cortical volume, surface area and thickness measurements for 62 cortical regions. Developmental trajectories for each region were modelled in term-born children, contrasted between children born at term and very preterm, and contrasted between all children with normal and impaired cognition. In typically developing term-born children, we documented anticipated patterns of rapidly increasing cortical volume, area and thickness in early childhood, followed by more subtle changes in later childhood, with smaller cortical size in females than males. In contrast, children born very preterm exhibited increasingly reduced cortical volumes, relative to term-born children, particularly during ages 0-7 years in temporal cortical regions. This reduction in cortical volume in children born very preterm was largely driven by increasingly reduced cortical thickness rather than area. This resulted in amplified cortical volume and thickness reductions by age 13 years in individuals born very preterm. Alterations in cortical thickness development were found in children with impaired language and memory. This study shows that the neurobiological impact of very preterm birth on cortical growth is amplified from infancy to adolescence. These data further inform the long-lasting impact on cortical development from very preterm birth, providing broader insights into neurodevelopmental consequences of early life experiences.
Collapse
Affiliation(s)
- Claire E Kelly
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
| | - Deanne K Thompson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Chris L Adamson
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
| | - Gareth Ball
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Thijs Dhollander
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
| | - Richard Beare
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- National Centre for Healthy Ageing and Peninsula Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC 3199, Australia
| | - Lillian G Matthews
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Bonnie Alexander
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Department of Neurosurgery, The Royal Children’s Hospital, Melbourne, VIC 3052, Australia
| | - Jeanie L Y Cheong
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3052, Australia
- Newborn Research, The Royal Women’s Hospital, Melbourne, VIC 3052, Australia
- Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Lex W Doyle
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
- Newborn Research, The Royal Women’s Hospital, Melbourne, VIC 3052, Australia
- Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Peter J Anderson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC 3800, Australia
- Victorian Infant Brain Studies (VIBeS), Murdoch Children’s Research Institute, Melbourne, VIC 3052, Australia
| | - Terrie E Inder
- Center for Neonatal Research, Children's Hospital of Orange County, Orange, CA 92868, USA
- Department of Pediatrics, University of California, Irvine, Irvine, CA 92697, USA
| |
Collapse
|
4
|
Galdi P, Cabez MB, Farrugia C, Vaher K, Williams LZJ, Sullivan G, Stoye DQ, Quigley AJ, Makropoulos A, Thrippleton MJ, Bastin ME, Richardson H, Whalley H, Edwards AD, Bajada CJ, Robinson EC, Boardman JP. Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth. Hum Brain Mapp 2024; 45:e26660. [PMID: 38488444 PMCID: PMC10941526 DOI: 10.1002/hbm.26660] [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] [Received: 09/28/2023] [Revised: 01/18/2024] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
The early life environment programmes cortical architecture and cognition across the life course. A measure of cortical organisation that integrates information from multimodal MRI and is unbound by arbitrary parcellations has proven elusive, which hampers efforts to uncover the perinatal origins of cortical health. Here, we use the Vogt-Bailey index to provide a fine-grained description of regional homogeneities and sharp variations in cortical microstructure based on feature gradients, and we investigate the impact of being born preterm on cortical development at term-equivalent age. Compared with term-born controls, preterm infants have a homogeneous microstructure in temporal and occipital lobes, and the medial parietal, cingulate, and frontal cortices, compared with term infants. These observations replicated across two independent datasets and were robust to differences that remain in the data after matching samples and alignment of processing and quality control strategies. We conclude that cortical microstructural architecture is altered in preterm infants in a spatially distributed rather than localised fashion.
Collapse
Affiliation(s)
- Paola Galdi
- MRC Centre for Reproductive HealthUniversity of EdinburghEdinburghUK
- School of InformaticsUniversity of EdinburghEdinburghUK
| | | | - Christine Farrugia
- Faculty of EngineeringUniversity of MaltaVallettaMalta
- University of Malta Magnetic Resonance Imaging Platform (UMRI)VallettaMalta
| | - Kadi Vaher
- MRC Centre for Reproductive HealthUniversity of EdinburghEdinburghUK
| | - Logan Z. J. Williams
- Centre for the Developing BrainKing's College LondonLondonUK
- School of Biomedical Engineering and Imaging ScienceKing's College LondonLondonUK
| | - Gemma Sullivan
- MRC Centre for Reproductive HealthUniversity of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - David Q. Stoye
- MRC Centre for Reproductive HealthUniversity of EdinburghEdinburghUK
| | | | | | | | - Mark E. Bastin
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Hilary Richardson
- School of Philosophy, Psychology and Language SciencesUniversity of EdinburghEdinburghUK
| | - Heather Whalley
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Centre for Genomic and Experimental MedicineUniversity of EdinburghEdinburghUK
| | - A. David Edwards
- Centre for the Developing BrainKing's College LondonLondonUK
- MRC Centre for Neurodevelopmental DisordersKing's College LondonLondonUK
| | - Claude J. Bajada
- University of Malta Magnetic Resonance Imaging Platform (UMRI)VallettaMalta
- Department of Physiology and Biochemistry, Faculty of Medicine and SurgeryUniversity of MaltaVallettaMalta
| | - Emma C. Robinson
- Centre for the Developing BrainKing's College LondonLondonUK
- School of Biomedical Engineering and Imaging ScienceKing's College LondonLondonUK
| | - James P. Boardman
- MRC Centre for Reproductive HealthUniversity of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| |
Collapse
|
5
|
Demirci N, Holland MA. Scaling patterns of cortical folding and thickness in early human brain development in comparison with primates. Cereb Cortex 2024; 34:bhad462. [PMID: 38271274 DOI: 10.1093/cercor/bhad462] [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: 08/25/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 01/27/2024] Open
Abstract
Across mammalia, brain morphology follows specific scaling patterns. Bigger bodies have bigger brains, with surface area outpacing volume growth, resulting in increased foldedness. We have recently studied scaling rules of cortical thickness, both local and global, finding that the cortical thickness difference between thick gyri and thin sulci also increases with brain size and foldedness. Here, we investigate early brain development in humans, using subjects from the Developing Human Connectome Project, scanned shortly after pre-term or full-term birth, yielding magnetic resonance images of the brain from 29 to 43 postmenstrual weeks. While the global cortical thickness does not change significantly during this development period, its distribution does, with sulci thinning, while gyri thickening. By comparing our results with our recent work on humans and 11 non-human primate species, we also compare the trajectories of primate evolution with human development, noticing that the 2 trends are distinct for volume, surface area, cortical thickness, and gyrification index. Finally, we introduce the global shape index as a proxy for gyrification index; while correlating very strongly with gyrification index, it offers the advantage of being calculated only from local quantities without generating a convex hull or alpha surface.
Collapse
Affiliation(s)
- Nagehan Demirci
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
| | - Maria A Holland
- Bioengineering Graduate Program, University of Notre Dame, Notre Dame, IN 46556, United States
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, United States
| |
Collapse
|
6
|
Christensen R, Chau V, Synnes A, Guo T, Grunau RE, Miller SP. Preterm Neurodevelopmental Trajectories from 18 Months to 4.5 Years. J Pediatr 2023; 258:113401. [PMID: 37019331 DOI: 10.1016/j.jpeds.2023.113401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE To assess the longitudinal trajectory of cognitive, language, and motor outcomes from 18 months to 4.5 years of age in children born very preterm. STUDY DESIGN This was a prospective cohort study of 163 infants born very preterm (born 24-32 weeks of gestation) followed longitudinally and assessed with neurodevelopmental scales and magnetic resonance imaging of the brain. Outcomes at 18 months and 3 years were assessed with the Bayley Scales of Infant and Toddler Development, 3rd Edition, and at 4.5 years with the Wechsler Preschool and Primary Scale of Intelligence-III and the Movement Assessment Battery for Children. Cognitive, language, and motor outcomes were categorized as below-average, average, and above-average, and compared across time. Clinical data were analyzed using ANOVA, χ2 tests, and linear regression. RESULTS Cognitive and language trajectories were stable from 18 months to 4.5 years for all outcome groups. Motor impairment increased over time, with a greater proportion of children having motor deficits at 4.5 years. Children with below-average cognitive and language outcomes at 4.5 years had more clinical risk factors, greater white matter injury, and lower maternal education. Children with severe motor impairment at 4.5 years were born earlier, had more clinical risk factors, and demonstrated greater white matter injury. CONCLUSIONS Children born preterm have stable cognitive and language trajectories, while motor impairment increased at 4.5 years. These results highlight the importance of continued developmental surveillance for children born preterm into preschool age.
Collapse
Affiliation(s)
- Rhandi Christensen
- Division of Neurology, Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Vann Chau
- Division of Neurology, Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anne Synnes
- Department of Pediatrics, University of British Columbia and BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Ting Guo
- Division of Neurology, Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ruth E Grunau
- Department of Pediatrics, University of British Columbia and BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Steven P Miller
- Department of Pediatrics, University of British Columbia and BC Children's Hospital, Vancouver, British Columbia, Canada.
| |
Collapse
|
7
|
Williams LZJ, Fitzgibbon SP, Bozek J, Winkler AM, Dimitrova R, Poppe T, Schuh A, Makropoulos A, Cupitt J, O'Muircheartaigh J, Duff EP, Cordero-Grande L, Price AN, Hajnal JV, Rueckert D, Smith SM, Edwards AD, Robinson EC. Structural and functional asymmetry of the neonatal cerebral cortex. Nat Hum Behav 2023; 7:942-955. [PMID: 36928781 DOI: 10.1038/s41562-023-01542-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/31/2023] [Indexed: 03/18/2023]
Abstract
Features of brain asymmetry have been implicated in a broad range of cognitive processes; however, their origins are still poorly understood. Here we investigated cortical asymmetries in 442 healthy term-born neonates using structural and functional magnetic resonance images from the Developing Human Connectome Project. Our results demonstrate that the neonatal cortex is markedly asymmetric in both structure and function. Cortical asymmetries observed in the term cohort were contextualized in two ways: by comparing them against cortical asymmetries observed in 103 preterm neonates scanned at term-equivalent age, and by comparing structural asymmetries against those observed in 1,110 healthy young adults from the Human Connectome Project. While associations with preterm birth and biological sex were minimal, significant differences exist between birth and adulthood.
