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Kvanta H, Bolk J, Broström L, Fernández de Gamarra-Oca L, Padilla N, Ådén U. Extreme prematurity and perinatal risk factors related to extremely preterm birth are associated with complex patterns of regional brain volume alterations at 10 years of age: a voxel-based morphometry study. Front Neurol 2023; 14:1148781. [PMID: 37273719 PMCID: PMC10235462 DOI: 10.3389/fneur.2023.1148781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/28/2023] [Indexed: 06/06/2023] Open
Abstract
Objective Structural brain volumetric differences have been investigated previously in very preterm children. However, children born extremely preterm, at the border of viability, have been studied to a lesser degree. Our group previously analyzed children born extremely preterm at term using voxel-based morphometry. In this study, we aimed to examine regional gray and white matter differences for children born extremely preterm derived from the same cohort during childhood. We also aimed to explore the effect of perinatal risk factors on brain volumes in the same group. Methods At 10 years of age, 51 children born extremely preterm (before 27 weeks and 0 days) and 38 term-born controls with high-quality 3.0 Tesla magnetic resonance images were included. Statistical analyses using voxel-based morphometry were conducted on images that were normalized using age-specific templates, modulated, and smoothed. Analyses were also performed in stratified groups of children born extremely preterm in the absence or presence of perinatal risk factors that have previously been shown to be associated with volumetric differences at term. Results We found volumetric decreases in gray and white matter in the temporal lobes, gray matter decreases in the precuneus gyri, and white matter decreases in the anterior cingulum for children born extremely preterm (all p < 0.001, and pfwe < 0.05). Gray and white matter increases were predominantly observed in the right posterior cingulum and occipital lobe (all p < 0.001, and pfwe < 0.05). Of the examined perinatal risk factors, intraventricular hemorrhage grades I-II compared with no intraventricular hemorrhage and patent ductus arteriosus ligation compared with no treated patent ductus arteriosus or patent ductus arteriosus treated with ibuprofen led to volumetric differences at 10 years of age (all p < 0.001, and pfwe < 0.05). Conclusions Children born extremely preterm exhibit volumetric alterations in a pattern overlapping that previously found at term, where many regions with differences are the main hubs of higher order networks. Some, but not all, risk factors known to be associated with structural alterations at term were associated with alterations at 10 years of age.
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Affiliation(s)
- Hedvig Kvanta
- Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Jenny Bolk
- Clinical Epidemiology Division, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Lina Broström
- Department of Women's and Children's Health, Karolinska Institute, 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
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2
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Taylor RL, Rogers CE, Smyser CD, Barch DM. Associations Between Preterm Birth, Inhibitory Control-Implicated Brain Regions and Tracts, and Inhibitory Control Task Performance in Children: Consideration of Socioeconomic Context. Child Psychiatry Hum Dev 2023:10.1007/s10578-023-01531-y. [PMID: 37119410 PMCID: PMC10949152 DOI: 10.1007/s10578-023-01531-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/29/2023] [Indexed: 05/01/2023]
Abstract
Preterm birth (PTB) is associated with increased risk for unfavorable outcomes such as deficits in attentional control and related brain structure alterations. Crucially, PTB is more likely to occur within the context of poverty. The current study examined associations between PTB and inhibitory control (IC) implicated brain regions/tracts and task performance, as well as the moderating role of early life poverty on the relation between PTB and IC-implicated regions/tracts/task performance. 2,899 children from the ABCD study were sampled for this study. Mixed effects models examined the relation between PTB and subsequent IC performance as well as prefrontal gray matter volume, white matter fractional anisotropy (FA), and mean diffusivity (MD). Household income was examined as a moderator. PTB was significantly associated with less improvement in IC task performance over time and decreased FA in left uncinate fasciculus (UF) and cingulum bundle (CB). Early life poverty moderated the relation between PTB and both CB FA and UF MD.
