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Thompson DK, Kelly CE, Dhollander T, Muggli E, Hearps S, Lewis S, Nguyen TNN, Spittle A, Elliott EJ, Penington A, Halliday J, Anderson PJ. Associations between low-moderate prenatal alcohol exposure and brain development in childhood. Neuroimage Clin 2024; 42:103595. [PMID: 38555806 PMCID: PMC10998198 DOI: 10.1016/j.nicl.2024.103595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND The effects of low-moderate prenatal alcohol exposure (PAE) on brain development have been infrequently studied. AIM To compare cortical and white matter structure between children aged 6 to 8 years with low-moderate PAE in trimester 1 only, low-moderate PAE throughout gestation, or no PAE. METHODS Women reported quantity and frequency of alcohol consumption before and during pregnancy. Magnetic resonance imaging was undertaken for 143 children aged 6 to 8 years with PAE during trimester 1 only (n = 44), PAE throughout gestation (n = 58), and no PAE (n = 41). T1-weighted images were processed using FreeSurfer, obtaining brain volume, area, and thickness of 34 cortical regions per hemisphere. Fibre density (FD), fibre cross-section (FC) and fibre density and cross-section (FDC) metrics were computed for diffusion images. Brain measures were compared between PAE groups adjusted for age and sex, then additionally for intracranial volume. RESULTS After adjustments, the right caudal anterior cingulate cortex volume (pFDR = 0.045) and area (pFDR = 0.008), and right cingulum tract cross-sectional area (pFWE < 0.05) were smaller in children exposed to alcohol throughout gestation compared with no PAE. CONCLUSION This study reports a relationship between low-moderate PAE throughout gestation and cingulate cortex and cingulum tract alterations, suggesting a teratogenic vulnerability. Further investigation is warranted.
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Affiliation(s)
- Deanne K Thompson
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Claire E Kelly
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Thijs Dhollander
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Evelyne Muggli
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Stephen Hearps
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Sharon Lewis
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia
| | | | - Alicia Spittle
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Physiotherapy, The University of Melbourne, Victoria, Australia
| | - Elizabeth J Elliott
- The University of Sydney, Specialty of Child and Adolescent Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia; Kids Research, Children's Hospitals Network, Westmead, Sydney, New South Wales, Australia
| | - Anthony Penington
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia; Royal Children's Hospital, Parkville, Victoria, Australia
| | - Jane Halliday
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia
| | - Peter J Anderson
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia.
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Pretzel P, Wilke M, Tournier JD, Goelz R, Lidzba K, Hauser TK, Groeschel S. Reduced structural connectivity in non-motor networks in children born preterm and the influence of early postnatal human cytomegalovirus infection. Front Neurol 2023; 14:1241387. [PMID: 37849834 PMCID: PMC10577195 DOI: 10.3389/fneur.2023.1241387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Preterm birth is increasingly recognized to cause lifelong functional deficits, which often show no correlate in conventional MRI. In addition, early postnatal infection with human cytomegalovirus (hCMV) is being discussed as a possible cause for further impairments. In the present work, we used fixel-based analysis of diffusion-weighted MRI to assess long-term white matter alterations associated with preterm birth and/or early postnatal hCMV infection. Materials and methods 36 former preterms (PT, median age 14.8 years, median gestational age 28 weeks) and 18 healthy term-born controls (HC, median age 11.1 years) underwent high angular resolution DWI scans (1.5 T, b = 2 000 s/mm2, 60 directions) as well as clinical assessment. All subjects showed normal conventional MRI and normal motor function. Early postnatal hCMV infection status (CMV+ and CMV-) had been determined from repeated screening, ruling out congenital infections. Whole-brain analysis was performed, yielding fixel-wise metrics for fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC). Group differences were identified in a whole-brain analysis, followed by an analysis of tract-averaged metrics within a priori selected tracts associated with cognitive function. Both analyses were repeated while differentiating for postnatal hCMV infection status. Results PT showed significant reductions of fixel metrics bilaterally in the cingulum, the genu corporis callosum and forceps minor, the capsula externa, and cerebellar and pontine structures. After including intracranial volume as a covariate, reductions remained significant in the cingulum. The tract-specific investigation revealed further reductions bilaterally in the superior longitudinal fasciculus and the uncinate fasciculus. When differentiating for hCMV infection status, no significant differences were found between CMV+ and CMV-. However, comparing CMV+ against HC, fixel metric reductions were of higher magnitude and of larger spatial extent than in CMV- against HC. Conclusion Preterm birth can lead to long-lasting alterations of WM micro- and macrostructure, not visible on conventional MRI. Alterations are located predominantly in WM structures associated with cognitive function, likely underlying the cognitive deficits observed in our cohort. These observed structural alterations were more pronounced in preterms who suffered from early postnatal hCMV infection, in line with previous studies suggesting an additive effect.
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Affiliation(s)
- Pablo Pretzel
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
| | - Marko Wilke
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Rangmar Goelz
- Department of Neonatology, University Children’s Hospital, Tübingen, Germany
| | - Karen Lidzba
- Division of Neuropaediatrics, Development and Rehabilitation, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Samuel Groeschel
- Department of Child Neurology and Developmental Medicine, University Children’s Hospital, Tübingen, Germany
- Experimental Pediatric Neuroimaging, Department of Child Neurology and Department of Neuroradiology, University Hospital, Tübingen, Germany
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de Vries LM, Amelynck S, Nyström P, van Esch L, Van Lierde T, Warreyn P, Roeyers H, Noens I, Naulaers G, Boets B, Steyaert J. Investigating the development of the autonomic nervous system in infancy through pupillometry. J Neural Transm (Vienna) 2023; 130:723-734. [PMID: 36906867 PMCID: PMC10008146 DOI: 10.1007/s00702-023-02616-7] [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: 08/05/2022] [Accepted: 02/27/2023] [Indexed: 03/13/2023]
Abstract
We aim to investigate early developmental trajectories of the autonomic nervous system (ANS) as indexed by the pupillary light reflex (PLR) in infants with (i.e. preterm birth, feeding difficulties, or siblings of children with autism spectrum disorder) and without (controls) increased likelihood for atypical ANS development. We used eye-tracking to capture the PLR in 216 infants in a longitudinal follow-up study spanning 5 to 24 months of age, and linear mixed models to investigate effects of age and group on three PLR parameters: baseline pupil diameter, latency to constriction and relative constriction amplitude. An increase with age was found in baseline pupil diameter (F(3,273.21) = 13.15, p < 0.001, [Formula: see text] = 0.13), latency to constriction (F(3,326.41) = 3.84, p = 0.010, [Formula: see text] = 0.03) and relative constriction amplitude(F(3,282.53) = 3.70, p = 0.012, [Formula: see text] = 0.04). Group differences were found for baseline pupil diameter (F(3,235.91) = 9.40, p < 0.001, [Formula: see text] = 0.11), with larger diameter in preterms and siblings than in controls, and for latency to constriction (F(3,237.10) = 3.48, p = 0.017, [Formula: see text] = 0.04), with preterms having a longer latency than controls. The results align with previous evidence, with development over time that could be explained by ANS maturation. To better understand the cause of the group differences, further research in a larger sample is necessary, combining pupillometry with other measures to further validate its value.