Collapse
Affiliation(s)
- Logan Z J Williams
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
| | - Sean P Fitzgibbon
- Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Jelena Bozek
- Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
| | - Anderson M Winkler
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Ralica Dimitrova
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Tanya Poppe
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Andreas Schuh
- Department of Computing, Imperial College London, London, UK
| | - Antonios Makropoulos
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - John Cupitt
- Department of Computing, Imperial College London, London, UK
| | - Jonathan O'Muircheartaigh
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Eugene P Duff
- Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
- UK Dementia Research Institute, Department of Brain Sciences, Imperial College London, London, UK
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, ISCIII, Madrid, Spain
| | - Anthony N Price
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK
- Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephen M Smith
- Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - A David Edwards
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Neonatal Intensive Care Unit, Evelina London Children's Hospital, London, UK
| | - Emma C Robinson
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, UK.
| |
Collapse
|
8
|
Mckinnon K, Galdi P, Blesa-Cábez M, Sullivan G, Vaher K, Corrigan A, Hall J, Jiménez-Sánchez L, Thrippleton M, Bastin ME, Quigley AJ, Valavani E, Tsanas A, Richardson H, Boardman JP. Association of Preterm Birth and Socioeconomic Status With Neonatal Brain Structure. JAMA Netw Open 2023; 6:e2316067. [PMID: 37256618 PMCID: PMC10233421 DOI: 10.1001/jamanetworkopen.2023.16067] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
Importance Preterm birth and socioeconomic status (SES) are associated with brain structure in childhood, but the relative contributions of each during the neonatal period are unknown. Objective To investigate associations of birth gestational age (GA) and SES with neonatal brain morphology by testing 3 hypotheses: GA and SES are associated with brain morphology; associations between SES and brain morphology vary with GA; and associations between SES and brain structure and morphology depend on how SES is operationalized. Design, Setting, and Participants This cohort study recruited participants from November 2016 to September 2021 at a single center in the United Kingdom. Participants were 170 extremely and very preterm infants and 91 full-term or near-term infants. Exclusion criteria were major congenital malformation, chromosomal abnormality, congenital infection, cystic periventricular leukomalacia, hemorrhagic parenchymal infarction, and posthemorrhagic ventricular dilatation. Exposures Birth GA and SES, operationalized at the neighborhood level (using the Scottish Index of Multiple Deprivation), the family level (using parental education and occupation), and subjectively (World Health Organization Quality of Life measure). Main Outcomes and Measures Brain volume (85 parcels) and 5 whole-brain cortical morphology measures (gyrification index, thickness, sulcal depth, curvature, surface area) at term-equivalent age (median [range] age, 40 weeks, 5 days [36 weeks, 2 days to 45 weeks, 6 days] and 42 weeks [38 weeks, 2 days to 46 weeks, 1 day] for preterm and full-term infants, respectively). Results Participants were 170 extremely and very preterm infants (95 [55.9%] male; 4 of 166 [2.4%] Asian, 145 of 166 [87.3%] White) and 91 full-term or near-term infants (50 [54.9%] male; 3 of 86 [3.5%] Asian, 78 of 86 [90.7%] White infants) with median (range) birth GAs of 30 weeks, 0 days (22 weeks, 1 day, to 32 weeks, 6 days) and 39 weeks, 4 days (36 weeks, 3 days, to 42 weeks, 1 day), respectively. In fully adjusted models, birth GA was associated with a higher proportion of brain volumes (27 of 85 parcels [31.8%]; β range, -0.20 to 0.24) than neighborhood-level SES (1 of 85 parcels [1.2%]; β = 0.17 [95% CI, -0.16 to 0.50]) or family-level SES (maternal education: 4 of 85 parcels [4.7%]; β range, 0.09 to 0.15; maternal occupation: 1 of 85 parcels [1.2%]; β = 0.06 [95% CI, 0.02 to 0.11] respectively). There were interactions between GA and both family-level and subjective SES measures on regional brain volumes. Birth GA was associated with cortical surface area (β = 0.10 [95% CI, 0.02 to 0.18]) and gyrification index (β = 0.16 [95% CI, 0.07 to 0.25]); no SES measure was associated with cortical measures. Conclusions and Relevance In this cohort study of UK infants, birth GA and SES were associated with neonatal brain morphology, but low GA had more widely distributed associations with neonatal brain structure than SES. Further work is warranted to elucidate the mechanisms underlying the association of both GA and SES with early brain development.
Collapse
Affiliation(s)
- Katie Mckinnon
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Paola Galdi
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Manuel Blesa-Cábez
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Gemma Sullivan
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Kadi Vaher
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Amy Corrigan
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | - Jill Hall
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Michael Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Alan J. Quigley
- Department of Radiology, Royal Hospital for Children and Young People, Edinburgh, United Kingdom
| | - Evdoxia Valavani
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
| | - Athanasios Tsanas
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Hilary Richardson
- School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - James P. Boardman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| |
Collapse
|
9
|
de Vareilles H, Rivière D, Mangin JF, Dubois J. Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates. Dev Cogn Neurosci 2023; 61:101249. [PMID: 37141790 DOI: 10.1016/j.dcn.2023.101249] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/28/2023] [Accepted: 04/21/2023] [Indexed: 05/06/2023] Open
Abstract
The folding of the human brain mostly takes place in utero, making it challenging to study. After a few pioneer studies looking into it in post-mortem foetal specimen, modern approaches based on neuroimaging have allowed the community to investigate the folding process in vivo, its normal progression, its early disturbances, and its relationship to later functional outcomes. In this review article, we aimed to first give an overview of the current hypotheses on the mechanisms governing cortical folding. After describing the methodological difficulties raised by its study in fetuses, neonates and infants with magnetic resonance imaging (MRI), we reported our current understanding of sulcal pattern emergence in the developing brain. We then highlighted the functional relevance of early sulcal development, through recent insights about hemispheric asymmetries and early factors influencing this dynamic such as prematurity. Finally, we outlined how longitudinal studies have started to relate early folding markers and the child's sensorimotor and cognitive outcome. Through this review, we hope to raise awareness on the potential of studying early sulcal patterns both from a fundamental and clinical perspective, as a window into early neurodevelopment and plasticity in relation to growth in utero and postnatal environment of the child.
Collapse
Affiliation(s)
- H de Vareilles
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France.
| | - D Rivière
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J F Mangin
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J Dubois
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| |
Collapse
|
10
|
Liu MX, Li HF, Wu MQ, Geng SS, Ke L, Lou BW, Du W, Hua J. Associations of preterm and early-term birth with suspected developmental coordination disorder: a national retrospective cohort study in children aged 3-10 years. World J Pediatr 2023; 19:261-272. [PMID: 36469242 PMCID: PMC9974676 DOI: 10.1007/s12519-022-00648-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/26/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND This study analyzed the motor development and suspected developmental coordination disorder of very and moderately preterm (< 34+0 gestational age), late preterm (34+0-36+6 gestational week), and early-term (37+0-38+6 gestational week) children compared to their full-term peers with a national population-based sample in China. METHODS A total of 1673 children (799 girls, 874 boys) aged 3-10 years old were individually assessed with the Movement Assessment Battery for Children-second edition (MABC-2). The association between gestational age and motor performance of children was analyzed using a multilevel regression model. RESULTS The global motor performance [β = - 5.111, 95% confidence interval (CI) = - 9.200 to - 1.022; P = 0.015] and balance (β = - 5.182, 95% CI = - 5.055 to - 1.158; P = 0.003) for very and moderately preterm children aged 3-6 years old were significantly lower than their full-term peers when adjusting for confounders. Late preterm and early-term children showed no difference. Moreover, very and moderately preterm children aged 3-6 years had a higher risk of suspected developmental coordination disorder (DCD) (≤ 5 percentile of MABC-2 score) when adjusting for potential confounders [odds ratio (OR) = 2.931, 95% CI = 1.067-8.054; P = 0.038]. Late preterm and early-term children showed no difference in motor performance from their full-term peers (each P > 0.05). CONCLUSIONS Our findings have important implications for understanding motor impairment in children born at different gestational ages. Very and moderately preterm preschoolers have an increased risk of DCD, and long-term follow-up should be provided for early detection and intervention.
Collapse
Affiliation(s)
- Ming-Xia Liu
- The Women's and Children's Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hai-Feng Li
- Department of Rehabilitation, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Mei-Qin Wu
- The Women's and Children's Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shan-Shan Geng
- The Women's and Children's Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Li Ke
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Bi-Wen Lou
- Leitontech Research Institution, Suzhou, China
| | - Wenchong Du
- Department of Psychology, NTU Psychology, Nottingham Trent University, Nottingham, UK.
| | - Jing Hua
- The Women's and Children's Department, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
| |
Collapse
|
11
|
Nwosu EC, Holmes MJ, Cotton MF, Dobbels E, Little F, Laughton B, van der Kouwe A, Robertson F, Meintjes EM. Similar cortical morphometry trajectories from 5 to 9 years in children with perinatal HIV who started treatment before age 2 years and uninfected controls. BMC Neurosci 2023; 24:15. [PMID: 36829110 PMCID: PMC9951512 DOI: 10.1186/s12868-023-00783-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/14/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Life-long early ART (started before age 2 years), often with periods of treatment interruption, is now the standard of care in pediatric HIV infection. Although cross-sectional studies have investigated HIV-related differences in cortical morphology in the setting of early ART and ART interruption, the long-term impact on cortical developmental trajectories is unclear. This study compares the longitudinal trajectories of cortical thickness and folding (gyrification) from age 5 to 9 years in a subset of children perinatally infected with HIV (CPHIV) from the Children with HIV Early antiRetroviral therapy (CHER) trial to age-matched children without HIV infection. METHODS 75 CHER participants in follow-up care at FAMCRU (Family Centre for Research with Ubuntu), as well as 66 age-matched controls, received magnetic resonance imaging (MRI) on a 3 T Siemens Allegra at ages 5, 7 and/or 9 years. MR images were processed, and cortical surfaces reconstructed using the FreeSurfer longitudinal processing stream. Vertex-wise linear mixed effects (LME) analyses were performed across the whole brain to compare the means and linear rates of change of cortical thickness and gyrification from 5 to 9 years between CPHIV and controls, as well as to examine effects of ART interruption. RESULTS Children without HIV demonstrated generalized cortical thinning from 5 to 9 years, with the rate of thinning varying by region, as well as regional age-related gyrification increases. Overall, the means and developmental trajectories of cortical thickness and gyrification were similar in CPHIV. However, at an uncorrected p < 0.005, 6 regions were identified where the cortex of CPHIV was thicker than in uninfected children, namely bilateral insula, left supramarginal, lateral orbitofrontal and superior temporal, and right medial superior frontal regions. Planned ART interruption did not affect development of cortical morphometry. CONCLUSIONS Although our results suggest that normal development of cortical morphometry between the ages of 5 and 9 years is preserved in CPHIV who started ART early, these findings require further confirmation with longitudinal follow-up through the vulnerable adolescent period.