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Affiliation(s)
- Rita L Taylor
- Department of Psychological and Brain Sciences, Washington University, One Brookings Drive, Box 1125, St. Louis, MO, 63130, USA.
| | - Cynthia E Rogers
- Department of Psychiatry, Washington University, St. Louis, MO, USA
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Christopher D Smyser
- Department of Pediatrics, Washington University, St. Louis, MO, USA
- Department of Neurology, Washington University, St. Louis, MO, USA
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychological and Brain Sciences, Washington University, One Brookings Drive, Box 1125, St. Louis, MO, 63130, USA
- Department of Psychiatry, Washington University, St. Louis, MO, USA
- Department of Radiology, Washington University, St. Louis, MO, USA
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3
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Ma Q, Wang H, Rolls ET, Xiang S, Li J, Li Y, Zhou Q, Cheng W, Li F. Lower gestational age is associated with lower cortical volume and cognitive and educational performance in adolescence. BMC Med 2022; 20:424. [PMID: 36329481 PMCID: PMC9635194 DOI: 10.1186/s12916-022-02627-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Gestational age (GA) is associated with later cognition and behavior. However, it is unclear how specific cognitive domains and brain structural development varies with the stepwise change of gestational duration. METHODS This large-scale longitudinal cohort study analyzed 11,878 early adolescents' brain volume maps at 9-10 years (baseline) and 5685 at 11-12 years (a 2-year follow-up) from the Adolescent Brain Cognitive Development (ABCD) study. According to gestational age, adolescents were divided into five categorical groups: ≤ 33 weeks, 34-35 weeks, 36 weeks, 37-39 weeks, and ≥ 40 weeks. The NIH Toolbox was used to estimate neurocognitive performance, including crystallized and fluid intelligence, which was measured for 11,878 adolescents at baseline with crystallized intelligence and relevant subscales obtained at 2-year follow-up (with participant numbers ranging from 6185 to 6310 depending on the cognitive domain). An additional large population-based cohort of 618,070 middle adolescents at ninth-grade (15-16 years) from the Danish national register was utilized to validate the association between gestational age and academic achievements. A linear mixed model was used to examine the group differences between gestational age and neurocognitive performance, school achievements, and grey matter volume. A mediation analysis was performed to examine whether brain structural volumes mediated the association between GA and neurocognition, followed with a longitudinal analysis to track the changes. RESULTS Significant group differences were found in all neurocognitive scores, school achievements, and twenty-five cortical regional volumes (P < 0.05, Bonferroni corrected). Specifically, lower gestational ages were associated with graded lower cognition and school achievements and with smaller brain volumes of the fronto-parieto-temporal, fusiform, cingulate, insula, postcentral, hippocampal, thalamic, and pallidal regions. These lower brain volumes mediated the association between gestational age and cognitive function (P = 1 × 10-8, β = 0.017, 95% CI: 0.007-0.028). Longitudinal analysis showed that compared to full term adolescents, preterm adolescents still had smaller brain volumes and crystallized intelligence scores at 11-12 years. CONCLUSIONS These results emphasize the relationships between gestational age at birth and adolescents' lower brain volume, and lower cognitive and educational performance, measured many years later when 9-10 and 11-12 years old. The study indicates the importance of early screening and close follow-up for neurocognitive and behavioral development for children and adolescents born with gestational ages that are even a little lower than full term.
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Affiliation(s)
- Qing Ma
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, 200433, China
| | - Hui Wang
- Department of Developmental and Behavioral Pediatric & Child Primary Care/MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200082, China
| | - Edmund T Rolls
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China.,Department of Computer Science, University of Warwick, Coventry CV4 7AL, Conventry, UK.,Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Shitong Xiang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, 200433, China
| | - Jiong Li
- Department of Clinical Medicine, Aarhus University, Aarhus, 8000, Denmark
| | - Yuzhu Li
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, 200433, China
| | - Qiongjie Zhou
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, 200011, China
| | - Wei Cheng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200433, China. .,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, 200433, China. .,Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, 321004, China. .,Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, 200032, China.
| | - Fei Li
- Department of Developmental and Behavioral Pediatric & Child Primary Care/MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200082, China.
