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Akiyama S, Madan N, Graham G, Samura O, Kitano R, Yun HJ, Craig A, Nakamura T, Hozawa A, Grant E, Im K, Tarui T. Regional brain development in fetuses with Dandy-Walker malformation: A volumetric fetal brain magnetic resonance imaging study. PLoS One 2022; 17:e0263535. [PMID: 35202430 PMCID: PMC8870580 DOI: 10.1371/journal.pone.0263535] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 01/20/2022] [Indexed: 11/18/2022] Open
Abstract
Dandy-Walker malformation (DWM) is a common prenatally diagnosed cerebellar malformation, characterized by cystic dilatation of the fourth ventricle, upward rotation of the hypoplastic vermis, and posterior fossa enlargement with torcular elevation. DWM is associated with a broad spectrum of neurodevelopmental abnormalities such as cognitive, motor, and behavioral impairments, which cannot be explained solely by cerebellar malformations. Notably, the pathogenesis of these symptoms remains poorly understood. This study investigated whether fetal structural developmental abnormalities in DWM extended beyond the posterior fossa to the cerebrum even in fetuses without apparent cerebral anomalies. Post-acquisition volumetric fetal magnetic resonance imaging (MRI) analysis was performed in 12 fetuses with DWM and 14 control fetuses. Growth trajectories of the volumes of the cortical plate, subcortical parenchyma, cerebellar hemispheres, and vermis between 18 and 33 weeks of gestation were compared. The median (interquartile range) gestational ages at the time of MRI were 22.4 (19.4-24.0) and 23.9 (20.6-29.2) weeks in the DWM and control groups, respectively (p = 0.269). Eight of the 12 fetuses with DWM presented with associated cerebral anomalies, including hydrocephalus (n = 3), cerebral ventriculomegaly (n = 3), and complete (n = 2) and partial (n = 2) agenesis of the corpus callosum (ACC); 7 presented with extracerebral abnormalities. Chromosomal abnormalities were detected by microarray analysis in 4 of 11 fetuses with DWM, using amniocentesis. Volumetric analysis revealed that the cortical plate was significantly larger in fetuses with DWM than in controls (p = 0.040). Even without ACC, the subcortical parenchyma, whole cerebrum, cerebellar hemispheres, and whole brain were significantly larger in fetuses with DWM (n = 8) than in controls (p = 0.004, 0.025, 0.033, and 0.026, respectively). In conclusion, volumetric fetal MRI analysis demonstrated that the development of DWM extends throughout the brain during the fetal period, even without apparent cerebral anomalies.
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Affiliation(s)
- Shizuko Akiyama
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Neel Madan
- Radiology, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - George Graham
- Obstetrics and Gynecology, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Osamu Samura
- Obstetrics and Gynecology, Jikei University School of Medicine, Tokyo, Japan
| | - Rie Kitano
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Hyuk Jin Yun
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Alexa Craig
- Pediatric Neurology, Maine Medical Center, Portland, Oregan, United States of America
| | - Tomohiro Nakamura
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ellen Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Kiho Im
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Tomo Tarui
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America
- Pediatric Neurology, Tufts Children’s Hospital, Boston, Massachusetts, United States of America
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2
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Norr ME, Hect JL, Lenniger CJ, Van den Heuvel M, Thomason ME. An examination of maternal prenatal BMI and human fetal brain development. J Child Psychol Psychiatry 2021; 62:458-469. [PMID: 32779186 PMCID: PMC7875456 DOI: 10.1111/jcpp.13301] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 01/27/2023]
Abstract
BACKGROUND Prenatal development is a time when the brain is acutely vulnerable to insult and alteration by environmental factors (e.g., toxins, maternal health). One important risk factor is maternal obesity (Body Mass Index > 30). Recent research indicates that high maternal BMI during pregnancy is associated with increased risk for numerous physical health, cognitive, and mental health problems in offspring across the lifespan. It is possible that heightened maternal prenatal BMI influences the developing brain even before birth. METHODS The present study examines this possibility at the level of macrocircuitry in the human fetal brain. Using a data-driven strategy for parcellating the brain into subnetworks, we test whether MRI functional connectivity within or between fetal neural subnetworks varies with maternal prenatal BMI in 109 fetuses between the ages of 26 and 39weeks. RESULTS We discovered that strength of connectivity between two subnetworks, left anterior insula/inferior frontal gyrus (aIN/IFG) and bilateral prefrontal cortex (PFC), varied with maternal BMI. At the level of individual aIN/IFG-PFC connections, we observed both increased and decreased between-network connectivity with a tendency for increased within-hemisphere connectivity and reduced cross-hemisphere connectivity in higher BMI pregnancies. Maternal BMI was not associated with global differences in network topography based on network-based statistical analyses. CONCLUSIONS Overall effects were localized in regions that will later support behavioral regulation and integrative processes, regions commonly associated with obesity-related deficits. By establishing onset in neural differences prior to birth, this study supports a model in which maternal BMI-related risk is associated with fetal connectome-level brain organization with implications for offspring long-term cognitive development and mental health.