Collapse
Affiliation(s)
- Emmanuel C Nwosu
- Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.
| | - Martha J Holmes
- Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.,Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Mark F Cotton
- Department of Pediatrics & Child Health, Family Centre for Research With Ubuntu (FAMCRU), Tygerberg Hospital, Stellenbosch University, Cape Town, South Africa
| | - Els Dobbels
- Department of Pediatrics & Child Health, Family Centre for Research With Ubuntu (FAMCRU), Tygerberg Hospital, Stellenbosch University, Cape Town, South Africa
| | - Francesca Little
- Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa
| | - Barbara Laughton
- Department of Pediatrics & Child Health, Family Centre for Research With Ubuntu (FAMCRU), Tygerberg Hospital, Stellenbosch University, Cape Town, South Africa
| | - Andre van der Kouwe
- Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.,A.A. Martinos Centre for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Frances Robertson
- Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.,Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa
| | - Ernesta M Meintjes
- Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa. .,Neuroscience Institute, University of Cape Town, Cape Town, South Africa. .,Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa.
| |
Collapse
|
12
|
De Vareilles H, Rivière D, Pascucci M, Sun ZY, Fischer C, Leroy F, Tataranno ML, Benders MJ, Dubois J, Mangin JF. Exploring the emergence of morphological asymmetries around the brain's Sylvian fissure: a longitudinal study of shape variability in preterm infants. Cereb Cortex 2023:7005629. [PMID: 36702802 DOI: 10.1093/cercor/bhac533] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/28/2022] [Accepted: 12/21/2022] [Indexed: 01/28/2023] Open
Abstract
Brain folding patterns vary within the human species, but some folding properties are common across individuals, including the Sylvian fissure's inter-hemispheric asymmetry. Contrarily to the other brain folds (sulci), the Sylvian fissure develops through the process of opercularization, with the frontal, parietal, and temporal lobes growing over the insular lobe. Its asymmetry may be related to the leftward functional lateralization for language processing, but the time course of these asymmetries' development is still poorly understood. In this study, we investigated refined shape features of the Sylvian fissure and their longitudinal development in 71 infants born extremely preterm (mean gestational age at birth: 26.5 weeks) and imaged once before and once at term-equivalent age (TEA). We additionally assessed asymmetrical sulcal patterns at TEA in the perisylvian and inferior frontal regions, neighbor to the Sylvian fissure. While reproducing renowned strong asymmetries in the Sylvian fissure, we captured an early encoding of its main asymmetrical shape features, and we observed global asymmetrical shape features representative of a more pronounced opercularization in the left hemisphere, contrasting with the previously reported right hemisphere advance in sulcation around birth. This added novel insights about the processes governing early-life brain folding mechanisms, potentially linked to the development of language-related capacities.
Collapse
Affiliation(s)
| | - Denis Rivière
- NeuroSpin-BAOBAB, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | - Marco Pascucci
- NeuroSpin-BAOBAB, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | - Zhong-Yi Sun
- NeuroSpin-BAOBAB, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | - Clara Fischer
- NeuroSpin-BAOBAB, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | - François Leroy
- NeuroSpin-BAOBAB, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France.,NeuroSpin-UNICOG, Inserm, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | - Maria-Luisa Tataranno
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, Netherlands
| | - Manon J Benders
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CX, Netherlands
| | - Jessica Dubois
- NeuroDiderot, Inserm, Université Paris Cité, Paris 75019, France.,NeuroSpin-UNIACT, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191, France
| | | |
Collapse
|
13
|
Lemaitre H, Le Guen Y, Tilot AK, Stein JL, Philippe C, Mangin JF, Fisher SE, Frouin V. Genetic variations within human gained enhancer elements affect human brain sulcal morphology. Neuroimage 2023; 265:119773. [PMID: 36442731 DOI: 10.1016/j.neuroimage.2022.119773] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 10/07/2022] [Accepted: 11/24/2022] [Indexed: 11/26/2022] Open
Abstract
The expansion of the cerebral cortex is one of the most distinctive changes in the evolution of the human brain. Cortical expansion and related increases in cortical folding may have contributed to emergence of our capacities for high-order cognitive abilities. Molecular analysis of humans, archaic hominins, and non-human primates has allowed identification of chromosomal regions showing evolutionary changes at different points of our phylogenetic history. In this study, we assessed the contributions of genomic annotations spanning 30 million years to human sulcal morphology measured via MRI in more than 18,000 participants from the UK Biobank. We found that variation within brain-expressed human gained enhancers, regulatory genetic elements that emerged since our last common ancestor with Old World monkeys, explained more trait heritability than expected for the left and right calloso-marginal posterior fissures and the right central sulcus. Intriguingly, these are sulci that have been previously linked to the evolution of locomotion in primates and later on bipedalism in our hominin ancestors.
Collapse
Affiliation(s)
- Herve Lemaitre
- Institut des Maladies Neurodégénératives, CNRS UMR 5293, Université de bordeaux, Centre Broca Nouvelle-Aquitaine, Bordeaux, France.
| | - Yann Le Guen
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab UMR 9027, Gif-sur-Yvette, France
| | - Amanda K Tilot
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Jason L Stein
- Department of Genetics and the UNC Neuroscience Center, UNC-Chapel Hill, Chapel Hill, NC, United States of America
| | - Cathy Philippe
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab UMR 9027, Gif-sur-Yvette, France
| | - Jean-François Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab UMR 9027, Gif-sur-Yvette, France
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Vincent Frouin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab UMR 9027, Gif-sur-Yvette, France
| |
Collapse
|
14
|
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.
Collapse
|
15
|
Associations of gestational age with gyrification and neurocognition in healthy adults. Eur Arch Psychiatry Clin Neurosci 2022; 273:467-479. [PMID: 35904633 PMCID: PMC10070217 DOI: 10.1007/s00406-022-01454-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 06/20/2022] [Indexed: 11/03/2022]
Abstract
Epidemiological studies have shown that gestational age and birth weight are linked to cognitive performance in adults. On a neurobiological level, this effect is hypothesized to be related to cortical gyrification, which is determined primarily during fetal development. The relationships between gestational age, gyrification and specific cognitive abilities in adults are still poorly understood. In 542 healthy participants, gyrification indices were calculated from structural magnetic resonance imaging T1 data at 3 T using CAT12. After applying a battery of neuropsychological tests, neuropsychological factors were extracted with a factor analysis. We conducted regressions to test associations between gyrification and gestational age as well as birth weight. Moderation analyses explored the relationships between gestational age, gyrification and neuropsychological factors. Gestational age is significantly positively associated with cortical folding in the left supramarginal, bilaterally in the superior frontal and the lingual cortex. We extracted two neuropsychological factors that describe language abilities and working memory/attention. The association between gyrification in the left superior frontal gyrus and working memory/attention was moderated by gestational age. Further, the association between gyrification in the left supramarginal cortex and both, working memory/attention as well as language, were moderated by gestational age. Gyrification is associated with gestational age and related to specific neuropsychological outcomes in healthy adulthood. Implications from these findings for the cortical neurodevelopment of cognitive domains and mental health are discussed.
Collapse
|
16
|
Sensory-based interventions in the NICU: systematic review of effects on preterm brain development. Pediatr Res 2022; 92:47-60. [PMID: 34508227 DOI: 10.1038/s41390-021-01718-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 07/12/2021] [Accepted: 08/17/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Infants born preterm are known to be at risk for abnormal brain development and adverse neurobehavioral outcomes. To improve early neurodevelopment, several non-pharmacological interventions have been developed and implemented in the neonatal intensive care unit (NICU). Sensory-based interventions seem to improve short-term neurodevelopmental outcomes in the inherently stressful NICU environment. However, how this type of intervention affects brain development in the preterm population remains unclear. METHODS A systematic review of the literature was conducted for published studies in the past 20 years reporting the effects of early, non-pharmacological, sensory-based interventions on the neonatal brain after preterm birth. RESULTS Twelve randomized controlled trials (RCT) reporting short-term effects of auditory, tactile, and multisensory interventions were included after the screening of 1202 articles. Large heterogeneity was identified among studies in relation to both types of intervention and outcomes. Three areas of focus for sensory interventions were identified: auditory-based, tactile-based, and multisensory interventions. CONCLUSIONS Diversity in interventions and outcome measures challenges the possibility to perform an integrative synthesis of results and to translate these for evidence-based clinical practice. This review identifies gaps in the literature and methodological challenges for the implementation of RCTs of sensory interventions in the NICU. IMPACT This paper represents the first systematic review to investigate the effect of non-pharmacological, sensory-based interventions in the NICU on neonatal brain development. Although reviewed RCTs present evidence on the impact of such interventions on the neonatal brain following preterm birth, it is not yet possible to formulate clear guidelines for clinical practice. This review integrates existing literature on the effect of sensory-based interventions on the brain after preterm birth and identifies methodological challenges for the conduction of high-quality RCTs.
Collapse
|
17
|
Jang YH, Kim J, Kim S, Lee K, Na JY, Ahn JH, Kim H, Kim BN, Lee HJ. Abnormal thalamocortical connectivity of preterm infants with elevated thyroid stimulating hormone identified with diffusion tensor imaging. Sci Rep 2022; 12:9257. [PMID: 35661740 PMCID: PMC9166724 DOI: 10.1038/s41598-022-12864-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/16/2022] [Indexed: 11/08/2022] Open
Abstract
While thyroid disturbances during perinatal and postnatal periods in preterm infants with congenital hypothyroidism reportedly disrupt neuronal development, no study has considered the effect of thyroid disturbances in premature infants with subclinical hypothyroidism with elevations of thyroid stimulating hormone. We aimed to identify altered fiber integrity from the thalamus to cortices in preterm infants with subclinical hypothyroidism. All preterm infants born were categorized according to thyroid stimulating hormone levels through serial thyroid function tests (36 preterm controls and 29 preterm infants with subclinical hypothyroidism). Diffusion tensor images were acquired to determine differences in thalamocortical fiber lengths between the groups, and cerebral asymmetries were investigated to observe neurodevelopmental changes. Thalamocortical fiber lengths in the subclinical hypothyroidism group were significantly reduced in the bilateral superior temporal gyrus, heschl's gyrus, lingual gyrus, and calcarine cortex (all p < 0.05). According to the asymmetric value in the orbitofrontal regions, there is a left dominance in the subclinical hypothyroidism group contrary to the controls (p = 0.012), and that of the cuneus areas showed significant decreases in the subclinical hypothyroidism group (p = 0.035). These findings could reflect altered neurodevelopment, which could help treatment plans using biomarkers for subclinical hypothyroidism.