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4
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Scheeren MFDC, Fiori HH, Machado LU, Volkmer DDFV, Oliveira MGD. Exact Gestational Age, Term Versus Early Term, Is Associated with Different Breastfeeding Success Rates in Mothers Delivered by Elective Cesarean Section. Breastfeed Med 2022; 17:825-831. [PMID: 36103275 DOI: 10.1089/bfm.2022.0068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives: The study was intended to verify the association between the gestational age of newborns classified as term and the success of breastfeeding in babies born by elective cesarean section. Also, to analyze how the variability of gestational age within the term influences breastfeeding. Materials and Methods: Retrospective study of a cohort, which included full-term newborns and their mothers, whose deliveries occurred by elective cesarean section. Among the inclusion criteria are delivery due to elective cesarean section and minimum gestational age of 37 weeks. The database consisted of medical birth information and interviews with mothers. Results: This study included 954 full-term newborns born by elective cesarean section. Exclusive breastfeeding at 3 months and being breastfed at 6 months showed a statistically significant association in the correlation with the variability of gestational age. There was a statistically significant association between exclusive breastfeeding at 3 months and breastfeeding at 6 months in the correlation between early term and full term. The trend test showed a significant progressive in the breastfeeding curve versus gestational age. Conclusion: Full-term newborns show better results of exclusive breastfeeding at 3 months and continued breastfeeding at 6 months, compared with those born at early term. Gestational age, even in term, has an influence on the success of breastfeeding in newborns undergoing elective cesarean delivery.
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Affiliation(s)
- Marôla Flores da Cunha Scheeren
- Moinhos de Vento Hospital, Porto Alegre, Brazil.,Department of Pediatrics and Children's Health, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Humberto Holmer Fiori
- Department of Pediatrics and Children's Health, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
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Brosch K, Stein F, Schmitt S, Pfarr JK, Ringwald KG, Thomas-Odenthal F, Meller T, Steinsträter O, Waltemate L, Lemke H, Meinert S, Winter A, Breuer F, Thiel K, Grotegerd D, Hahn T, Jansen A, Dannlowski U, Krug A, Nenadić I, Kircher T. Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders. Mol Psychiatry 2022; 27:4234-4243. [PMID: 35840798 PMCID: PMC9718668 DOI: 10.1038/s41380-022-01687-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 02/07/2023]
Abstract
Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD, schizophrenia, and schizoaffective disorder) overlap in symptomatology, risk factors, genetics, and other biological measures. Based on previous findings, it remains unclear what transdiagnostic regional gray matter volume (GMV) alterations exist across these disorders, and with which factors they are associated. GMV (3-T magnetic resonance imaging) was compared between healthy controls (HC; n = 110), DSM-IV-TR diagnosed MDD (n = 110), BD (n = 110), and SSD patients (n = 110), matched for age and sex. We applied a conjunction analysis to identify shared GMV alterations across the disorders. To identify potential origins of identified GMV clusters, we associated them with early and current risk and protective factors, psychopathology, and neuropsychology, applying multiple regression models. Common to all diagnoses (vs. HC), we identified GMV reductions in the left hippocampus. This cluster was associated with the neuropsychology factor working memory/executive functioning, stressful life events, and with global assessment of functioning. Differential effects between groups were present in the left and right frontal operculae and left insula, with volume variances across groups highly overlapping. Our study is the first with a large, matched, transdiagnostic sample to yield shared GMV alterations in the left hippocampus across major mental disorders. The hippocampus is a major network hub, orchestrating a range of mental functions. Our findings underscore the need for a novel stratification of mental disorders, other than categorical diagnoses.
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Affiliation(s)
- Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany. .,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Simon Schmitt
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10423.340000 0000 9529 9877Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Kai G. Ringwald
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Florian Thomas-Odenthal
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Olaf Steinsträter
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Lena Waltemate
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.5949.10000 0001 2172 9288Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Alexandra Winter
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
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6
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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
| | - 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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7
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Vanes LD, Hadaya L, Kanel D, Falconer S, Ball G, Batalle D, Counsell SJ, Edwards AD, Nosarti C. Associations Between Neonatal Brain Structure, the Home Environment, and Childhood Outcomes Following Very Preterm Birth. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 1:146-155. [PMID: 34471914 PMCID: PMC8367847 DOI: 10.1016/j.bpsgos.2021.05.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/16/2021] [Accepted: 05/06/2021] [Indexed: 12/31/2022] Open
Abstract
Background Very preterm birth is associated with an increased risk of childhood psychopathology and cognitive deficits. However, the extent to which these developmental problems associated with preterm birth are amenable to environmental factors or determined by neurobiology at birth remains unclear. Methods We derived neonatal brain structural covariance networks using non-negative matrix factorization in 384 very preterm infants (median gestational age [range], 30.29 [23.57–32.86] weeks) who underwent magnetic resonance imaging at term-equivalent age (median postmenstrual age, 42.57 [37.86–44.86] weeks). Principal component analysis was performed on 32 behavioral and cognitive measures assessed at preschool age (n = 206; median age, 4.65 [4.19–7.17] years) to identify components of childhood psychopathology and cognition. The Cognitively Stimulating Parenting Scale assessed the level of cognitively stimulating experiences available to the child at home. Results Cognitively stimulating parenting was associated with reduced expression of a component reflecting developmental psychopathology and executive dysfunction consistent with the preterm phenotype (inattention-hyperactivity, autism spectrum behaviors, and lower executive function scores). In contrast, a component reflecting better general cognitive abilities was associated with larger neonatal gray matter volume in regions centered on key nodes of the salience network, but not with cognitively stimulating parenting. Conclusions Our results suggest that while neonatal brain structure likely influences cognitive abilities in very preterm children, the severity of behavioral symptoms that are typically observed in these children is sensitive to a cognitively stimulating home environment. Very preterm children may derive meaningful mental health benefits from access to cognitively stimulating experiences during childhood.