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Affiliation(s)
- Lyssa M de Vries
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Herestraat 49 Box 1029, 3000, Louvain, Belgium.
- University Hospital Leuven, Louvain, Belgium.
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium.
| | - Steffie Amelynck
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Herestraat 49 Box 1029, 3000, Louvain, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium
| | - Pär Nyström
- Developmental Psychology, Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Lotte van Esch
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Louvain, Belgium
| | - Thijs Van Lierde
- RIDDL Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Petra Warreyn
- RIDDL Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Herbert Roeyers
- RIDDL Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Ilse Noens
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven, Louvain, Belgium
| | - Gunnar Naulaers
- University Hospital Leuven, Louvain, Belgium
- Woman and Child, Department of Development and Regeneration, KU Leuven, Louvain, Belgium
| | - Bart Boets
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Herestraat 49 Box 1029, 3000, Louvain, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium
| | - Jean Steyaert
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Herestraat 49 Box 1029, 3000, Louvain, Belgium
- University Hospital Leuven, Louvain, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, Louvain, Belgium
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Siffredi V, Liverani MC, Van De Ville D, Freitas LGA, Borradori Tolsa C, Hüppi PS, Ha-Vinh Leuchter R. Corpus callosum structural characteristics in very preterm children and adolescents: Developmental trajectory and relationship to cognitive functioning. Dev Cogn Neurosci 2023; 60:101211. [PMID: 36780739 PMCID: PMC9925611 DOI: 10.1016/j.dcn.2023.101211] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 02/08/2023] Open
Abstract
Previous studies suggest that structural alteration of the corpus callosum, i.e., the largest white matter commissural pathway, occurs after a preterm birth in the neonatal period and lasts across development. The present study aims to unravel corpus callosum structural characteristics across childhood and adolescence in very preterm (VPT) individuals, and their associations with general intellectual, executive and socio-emotional functioning. Neuropsychological assessments, T1-weighted and multi-shell diffusion MRI were collected in 79 VPT and 46 full term controls aged 6-14 years. Volumetric, diffusion tensor and neurite orientation dispersion and density imaging (NODDI) measures were extracted on 7 callosal portions using TractSeg. A multivariate data-driven approach (partial least squares correlation) and a cohort-based age normative modelling approach were used to explore associations between callosal characteristics and neuropsychological outcomes. The VPT and a full-term control groups showed similar trends of white-matter maturation over time, i.e., increase FA and reduced ODI, in all callosal segments, that was associated with increase in general intellectual functioning. However, using a cohort-based age-related normative modelling, findings show atypical pattern of callosal development in the VPT group, with reduced callosal maturation over time that was associated with poorer general intellectual and working memory functioning, as well as with lower gestational age.
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Affiliation(s)
- Vanessa Siffredi
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland; Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Switzerland.
| | - Maria Chiara Liverani
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland; SensoriMotor, Affective and Social Development Laboratory, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Dimitri Van De Ville
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland; Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Switzerland
| | - Lorena G A Freitas
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland; Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Switzerland
| | - Cristina Borradori Tolsa
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland
| | - Petra Susan Hüppi
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland
| | - Russia Ha-Vinh Leuchter
- Division of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, Switzerland
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Gilchrist CP, Kelly CE, Cumberland A, Dhollander T, Treyvaud K, Lee K, Cheong JLY, Doyle LW, Inder TE, Thompson DK, Tolcos M, Anderson PJ. Fiber-Specific Measures of White Matter Microstructure and Macrostructure Are Associated With Internalizing and Externalizing Symptoms in Children Born Very Preterm and Full-term. Biol Psychiatry 2023; 93:575-585. [PMID: 36481064 DOI: 10.1016/j.biopsych.2022.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 09/06/2022] [Accepted: 09/10/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Tensor-based investigations suggest that delayed or disrupted white matter development may relate to adverse behavioral outcomes in individuals born very preterm (VP); however, metrics derived from such models lack specificity. Here, we applied a fixel-based analysis framework to examine white matter microstructural and macrostructural correlates of concurrent internalizing and externalizing problems in VP and full-term (FT) children at 7 and 13 years. METHODS Diffusion imaging data were collected in a longitudinal cohort of VP and FT individuals (130 VP and 29 FT at 7 years, 125 VP and 44 FT at 13 years). Fixel-based measures of fiber density, fiber-bundle cross-section, and fiber density and cross-section were extracted from 21 white matter tracts previously implicated in psychopathology. Internalizing and externalizing symptoms were assessed using the Strengths and Difficulties Questionnaire parent report at 7 and 13 years. RESULTS At age 7 years, widespread reductions in fiber-bundle cross-section and fiber density and cross-section and tract-specific reductions in fiber density were related to more internalizing and externalizing symptoms irrespective of birth group. At age 13 years, fixel-based measures were not related to internalizing symptoms, while tract-specific reductions in fiber density, fiber-bundle cross-section, and fiber density and cross-section measures were related to more externalizing symptoms in the FT group only. CONCLUSIONS Age-specific neurobiological markers of internalizing and externalizing problems identified in this study extend previous tensor-based findings to inform pathophysiological models of behavior problems and provide the foundation for investigations into novel preventative and therapeutic interventions to mitigate risk in VP and other high-risk infant populations.
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Affiliation(s)
- Courtney P Gilchrist
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Claire E Kelly
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, School of Psychological Science, Monash University, Melbourne, Victoria, Australia
| | - Angela Cumberland
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
| | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Karli Treyvaud
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Psychology and Counselling, La Trobe University, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia
| | - Katherine Lee
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Jeanie L Y Cheong
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Lex W Doyle
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Terrie E Inder
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Deanne K Thompson
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
| | - Peter J Anderson
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, School of Psychological Science, Monash University, Melbourne, Victoria, Australia.