Collapse
Affiliation(s)
- Yong Hun Jang
- Department of Translational Medicine, Hanyang University Graduate School of Biomedical Science and Engineering, Seoul, Republic of Korea
| | - Jinsup Kim
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Sangwoo Kim
- Department of Radiological Science, Daewon University College, Jecheon, Republic of Korea
| | - Kyungmi Lee
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Jae Yoon Na
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Ja-Hye Ahn
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
- Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea
| | - Hyuna Kim
- Department of Child Psychotherapy, Hanyang University Graduate School of Medicine, Seoul, Republic of Korea
| | - Bung-Nyun Kim
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Institute of Human Behavioral Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.
- Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, Republic of Korea.
| |
Collapse
|
18
|
de Vareilles H, Rivière D, Sun Z, Fischer C, Leroy F, Neumane S, Stopar N, Eijsermans R, Ballu M, Tataranno ML, Benders M, Mangin JF, Dubois J. Shape variability of the central sulcus in the developing brain: a longitudinal descriptive and predictive study in preterm infants. Neuroimage 2021; 251:118837. [PMID: 34965455 DOI: 10.1016/j.neuroimage.2021.118837] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/17/2021] [Accepted: 12/18/2021] [Indexed: 02/04/2023] Open
Abstract
Despite growing evidence of links between sulcation and function in the adult brain, the folding dynamics, occurring mostly before normal-term-birth, is vastly unknown. Looking into the development of cortical sulci in infants can give us keys to address fundamental questions: what is the sulcal shape variability in the developing brain? When are the shape features encoded? How are these morphological parameters related to further functional development? In this study, we aimed to investigate the shape variability of the developing central sulcus, which is the frontier between the primary somatosensory and motor cortices. We studied a cohort of 71 extremely preterm infants scanned twice using MRI - once around 30 weeks post-menstrual age (w PMA) and once at term-equivalent age, around 40w PMA -, in order to quantify the sulcus's shape variability using manifold learning, regardless of age-group or hemisphere. We then used these shape descriptors to evaluate the sulcus's variability at both ages and to assess hemispheric and age-group specificities. This led us to propose a description of ten shape features capturing the variability in the central sulcus of preterm infants. Our results suggested that most of these features (8/10) are encoded as early as 30w PMA. We unprecedentedly observed hemispheric asymmetries at both ages, and the one captured at term-equivalent age seems to correspond with the asymmetry pattern previously reported in adults. We further trained classifiers in order to explore the predictive value of these shape features on manual performance at 5 years of age (handedness and fine motor outcome). The central sulcus's shape alone showed a limited but relevant predictive capacity in both cases. The study of sulcal shape features during early neurodevelopment may participate to a better comprehension of the complex links between morphological and functional organization of the developing brain.
Collapse
Affiliation(s)
- H de Vareilles
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France.
| | - D Rivière
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - Z Sun
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - C Fischer
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - F Leroy
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France; Université Paris-Saclay, NeuroSpin-UNICOG, Inserm, CEA, Gif-sur-Yvette, France
| | - S Neumane
- Université de Paris, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| | - N Stopar
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - R Eijsermans
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - M Ballu
- Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom
| | - M L Tataranno
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - Mjnl Benders
- Utrecht University, University Medical Center Utrecht, Department of Neonatology, Utrecht, the Netherlands
| | - J F Mangin
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, Gif-sur-Yvette, France
| | - J Dubois
- Université de Paris, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
| |
Collapse
|
19
|
Spittle AJ, Thompson DK, Olsen JE, Kwong A, Treyvaud K. Predictors of long-term neurodevelopmental outcomes of children born extremely preterm. Semin Perinatol 2021; 45:151482. [PMID: 34456065 DOI: 10.1016/j.semperi.2021.151482] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Children born extremely preterm (<28 weeks' gestation) are at high risk of a range of adverse neurodevelopmental outcomes in later childhood compared with their peers born at term, including cognitive, motor, and behavioral difficulties. These difficulties can be associated with poorer academic achievement and health outcomes at school age. In this review, we discuss several predictors in the newborn period of early childhood neurodevelopmental outcomes including perinatal risk factors, neuroimaging findings and neurobehavioral assessments, along with social and environmental influences for children born extremely preterm. Given the complexity of predicting long-term outcomes in children born extremely preterm, we recommend multi-disciplinary teams in clinical practice to assist in determining an individual child's risk for adverse long-term outcomes and need for referral to targeted intervention, based upon their risk.
Collapse
Affiliation(s)
- Alicia J Spittle
- Department of Physiotherapy, University of Melbourne, Parkville, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Parkville, Australia; Department of Physiotherapy and Newborn Services, The Royal Women's Hospital, Parkville, Australia.
| | - Deanne K Thompson
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Parkville, Australia; Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - Joy E Olsen
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Parkville, Australia; Department of Physiotherapy and Newborn Services, The Royal Women's Hospital, Parkville, Australia
| | - Amanda Kwong
- Department of Physiotherapy, University of Melbourne, Parkville, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Parkville, Australia; Department of Physiotherapy and Newborn Services, The Royal Women's Hospital, Parkville, Australia
| | - Karli Treyvaud
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Parkville, Australia; Department of Psychology and Counselling, La Trobe University, Bundoora, Australia
| |
Collapse
|
20
|
Cachia A, Borst G, Jardri R, Raznahan A, Murray GK, Mangin JF, Plaze M. Towards Deciphering the Fetal Foundation of Normal Cognition and Cognitive Symptoms From Sulcation of the Cortex. Front Neuroanat 2021; 15:712862. [PMID: 34650408 PMCID: PMC8505772 DOI: 10.3389/fnana.2021.712862] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 08/31/2021] [Indexed: 01/16/2023] Open
Abstract
Growing evidence supports that prenatal processes play an important role for cognitive ability in normal and clinical conditions. In this context, several neuroimaging studies searched for features in postnatal life that could serve as a proxy for earlier developmental events. A very interesting candidate is the sulcal, or sulco-gyral, patterns, macroscopic features of the cortex anatomy related to the fold topology-e.g., continuous vs. interrupted/broken fold, present vs. absent fold-or their spatial organization. Indeed, as opposed to quantitative features of the cortical sheet (e.g., thickness, surface area or curvature) taking decades to reach the levels measured in adult, the qualitative sulcal patterns are mainly determined before birth and stable across the lifespan. The sulcal patterns therefore offer a window on the fetal constraints on specific brain areas on cognitive abilities and clinical symptoms that manifest later in life. After a global review of the cerebral cortex sulcation, its mechanisms, its ontogenesis along with methodological issues on how to measure the sulcal patterns, we present a selection of studies illustrating that analysis of the sulcal patterns can provide information on prenatal dispositions to cognition (with a focus on cognitive control and academic abilities) and cognitive symptoms (with a focus on schizophrenia and bipolar disorders). Finally, perspectives of sulcal studies are discussed.
Collapse
Affiliation(s)
- Arnaud Cachia
- Université de Paris, LaPsyDÉ, CNRS, Paris, France
- Université de Paris, IPNP, INSERM, Paris, France
| | - Grégoire Borst
- Université de Paris, LaPsyDÉ, CNRS, Paris, France
- Institut Universitaire de France, Paris, France
| | - Renaud Jardri
- Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre, Plasticity & SubjectivitY (PSY) team, Lille, France
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, United States
| | - Graham K. Murray
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | | | - Marion Plaze
- Université de Paris, IPNP, INSERM, Paris, France
- GHU PARIS Psychiatrie & Neurosciences, site Sainte-Anne, Service Hospitalo-Universitaire, Pôle Hospitalo-Universitaire Paris, Paris, France
| |
Collapse
|
21
|
Longitudinal neurodevelopmental outcomes in preterm twins. Pediatr Res 2021; 90:593-599. [PMID: 32172281 DOI: 10.1038/s41390-020-0840-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 02/10/2020] [Accepted: 02/17/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND Several factors contribute to neurodevelopmental outcomes in preterm infants. The aim of this study was to examine the genetic and environmental influences on long-term outcomes in preterm twins. METHODS From a prospective cohort of 225 preterm neonates studied with MRI, 24 monozygotic and 52 dizygotic twins were included. Neurodevelopmental outcomes at 1.5 and 3 years were assessed with the Bayley-III and at 4.5 years with The Movement Assessment Battery for Children and The Wechsler Preschool and Primary Scale of Intelligence-III. RESULTS Preterm monozygotic and dizygotic twin pairs (N = 76 neonates) had similar neurodevelopmental outcomes at all time points. Monozygotic twins (N = 24) did not show greater agreement for outcomes relative to dizygotic twins (N = 52). Twin pairs who were discordant in development (N = 12) were born at a lower gestational age and had a higher incidence of bronchopulmonary dysplasia and retinopathy of prematurity. Discordant twins become more similar in cognitive and language outcomes over time. CONCLUSIONS Neurodevelopmental outcomes in preterm twins may relate more strongly to environmental factors than genetics. Discordant twins were born earlier and had more perinatal morbidities. Despite the initial discordance, these twin pairs become similar in outcomes over time, which may reflect the positive impact of home environment or early intervention programs. IMPACT Neurodevelopmental outcomes in preterm twins relate more strongly to environmental factors than genetics. Monozygotic twins did not show greater agreement in outcomes relative to dizygotic twins suggesting a stronger environmental, rather than genetic, influence on development. Twin pairs who were discordant in development were born at a lower gestational age and had a higher incidence of perinatal morbidities. Despite the initial discordance, these twin pairs become more similar in cognitive and language outcomes over time, which may reflect the positive impact of early intervention programs or home environment. Neurodevelopmental outcomes in preterm twins are influenced by exposure to early-life insults or environmental stressors. The initial variability in outcomes among preterm infants is not fixed, and efforts made post-discharge from the neonatal intensive care unit can have a substantial impact on long-term outcomes.
Collapse
|
22
|
Tataranno ML, Vijlbrief DC, Dudink J, Benders MJNL. Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury. Front Pediatr 2021; 9:634092. [PMID: 34095022 PMCID: PMC8171663 DOI: 10.3389/fped.2021.634092] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 04/14/2021] [Indexed: 11/27/2022] Open
Abstract
Despite advances in neonatal care to prevent neonatal brain injury and neurodevelopmental impairment, predicting long-term outcome in neonates at risk for brain injury remains difficult. Early prognosis is currently based on cranial ultrasound (CUS), MRI, EEG, NIRS, and/or general movements assessed at specific ages, and predicting outcome in an individual (precision medicine) is not yet possible. New algorithms based on large databases and machine learning applied to clinical, neuromonitoring, and neuroimaging data and genetic analysis and assays measuring multiple biomarkers (omics) can fulfill the needs of modern neonatology. A synergy of all these techniques and the use of automatic quantitative analysis might give clinicians the possibility to provide patient-targeted decision-making for individualized diagnosis, therapy, and outcome prediction. This review will first focus on common neonatal neurological diseases, associated risk factors, and most common treatments. After that, we will discuss how precision medicine and machine learning (ML) approaches could change the future of prediction and prognosis in this field.