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Affiliation(s)
- Megan E. Norr
- Department of Psychology, University of California Berkeley, Berkeley, CA, USA
| | - Jasmine L. Hect
- Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Carly J. Lenniger
- Department of Child and Adolescent Psychiatry, New York University Medical Center, New York, NY, USA
| | - Martijn Van den Heuvel
- Dutch Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Moriah E. Thomason
- Department of Child and Adolescent Psychiatry, New York University Medical Center, New York, NY, USA
- Department of Population Health, New York Medical Center, New York University, New York, NY, USA
- Neuroscience Institute, New York Medical Center, New York University, New York, NY, USA
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3
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Tarui T, Im K, Madan N, Madankumar R, Skotko BG, Schwartz A, Sharr C, Ralston SJ, Kitano R, Akiyama S, Yun HJ, Grant E, Bianchi DW. Quantitative MRI Analyses of Regional Brain Growth in Living Fetuses with Down Syndrome. Cereb Cortex 2021; 30:382-390. [PMID: 31264685 DOI: 10.1093/cercor/bhz094] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/04/2019] [Accepted: 04/14/2019] [Indexed: 01/06/2023] Open
Abstract
Down syndrome (DS) is the most common liveborn autosomal chromosomal anomaly and is a major cause of developmental disability. Atypical brain development and the resulting intellectual disability originate during the fetal period. Perinatal interventions to correct such aberrant development are on the horizon in preclinical studies. However, we lack tools to sensitively measure aberrant structural brain development in living human fetuses with DS. In this study, we aimed to develop safe and precise neuroimaging measures to monitor fetal brain development in DS. We measured growth patterns of regional brain structures in 10 fetal brains with DS (29.1 ± 4.2, weeks of gestation, mean ± SD, range 21.7~35.1) and 12 control fetuses (25.2 ± 5.0, range 18.6~33.3) using regional volumetric analysis of fetal brain MRI. All cases with DS had confirmed karyotypes. We performed non-linear regression models to compare fitted regional growth curves between DS and controls. We found decreased growth trajectories of the cortical plate (P = 0.033), the subcortical parenchyma (P = 0.010), and the cerebellar hemispheres (P < 0.0001) in DS compared to controls. This study provides proof of principle that regional volumetric analysis of fetal brain MRI facilitates successful evaluation of brain development in living fetuses with DS.