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Affiliation(s)
- Lucy D. Vanes
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Address correspondence to Lucy D. Vanes, Ph.D.
| | - Laila Hadaya
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Dana Kanel
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Shona Falconer
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Gareth Ball
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Developmental Imaging, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - A. David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
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8
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Schmitz-Koep B, Haller B, Coupé P, Menegaux A, Gaser C, Zimmer C, Wolke D, Bartmann P, Sorg C, Hedderich DM. Grey and White Matter Volume Changes after Preterm Birth: A Meta-Analytic Approach. J Pers Med 2021; 11:jpm11090868. [PMID: 34575645 PMCID: PMC8468941 DOI: 10.3390/jpm11090868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 11/29/2022] Open
Abstract
Cross-sectional studies have reported lower brain grey matter volumes (GMV) and white matter volumes (WMV) in preterm (PT) born individuals. While large MRI studies in the normative population have led to a better understanding of brain growth trajectories across the lifespan, such results remain elusive for PT born individuals since large, aggregated datasets of PT born individuals do not exist. To close this gap, we investigated GMV and WMV in PT born individuals as reported in the literature and contrasted it against individual volumetric data and trajectories from the general population. Systematic database search of PubMed and Web of Science in March 2021, and extraction of outcome measures were conducted by two independent reviewers. Individual data on full-term (FT) controls was extracted from freely available databases. Mean GMV, WMV, total intracranial volume (TIV), and mean age at scan were the main outcome measures. Of 532 identified records, nine studies were included with 538 PT born subjects between 1.1 and 28.5 years of age. Reference data was generated from 880 FT controls between 1 and 30 years of age. GMV was consistently lower in PT born individuals from infancy to early adulthood with no evidence for catch-up growth. While GMV changes followed a similar trajectory as FT controls, WMV was particularly low in adolescence after PT birth. Results demonstrate altered brain volumes after PT birth across the first half of lifespan. Future studies should address this issue in large aggregated datasets of PT born individuals.
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Affiliation(s)
- Benita Schmitz-Koep
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany; (A.M.); (C.Z.); (C.S.); (D.M.H.)
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
- Correspondence:
| | - Bernhard Haller
- Institute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany;
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique (LaBRI) UMR 5800, CNRS, Bordeaux INP, University of Bordeaux, F-33400 Talence, France;
| | - Aurore Menegaux
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany; (A.M.); (C.Z.); (C.S.); (D.M.H.)
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Christian Gaser
- Department of Psychiatry, University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany;
- Department of Neurology, University Hospital Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Claus Zimmer
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany; (A.M.); (C.Z.); (C.S.); (D.M.H.)
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, University Road, Coventry CV4 7AL, UK;
- Warwick Medical School, University of Warwick, University Road, Coventry CV4 7AL, UK
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany;
| | - Christian Sorg
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany; (A.M.); (C.Z.); (C.S.); (D.M.H.)
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
- Department of Psychiatry, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Dennis M. Hedderich
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany; (A.M.); (C.Z.); (C.S.); (D.M.H.)