Collapse
Affiliation(s)
| | | | | | - Manon J. N. L. Benders
- Department of Neonatology, Wilhelmina Children's Hospital/University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| |
Collapse
|
23
|
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: 57] [Impact Index Per Article: 19.0] [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.
Collapse
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
| |
Collapse
|
24
|
Adle-Biassette H. Neurodevelopmental Sequelae of Preterm Infants: Scientific Challenges. J Neuropathol Exp Neurol 2021; 80:390-392. [PMID: 33842955 DOI: 10.1093/jnen/nlab035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Homa Adle-Biassette
- AP-HP, Hôpital Lariboisière, Service Anatomie Pathologique and Université de Paris, NeuroDiderot, Inserm, Paris, France
| |
Collapse
|
25
|
van Beek PE, Claessens NHP, Makropoulos A, Groenendaal F, de Vries LS, Counsell SJ, Benders MJNL. Increase in Brain Volumes after Implementation of a Nutrition Regimen in Infants Born Extremely Preterm. J Pediatr 2020; 223:57-63.e5. [PMID: 32389719 DOI: 10.1016/j.jpeds.2020.04.063] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 04/02/2020] [Accepted: 04/24/2020] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To assess the effect of early life nutrition on structural brain development in 2 cohorts of extremely preterm infants, before and after the implementation of a nutrition regimen containing more protein and lipid. STUDY DESIGN We included 178 infants retrospectively (median gestational age, 26.6 weeks; IQR, 25.9-27.3), of whom 99 received the old nutrition regimen (cohort A, 2011-2013) and 79 the new nutrition regimen (cohort B, 2013-2015). Intake of protein, lipids, and calories was calculated for the first 28 postnatal days. Brain magnetic resonance imaging (MRI) was performed at 30 weeks postmenstrual age (IQR, 30.3-31.4) and term-equivalent age (IQR, 40.9-41.4). Volumes of 42 (left + right) brain structures were calculated. RESULTS Mean protein and caloric intake in cohort B (3.4 g/kg per day [P < .001] and 109 kcal/kg per day [P = .038]) was higher than in cohort A (2.7 g/kg per day; 104 kcal/kg per day). At 30 weeks, 22 regions were significantly larger in cohort B compared with cohort A, whereas at term-equivalent age, only the caudate nucleus was significantly larger in cohort B compared with cohort A. CONCLUSIONS An optimized nutrition protocol in the first 28 days of life is associated with temporarily improved early life brain volumes.
Collapse
Affiliation(s)
- Pauline E van Beek
- Department of Neonatology, Wilhelmina Children's Hospital, Utrecht, the Netherlands
| | - Nathalie H P Claessens
- Department of Neonatology, Wilhelmina Children's Hospital, Utrecht, the Netherlands; Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands
| | | | - Floris Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital, Utrecht, the Netherlands; Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Linda S de Vries
- Department of Neonatology, Wilhelmina Children's Hospital, Utrecht, the Netherlands; Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Serena J Counsell
- Centre for the Developing Brain, Division of Imaging Science & Biomedical Engineering, King's College London, London, UK
| | - Manon J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital, Utrecht, the Netherlands; Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands.
| |
Collapse
|
26
|
DeCasien AR, Sherwood CC, Schapiro SJ, Higham JP. Greater variability in chimpanzee ( Pan troglodytes) brain structure among males. Proc Biol Sci 2020; 287:20192858. [PMID: 32315585 PMCID: PMC7211446 DOI: 10.1098/rspb.2019.2858] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/23/2020] [Indexed: 01/15/2023] Open
Abstract
Across the animal kingdom, males tend to exhibit more behavioural and morphological variability than females, consistent with the 'greater male variability hypothesis'. This may reflect multiple mechanisms operating at different levels, including selective mechanisms that produce and maintain variation, extended male development, and X chromosome effects. Interestingly, human neuroanatomy shows greater male variability, but this pattern has not been demonstrated in any other species. To address this issue, we investigated sex-specific neuroanatomical variability in chimpanzees by examining relative and absolute surface areas of 23 cortical sulci across 226 individuals (135F/91M), using permutation tests of the male-to-female variance ratio of residuals from MCMC generalized linear mixed models controlling for relatedness. We used these models to estimate sulcal size heritability, simulations to assess the significance of heritability, and Pearson correlations to examine inter-sulcal correlations. Our results show that: (i) male brain structure is relatively more variable; (ii) sulcal surface areas are heritable and therefore potentially subject to selection; (iii) males exhibit lower heritability values, possibly reflecting longer development; and (iv) males exhibit stronger inter-sulcal correlations, providing indirect support for sex chromosome effects. These results provide evidence that greater male neuroanatomical variability extends beyond humans, and suggest both evolutionary and developmental explanations for this phenomenon.
Collapse
Affiliation(s)
- Alex R. DeCasien
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Chet C. Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
| | - Steven J. Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
- Department of Experimental Medicine, The University of Copenhagen, Copenhagen, Denmark
| | - James P. Higham
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| |
Collapse
|
27
|
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.
Collapse
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
| |
Collapse
|
28
|
Govaert P, Triulzi F, Dudink J. The developing brain by trimester. HANDBOOK OF CLINICAL NEUROLOGY 2020; 171:245-289. [PMID: 32736754 DOI: 10.1016/b978-0-444-64239-4.00014-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Transient anatomical entities play a role in the maturation of brain regions and early functional fetal networks. At the postmenstrual age of 7 weeks, major subdivisions of the brain are visible. At the end of the embryonic period, the cortical plate covers the neopallium. The choroid plexus develops in concert with it, and the dorsal thalamus covers about half the diencephalic third ventricle surface. In addition to the fourth ventricle neuroepithelium the rhombic lips are an active neuroepithelial production site. Early reciprocal connections between the thalamus and cortex are present. The corticospinal tract has reached the pyramidal decussation, and the arteries forming the mature circle of Willis are seen. Moreover, the superior sagittal sinus has formed, and at the rostral neuropore the massa commissuralis is growing. At the viable preterm age of around 24 weeks PMA, white matter tracts are in full development. Asymmetric progenitor division permits production of neurons, subventricular zone precursors, and glial cells. Myelin is present in the ventral spinal quadrant, cuneate fascicle, and spinal motor fibers. The neopallial mantle has been separated into transient layers (stratified transitional fields) between the neuroepithelium and the cortical plate. The subplate plays an important role in organizing the structuring of the cortical plate. Commissural tracts have shaped the corpus callosum, early primary gyri are present, and opercularization has started caudally, forming the lateral fissure. Thalamic and striatal nuclei have formed, although GABAergic neurons continue to migrate into the thalamus from the corpus gangliothalamicum. Near-term PMA cerebral sublobulation is active. Between 24 and 32 weeks, primary sulci develop. Myelin is present in the superior cerebellar peduncle, rubrospinal tract, and inferior olive. Germinal matrix disappears from the telencephalon, except for the GABAergic frontal cortical subventricular neuroepithelium.
Collapse
Affiliation(s)
- Paul Govaert
- Department of Neonatology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Neonatology, ZNA Middelheim, Antwerp, Belgium; Department of Rehabilitation and Physical Therapy, Gent University Hospital, Gent, Belgium.
| | - Fabio Triulzi
- Department of Pediatric Neuroradiology, Università Degli Studi di Milano, Milan, Italy
| | - Jeroen Dudink
- Department of Neonatology, University Medical Center, Utrecht, The Netherlands
| |
Collapse
|
29
|
Khalili N, Turk E, Benders MJNL, Moeskops P, Claessens NHP, de Heus R, Franx A, Wagenaar N, Breur JMPJ, Viergever MA, Išgum I. Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks. NEUROIMAGE-CLINICAL 2019; 24:102061. [PMID: 31835284 PMCID: PMC6909142 DOI: 10.1016/j.nicl.2019.102061] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 10/24/2019] [Accepted: 10/26/2019] [Indexed: 01/21/2023]
Abstract
Automatic intracranial volume segmentation. Fetal and neonatal MRI. Deep learning.
MR images of infants and fetuses allow non-invasive analysis of the brain. Quantitative analysis of brain development requires automatic brain tissue segmentation that is typically preceded by segmentation of the intracranial volume (ICV). Fast changes in the size and morphology of the developing brain, motion artifacts, and large variation in the field of view make ICV segmentation a challenging task. We propose an automatic method for segmentation of the ICV in fetal and neonatal MRI scans. The method was developed and tested with a diverse set of scans regarding image acquisition parameters (i.e. field strength, image acquisition plane, image resolution), infant age (23–45 weeks post menstrual age), and pathology (posthaemorrhagic ventricular dilatation, stroke, asphyxia, and Down syndrome). The results demonstrate that the method achieves accurate segmentation with a Dice coefficient (DC) ranging from 0.98 to 0.99 in neonatal and fetal scans regardless of image acquisition parameters or patient characteristics. Hence, the algorithm provides a generic tool for segmentation of the ICV that may be used as a preprocessing step for brain tissue segmentation in fetal and neonatal brain MR scans.
Collapse
Affiliation(s)
- Nadieh Khalili
- Image Sciences Institute, Utrecht University and University Medical Center Utrecht, Utrecht, the Netherlands.
| | - E Turk
- Department of Neonatology, Wilhelmina Childrens Hospital, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - M J N L Benders
- Department of Neonatology, Wilhelmina Childrens Hospital, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - P Moeskops
- Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, the Netherlands
| | - N H P Claessens
- Department of Neonatology, Wilhelmina Childrens Hospital, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - R de Heus
- Department of Obstetrics, University Medical Center Utrecht, the Netherlands
| | - A Franx
- Department of Obstetrics, University Medical Center Utrecht, the Netherlands
| | - N Wagenaar
- Department of Neonatology, Wilhelmina Childrens Hospital, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - J M P J Breur
- Department of Neonatology, Wilhelmina Childrens Hospital, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - M A Viergever
- Image Sciences Institute, Utrecht University and University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - I Išgum
- Image Sciences Institute, Utrecht University and University Medical Center Utrecht, Utrecht, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
30
|
Hyatt CS, Owens MM, Crowe ML, Carter NT, Lynam DR, Miller JD. The quandary of covarying: A brief review and empirical examination of covariate use in structural neuroimaging studies on psychological variables. Neuroimage 2019; 205:116225. [PMID: 31568872 DOI: 10.1016/j.neuroimage.2019.116225] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 07/12/2019] [Accepted: 09/23/2019] [Indexed: 12/17/2022] Open
Abstract
Although covarying for potential confounds or nuisance variables is common in psychological research, relatively little is known about how the inclusion of covariates may influence the relations between psychological variables and indices of brain structure. In Part 1 of the current study, we conducted a descriptive review of relevant articles from the past two years of NeuroImage in order to identify the most commonly used covariates in work of this nature. Age, sex, and intracranial volume were found to be the most commonly used covariates, although the number of covariates used ranged from 0 to 14, with 37 different covariate sets across the 68 models tested. In Part 2, we used data from the Human Connectome Project to investigate the degree to which the addition of common covariates altered the relations between individual difference variables (i.e., personality traits, psychopathology, cognitive tasks) and regional gray matter volume (GMV), as well as the statistical significance of values associated with these effect sizes. Using traditional and random sampling approaches, our results varied widely, such that some covariate sets influenced the relations between the individual difference variables and GMV very little, while the addition of other covariate sets resulted in a substantially different pattern of results compared to models with no covariates. In sum, these results suggest that the use of covariates should be critically examined and discussed as part of the conversation on replicability in structural neuroimaging. We conclude by recommending that researchers pre-register their analytic strategy and present information on how relations differ based on the inclusion of covariates.