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Affiliation(s)
- Tomo Tarui
- Mother Infant Research Institute, Fetal Neonatal Neurology Program, Pediatric Neurology, Tufts Medical Center, Boston, MA, USA
| | - Kiho Im
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Neel Madan
- Radiology, Tufts Medical Center, Boston, MA, USA
| | - Rajeevi Madankumar
- Maternal Fetal Medicine, Obstetrics and Gynecology, Long Island Jewish Medical Center Northwell Health, New Hyde Park, NY, USA
| | - Brian G Skotko
- Down Syndrome Program, Genetics, Pediatrics, Massachusetts General Hospital, Boston, MA, USA
| | - Allie Schwartz
- Down Syndrome Program, Genetics, Pediatrics, Massachusetts General Hospital, Boston, MA, USA
| | - Christianne Sharr
- Down Syndrome Program, Genetics, Pediatrics, Massachusetts General Hospital, Boston, MA, USA
| | - Steven J Ralston
- Maternal Fetal Medicine, Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA
| | - Rie Kitano
- Mother Infant Research Institute, Fetal Neonatal Neurology Program, Pediatric Neurology, Tufts Medical Center, Boston, MA, USA
| | - Shizuko Akiyama
- Mother Infant Research Institute, Fetal Neonatal Neurology Program, Pediatric Neurology, Tufts Medical Center, Boston, MA, USA
| | - Hyuk Jin Yun
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ellen Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Diana W Bianchi
- Prenatal Genomics and Fetal Therapy Section, Medical Gen etics Branch, National Human Genome Research Institute, Bethesda, MD, USA
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Vasung L, Charvet CJ, Shiohama T, Gagoski B, Levman J, Takahashi E. Ex vivo fetal brain MRI: Recent advances, challenges, and future directions. Neuroimage 2019; 195:23-37. [PMID: 30905833 PMCID: PMC6617515 DOI: 10.1016/j.neuroimage.2019.03.034] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 03/12/2019] [Accepted: 03/16/2019] [Indexed: 12/21/2022] Open
Abstract
During early development, the fetal brain undergoes dynamic morphological changes. These changes result from neurogenic events, such as neuronal proliferation, migration, axonal elongation, retraction, and myelination. The duration and intensity of these events vary across species. Comparative assessments of these neurogenic events give us insight into evolutionary changes and the complexity of human brain development. Recent advances in magnetic resonance imaging (MRI), especially ex vivo MRI, permit characterizing and comparing fetal brain development across species. Comparative ex vivo MRI studies support the detection of species-specific differences that occur during early brain development. In this review, we provide a comprehensive overview of ex vivo MRI studies that characterize early brain development in humans, monkeys, cats, as well as rats/mice. Finally, we discuss the current advantages and limitations of ex vivo fetal brain MRI.
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Affiliation(s)
- Lana Vasung
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Christine J Charvet
- Department of Molecular Biology and Genetics, Cornell University, 526 Campus Rd, Ithaca, NY, 14850, USA; Department of Psychology, Delaware State University, Dover, DE, 19901, USA
| | - Tadashi Shiohama
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA; Department of Pediatrics, Chiba University Hospital, Inohana 1-8-1, Chiba-shi, Chiba, 2608670, Japan
| | - Borjan Gagoski
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA
| | - Jacob Levman
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA; Department of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, 401 Park Dr., Boston, MA, 02215, USA.
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5
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Urbanik A, Cichocka M, Kozub J, Karcz P, Herman-Sucharska I. Evaluation of changes in biochemical composition of fetal brain between 18th and 40th gestational week in proton magnetic resonance spectroscopy. J Matern Fetal Neonatal Med 2018; 32:2493-2499. [DOI: 10.1080/14767058.2018.1439009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Andrzej Urbanik
- Department of Radiology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Monika Cichocka
- Department of Radiology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Justyna Kozub
- Department of Radiology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Paulina Karcz
- Department of Electroradiology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
| | - Izabela Herman-Sucharska
- Department of Electroradiology, Collegium Medicum of the Jagiellonian University, Kraków, Poland
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6
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Stinnett GR, Lin S, Korotcov AV, Korotcova L, Morton PD, Ramachandra SD, Pham A, Kumar S, Agematsu K, Zurakowski D, Wang PC, Jonas RA, Ishibashi N. Microstructural Alterations and Oligodendrocyte Dysmaturation in White Matter After Cardiopulmonary Bypass in a Juvenile Porcine Model. J Am Heart Assoc 2017; 6:JAHA.117.005997. [PMID: 28862938 PMCID: PMC5586442 DOI: 10.1161/jaha.117.005997] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Newly developed white matter (WM) injury is common after cardiopulmonary bypass (CPB) in severe/complex congenital heart disease. Fractional anisotropy (FA) allows measurement of macroscopic organization of WM pathology but has rarely been applied after CPB. The aims of our animal study were to define CPB‐induced FA alterations and to determine correlations between these changes and cellular events after congenital heart disease surgery. Methods and Results Normal porcine WM development was first assessed between 3 and 7 weeks of age: 3‐week‐old piglets were randomly assigned to 1 of 3 CPB‐induced insults. FA was analyzed in 31 WM structures. WM oligodendrocytes, astrocytes, and microglia were assessed immunohistologically. Normal porcine WM development resembles human WM development in early infancy. We found region‐specific WM vulnerability to insults associated with CPB. FA changes after CPB were also insult dependent. Within various WM areas, WM within the frontal cortex was susceptible, suggesting that FA in the frontal cortex should be a biomarker for WM injury after CPB. FA increases occur parallel to cellular processes of WM maturation during normal development; however, they are altered following surgery. CPB‐induced oligodendrocyte dysmaturation, astrogliosis, and microglial expansion affect these changes. FA enabled capturing CPB‐induced cellular events 4 weeks postoperatively. Regions most resilient to CPB‐induced FA reduction were those that maintained mature oligodendrocytes. Conclusions Reducing alterations of oligodendrocyte development in the frontal cortex can be both a metric and a goal to improve neurodevelopmental impairment in the congenital heart disease population. Studies using this model can provide important data needed to better interpret human imaging studies.