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Kline JE, Dudley J, Illapani VSP, Li H, Kline-Fath B, Tkach J, He L, Yuan W, Parikh NA. Diffuse excessive high signal intensity in the preterm brain on advanced MRI represents widespread neuropathology. Neuroimage 2022; 264:119727. [PMID: 36332850 PMCID: PMC9908008 DOI: 10.1016/j.neuroimage.2022.119727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Preterm brains commonly exhibit elevated signal intensity in the white matter on T2-weighted MRI at term-equivalent age. This signal, known as diffuse excessive high signal intensity (DEHSI) or diffuse white matter abnormality (DWMA) when quantitatively assessed, is associated with abnormal microstructure on diffusion tensor imaging. However, postmortem data are largely lacking and difficult to obtain, and the pathological significance of DEHSI remains in question. In a cohort of 202 infants born preterm at ≤32 weeks gestational age, we leveraged two newer diffusion MRI models - Constrained Spherical Deconvolution (CSD) and neurite orientation dispersion and density index (NODDI) - to better characterize the macro and microstructural properties of DWMA and inform the ongoing debate around the clinical significance of DWMA. With increasing DWMA volume, fiber density broadly decreased throughout the white matter and fiber cross-section decreased in the major sensorimotor tracts. Neurite orientation dispersion decreased in the centrum semiovale, corona radiata, and temporal lobe. These findings provide insight into DWMA's biological underpinnings and demonstrate that it is a serious pathology.
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Affiliation(s)
- Julia E Kline
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Jon Dudley
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Venkata Sita Priyanka Illapani
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Hailong Li
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Beth Kline-Fath
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Jean Tkach
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Lili He
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Weihong Yuan
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Nehal A Parikh
- Neurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
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Neumane S, Gondova A, Leprince Y, Hertz-Pannier L, Arichi T, Dubois J. Early structural connectivity within the sensorimotor network: Deviations related to prematurity and association to neurodevelopmental outcome. Front Neurosci 2022; 16:932386. [PMID: 36507362 PMCID: PMC9732267 DOI: 10.3389/fnins.2022.932386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 11/10/2022] [Indexed: 11/27/2022] Open
Abstract
Consisting of distributed and interconnected structures that interact through cortico-cortical connections and cortico-subcortical loops, the sensorimotor (SM) network undergoes rapid maturation during the perinatal period and is thus particularly vulnerable to preterm birth. However, the impact of prematurity on the development and integrity of the emerging SM connections and their relationship to later motor and global impairments are still poorly understood. In this study we aimed to explore to which extent the early microstructural maturation of SM white matter (WM) connections at term-equivalent age (TEA) is modulated by prematurity and related with neurodevelopmental outcome at 18 months corrected age. We analyzed 118 diffusion MRI datasets from the developing Human Connectome Project (dHCP) database: 59 preterm (PT) low-risk infants scanned near TEA and a control group of full-term (FT) neonates paired for age at MRI and sex. We delineated WM connections between the primary SM cortices (S1, M1 and paracentral region) and subcortical structures using probabilistic tractography, and evaluated their microstructure with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) models. To go beyond tract-specific univariate analyses, we computed a maturational distance related to prematurity based on the multi-parametric Mahalanobis distance of each PT infant relative to the FT group. Our results confirmed the presence of microstructural differences in SM tracts between PT and FT infants, with effects increasing with lower gestational age at birth. Maturational distance analyses highlighted that prematurity has a differential effect on SM tracts with higher distances and thus impact on (i) cortico-cortical than cortico-subcortical connections; (ii) projections involving S1 than M1 and paracentral region; and (iii) the most rostral cortico-subcortical tracts, involving the lenticular nucleus. These different alterations at TEA suggested that vulnerability follows a specific pattern coherent with the established WM caudo-rostral progression of maturation. Finally, we highlighted some relationships between NODDI-derived maturational distances of specific tracts and fine motor and cognitive outcomes at 18 months. As a whole, our results expand understanding of the significant impact of premature birth and early alterations on the emerging SM network even in low-risk infants, with possible relationship with neurodevelopmental outcomes. This encourages further exploration of these potential neuroimaging markers for prediction of neurodevelopmental disorders, with special interest for subtle neuromotor impairments frequently observed in preterm-born children.
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Affiliation(s)
- Sara Neumane
- Inserm, NeuroDiderot, Université Paris Cité, Paris, France
- CEA, NeuroSpin UNIACT, Université Paris-Saclay, Paris, France
- School of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King’s College London, London, United Kingdom
| | - Andrea Gondova
- Inserm, NeuroDiderot, Université Paris Cité, Paris, France
- CEA, NeuroSpin UNIACT, Université Paris-Saclay, Paris, France
| | - Yann Leprince
- CEA, NeuroSpin UNIACT, Université Paris-Saclay, Paris, France
| | - Lucie Hertz-Pannier
- Inserm, NeuroDiderot, Université Paris Cité, Paris, France
- CEA, NeuroSpin UNIACT, Université Paris-Saclay, Paris, France
| | - Tomoki Arichi
- School of Biomedical Engineering and Imaging Sciences, Centre for the Developing Brain, King’s College London, London, United Kingdom
- Paediatric Neurosciences, Evelina London Children’s Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Jessica Dubois
- Inserm, NeuroDiderot, Université Paris Cité, Paris, France
- CEA, NeuroSpin UNIACT, Université Paris-Saclay, Paris, France
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DeMauro SB, Merhar SL, Peralta-Carcelen M, Vohr BR, Duncan AF, Hintz SR. The critical importance of follow-up to school age: Contributions of the NICHD Neonatal Research Network. Semin Perinatol 2022; 46:151643. [PMID: 35850744 PMCID: PMC10983779 DOI: 10.1016/j.semperi.2022.151643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
Follow-up studies are essential for understanding outcomes and informing the care of infants with high risk for medical and developmental consequences because of extreme prematurity or perinatal illness. Studies that extend to school age often identify sequelae that go unrecognized in neonatal or short-term follow-up studies. Many critical neurocognitive, behavioral, functional, and health outcomes are best assessed beginning at school age. The Eunice Kennedy Shriver National Institute of Child Health and Development Neonatal Research Network (NRN) has performed comprehensive school age evaluations of several key trial cohorts. This manuscript summarizes the important contributions of school age follow-up studies in the NRN, both historically and in ongoing research. We describe in detail the clinical questions that have been answered by the completed studies and new questions about the outcomes of high-risk infants that must be addressed by ongoing and future studies.