Collapse
Affiliation(s)
| | - Max M Owens
- University of Georgia, USA; University of Vermont, USA
| | | | | | | | | |
Collapse
|
31
|
Stolp HB, Fleiss B, Arai Y, Supramaniam V, Vontell R, Birtles S, Yates AG, Baburamani AA, Thornton C, Rutherford M, Edwards AD, Gressens P. Interneuron Development Is Disrupted in Preterm Brains With Diffuse White Matter Injury: Observations in Mouse and Human. Front Physiol 2019; 10:955. [PMID: 31417418 PMCID: PMC6683859 DOI: 10.3389/fphys.2019.00955] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 07/09/2019] [Indexed: 12/18/2022] Open
Abstract
Preterm brain injury, occurring in approximately 30% of infants born <32 weeks gestational age, is associated with an increased risk of neurodevelopmental disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). The mechanism of gray matter injury in preterm born children is unclear and likely to be multifactorial; however, inflammation, a high predictor of poor outcome in preterm infants, has been associated with disrupted interneuron maturation in a number of animal models. Interneurons are important for regulating normal brain development, and disruption in interneuron development, and the downstream effects of this, has been implicated in the etiology of neurodevelopmental disorders. Here, we utilize postmortem tissue from human preterm cases with or without diffuse white matter injury (WMI; PMA range: 23+2 to 28+1 for non-WMI group, 26+6 to 30+0 for WMI group, p = 0.002) and a model of inflammation-induced preterm diffuse white matter injury (i.p. IL-1β, b.d., 10 μg/kg/injection in male CD1 mice from P1–5). Data from human preterm infants show deficits in interneuron numbers in the cortex and delayed growth of neuronal arbors at this early stage of development. In the mouse, significant reduction in the number of parvalbumin-positive interneurons was observed from postnatal day (P) 10. This decrease in parvalbumin neuron number was largely rectified by P40, though there was a significantly smaller number of parvalbumin positive cells associated with perineuronal nets in the upper cortical layers. Together, these data suggest that inflammation in the preterm brain may be a contributor to injury of specific interneuron in the cortical gray matter. This may represent a potential target for postnatal therapy to reduce the incidence and/or severity of neurodevelopmental disorders in preterm infants.
Collapse
Affiliation(s)
- Helen B Stolp
- Department for Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.,Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Bobbi Fleiss
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Université de Paris, NeuroDiderot, Inserm, Paris, France.,School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Yoko Arai
- Université de Paris, NeuroDiderot, Inserm, Paris, France
| | - Veena Supramaniam
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Regina Vontell
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Department of Neurology, University of Miami, Miller School of Medicine, Miami, FL, United States
| | - Sebastian Birtles
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Abi G Yates
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Ana A Baburamani
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Claire Thornton
- Department for Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.,Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Mary Rutherford
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - A David Edwards
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom
| | - Pierre Gressens
- Department of Perinatal Imaging & Health, Centre for the Developing Brain, School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom.,Université de Paris, NeuroDiderot, Inserm, Paris, France
| |
Collapse
|
32
|
Hedderich DM, Bäuml JG, Berndt MT, Menegaux A, Scheef L, Daamen M, Zimmer C, Bartmann P, Boecker H, Wolke D, Gaser C, Sorg C. Aberrant gyrification contributes to the link between gestational age and adult IQ after premature birth. Brain 2019; 142:1255-1269. [DOI: 10.1093/brain/awz071] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 01/23/2019] [Accepted: 01/30/2019] [Indexed: 12/31/2022] Open
Affiliation(s)
- Dennis M Hedderich
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Josef G Bäuml
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Maria T Berndt
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Aurore Menegaux
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Graduate School of Systemic Neurosciences GSN, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Lukas Scheef
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Christian Gaser
- Department of Psychiatry and Neurology, University Hospital Jena, Jena, Germany
| | - Christian Sorg
- TUM-NIC Neuroimaging Center, Technische Universität München, Munich, Germany
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Psychiatry, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| |
Collapse
|
33
|
Pecheva D, Tournier JD, Pietsch M, Christiaens D, Batalle D, Alexander DC, Hajnal JV, Edwards AD, Zhang H, Counsell SJ. Fixel-based analysis of the preterm brain: Disentangling bundle-specific white matter microstructural and macrostructural changes in relation to clinical risk factors. Neuroimage Clin 2019; 23:101820. [PMID: 30991305 PMCID: PMC6462822 DOI: 10.1016/j.nicl.2019.101820] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 04/05/2019] [Accepted: 04/07/2019] [Indexed: 12/13/2022]
Abstract
Diffusion MRI (dMRI) studies using the tensor model have identified abnormal white matter development associated with perinatal risk factors in preterm infants studied at term equivalent age (TEA). However, this model is an oversimplification of the underlying neuroanatomy. Fixel-based analysis (FBA) is a novel quantitative framework, which identifies microstructural and macrostructural changes in individual fibre populations within voxels containing crossing fibres. The aim of this study was to apply FBA to investigate the relationship between fixel-based measures of apparent fibre density (FD), fibre bundle cross-section (FC), and fibre density and cross-section (FDC) and perinatal risk factors in preterm infants at TEA. We studied 50 infants (28 male) born at 24.0-32.9 (median 30.4) weeks gestational age (GA) and imaged at 38.6-47.1 (median 42.1) weeks postmenstrual age (PMA). dMRI data were acquired in non-collinear directions with b-value 2500 s/mm2 on a 3 Tesla system sited on the neonatal intensive care unit. FBA was performed to assess the relationship between FD, FC, FDC and PMA at scan, GA at birth, days on mechanical ventilation, days on total parenteral nutrition (TPN), birthweight z-score, and sex. FBA reveals fibre population-specific alterations in FD, FC and FDC associated with clinical risk factors. FD was positively correlated with GA at birth and was negatively correlated with number of days requiring ventilation. FC was positively correlated with GA at birth, birthweight z-scores and was higher in males. FC was negatively correlated with number of days on ventilation and days on TPN. FDC was positively correlated with GA at birth and birthweight z-scores, negatively correlated with days on ventilation and days on TPN and higher in males. We demonstrate that these relationships are fibre-specific even within regions of crossing fibres. These results show that aberrant white matter development involves both microstructural changes and macrostructural alterations.
Collapse
Affiliation(s)
- Diliana Pecheva
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Maximilian Pietsch
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Daan Christiaens
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King''s College London, UK
| | - Daniel C Alexander
- Department of Computer Science and Centre for Medical Image Computing, University College London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
| |
Collapse
|
34
|
Duncan AF, Bann CM, Dempsey AG, Adams-Chapman I, Heyne R, Hintz SR. Neuroimaging and Bayley-III correlates of early hand function in extremely preterm children. J Perinatol 2019; 39:488-496. [PMID: 30692613 PMCID: PMC7092795 DOI: 10.1038/s41372-019-0314-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 12/04/2018] [Accepted: 12/21/2018] [Indexed: 01/09/2023]
Abstract
OBJECTIVE(S) Investigate associations between 18 and 22-month corrected age hand function, adverse findings on serial cranial ultrasound (CUS) and near-term brain MRI (ntMRI), and Bayley-III scores in extremely preterm (EPT) toddlers. STUDY DESIGN Cohort analysis of Neonatal Research Network SUPPORT NEURO data. Associations between brain abnormalities, hand function, and Bayley-III scores were examined using chi-square and generalized linear mixed effect model analyses. RESULTS A total of 433 children were included. Sixteen percent had hand function deficits; these were associated with late CUS (p < 0.001) abnormalities, white matter abnormality (WMA) on ntMRI (p < 0.001), and Bayley-III scores. Six percent had CP. Fourteen percent of children without and 50% of those with CP had hand function abnormalities. CONCLUSIONS Late CUS findings and severity of WMA were significantly associated with hand function deficits. Hand function deficits were nearly three times more common than CP and may be a useful marker of early brain insult and predictor of preterm birth effects on development.
Collapse
Affiliation(s)
- Andrea F. Duncan
- Department of Pediatrics, Division of Neonatal-Perinatal Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Carla M. Bann
- Statistics and Epidemiology Unit, RTI International, Research Triangle Park, NC, USA
| | - Allison G. Dempsey
- Department of Pediatrics, Division of Neonatal-Perinatal Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ira Adams-Chapman
- Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Emory University, Atlanta, GA, USA
| | - Roy Heyne
- Department of Pediatrics, Division of Neonatal-Perinatal Medicine, University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA
| | - Susan R. Hintz
- Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Stanford University, Palo Alto, CA, USA
| | | |
Collapse
|
35
|
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.
Collapse
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.
| |
Collapse
|
36
|
Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome. Neuroimage 2019; 185:728-741. [DOI: 10.1016/j.neuroimage.2018.06.034] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 05/08/2018] [Accepted: 06/09/2018] [Indexed: 12/13/2022] Open
|
37
|
Provenzi L, Carli PD, Fumagalli M, Giorda R, Casavant S, Beri S, Citterio A, D'Agata A, Morandi F, Mosca F, Borgatti R, Montirosso R. Very preterm birth is associated with PLAGL1 gene hypomethylation at birth and discharge. Epigenomics 2018; 10:1121-1130. [PMID: 30070601 DOI: 10.2217/epi-2017-0123] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
AIM Recent findings show that DNA methylation is susceptible to very preterm (VPT) birth and to the experience of the early stay in the neonatal intensive care unit. The aim of the study was to compare PLAGL1 methylation between VPT and full-term (FT) infants at birth as well as between VPT infants at discharge and FT infants at birth. METHODS DNA was collected from cord blood of 56 VPT and 27 FT infants at birth and from peripheral blood in VPT infants at neonatal intensive care unit discharge. Sociodemographic and neonatal variables were considered. RESULTS PLAGL1 methylation at birth and at discharge were highly correlated in VPT infants. Lower methylation emerged in VPT infants at birth and discharge compared to FT counterparts. CONCLUSION PLAGL1 hypomethylation emerged as a potential epigenetic mark of VPT birth. Future research is warranted to assess the functional consequences of PLAGL1 diminished methylation in VPT infants' development.
