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Cabral L, Calabro FJ, Foran W, Parr AC, Ojha A, Rasmussen J, Ceschin R, Panigrahy A, Luna B. Multivariate and regional age-related change in basal ganglia iron in neonates. Cereb Cortex 2024; 34:bhad456. [PMID: 38059685 DOI: 10.1093/cercor/bhad456] [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: 07/05/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/08/2023] Open
Abstract
In the perinatal period, reward and cognitive systems begin trajectories, influencing later psychiatric risk. The basal ganglia is important for reward and cognitive processing but early development has not been fully characterized. To assess age-related development, we used a measure of basal ganglia physiology, specifically brain tissue iron, obtained from nT2* signal in resting-state functional magnetic resonance imaging (rsfMRI), associated with dopaminergic processing. We used data from the Developing Human Connectome Project (n = 464) to assess how moving from the prenatal to the postnatal environment affects rsfMRI nT2*, modeling gestational and postnatal age separately for basal ganglia subregions in linear models. We did not find associations with tissue iron and gestational age [range: 24.29-42.29] but found positive associations with postnatal age [range:0-17.14] in the pallidum and putamen, but not the caudate. We tested if there was an interaction between preterm birth and postnatal age, finding early preterm infants (GA < 35 wk) had higher iron levels and changed less over time. To assess multivariate change, we used support vector regression to predict age from voxel-wise-nT2* maps. We could predict postnatal but not gestational age when maps were residualized for the other age term. This provides evidence subregions differentially change with postnatal experience and preterm birth may disrupt trajectories.
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Affiliation(s)
- Laura Cabral
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Department of Bioengineering, University of Pittsburgh, 15213, United States
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Amar Ojha
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Jerod Rasmussen
- Development, Health and Disease Research Program, University of California, Irvine, CA 92697, United States
- Department of Pediatrics, University of California, Irvine, CA 92697, United States
| | - Rafael Ceschin
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Ashok Panigrahy
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
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2
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Leoni M, Vanes LD, Hadaya L, Kanel D, Dazzan P, Simonoff E, Counsell SJ, Happé F, Edwards AD, Nosarti C. Exploring cognitive, behavioral and autistic trait network topology in very preterm and term-born children. Front Psychol 2023; 14:1119196. [PMID: 37187563 PMCID: PMC10176608 DOI: 10.3389/fpsyg.2023.1119196] [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: 12/16/2022] [Accepted: 03/30/2023] [Indexed: 05/17/2023] Open
Abstract
Introduction Compared to full-term (FT) born peers, children who were born very preterm (VPT; <32 weeks' gestation) are likely to display more cognitive and behavioral difficulties, including inattention, anxiety and socio-communication problems. In the published literature, such difficulties tend to be studied independently, thus failing to account for how different aspects of child development interact. The current study aimed to investigate children's cognitive and behavioral outcomes as interconnected, dynamically related facets of development that influence one another. Methods Participants were 93 VPT and 55 FT children (median age 8.79 years). IQ was evaluated with the Wechsler Intelligence Scale for Children-4th edition (WISC-IV), autism spectrum condition (ASC) traits with the social responsiveness scale-2nd edition (SRS-2), behavioral and emotional problems with the strengths and difficulties questionnaire (SDQ), temperament with the temperament in middle childhood questionnaire (TMCQ) and executive function with the behavior rating inventory of executive functioning (BRIEF-2). Outcome measures were studied in VPT and FT children using Network Analysis, a method that graphically represents partial correlations between variables and yields information on each variable's propensity to form a bridge between other variables. Results VPT and FT children exhibited marked topological differences. Bridges (i.e., the variables most connected to others) in the VPT group network were: conduct problems and difficulties with organizing and ordering their environment. In the FT group network, the most important bridges were: difficulties with initiating a task or activity and prosocial behaviors, and greater emotional problems, such as lower mood. Discussion These findings highlight the importance of targeting different aspects of development to support VPT and FT children in person-based interventions.