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Affiliation(s)
- Sara B DeMauro
- University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, Pennsylvania 19146, United States.
| | - Stephanie L Merhar
- University of Cincinnati and Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States
| | | | - Betty R Vohr
- Warren Alpert Medical School of Brown University and Women & Infants Hospital of Rhode Island, Providence, Rhode Island, United States
| | - Andrea F Duncan
- University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
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9
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Zhao Y, Liu G, Liang L, Yu Z, Zhang J, Zheng H, Dai L. Relationship of plasma MBP and 8-oxo-dG with brain damage in preterm. Open Med (Wars) 2022; 17:1674-1681. [PMID: 36349194 PMCID: PMC9587527 DOI: 10.1515/med-2022-0566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/22/2022] [Accepted: 08/17/2022] [Indexed: 11/05/2022] Open
Abstract
Preterm infants face a significant risk of brain injury in the perinatal period, as well as potential long-term neurodevelopmental disabilities. However, preterm children with brain injury lack specific clinical manifestations in the early days. Therefore, timely and accurate diagnosis of brain injury is of vital importance. This study was to explore the diagnostic efficiency of myelin basic protein (MBP) and 8-oxo-deoxyguanosine (8-oxo-dG) serum levels in brain injury of premature infants. A total of 75 preterm infants with gestational age between 28 and 32 weeks and birth weight higher than 1,000 g were prospectively included. MBP serum levels were significantly higher in premature infants with white matter injury (WMI). 8-oxo-dG serum levels were significantly increased in both WMI and periventricular–intraventricular hemorrhages (PIVH). MBP and 8-oxo-dG were significantly correlated. The area under the curve was 0.811 [95% confidence interval (CI) 0.667–0.955; p = 0.002] in MBP and 0.729 (95% CI 0.562–0.897; p = 0.020) in 8-oxo-dG. Therefore, the results showed that high MBP levels indicated a possibility of WMI in the premature brain during the early postnatal period, while high 8-oxo-dG levels were closely related to both WMI and PIVH, thus suggesting that MBP and 8-oxo-dG could be used as potential neuro-markers of preterm brain injury.
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Affiliation(s)
- Yuwei Zhao
- Neonatology Department, Anhui Provincial Children Hospital , Hefei , China
| | - Guanghui Liu
- Neonatology Department, Anhui Provincial Children Hospital , Hefei , China
| | - Lei Liang
- Pulmonary Department, Anhui Provincial Children Hospital , Hefei , China
| | - Zaiwei Yu
- Neonatology Department, Fuyang First People’s Hospital , Fuyang , China
| | - Jian Zhang
- Neonatology Department, Anhui Provincial Children Hospital , Hefei , China
| | - Hong Zheng
- Neonatology Department, Anhui Provincial Children Hospital , Hefei , China
| | - Liying Dai
- Neonatology Department, Anhui Provincial Children Hospital , Hefei , China
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10
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Liu T, Wu J, Zhao Z, Li M, Lv Y, Li M, Gao F, You Y, Zhang H, Ji C, Wu D. Developmental pattern of association fibers and their interaction with associated cortical microstructures in 0-5-month-old infants. Neuroimage 2022; 261:119525. [PMID: 35908606 DOI: 10.1016/j.neuroimage.2022.119525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 11/19/2022] Open
Abstract
Association fibers connect the cortical regions and experience rapid development involving myelination and axonal growth during infancy. Yet, the spatiotemporal patterns of microstructural changes along these tracts, as well as the developmental interaction between the white matter (WM) tracts and the cortical gray matter (cGM) connected to them, are mostly unknown during infancy. In this study, we performed a diffusion MRI-based tractography and microstructure study in a cohort of 89 healthy preterm-born infants with gestational age at birth between 28.1∼36.4 weeks and postmenstrual age at scan between 39.9∼59.9 weeks. Results revealed that several C-shaped fibers, such as the arcuate fasciculus, cingulum, and uncinate fasciculus, demonstrated symmetrical along-tract profiles; and the horizontally oriented running fibers, including the inferior fronto-occipital fasciculus and the inferior longitudinal fasciculus, demonstrated an anterior-posterior developmental gradient. This study characterized the along-tract profiles using fixel-based analysis and revealed that the fiber cross-section (FC) of all five association fibers demonstrated a fluctuating increase with age, while the fiber density (FD) monotonically increase with age. NODDI was utilized to analyze the microstructural development of cGM and indicated cGM connected to the anterior end of the association fibers developed faster than that of the posterior end during 0-5 months. Notably, a mediation analysis was used to explore the relation between the development of WM and associated cGM, and demonstrated a partial mediation effect of FD in WM on the development of intracellular volume (ICV) in cGM and a full mediation effect of ICV on the growth of FD in most fibers, suggesting a predominant mediation of cGM on the WM development. Furthermore, for assessing whether those results were biased by prematurity, we compared preterm- and term-born neonates with matched scan age, gender, and multiple births from the developing human connectome project (dHCP) dataset to assess the effect of preterm-birth, and the results indicated a similar developmental pattern of the association fibers and their attached cGM. These findings presented a comprehensive picture of the major association fibers during early infancy and deciphered the developmental interaction between WM and cGM in this period.
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Affiliation(s)
- Tingting Liu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
| | - Jiani Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
| | - Mingyang Li
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China
| | - Ying Lv
- Department of Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mingyan Li
- Department of Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fusheng Gao
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuqing You
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongxi Zhang
- Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chai Ji
- Department of Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
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11
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Chandwani R, Harpster K, Kline JE, Mehta V, Wang H, Merhar SL, Schwartz TL, Parikh NA. Brain microstructural antecedents of visual difficulties in infants born very preterm. Neuroimage Clin 2022; 34:102987. [PMID: 35290855 PMCID: PMC8918861 DOI: 10.1016/j.nicl.2022.102987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 02/12/2022] [Accepted: 03/07/2022] [Indexed: 11/29/2022]
Abstract
Infants born very preterm (VPT) are at risk of later visual problems. Although neonatal screening can identify ophthalmologic abnormalities, subtle perinatal brain injury and/or delayed brain maturation may be significant contributors to complex visual-behavioral problems. Our aim was to assess the micro and macrostructural antecedents of early visual-behavioral difficulties in VPT infants by using diffusion MRI (dMRI) at term-equivalent age. We prospectively recruited a cohort of 262 VPT infants (≤32 weeks gestational age [GA]) from five neonatal intensive care units. We obtained structural and diffusion MRI at term-equivalent age and administered the Preverbal Visual Assessment (PreViAs) questionnaire to parents at 3-4 months corrected age. We used constrained spherical deconvolution to reconstruct nine white matter tracts of the visual pathways with high reliability and performed fixel-based analysis to derive fiber density (FD), fiber-bundle cross-section (FC), and combined fiber density and cross-section (FDC). In multiple logistic regression analyses, we related these tract metrics to visual-behavioral function. Of 262 infants, 191 had both high-quality dMRI and completed PreViAs, constituting the final cohort: mean (SD) GA was 29.3 (2.4) weeks, 90 (47.1%) were males, and postmenstrual age (PMA) at MRI was 42.8 (1.3) weeks. FD and FC of several tracts were altered in infants with (N = 59) versus those without retinopathy of prematurity (N = 132). FDC of the left posterior thalamic radiations (PTR), left inferior longitudinal fasciculus (ILF), right superior longitudinal fasciculus (SLF), and left inferior fronto-occipital fasciculus (IFOF) were significantly associated with visual attention scores, prior to adjusting for confounders. After adjustment for PMA at MRI, GA, severe retinopathy of prematurity, and total brain volume, FDC of the left PTR, left ILF, and left IFOF remained significantly associated with visual attention. Early visual-behavioral difficulties in VPT infants are preceded by micro and macrostructural abnormalities in several major visual pathways at term-equivalent age.