Collapse
Affiliation(s)
- Livio Provenzi
- 0-3 Center for the at-Risk Infant, Scientific Institute, IRCCS Eugenio Medea, 238422, Bosisio Parini, Italy
| | - Pietro De Carli
- 0-3 Center for the at-Risk Infant, Scientific Institute, IRCCS Eugenio Medea, 238422, Bosisio Parini, Italy
| | - Monica Fumagalli
- NICU, Department of Clinical Sciences & Community Health, Università degli Studi di Milano, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 201223, Milan, Italy
| | - Roberto Giorda
- Molecular Biology Laboratory, Scientific Institute, IRCCS Eugenio Medea, 238424, Bosisio Parini, Italy
| | - Sharon Casavant
- School of Nursing, University of Connecticut, Storrs, CT, 060325, USA
| | - Silvana Beri
- Molecular Biology Laboratory, Scientific Institute, IRCCS Eugenio Medea, 238424, Bosisio Parini, Italy
| | - Andrea Citterio
- Molecular Biology Laboratory, Scientific Institute, IRCCS Eugenio Medea, 238424, Bosisio Parini, Italy
| | - Amy D'Agata
- College of Nursing, University of Rhode Island, Kingston, RI, 028816, USA
| | | | - Fabio Mosca
- NICU, Department of Clinical Sciences & Community Health, Università degli Studi di Milano, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 201223, Milan, Italy
| | - Renato Borgatti
- Neuropsychiatry & Neurorehabilitation Unit, Scientific Institute, IRCCS Eugenio Medea, 238422, Bosisio Parini, Italy
| | - Rosario Montirosso
- 0-3 Center for the at-Risk Infant, Scientific Institute, IRCCS Eugenio Medea, 238422, Bosisio Parini, Italy
| |
Collapse
|
38
|
Tracing the structural origins of atypical language representation: consequences of prenatal mirror-imaged brain asymmetries in a dizygotic twin couple. Brain Struct Funct 2018; 223:3757-3767. [PMID: 30062562 DOI: 10.1007/s00429-018-1717-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Accepted: 07/13/2018] [Indexed: 01/16/2023]
Abstract
We investigated the predictive value of prenatal superior temporal sulcus (STS) depth asymmetry in a special case of a female dizygotic twin that showed inverted prenatal asymmetry of this structure. For this purpose, we performed a follow-up investigation in this former fetus at the age of seven, where we assessed the functional language lateralization using task-based and resting-state functional magnetic resonance imaging (fMRI). As control group we employed her twin brother, who showed a typical folding pattern prenatally, as well as a complementary set of four age-matched children that had fetal MRI of their brains and typical STS depth asymmetry. We could show that the twin with the atypical fetal asymmetry of the STS also showed significantly differing rightward language lateralization in the frontal and temporal lobes. Additionally, resting-state data suggest a stronger connectivity between inferior frontal gyri in this case. The twin showed normal cognitive development. This result gives a first glimpse into the STS' atypical asymmetry being a very early morphological marker for later language lateralization.
Collapse
|
39
|
Batalle D, O'Muircheartaigh J, Makropoulos A, Kelly CJ, Dimitrova R, Hughes EJ, Hajnal JV, Zhang H, Alexander DC, Edwards AD, Counsell SJ. Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. Neuroimage 2018; 185:764-775. [PMID: 29802969 PMCID: PMC6299264 DOI: 10.1016/j.neuroimage.2018.05.046] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 04/19/2018] [Accepted: 05/18/2018] [Indexed: 12/17/2022] Open
Abstract
Human cortical development during the third trimester is characterised by macro- and microstructural changes which are reflected in alterations in diffusion MRI (dMRI) measures, with significant decreases in cortical mean diffusivity (MD) and fractional anisotropy (FA). This has been interpreted as reflecting increased cellular density and dendritic arborisation. However, the fall in FA stops abruptly at 38 weeks post-menstrual age (PMA), and then tends to plateau, while MD continues to fall, suggesting a more complex picture and raising the hypothesis that after this age development is dominated by continuing increase in neural and organelle density rather than alterations in the geometry of dendritic trees. To test this, we used neurite orientation dispersion and density imaging (NODDI), acquiring multi-shell, high angular resolution dMRI and measures of cortical volume and mean curvature in 99 preterm infants scanned between 25 and 47 weeks PMA. We predicted that increased neurite and organelle density would be reflected in increases in neurite density index (NDI), while a relatively unchanging geometrical structure would be associated with constant orientation dispersion index (ODI). As dendritic arborisation is likely to be one of the drivers of gyrification, we also predicted that measures of cortical volume and curvature would correlate with ODI and show slower growth after 38 weeks. We observed a decrease of MD throughout the period, while cortical FA decreased from 25 to 38 weeks PMA and then increased. ODI increased up to 38 weeks and then plateaued, while NDI rose after 38 weeks. The evolution of ODI correlated with cortical volume and curvature. Regional analysis of cortical microstructure revealed a heterogenous pattern with increases in FA and NDI after 38 weeks confined to primary motor and sensory regions. These results support the interpretation that cortical development between 25 and 38 weeks PMA shows a predominant increase in dendritic arborisation and neurite growth, while between 38 and 47 weeks PMA it is dominated by increasing cellular and organelle density. DTI and NODDI cortical measures between 25 and 47 weeks GA Early cortical changes consistent with dendritic arborisation and neurite growth After 38 weeks cortical changes consistent with increasing cellular density Cortical curvature evolves in parallel with dendritic arborisation
Collapse
Affiliation(s)
- Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom
| | - Jonathan O'Muircheartaigh
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences & Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, United Kingdom
| | | | - Christopher J Kelly
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom
| | - Ralica Dimitrova
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences & Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, United Kingdom
| | - Emer J Hughes
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom
| | - Hui Zhang
- Department of Computer Science & Centre for Medical Image Computing, University College London, United Kingdom
| | - Daniel C Alexander
- Department of Computer Science & Centre for Medical Image Computing, University College London, United Kingdom
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom.
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, SE1 7EH, London, United Kingdom
| |
Collapse
|
40
|
Dubois J, Lefèvre J, Angleys H, Leroy F, Fischer C, Lebenberg J, Dehaene-Lambertz G, Borradori-Tolsa C, Lazeyras F, Hertz-Pannier L, Mangin JF, Hüppi PS, Germanaud D. The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification. Neuroimage 2018. [PMID: 29522888 DOI: 10.1016/j.neuroimage.2018.03.005] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
In the human brain, the appearance of cortical sulci is a complex process that takes place mostly during the second half of pregnancy, with a relatively stable temporal sequence across individuals. Since deviant gyrification patterns have been observed in many neurodevelopmental disorders, mapping cortical development in vivo from the early stages on is an essential step to uncover new markers for diagnosis or prognosis. Recently this has been made possible by MRI combined with post-processing tools, but the reported results are still fragmented. Here we aimed to characterize the typical folding progression ex utero from the pre- to the post-term period, by considering 58 healthy preterm and full-term newborns and infants imaged between 27 and 62 weeks of post-menstrual age. Using a method of spectral analysis of gyrification (SPANGY), we detailed the spatial-frequency structure of cortical patterns in a quantitative way. The modeling of developmental trajectories revealed three successive waves that might correspond to primary, secondary and tertiary folding. Some deviations were further detected in 10 premature infants without apparent neurological impairment and imaged at term equivalent age, suggesting that our approach is sensitive enough to highlight the subtle impact of preterm birth and extra-uterine life on folding.
Collapse
Affiliation(s)
- Jessica Dubois
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France.
| | - Julien Lefèvre
- Institut de Neurosciences de la Timone, CNRS UMR7289, Aix-Marseille University, Marseille, France
| | - Hugo Angleys
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - François Leroy
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France
| | - Clara Fischer
- CEA, NeuroSpin Center, UNATI, University Paris Saclay, Gif-sur-Yvette, France
| | - Jessica Lebenberg
- INSERM, UMR992, CEA, NeuroSpin Center, University Paris Saclay, Gif-sur-Yvette, France; CEA, NeuroSpin Center, UNATI, University Paris Saclay, Gif-sur-Yvette, France
| | | | | | | | | | | | - Petra S Hüppi
- Geneva University Hospitals, Department of Pediatrics, Switzerland
| | - David Germanaud
- CEA, NeuroSpin, UNIACT, Neuropediatry Team, Gif-sur-Yvette, France; INSERM, Sorbonne Paris Cité University (USPC), CEA, UMR 1129, Paris, France; Paris Diderot University (USPC), AP-HP, Robert-Debré Hospital, DHU Protect, Department of Pediatric Neurology and Metabolic Diseases, Paris, France
| |
Collapse
|
41
|
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: 91] [Impact Index Per Article: 15.2] [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.
Collapse
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;
| |
Collapse
|
42
|
The use of antenatal fetal magnetic resonance imaging in the assessment of patients at high risk of preterm birth. Eur J Obstet Gynecol Reprod Biol 2018; 222:134-141. [DOI: 10.1016/j.ejogrb.2018.01.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 01/10/2018] [Accepted: 01/15/2018] [Indexed: 12/30/2022]
|
43
|
Bouyssi-Kobar M, Murnick J, Brossard-Racine M, Chang T, Mahdi E, Jacobs M, Limperopoulos C. Altered Cerebral Perfusion in Infants Born Preterm Compared with Infants Born Full Term. J Pediatr 2018; 193:54-61.e2. [PMID: 29212618 PMCID: PMC5794508 DOI: 10.1016/j.jpeds.2017.09.083] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Revised: 08/18/2017] [Accepted: 09/29/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To compare regional cerebral cortical blood flow (CBF) in infants born very preterm at term-equivalent age (TEA) and healthy newborns born full term and to examine the impact of clinical risk factors on CBF in the cohort born preterm. STUDY DESIGN This prospective, cross-sectional study included infants born very preterm (gestational age at birth <32 weeks; birth weight <1500 g) and healthy infants born full term. Using noninvasive 3T arterial spin labeling magnetic resonance imaging, we quantified regional CBF in the cerebral cortex: sensorimotor/auditory/visual cortex, superior medial/dorsolateral prefrontal cortex, anterior cingulate cortex (ACC)/posterior cingulate cortex, insula, and lateral posterior parietal cortex, as well as in the brainstem, and deep gray matter. Analyses were performed controlling for sex, gestational age, and age at magnetic resonance imaging. RESULTS We studied 202 infants: 98 born preterm and 104 born full term at TEA. Infants born preterm demonstrated greater global CBF (β = 9.03; P < .0001) and greater absolute regional CBF in all brain regions except the insula. Relative CBF in the insula, ACC and auditory cortex were decreased significantly in infants born preterm compared with their peers born at full term (P < .0001; P = .026; P = .036, respectively). In addition, the presence of parenchymal brain injury correlated with lower global and regional CBF (insula, ACC, sensorimotor, auditory, and visual cortices) whereas the need for cardiac vasopressor support correlated with lower regional CBF in the insula and visual cortex. CONCLUSIONS Altered regional cortical CBF in infants born very preterm at TEA may reflect early brain dysmaturation despite the absence of cerebral cortical injury. Furthermore, specific cerebral cortical areas may be vulnerable to early hemodynamic instability and parenchymal brain injury.