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Affiliation(s)
- Marguerite Leoni
- 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
| | - 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
| | - 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
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust and King's College London, National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, London, United Kingdom
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust and King's College London, National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, London, United Kingdom
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Francesca Happé
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology and Neuroscience, 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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Kallankari H, Taskila HL, Heikkinen M, Hallman M, Saunavaara V, Kaukola T. Microstructural alterations in association tracts and language abilities in schoolchildren born very preterm and with poor fetal growth. Pediatr Radiol 2023; 53:94-103. [PMID: 35773359 PMCID: PMC9816217 DOI: 10.1007/s00247-022-05418-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 05/07/2022] [Accepted: 06/02/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Prematurity and perinatal risk factors may influence white matter microstructure. In turn, these maturational changes may influence language development in this high-risk population of children. OBJECTIVE To evaluate differences in the microstructure of association tracts between preterm and term children and between preterm children with appropriate growth and those with fetal growth restriction and to study whether the diffusion tensor metrics of these tracts correlate with language abilities in schoolchildren with no severe neurological impairment. MATERIALS AND METHODS This study prospectively followed 56 very preterm children (mean gestational age: 28.7 weeks) and 21 age- and gender-matched term children who underwent diffusion tensor imaging at a mean age of 9 years. We used automated probabilistic tractography and measured fractional anisotropy in seven bilateral association tracts known to belong to the white matter language network. Both groups participated in language assessment using five standardised tests at the same age. RESULTS Preterm children had lower fractional anisotropy in the right superior longitudinal fasciculus 1 compared to term children (P < 0.05). Preterm children with fetal growth restriction had lower fractional anisotropy in the left inferior longitudinal fasciculus compared to preterm children with appropriate fetal growth (P < 0.05). Fractional anisotropy in three dorsal tracts and in two dorsal and one ventral tract had a positive correlation with language assessments among preterm children and preterm children with fetal growth restriction, respectively (P < 0.05). CONCLUSION There were some microstructural differences in language-related tracts between preterm and term children and between preterm children with appropriate and those with restricted fetal growth. Children with better language abilities had a higher fractional anisotropy in distinct white matter tracts.
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Affiliation(s)
- Hanna Kallankari
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland. .,Department of Child Neurology, Oulu University Hospital, University of Oulu, P.O. Box 5000, FIN-90014, Oulu, Finland.
| | - Hanna-Leena Taskila
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland ,Department of Neonatology, Oulu University Hospital, Oulu, Finland
| | - Minna Heikkinen
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland ,Child Language Research Center, Faculty of Humanities, University of Oulu, Oulu, Finland
| | - Mikko Hallman
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland
| | - Virva Saunavaara
- PET Center, Turku University Hospital, Turku, Finland ,Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Tuula Kaukola
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland ,Department of Neonatology, Oulu University Hospital, Oulu, Finland
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Nieuwets A, Cizmeci MN, Groenendaal F, Leijser LM, Koopman C, Benders MJNL, Dudink J, de Vries LS, van der Aa NE. Post-hemorrhagic ventricular dilatation affects white matter maturation in extremely preterm infants. Pediatr Res 2022; 92:225-232. [PMID: 34446847 DOI: 10.1038/s41390-021-01704-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/20/2021] [Accepted: 08/08/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Data on microstructural white matter integrity in preterm infants with post-hemorrhagic ventricular dilatation (PHVD) using diffusion tensor imaging (DTI) are limited. Also, to date, no study has focused on the DTI changes in extremely preterm (EP) infants with PHVD. METHODS A case-control study of EP infants <28 weeks' gestation with PHVD was conducted. Diffusivity and fractional anisotropy (FA) values of corticospinal tracts (CST) and corpus callosum (CC) were measured using DTI at term-equivalent age. Outcomes were assessed at 2-years-corrected age. RESULTS Twenty-one infants with PHVD and 21 matched-controls were assessed. FA values in the CC were lower in infants with PHVD compared with controls (mean difference, 0.05 [95% confidence interval (CI), 0.02-0.08], p < 0.001). In infants with periventricular hemorrhagic infarction, FA values in the CC were lower than in controls (mean difference, 0.05 [95% CI, 0.02-0.09], p = 0.005). The composite cognitive and motor scores were associated with the FA value of the CC (coefficient 114, p = 0.01 and coefficient 147, p = 0.004; respectively). CONCLUSIONS Extremely preterm infants with PHVD showed lower FA values in CC. A positive correlation was also shown between the composite cognitive and motor scores and FA value of the CC at 2-years-corrected age. IMPACT Extremely preterm infants with post-hemorrhagic ventricular dilatation showed lower fractional anisotropy values in their corpus callosum compared with controls reflecting the impaired microstructure of these commissural nerve fibers that are adjacent to the dilated ventricles. Impaired microstructure of the corpus callosum was shown to be associated with cognitive and motor scores at 2-years-corrected age.