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Affiliation(s)
- Rahul Chandwani
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Karen Harpster
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Division of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Rehabilitation, Exercise, and Nutrition Sciences, College of Allied Health Sciences, University of Cincinnati, Cincinnati, OH, United States
| | - Julia E Kline
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Ved Mehta
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Hui Wang
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; MR Clinical Science, Philips, Cincinnati, OH, United States
| | - Stephanie L Merhar
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Terry L Schwartz
- Division of Pediatric Ophthalmology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Ophthalmology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Nehal A Parikh
- Center for Prevention of Neurodevelopmental Disorders, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
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12
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Neonatal encephalopathy prediction of poor outcome with diffusion-weighted imaging connectome and fixel-based analysis. Pediatr Res 2022; 91:1505-1515. [PMID: 33966055 PMCID: PMC9053106 DOI: 10.1038/s41390-021-01550-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/01/2021] [Accepted: 04/08/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Better biomarkers of eventual outcome are needed for neonatal encephalopathy. To identify the most potent neonatal imaging marker associated with 2-year outcomes, we retrospectively performed diffusion-weighted imaging connectome (DWIC) and fixel-based analysis (FBA) on magnetic resonance imaging (MRI) obtained in the first 4 weeks of life in term neonatal encephalopathy newborns. METHODS Diffusion tractography was available in 15 out of 24 babies with MRI, five each with normal, abnormal motor outcome, or death. All 15 except one underwent hypothermia as initial treatment. In abnormal motor and death groups, DWIC found 19 white matter pathways with severely disrupted fiber orientation distributions. RESULTS Using random forest classification, these disruptions predicted the follow-up outcomes with 89-99% accuracy. These pathways showed reduced integrity in abnormal motor and death vs. normal tone groups (p < 10-6). Using ranked supervised multi-view canonical correlation and depicting just three of the five dimensions of the analysis, the abnormal motor and death were clearly differentiated from each other and the normal tone group. CONCLUSIONS This study suggests that a machine-learning model for prediction using early DWIC and FBA could be a possible way of developing biomarkers in large MRI datasets having clinical outcomes. IMPACT Early connectome and FBA of clinically acquired DWI provide a new noninvasive imaging tool to predict the long-term motor outcomes after birth, based on the severity of white matter injury. Disrupted white matter connectivity as a novel neonatal marker achieves high accuracy of 89-99% to predict 2-year motor outcomes using conventional machine-learning classification. The proposed neonatal marker may allow better prognostication that is important to elucidate neural repair mechanisms and evaluate treatment modalities in neonatal encephalopathy.
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13
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Kelly C, Dhollander T, Harding IH, Khan W, Beare R, Cheong JL, Doyle LW, Seal M, Thompson DK, Inder TE, Anderson PJ. Brain tissue microstructural and free-water composition 13 years after very preterm birth. Neuroimage 2022; 254:119168. [PMID: 35367651 DOI: 10.1016/j.neuroimage.2022.119168] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/27/2022] [Accepted: 03/30/2022] [Indexed: 12/20/2022] Open
Abstract
There have been many studies demonstrating children born very preterm exhibit brain white matter microstructural alterations, which have been related to neurodevelopmental difficulties. These prior studies have often been based on diffusion MRI modelling and analysis techniques, which commonly focussed on white matter microstructural properties in very preterm-born children. However, there have been relatively fewer studies investigating the free-water content of the white matter, and also the microstructure and free-water content of the cortical grey matter, in very preterm-born children. These biophysical properties of the brain change rapidly during fetal and neonatal brain development, and therefore such properties are likely also adversely affected by very preterm birth. In this study, we investigated the relationship of very preterm birth (<30 weeks' gestation) to both white matter and cortical grey matter microstructure and free-water content in childhood using advanced diffusion MRI analyses. A total of 130 very preterm participants and 45 full-term control participants underwent diffusion MRI at age 13 years. Diffusion tissue signal fractions derived by Single-Shell 3-Tissue Constrained Spherical Deconvolution were used to investigate brain tissue microstructural and free-water composition. The tissue microstructural and free-water composition metrics were analysed using a bespoke voxel-based analysis and cortical region-of-interest analysis approach. Very preterm 13-year-olds exhibited reduced white matter microstructural density and increased free-water content across widespread regions of the white matter compared with controls. Additionally, very preterm 13-year-olds exhibited reduced microstructural density and increased free-water content in specific temporal, sensorimotor, occipital and cingulate cortical regions. These brain tissue composition alterations were strongly associated with cerebral white matter abnormalities identified in the neonatal period, and concurrent adverse cognitive and motor outcomes in very preterm children. The findings demonstrate brain microstructural and free-water alterations up to thirteen years from neonatal brain abnormalities in very preterm children that relate to adverse neurodevelopmental outcomes.
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Affiliation(s)
- Claire Kelly
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Victorian Infant Brain Studies (VIBeS), Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia.