Collapse
Affiliation(s)
- Marine Bouyssi-Kobar
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC; Institute for Biomedical Sciences, George Washington University, Washington, DC
| | - Jonathan Murnick
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC
| | - Marie Brossard-Racine
- Department of Pediatrics Neurology, Montreal Children's Hospital-McGill University Health Center, Montreal, Québec, Canada
| | - Taeun Chang
- Department of Neurology, Children's National Health System, Washington, DC
| | - Eman Mahdi
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC
| | - Marni Jacobs
- Department of Epidemiology and Biostatistics, Children's Research Institute, Children's National Health System, Washington, DC
| | - Catherine Limperopoulos
- The Developing Brain Research Laboratory, Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC.
| |
Collapse
|
44
|
Machine learning shows association between genetic variability in PPARG and cerebral connectivity in preterm infants. Proc Natl Acad Sci U S A 2017; 114:13744-13749. [PMID: 29229843 PMCID: PMC5748164 DOI: 10.1073/pnas.1704907114] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Preterm birth affects 11% of births globally; 35% of infants develop long-term neurocognitive problems, and prematurity leads to the loss of 75 million disability adjusted life years per annum worldwide. Imaging studies have shown that these infants have extensive alterations in brain development, but little is known about the molecular or cellular mechanisms involved. This imaging genetics study found a strong association between abnormal cerebral connectivity and variability in the PPARG gene, implicating PPARG signaling in abnormal white-matter development in preterm infants and suggesting a tractable new target for therapeutic research. Preterm infants show abnormal structural and functional brain development, and have a high risk of long-term neurocognitive problems. The molecular and cellular mechanisms involved are poorly understood, but novel methods now make it possible to address them by examining the relationship between common genetic variability and brain endophenotype. We addressed the hypothesis that variability in the Peroxisome Proliferator Activated Receptor (PPAR) pathway would be related to brain development. We employed machine learning in an unsupervised, unbiased, combined analysis of whole-brain diffusion tractography together with genomewide, single-nucleotide polymorphism (SNP)-based genotypes from a cohort of 272 preterm infants, using Sparse Reduced Rank Regression (sRRR) and correcting for ethnicity and age at birth and imaging. Empirical selection frequencies for SNPs associated with cerebral connectivity ranged from 0.663 to zero, with multiple highly selected SNPs mapping to genes for PPARG (six SNPs), ITGA6 (four SNPs), and FXR1 (two SNPs). SNPs in PPARG were significantly overrepresented (ranked 7–11 and 67 of 556,000 SNPs; P < 2.2 × 10−7), and were mostly in introns or regulatory regions with predicted effects including protein coding and nonsense-mediated decay. Edge-centric graph-theoretic analysis showed that highly selected white-matter tracts were consistent across the group and important for information transfer (P < 2.2 × 10−17); they most often connected to the insula (P < 6 × 10−17). These results suggest that the inhibited brain development seen in humans exposed to the stress of a premature extrauterine environment is modulated by genetic factors, and that PPARG signaling has a previously unrecognized role in cerebral development.
Collapse
|
45
|
Claessens NHP, Kelly CJ, Counsell SJ, Benders MJNL. Neuroimaging, cardiovascular physiology, and functional outcomes in infants with congenital heart disease. Dev Med Child Neurol 2017; 59:894-902. [PMID: 28542743 DOI: 10.1111/dmcn.13461] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/17/2017] [Indexed: 01/12/2023]
Abstract
This review integrates data on brain dysmaturation and acquired brain injury using fetal and neonatal magnetic resonance imaging (MRI), including the contribution of cardiovascular physiology to differences in brain development, and the relationship between brain abnormalities and subsequent neurological impairments in infants with congenital heart disease (CHD). The antenatal and neonatal period are critical for optimal brain development; the developing brain is particularly vulnerable to haemodynamic disturbances during this time. Altered cerebral perfusion and decreased cerebral oxygen delivery in the antenatal period can affect functional and structural brain development, while postnatal haemodynamic fluctuations may cause additional injury. In critical CHD, brain dysmaturation and acquired brain injury result from a combination of underlying cardiovascular pathology and surgery performed in the neonatal period. MRI findings in infants with CHD can be used to evaluate potential clinical risk factors for brain abnormalities, and aid prediction of functional outcomes at an early stage. In addition, information on timing of brain dysmaturation and acquired brain injury in CHD has the potential to be used when developing strategies to optimize neurodevelopment.
Collapse
Affiliation(s)
- Nathalie H P Claessens
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Christopher J Kelly
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Manon J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
46
|
Hinojosa-Rodríguez M, Harmony T, Carrillo-Prado C, Van Horn JD, Irimia A, Torgerson C, Jacokes Z. Clinical neuroimaging in the preterm infant: Diagnosis and prognosis. Neuroimage Clin 2017; 16:355-368. [PMID: 28861337 PMCID: PMC5568883 DOI: 10.1016/j.nicl.2017.08.015] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Revised: 08/11/2017] [Accepted: 08/12/2017] [Indexed: 01/30/2023]
Abstract
Perinatal care advances emerging over the past twenty years have helped to diminish the mortality and severe neurological morbidity of extremely and very preterm neonates (e.g., cystic Periventricular Leukomalacia [c-PVL] and Germinal Matrix Hemorrhage - Intraventricular Hemorrhage [GMH-IVH grade 3-4/4]; 22 to < 32 weeks of gestational age, GA). However, motor and/or cognitive disabilities associated with mild-to-moderate white and gray matter injury are frequently present in this population (e.g., non-cystic Periventricular Leukomalacia [non-cystic PVL], neuronal-axonal injury and GMH-IVH grade 1-2/4). Brain research studies using magnetic resonance imaging (MRI) report that 50% to 80% of extremely and very preterm neonates have diffuse white matter abnormalities (WMA) which correspond to only the minimum grade of severity. Nevertheless, mild-to-moderate diffuse WMA has also been associated with significant affectations of motor and cognitive activities. Due to increased neonatal survival and the intrinsic characteristics of diffuse WMA, there is a growing need to study the brain of the premature infant using non-invasive neuroimaging techniques sensitive to microscopic and/or diffuse lesions. This emerging need has led the scientific community to try to bridge the gap between concepts or ideas from different methodologies and approaches; for instance, neuropathology, neuroimaging and clinical findings. This is evident from the combination of intense pre-clinical and clinicopathologic research along with neonatal neurology and quantitative neuroimaging research. In the following review, we explore literature relating the most frequently observed neuropathological patterns with the recent neuroimaging findings in preterm newborns and infants with perinatal brain injury. Specifically, we focus our discussions on the use of neuroimaging to aid diagnosis, measure morphometric brain damage, and track long-term neurodevelopmental outcomes.
Collapse
Affiliation(s)
- Manuel Hinojosa-Rodríguez
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Campus Juriquilla, Mexico
| | - Thalía Harmony
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Campus Juriquilla, Mexico
| | - Cristina Carrillo-Prado
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Campus Juriquilla, Mexico
| | - John Darrell Van Horn
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, 2025 Zonal Avenue, SHN, Los Angeles, California 90033, USA
| | - Andrei Irimia
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, 2025 Zonal Avenue, SHN, Los Angeles, California 90033, USA
| | - Carinna Torgerson
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, 2025 Zonal Avenue, SHN, Los Angeles, California 90033, USA
| | - Zachary Jacokes
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, 2025 Zonal Avenue, SHN, Los Angeles, California 90033, USA
| |
Collapse
|
47
|
Anblagan D, Pataky R, Evans MJ, Telford EJ, Serag A, Sparrow S, Piyasena C, Semple SI, Wilkinson AG, Bastin ME, Boardman JP. Association between preterm brain injury and exposure to chorioamnionitis during fetal life. Sci Rep 2016; 6:37932. [PMID: 27905410 PMCID: PMC5131360 DOI: 10.1038/srep37932] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Accepted: 11/02/2016] [Indexed: 12/27/2022] Open
Abstract
Preterm infants are susceptible to inflammation-induced white matter injury but the exposures that lead to this are uncertain. Histologic chorioamnionitis (HCA) reflects intrauterine inflammation, can trigger a fetal inflammatory response, and is closely associated with premature birth. In a cohort of 90 preterm infants with detailed placental histology and neonatal brain magnetic resonance imaging (MRI) data at term equivalent age, we used Tract-based Spatial Statistics (TBSS) to perform voxel-wise statistical comparison of fractional anisotropy (FA) data and computational morphometry analysis to compute the volumes of whole brain, tissue compartments and cerebrospinal fluid, to test the hypothesis that HCA is an independent antenatal risk factor for preterm brain injury. Twenty-six (29%) infants had HCA and this was associated with decreased FA in the genu, cingulum cingulate gyri, centrum semiovale, inferior longitudinal fasciculi, limbs of the internal capsule, external capsule and cerebellum (p < 0.05, corrected), independent of degree of prematurity, bronchopulmonary dysplasia and postnatal sepsis. This suggests that diffuse white matter injury begins in utero for a significant proportion of preterm infants, which focuses attention on the development of methods for detecting fetuses and placentas at risk as a means of reducing preterm brain injury.
Collapse
Affiliation(s)
- Devasuda Anblagan
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.,Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Rozalia Pataky
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Margaret J Evans
- Department of Pathology, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, EH16 4SA, UK
| | - Emma J Telford
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Ahmed Serag
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Sarah Sparrow
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Chinthika Piyasena
- Centre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Scott I Semple
- Centre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.,Clinical Research Imaging Centre, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | | | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - James P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.,Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| |
Collapse
|
48
|
Browne JV, Martinez D, Talmi A. Infant Mental Health (IMH) in the Intensive Care Unit: Considerations for the Infant, the Family and the Staff. ACTA ACUST UNITED AC 2016. [DOI: 10.1053/j.nainr.2016.09.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|