- TUM-NIC Neuroimaging Center, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
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9
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Dubois M, Legouhy A, Corouge I, Commowick O, Morel B, Pladys P, Ferré JC, Barillot C, Proisy M. Multiparametric Analysis of Cerebral Development in Preterm Infants Using Magnetic Resonance Imaging. Front Neurosci 2021; 15:658002. [PMID: 33927592 PMCID: PMC8076519 DOI: 10.3389/fnins.2021.658002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 03/17/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives The severity of neurocognitive impairment increases with prematurity. However, its mechanisms remain poorly understood. Our aim was firstly to identify multiparametric magnetic resonance imaging (MRI) markers that differ according to the degree of prematurity, and secondly to evaluate the impact of clinical complications on these markers. Materials and Methods We prospectively enrolled preterm infants who were divided into two groups according to their degree of prematurity: extremely preterm (<28 weeks' gestational age) and very preterm (28-32 weeks' gestational age). They underwent a multiparametric brain MRI scan at term-equivalent age including morphological, diffusion tensor and arterial spin labeling (ASL) perfusion sequences. We quantified overall and regional volumes, diffusion parameters, and cerebral blood flow (CBF). We then compared the parameters for the two groups. We also assessed the effects of clinical data and potential MRI morphological abnormalities on those parameters. Results Thirty-four preterm infants were included. Extremely preterm infants (n = 13) had significantly higher frontal relative volumes (p = 0.04), frontal GM relative volumes (p = 0.03), and regional CBF than very preterm infants, but they had lower brainstem and insular relative volumes (respectively p = 0.008 and 0.04). Preterm infants with WM lesions on MRI had significantly lower overall GM CBF (13.3 ± 2 ml/100 g/min versus 17.7 ± 2.5, < ml/100 g/min p = 0.03). Conclusion Magnetic resonance imaging brain scans performed at term-equivalent age in preterm infants provide quantitative imaging parameters that differ with respect to the degree of prematurity, related to brain maturation.
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Affiliation(s)
- Marine Dubois
- Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.,Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Antoine Legouhy
- Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Isabelle Corouge
- Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Olivier Commowick
- Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Baptiste Morel
- Radiology Department, CHU Tours, Hôpital Gatien de Clocheville, Tours, France
| | - Patrick Pladys
- Pediatric Department, CHU Rennes, Hôpital Sud, Rennes, France
| | - Jean-Christophe Ferré
- Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.,Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Christian Barillot
- Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
| | - Maïa Proisy
- Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.,Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France
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10
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El Marroun H, Zou R, Leeuwenburg MF, Steegers EAP, Reiss IKM, Muetzel RL, Kushner SA, Tiemeier H. Association of Gestational Age at Birth With Brain Morphometry. JAMA Pediatr 2020; 174:1149-1158. [PMID: 32955580 PMCID: PMC7506610 DOI: 10.1001/jamapediatrics.2020.2991] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
IMPORTANCE Preterm and postterm births are associated with adverse neuropsychiatric outcomes. However, it remains unclear whether variation of gestational age within the 37- to 42-week range of term deliveries is associated with neurodevelopment. OBJECTIVE To investigate the association of gestational age at birth (GAB) with structural brain morphometry in children aged 10 years. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study included pregnant women living in Rotterdam, the Netherlands, with an expected delivery date between April 1, 2002, and January 31, 2006. The study evaluated 3079 singleton children with GAB ranging from 26.3 to 43.3 weeks and structural neuroimaging at 10 years of age from the Generation R Study, a longitudinal, population-based prospective birth cohort from early pregnancy onward in Rotterdam. Data analysis was performed from March 1, 2019, to February 28, 2020, and at the time of the revision based on reviewer suggestions. EXPOSURES The GAB was calculated based on ultrasonographic assessment of crown-rump length (<12 weeks 5 days) or biparietal diameter (≥12 weeks 5 days) in dedicated research centers. MAIN OUTCOMES AND MEASURES Brain structure, including global and regional brain volumes and surface-based cortical measures (thickness, surface area, and gyrification), was quantified by magnetic resonance imaging. RESULTS In the 3079 children (1546 [50.2%] female) evaluated at 10 years of age, GAB was linearly associated with global and regional brain volumes. Longer gestational duration was associated with larger brain volumes; for example, every 1-week-longer gestational duration corresponded to an additional 4.5 cm3/wk (95% CI, 2.7-6.3 cm3/wk) larger total brain volume. These associations persisted when the sample was restricted to children born at term (GAB of 37-42 weeks: 4.8 cm3/wk; 95% CI, 1.8-7.7 cm3/wk). No evidence of nonlinear associations between GA and brain morphometry was observed. CONCLUSIONS AND RELEVANCE In this cohort study, gestational duration was linearly associated with brain morphometry during childhood, including within the window of term delivery. These findings may have marked clinical importance, particularly given the prevalence of elective cesarean deliveries.