| | - Thijs Dhollander
- Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia; Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Wasim Khan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Richard Beare
- Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Jeanie Ly Cheong
- Victorian Infant Brain Studies (VIBeS), Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia
| | - Lex W Doyle
- Victorian Infant Brain Studies (VIBeS), Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Marc Seal
- Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Deanne K Thompson
- Victorian Infant Brain Studies (VIBeS), Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter J Anderson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Victorian Infant Brain Studies (VIBeS), Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
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14
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Thompson DK, Yang JYM, Chen J, Kelly CE, Adamson CL, Alexander B, Gilchrist C, Matthews LG, Lee KJ, Hunt RW, Cheong JLY, Spencer-Smith M, Neil JJ, Seal ML, Inder TE, Doyle LW, Anderson PJ. Brain White Matter Development Over the First 13 Years in Very Preterm and Typically Developing Children Based on the T 1-w/ T 2-w Ratio. Neurology 2022; 98:e924-e937. [PMID: 34937788 PMCID: PMC8901175 DOI: 10.1212/wnl.0000000000013250] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 12/13/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To investigate brain regional white matter development in full-term (FT) and very preterm (VP) children at term equivalent and 7 and 13 years of age based on the ratio of T 1- and T 2-weighted MRI (T 1-w/T 2-w), including (1) whether longitudinal changes differ between birth groups or sexes, (2) associations with perinatal risk factors in VP children, and (3) relationships with neurodevelopmental outcomes at 13 years. METHODS Prospective longitudinal cohort study of VP (born <30 weeks' gestation or <1,250 g) and FT infants born between 2001 and 2004 and followed up at term equivalent and 7 and 13 years of age, including MRI studies and neurodevelopmental assessments. T 1-w/T 2-w images were parcellated into 48 white matter regions of interest. RESULTS Of 224 VP participants and 76 FT participants, 197 VP and 55 FT participants had useable T 1-w/T 2-w data from at least one timepoint. T 1-w/T 2-w values increased between term equivalent and 13 years of age, with little evidence that longitudinal changes varied between birth groups or sexes. VP birth, neonatal brain abnormalities, being small for gestational age, and postnatal infection were associated with reduced regional T 1-w/T 2-w values in childhood and adolescence. Increased T 1-w/T 2-w values across the white matter at 13 years were associated with better motor and working memory function for all children. Within the FT group only, larger increases in T 1-w/T 2-w values from term equivalent to 7 years were associated with poorer attention and executive function, and higher T 1-w/T 2-w values at 7 years were associated with poorer mathematics performance. DISCUSSION VP birth and multiple known perinatal risk factors are associated with long-term reductions in the T 1-w/T 2-w ratio in white matter regions in childhood and adolescence, which may relate to alterations in microstructure and myelin content. Increased T 1-w/T 2-w ratio at 13 years appeared to be associated with better motor and working memory function and there appeared to be developmental differences between VP and FT children in the associations for attention, executive functioning, and mathematics performance.
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Affiliation(s)
- Deanne K Thompson
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia.
| | - Joseph Y M Yang
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Jian Chen
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Claire E Kelly
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Christopher L Adamson
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Bonnie Alexander
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Courtney Gilchrist
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Lillian G Matthews
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Katherine J Lee
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Rodney W Hunt
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Jeanie L Y Cheong
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Megan Spencer-Smith
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Jeffrey J Neil
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Marc L Seal
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Terrie E Inder
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Lex W Doyle
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
| | - Peter J Anderson
- From the Victorian Infant Brain Study (VIBeS) (D.T., C.K.), Developmental Imaging (J. Chen, C.L.A., M.S.), and Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute; Department of Neurosurgery (J.Y.-M.Y., B.A.) and Neonatal Medicine (R.H.), The Royal Children's Hospital, Parkville; Neurodevelopment in Health and Disease Program (C.G.), School of Health and Biomedical Sciences, RMIT University, Bundoora; Turner Institute for Brain and Mental Health (L.M., M.S.-S., P.A.), Monash University, Clayton; Neonatal Services (J. Cheong), The Royal Women's Hospital, Parkville, Melbourne, Australia; Department of Pediatric Neurology (J.N.), Washington University School of Medicine, St. Louis, MO; Department of Pediatric Newborn Medicine (T.I.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and Department of Obstetrics and Gynaecology (L.D.), The University of Melbourne, Parkville, Australia
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15
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Kanel D, Vanes LD, Ball G, Hadaya L, Falconer S, Counsell SJ, Edwards AD, Nosarti C. OUP accepted manuscript. Brain Commun 2022; 4:fcac009. [PMID: 35178519 PMCID: PMC8846580 DOI: 10.1093/braincomms/fcac009] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/04/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Very preterm children are more likely to exhibit difficulties in socio-emotional processing than their term-born peers. Emerging socio-emotional problems may be partly due to alterations in limbic system development associated with infants’ early transition to extrauterine life. The amygdala is a key structure in this system and plays a critical role in various aspects of socio-emotional development, including emotion regulation. The current study tested the hypothesis that amygdala resting-state functional connectivity at term-equivalent age would be associated with socio-emotional outcomes in childhood. Participants were 129 very preterm infants (<33 weeks' gestation) who underwent resting-state functional MRI at term and received a neurodevelopmental assessment at 4–7 years (median = 4.64). Using the left and right amygdalae as seed regions, we investigated associations between whole-brain seed-based functional connectivity and three socio-emotional outcome factors which were derived using exploratory factor analysis (Emotion Moderation, Social Function and Empathy), controlling for sex, neonatal sickness, post-menstrual age at scan and social risk. Childhood Emotion Moderation scores were significantly associated with neonatal resting-state functional connectivity of the right amygdala with right parahippocampal gyrus and right middle occipital gyrus, as well as with functional connectivity of the left amygdala with the right thalamus. No significant associations were found between amygdalar resting-state functional connectivity and either Social Function or Empathy scores. The current findings show that amygdalar functional connectivity assessed at term is associated with later socio-emotional outcomes in very preterm children.
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Affiliation(s)
- Dana Kanel
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Lucy D. Vanes
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Gareth Ball
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Laila Hadaya
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Shona Falconer
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering & Imaging Sciences, King’s College London, London, UK
| | | | - Chiara Nosarti
- Correspondence to: Chiara Nosarti Centre for the Developing Brain School of Bioengineering and Imaging Sciences King’s College London and Evelina Children’s Hospital London SE1 7EH, UK E-mail:
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16
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Kelly C, Ball G, Matthews LG, Cheong JL, Doyle LW, Inder TE, Thompson DK, Anderson PJ. Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework. Neuroimage 2021; 247:118828. [PMID: 34923131 DOI: 10.1016/j.neuroimage.2021.118828] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 11/15/2021] [Accepted: 12/15/2021] [Indexed: 11/29/2022] Open
Abstract
Very preterm (VP) birth is associated with an increased risk for later neurodevelopmental and behavioural challenges. Although the neurobiological underpinnings of such challenges continue to be explored, previous studies have reported brain volume and morphology alterations in children and adolescents born VP compared with full-term (FT)-born controls. How these alterations relate to the trajectory of brain maturation, with potential implications for later brain ageing, remains unclear. In this longitudinal study, we investigate the relationship between VP birth and brain development during childhood and adolescence. We construct a normative 'brain age' model to predict age over childhood and adolescence based on measures of brain cortical and subcortical volumes and cortical morphology from structural MRI of a dataset of typically developing children aged 3-21 years (n = 768). Using this model, we examined deviations from normative brain development in a separate dataset of children and adolescents born VP (<30 weeks' gestation) at two timepoints (ages 7 and 13 years) compared with FT-born controls (120 VP and 29 FT children at age 7 years; 140 VP and 47 FT children at age 13 years). Brain age delta (brain-predicted age minus chronological age) was, on average, higher in the VP group at both timepoints compared with controls, however this difference had a small to medium effect size and was not statistically significant. Variance in brain age delta was higher in the VP group compared with controls; this difference was significant at the 13-year timepoint. Within the VP group, there was little evidence of associations between brain age delta and perinatal risk factors or cognitive and motor outcomes. Under the brain age framework, our results may suggest that children and adolescents born VP have similar brain structural developmental trajectories to term-born peers between 7 and 13 years of age.