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Affiliation(s)
- Astrid Nieuwets
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mehmet N Cizmeci
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Floris Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lara M Leijser
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Section of Neonatology, Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Corine Koopman
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Manon J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Linda S de Vries
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Niek E van der Aa
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands. .,Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
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Lake EMR, Higley MJ. Building bridges: simultaneous multimodal neuroimaging approaches for exploring the organization of brain networks. NEUROPHOTONICS 2022; 9:032202. [PMID: 36159712 PMCID: PMC9506627 DOI: 10.1117/1.nph.9.3.032202] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
Brain organization is evident across spatiotemporal scales as well as from structural and functional data. Yet, translating from micro- to macroscale (vice versa) as well as between different measures is difficult. Reconciling disparate observations from different modes is challenging because each specializes within a restricted spatiotemporal milieu, usually has bounded organ coverage, and has access to different contrasts. True intersubject biological heterogeneity, variation in experiment implementation (e.g., use of anesthesia), and true moment-to-moment variations in brain activity (maybe attributable to different brain states) also contribute to variability between studies. Ultimately, for a deeper and more actionable understanding of brain organization, an ability to translate across scales, measures, and species is needed. Simultaneous multimodal methods can contribute to bettering this understanding. We consider four modes, three optically based: multiphoton imaging, single-photon (wide-field) imaging, and fiber photometry, as well as magnetic resonance imaging. We discuss each mode as well as their pairwise combinations with regard to the definition and study of brain networks.
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Affiliation(s)
- Evelyn M. R. Lake
- Yale School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, Connecticut, United States
| | - Michael J. Higley
- Yale School of Medicine, Departments of Neuroscience and Psychiatry, New Haven, Connecticut, United States
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, Connecticut, United States
- Program in Cellular Neuroscience, Neurodegeneration, and Repair, New Haven, Connecticut, United States
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D’Andrea CB, Kenley JK, Montez DF, Mirro AE, Miller RL, Earl EA, Koller JM, Sung S, Yacoub E, Elison JT, Fair DA, Dosenbach NU, Rogers CE, Smyser CD, Greene DJ. Real-time motion monitoring improves functional MRI data quality in infants. Dev Cogn Neurosci 2022; 55:101116. [PMID: 35636344 PMCID: PMC9157440 DOI: 10.1016/j.dcn.2022.101116] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/24/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Imaging the infant brain with MRI has improved our understanding of early neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are typically scanned while asleep, they commonly exhibit motion during scanning causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Here, we compared average framewise displacement (FD), a proxy for head motion, and the amount of usable fMRI data (FD ≤ 0.2 mm) in infants scanned with (n = 407) and without FIRMM (n = 295). Using a mixed-effects model, we found that the addition of FIRMM to current state-of-the-art infant scanning protocols significantly increased the amount of usable fMRI data acquired per infant, demonstrating its value for research and clinical infant neuroimaging. MRI studies of the infant brain are critical for studying early neurodevelopment. Head motion diminishes MRI data quality, which can adversely affect infant imaging. We show that real-time head motion monitoring improves fMRI scan quality in infants. Being able to monitor motion during fMRI acquisition improves scanning efficiency.
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Banihani R, Seesahai J, Asztalos E, Terrien Church P. Neuroimaging at Term Equivalent Age: Is There Value for the Preterm Infant? A Narrative Summary. CHILDREN (BASEL, SWITZERLAND) 2021; 8:227. [PMID: 33809745 PMCID: PMC8002329 DOI: 10.3390/children8030227] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/10/2021] [Accepted: 03/10/2021] [Indexed: 11/17/2022]
Abstract
Advances in neuroimaging of the preterm infant have enhanced the ability to detect brain injury. This added information has been a blessing and a curse. Neuroimaging, particularly with magnetic resonance imaging, has provided greater insight into the patterns of injury and specific vulnerabilities. It has also provided a better understanding of the microscopic and functional impacts of subtle and significant injuries. While the ability to detect injury is important and irresistible, the evidence for how these injuries link to specific long-term outcomes is less clear. In addition, the impact on parents can be profound. This narrative summary will review the history and current state of brain imaging, focusing on magnetic resonance imaging in the preterm population and the current state of the evidence for how these patterns relate to long-term outcomes.
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Affiliation(s)
- Rudaina Banihani
- Newborn & Developmental Paediatrics, Sunnybrook Health Science Centre, 2075 Bayview Ave, The University of Toronto, Toronto, ON M4N 3M5, Canada; (J.S.); (E.A.); (P.T.C.)
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