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Affiliation(s)
- Hanan El Marroun
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Pediatrics, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Sciences, Erasmus University, Rotterdam, the Netherlands
| | - Runyu Zou
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Michelle F. Leeuwenburg
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eric A. P. Steegers
- Department of Obstetrics and Gynaecology, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Irwin K. M. Reiss
- Department of Pediatrics, Division of Neonatology, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Ryan L. Muetzel
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Steven A. Kushner
- Department of Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam, Erasmus Medical Center, Rotterdam, the Netherlands,Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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11
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Fernandez-Baizan C, Caunedo-Jimenez M, Martinez JA, Arias JL, Mendez M, Solis G. Development of visuospatial memory in preterm infants: A new paradigm to assess short-term and working memory. Child Neuropsychol 2020; 27:296-316. [PMID: 33191857 DOI: 10.1080/09297049.2020.1847264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Preterm infants have a higher risk of showing visuospatial memory impairment, the function that allows to encode and remember visual and spatial information. It has been studied in late childhood in preterm children. Studies on visuospatial memory throughout the first 2 years of life are still scarce. Behavior, temperament, and overall cognition could be altered in preterm children affecting memory performance. Therefore, the main aim of this study was to evaluate short-term and visuospatial working memory performance in a preterm sample followed longitudinally at 12, 15, 18, and 22 months (N = 15), and compare their performance with that of full-term children (N = 65). The secondary aim was to analyze the course of mnesic development in preterm infants and relate their memory performance to other cognitive abilities and behavioral tendencies. Assessment included previously published tasks and an experimental paradigm. Results showed that preterm children scored lower than full-term children on visuospatial short-term and working memory at 12 and 22 months of age, although these results varied depending on the memory test used. Preterm children's memory results showed that these skills improve in this population between the first and second year of life. Finally, memory performance was directly associated with the level of cognitive development and the presence of proactive behaviors, while being inversely correlated with the presence of disruptive behaviors and a difficult temperamental style. These preliminary findings suggest that it is possible to detect visuospatial memory difficulties in the preterm population before the age of two.
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Affiliation(s)
- C Fernandez-Baizan
- Neuroscience Institute of Principado de Asturias (INEUROPA), University of Oviedo, Oviedo, Spain.,Department of Psychology, University of Oviedo, Oviedo, Spain
| | - M Caunedo-Jimenez
- Pediatric Clinic Area, Neonatology, University Central Hospital of Asturias, Oviedo, Spain
| | - J A Martinez
- Neuroscience Institute of Principado de Asturias (INEUROPA), University of Oviedo, Oviedo, Spain.,Department of Electronic Technology, University of Oviedo, Gijón, Spain
| | - J L Arias
- Neuroscience Institute of Principado de Asturias (INEUROPA), University of Oviedo, Oviedo, Spain.,Department of Psychology, University of Oviedo, Oviedo, Spain
| | - M Mendez
- Neuroscience Institute of Principado de Asturias (INEUROPA), University of Oviedo, Oviedo, Spain.,Department of Psychology, University of Oviedo, Oviedo, Spain
| | - G Solis
- Neuroscience Institute of Principado de Asturias (INEUROPA), University of Oviedo, Oviedo, Spain.,Pediatric Clinic Area, Neonatology, University Central Hospital of Asturias, Oviedo, Spain
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12
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Kuban KCK, Jara H, O'Shea TM, Heeren T, Joseph RM, Fichorova RN, Alshamrani K, Aakil A, Beaulieu F, Horn M, Douglass LM, Frazier JA, Hirtz D, Rollins JV, Cochran D, Paneth N. Association of Circulating Proinflammatory and Anti-inflammatory Protein Biomarkers in Extremely Preterm Born Children with Subsequent Brain Magnetic Resonance Imaging Volumes and Cognitive Function at Age 10 Years. J Pediatr 2019; 210:81-90.e3. [PMID: 31076229 PMCID: PMC7137312 DOI: 10.1016/j.jpeds.2019.03.