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Affiliation(s)
- Claire Kelly
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia.
| | - Gareth Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Lillian G Matthews
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Jeanie Ly Cheong
- Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia
| | - Lex W Doyle
- Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Deanne K Thompson
- Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Peter J Anderson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia
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17
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Kvanta H, Bolk J, Strindberg M, Jiménez-Espinoza C, Broström L, Padilla N, Ådén U. Exploring the distribution of grey and white matter brain volumes in extremely preterm children, using magnetic resonance imaging at term age and at 10 years of age. PLoS One 2021; 16:e0259717. [PMID: 34739529 PMCID: PMC8570467 DOI: 10.1371/journal.pone.0259717] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
Objectives To investigate differences in brain volumes between children born extremely preterm and term born controls at term age and at 10 years of age. Study design Children born extremely preterm (EPT), up to 26 weeks and 6 days gestational age, in Stockholm between January 1 2004 to March 31 2007 were included in this population-based cohort study. A total of 45 EPT infants were included at term age and 51 EPT children were included at 10 years of age. There were 27 EPT children included at both time points. Two different control groups were recruited; 15 control infants were included at term age and 38 control children at 10 years of age. The primary outcomes were the grey and white matter volumes. Linear regression, adjusted for intracranial volume and sex, was used. Results At term age, the extremely preterm infants had significantly smaller grey matter volume compared to the control infants with an adjusted mean difference of 5.0 cm3 and a 95% confidence interval of −8.4 to −1.5 (p = 0.004). At 10 years of age the extremely preterm children had significantly smaller white matter volume compared to the control children with an adjusted mean difference of 6.0 cm3 and a 95% confidence interval of −10.9 to −1.0 (p = 0.010). Conclusion Extremely preterm birth was associated with reduced grey matter volume at term age and reduced white matter volume at 10 years of age compared to term born controls.
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Affiliation(s)
- Hedvig Kvanta
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
- * E-mail:
| | - Jenny Bolk
- Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, South General Hospital, Stockholm, Sweden
| | - Marika Strindberg
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
| | - Carmen Jiménez-Espinoza
- Faculty of Health Sciences, Department of Basic Medical Sciences, Physiology Section, University of La Laguna, Tenerife, Spain
| | - Lina Broström
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, South General Hospital, Stockholm, Sweden
| | - Nelly Padilla
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
| | - Ulrika Ådén
- Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
- Department of Neonatology, Karolinska University Hospital, Stockholm, Sweden
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18
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Frewer V, Gilchrist CP, Collins SE, Williams K, Seal ML, Leventer RJ, Amor DJ. A systematic review of brain MRI findings in monogenic disorders strongly associated with autism spectrum disorder. J Child Psychol Psychiatry 2021; 62:1339-1352. [PMID: 34426966 DOI: 10.1111/jcpp.13510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/06/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Research on monogenic forms of autism spectrum disorder (autism) can inform our understanding of genetic contributions to the autism phenotype; yet, there is much to be learned about the pathways from gene to brain structure to behavior. This systematic review summarizes and evaluates research on brain magnetic resonance imaging (MRI) findings in monogenic conditions that have strong association with autism. This will improve understanding of the impact of genetic variability on brain structure and related behavioral traits in autism. METHODS The search strategy for this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias (ROB) assessment was completed on included studies using the Newcastle-Ottawa Scales. RESULTS Of 4,287 studies screened, 69 were included pertaining to 13 of the top 20 genes with the strongest association with autism. The greatest number of studies related to individuals with PTEN variants and autism. Brain MRI abnormalities were reported for 12 of the 13 genes studied, and in 51.7% of participants across all 13 genes, including 100% of participants with ARID1B variants. Specific MRI findings were highly variable, with no clear patterns emerging within or between the 13 genes, although white matter abnormalities were the most common. Few studies reported specific details about methods for acquisition and processing of brain MRI, and descriptors for brain abnormalities were variable. ROB assessment indicated high ROB for all studies, largely due to small sample sizes and lack of comparison groups. CONCLUSIONS Brain abnormalities are common in this population of individuals, in particular, children; however, a range of different brain abnormalities were reported within and between genes. Directions for future neuroimaging research in monogenic autism are suggested.
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Affiliation(s)
- Veronica Frewer
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Vic., Australia
| | - Courtney P Gilchrist
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,Neurodevelopment in Health and Disease, RMIT University, Bundoora, Vic., Australia
| | - Simonne E Collins
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,School of Psychological Sciences, Turner Institute for Brain & Mental Health, Monash University, Melbourne, Vic., Australia
| | - Katrina Williams
- Monash University, Melbourne, Vic., Australia.,Monash Children's Hospital, Melbourne, Vic., Australia
| | - Marc L Seal
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Vic., Australia
| | - Richard J Leventer
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Vic., Australia.,Royal Children's Hospital, Parkville, Vic., Australia
| | - David J Amor
- Murdoch Children's Research Institute, Parkville, Vic., Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Vic., Australia.,Royal Children's Hospital, Parkville, Vic., Australia
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19
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The structural connectome and internalizing and externalizing symptoms at 7 and 13 years in individuals born very preterm and full-term. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 7:424-434. [PMID: 34655805 DOI: 10.1016/j.bpsc.2021.10.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/15/2021] [Accepted: 10/04/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Children born very preterm (VP) are at higher risk of emotional and behavioral problems compared with full-term (FT) children. We investigated the neurobiological basis of internalizing and externalizing symptoms in individuals born VP and FT by applying a graph theory approach. METHODS Structural and diffusion MRI data were combined to generate structural connectomes and calculate measures of network integration and segregation at 7 (VP:72; FT:17) and 13 years (VP:125; FT:44). Internalizing and externalizing were assessed at 7 and 13 years using the Strengths and Difficulties Questionnaire. Linear regression models were used to relate network measures and internalizing and externalizing symptoms concurrently at 7 and 13 years. RESULTS Lower network integration (characteristic path length and global efficiency) was associated with higher internalizing symptoms in VP and FT children at 7 years, but not at 13 years. The association between network integration (characteristic path length) and externalizing symptoms at 7 years was weaker, but there was some evidence for differential associations between groups, with lower integration in the VP and higher integration in the FT group associated with higher externalizing symptoms. At 13 years, there was some evidence that associations between network segregation (average clustering coefficient, transitivity, local efficiency) and externalizing differed between the VP and FT groups, with stronger positive associations in the VP group. CONCLUSIONS This study provides insights into the neurobiological basis of emotional and behavioral problems following preterm birth, highlighting the role of the structural connectome in internalizing and externalizing symptoms in childhood and adolescence.