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 03/12/2019] [Accepted: 03/12/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVES To examine elevated neonatal inflammatory and neurotrophic proteins from children born extremely preterm in relation to later childhood brain Magnetic Resonance Imaging volumes and cognition. STUDY DESIGN We measured circulating inflammation-related proteins and neurotrophic proteins on postnatal days 1, 7, and 14 in 166 children at 10 years of age (73 males; 93 females). Top quartile levels on ≥2 days for ≥3 inflammation-related proteins and for ≥4 neurotrophic proteins defined exposure. We examined associations among protein levels, brain Magnetic Resonance Imaging volumes, and cognition with multiple linear and logistic regressions. RESULTS Analyses were adjusted for gestational age at birth and sex. Children with ≥3 elevated inflammation-related proteins had smaller grey matter, brain stem/cerebellar, and total brain volumes than those without elevated inflammation-related proteins, adjusted for neurotrophic proteins. When adjusted for inflammation-related proteins, children with ≥4 neurotrophic proteins, compared with children with no neurotrophic proteins, had larger grey matter and total brain volumes. Higher grey matter, white matter, and cerebellum and brainstem volumes were significantly correlated with higher IQ. Grey and white matter volumes were correlated with each other (r = -0.18; P = .021), and cerebellum and brainstem was highly correlated with grey matter (r = 0.55; P < .001) and white matter (r = 0.29; P < .001). Adjusting for other brain compartments, cerebellum and brainstem was associated with IQ (P = .016), but the association with white matter was marginally significant (P = .051). Grey matter was not associated with IQ. After adjusting for brain volumes, elevated inflammation-related proteins remained significantly associated with a lower IQ, and elevated neurotrophic proteins remained associated with a higher IQ. CONCLUSIONS Newborn inflammatory and neurotrophin protein levels are associated with later brain volumes and cognition, but their effects on cognition are not entirely explained by altered brain volumes.
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Affiliation(s)
- Karl C K Kuban
- Division of Pediatric Neurology, Department of Pediatrics, Boston Medical Center, Boston, MA.
| | - Hernan Jara
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - T Michael O'Shea
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of North Carolina, Chapel Hill, NC
| | - Timothy Heeren
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA
| | - Raina N Fichorova
- Laboratory of Genital Tract Biology, Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Khalid Alshamrani
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Adam Aakil
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Forrest Beaulieu
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Mitchell Horn
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Laurie M Douglass
- Division of Pediatric Neurology, Department of Pediatrics, Boston Medical Center, Boston, MA
| | - Jean A Frazier
- Eunice Kennedy Shriver Center, Department of Psychiatry, UMASS Medical School/University of Massachusetts Memorial Health Care, Worcester, MA
| | - Deborah Hirtz
- National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Julie Vanier Rollins
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of North Carolina, Chapel Hill, NC
| | - David Cochran
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA
| | - Nigel Paneth
- Department of Epidemiology and Biostatistics and Pediatrics, Michigan State University, East Lansing, MI
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13
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Vandewouw MM, Young JM, Shroff MM, Taylor MJ, Sled JG. Altered myelin maturation in four year old children born very preterm. NEUROIMAGE-CLINICAL 2018; 21:101635. [PMID: 30573411 PMCID: PMC6413416 DOI: 10.1016/j.nicl.2018.101635] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 11/25/2018] [Accepted: 12/09/2018] [Indexed: 11/06/2022]
Abstract
Children born very preterm (VPT; <32 weeks gestational age [GA]) are at greater risk for a range of cognitive deficits that typically manifest at school age. Here we examine the hypothesis that these children have altered myelin maturational that can be detected by myelin sensitive MRI measures prior to school age. We included 33 four-year old children born VPT (mean GA; 28.7 weeks) and 23 four-year old full term (FT) children and completed magnetization transfer (MT), T1-weighted (T1-w) and T2-weighted (T1-w) magnetic resonance imaging as well as developmental assessments. Both MT ratio (MTR) and T1-w/T2-w ratio images were calculated, and group differences were probed using tract-based spatial statistics (TBSS) in white matter, and region of interest (ROI) analysis in white, subcortical gray and cortical gray matter. The relations between MTR and T1-w/T2-w ratio, as well as with developmental assessments, were investigated in all three brain divisions. In children born VPT, TBSS and ROI analysis revealed that both MTR and T1-w/T2-w ratio were significantly reduced in white matter compared to children born FT. ROI analysis showed reductions in T1-w/T2-w ratio in VPT children compared to FT children in the thalamus, putamen and amygdala, as well as in the occipital and temporal lobes. Across the VPT and FT children, T1-w/T2-w ratio and MTR were highly correlated across white, subcortical gray and cortical gray matter. Both measures correlated positively with developmental assessments in individual white matter tracts and cortical and subcortical ROIs, suggesting that higher MTR and T1-w/T2-w ratio is related to better cognitive performance. Together these findings are consistent with delayed myelination in VPT born children. Very preterm children have widespread decreased MTR in white matter. T1-w/T2-w ratio measures showed consistent white matter alterations. T1-w/T2-w ratio was also reduced in subcortical, occipital and temporal regions. MTR and T1-w/T2-w were correlated throughout the brain. MTR and T1-w/T2-w correlated with developmental assessments.