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20
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Collins SE, Thompson DK, Kelly CE, Yang JYM, Pascoe L, Inder TE, Doyle LW, Cheong JLY, Burnett AC, Anderson PJ. Development of brain white matter and math computation ability in children born very preterm and full-term. Dev Cogn Neurosci 2021; 51:100987. [PMID: 34273749 PMCID: PMC8319459 DOI: 10.1016/j.dcn.2021.100987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 07/07/2021] [Accepted: 07/11/2021] [Indexed: 11/08/2022] Open
Abstract
Children born very preterm (VPT; <32 weeks' gestation) have alterations in brain white matter and poorer math ability than full-term (FT) peers. Diffusion-weighted magnetic resonance imaging studies suggest a link between white matter microstructure and math in VPT and FT children, although longitudinal studies using advanced modelling are lacking. In a prospective longitudinal cohort of VPT and FT children we used Fixel-Based Analysis to investigate associations between maturation of white matter fibre density (FD), fibre-bundle cross-section (FC), and combined fibre density and cross-section (FDC) and math computation ability at 7 (n = 136 VPT; n = 32 FT) and 13 (n = 130 VPT; n = 44 FT) years, as well as between change in white matter and math computation ability from 7 to 13 years (n = 103 VPT; n = 21 FT). In both VPT and FT children, higher FD, FC and FDC in visual, sensorimotor and cortico-thalamic/thalamo-cortical white matter tracts were associated with better math computation ability at 7 and 13 years. Longitudinally, accelerated maturation of the posterior body of the corpus callosum (FDC) was associated with greater math computation development. White matter-math associations were similar for VPT and FT children. In conclusion, white matter maturation is associated with math computation ability across late childhood, irrespective of birth group.
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Affiliation(s)
- Simonne E Collins
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia.
| | - Deanne K Thompson
- Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Claire E Kelly
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | - Joseph Y M Yang
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Neuroscience Advanced Clinical Imaging Suite (NACIS), Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia; Neuroscience Research, Murdoch Children's Research Institute, Melbourne, Australia
| | - Leona Pascoe
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia
| | - Terrie E Inder
- Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Lex W Doyle
- Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia
| | - Jeanie L Y Cheong
- Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Newborn Research, The Royal Women's Hospital, Melbourne, Australia; Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia
| | - Alice C Burnett
- Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, Australia; Premature Infant Follow-Up Program, Royal Women's Hospital, Melbourne, Australia; Neonatal Medicine, Royal Children's Hospital, Melbourne, Australia
| | - Peter J Anderson
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia; Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia.
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21
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Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities. Neuroimage 2021; 241:118417. [PMID: 34298083 DOI: 10.1016/j.neuroimage.2021.118417] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 07/11/2021] [Accepted: 07/20/2021] [Indexed: 12/13/2022] Open
Abstract
Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude smaller than typical voxel sizes. The key to extracting such valuable information lies in complex modelling techniques, which form the link between the rich diffusion MRI data and various metrics related to the microstructural organization. Over time, increasingly advanced techniques have been developed, up to the point where some diffusion MRI models can now provide access to properties specific to individual fibre populations in each voxel in the presence of multiple "crossing" fibre pathways. While highly valuable, such fibre-specific information poses unique challenges for typical image processing pipelines and statistical analysis. In this work, we review the "Fixel-Based Analysis" (FBA) framework, which implements bespoke solutions to this end. It has recently seen a stark increase in adoption for studies of both typical (healthy) populations as well as a wide range of clinical populations. We describe the main concepts related to Fixel-Based Analyses, as well as the methods and specific steps involved in a state-of-the-art FBA pipeline, with a focus on providing researchers with practical advice on how to interpret results. We also include an overview of the scope of all current FBA studies, categorized across a broad range of neuro-scientific domains, listing key design choices and summarizing their main results and conclusions. Finally, we critically discuss several aspects and challenges involved with the FBA framework, and outline some directions and future opportunities.
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Menegaux A, Hedderich DM, Bäuml JG, Manoliu A, Daamen M, Berg RC, Preibisch C, Zimmer C, Boecker H, Bartmann P, Wolke D, Sorg C, Stämpfli P. Reduced apparent fiber density in the white matter of premature-born adults. Sci Rep 2020; 10:17214. [PMID: 33057208 PMCID: PMC7560721 DOI: 10.1038/s41598-020-73717-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 09/21/2020] [Indexed: 12/13/2022] Open
Abstract
Premature-born adults exhibit lasting white matter alterations as demonstrated by widespread reduction in fractional anisotropy (FA) based on diffusion-weighted imaging (DWI). FA reduction, however, is non-specific for microscopic underpinnings such as aberrant myelination or fiber density (FD). Using recent advances in DWI, we tested the hypothesis of reduced FD in premature-born adults and investigated its link with the degree of prematurity and cognition. 73 premature- and 89 mature-born adults aged 25-27 years underwent single-shell DWI, from which a FD measure was derived using convex optimization modeling for microstructure informed tractography (COMMIT). Premature-born adults exhibited lower FD in numerous tracts including the corpus callosum and corona radiata compared to mature-born adults. These FD alterations were associated with both the degree of prematurity, as assessed via gestational age and birth weight, as well as with reduced cognition as measured by full-scale IQ. Finally, lower FD overlapped with lower FA, suggesting lower FD underlie unspecific FA reductions. Results provide evidence that premature birth leads to lower FD in adulthood which links with lower full-scale IQ. Data suggest that lower FD partly underpins FA reductions of premature birth but that other processes such as hypomyelination might also take place.
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Affiliation(s)
- Aurore Menegaux
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany. .,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.
| | - Dennis M Hedderich
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Josef G Bäuml
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Andrei Manoliu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.,Wellcome Centre for Human Neuroimaging, University College London, London, UK.,Centre for Computational Psychiatry and Ageing Research, Max Planck University College London, London, UK
| | - Marcel Daamen
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany.,Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Ronja C Berg
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christine Preibisch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
| | - Christian Sorg
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,TUM Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry, School of Medicine, Technical University of Munich, Munich, Germany
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland.,MR-Center of the Department of Psychiatry, Psychotherapy, and Psychosomatics and the Department of Child and Adolescent Psychiatry, Psychiatric Hospital of the University of Zurich, University of Zurich, Zurich, Switzerland
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