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Affiliation(s)
- Marlee M Vandewouw
- Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada.
| | - Julia M Young
- Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Manohar M Shroff
- Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Margot J Taylor
- Diagnostic Imaging, Hospital for Sick Children, Toronto, ON, Canada; Neurosciences and Mental Health, SickKids Research Institute, Toronto, ON, Canada; Department of Psychology, University of Toronto, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - John G Sled
- Translational Medicine, SickKids Research Institute, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
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14
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Pan Y, Dou WB, Wang YH, Luo HW, Ge YX, Yan SY, Xu Q, Tu YY, Xiao YQ, Wu Q, Zheng ZZ, Zhao HL. Non-concomitant cortical structural and functional alterations in sensorimotor areas following incomplete spinal cord injury. Neural Regen Res 2017; 12:2059-2066. [PMID: 29323046 PMCID: PMC5784355 DOI: 10.4103/1673-5374.221165] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Brain plasticity, including anatomical changes and functional reorganization, is the physiological basis of functional recovery after spinal cord injury (SCI). The correlation between brain anatomical changes and functional reorganization after SCI is unclear. This study aimed to explore whether alterations of cortical structure and network function are concomitant in sensorimotor areas after incomplete SCI. Eighteen patients with incomplete SCI (mean age 40.94 ± 14.10 years old; male:female, 7:11) and 18 healthy subjects (37.33 ± 11.79 years old; male:female, 7:11) were studied by resting state functional magnetic resonance imaging. Gray matter volume (GMV) and functional connectivity were used to evaluate cortical structure and network function, respectively. There was no significant alteration of GMV in sensorimotor areas in patients with incomplete SCI compared with healthy subjects. Intra-hemispheric functional connectivity between left primary somatosensory cortex (BA1) and left primary motor cortex (BA4), and left BA1 and left somatosensory association cortex (BA5) was decreased, as well as inter-hemispheric functional connectivity between left BA1 and right BA4, left BA1 and right BA5, and left BA4 and right BA5 in patients with SCI. Functional connectivity between both BA4 areas was also decreased. The decreased functional connectivity between the left BA1 and the right BA4 positively correlated with American Spinal Injury Association sensory score in SCI patients. The results indicate that alterations of cortical anatomical structure and network functional connectivity in sensorimotor areas were non-concomitant in patients with incomplete SCI, indicating the network functional changes in sensorimotor areas may not be dependent on anatomic structure. The strength of functional connectivity within sensorimotor areas could serve as a potential imaging biomarker for assessment and prediction of sensory function in patients with incomplete SCI. This trial was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR-ROC-17013566).
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Affiliation(s)
- Yu Pan
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital; School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Wei-Bei Dou
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Yue-Heng Wang
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Hui-Wen Luo
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Yun-Xiang Ge
- Department of Electronic Engineering, Tsinghua University, Beijing, China
| | - Shu-Yu Yan
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Quan Xu
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Yuan-Yuan Tu
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Yan-Qing Xiao
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Qiong Wu
- Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Zhuo-Zhao Zheng
- Department of Radiology, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Hong-Liang Zhao
- Department of Radiology, Beijing Tsinghua Changgung Hospital, Beijing, China
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