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Affiliation(s)
- Gary R Stinnett
- Children's National Heart Institute, Children's National Health System, Washington, DC.,Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Stephen Lin
- Department of Radiology, Howard University, Washington, DC
| | - Alexandru V Korotcov
- Department of Radiology, Howard University, Washington, DC.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD
| | - Ludmila Korotcova
- Children's National Heart Institute, Children's National Health System, Washington, DC.,Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Paul D Morton
- Children's National Heart Institute, Children's National Health System, Washington, DC.,Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Shruti D Ramachandra
- Children's National Heart Institute, Children's National Health System, Washington, DC.,Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - Angeline Pham
- George Washington University School of Medicine and Health Science, Washington, DC
| | - Sonali Kumar
- George Washington University School of Medicine and Health Science, Washington, DC
| | - Kota Agematsu
- Children's National Heart Institute, Children's National Health System, Washington, DC.,Center for Neuroscience Research, Children's National Health System, Washington, DC
| | - David Zurakowski
- Departments of Anesthesia and Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA
| | - Paul C Wang
- Department of Radiology, Howard University, Washington, DC.,College of Science and Engineering, Fu Jen Catholic University, Taipei, Taiwan
| | - Richard A Jonas
- Children's National Heart Institute, Children's National Health System, Washington, DC .,Center for Neuroscience Research, Children's National Health System, Washington, DC.,George Washington University School of Medicine and Health Science, Washington, DC
| | - Nobuyuki Ishibashi
- Children's National Heart Institute, Children's National Health System, Washington, DC .,Center for Neuroscience Research, Children's National Health System, Washington, DC.,George Washington University School of Medicine and Health Science, Washington, DC
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7
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Tocchio S, Kline-Fath B, Kanal E, Schmithorst VJ, Panigrahy A. MRI evaluation and safety in the developing brain. Semin Perinatol 2015; 39:73-104. [PMID: 25743582 PMCID: PMC4380813 DOI: 10.1053/j.semperi.2015.01.002] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Magnetic resonance imaging (MRI) evaluation of the developing brain has dramatically increased over the last decade. Faster acquisitions and the development of advanced MRI sequences, such as magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI), perfusion imaging, functional MR imaging (fMRI), and susceptibility-weighted imaging (SWI), as well as the use of higher magnetic field strengths has made MRI an invaluable tool for detailed evaluation of the developing brain. This article will provide an overview of the use and challenges associated with 1.5-T and 3-T static magnetic fields for evaluation of the developing brain. This review will also summarize the advantages, clinical challenges, and safety concerns specifically related to MRI in the fetus and newborn, including the implications of increased magnetic field strength, logistics related to transporting and monitoring of neonates during scanning, and sedation considerations, and a discussion of current technologies such as MRI conditional neonatal incubators and dedicated small-foot print neonatal intensive care unit (NICU) scanners.
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Affiliation(s)
- Shannon Tocchio
- Pediatric Imaging Research Center, Department of Radiology Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Beth Kline-Fath
- Department of Radiology Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Emanuel Kanal
- Director, Magnetic Resonance Services; Professor of Neuroradiology; Department of Radiology, University of Pittsburgh Medical Center (UPMC)
| | - Vincent J. Schmithorst
- Pediatric Imaging Research Center, Department of Radiology Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, PA University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Ashok Panigrahy
- Pediatric Imaging Research Center, Department of Radiology Children׳s Hospital of Pittsburgh of UPMC, University of Pittsburgh Medical Center, Pittsburgh, PA.
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8
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Krishnamurthy U, Neelavalli J, Mody S, Yeo L, Jella PK, Saleem S, Korzeniewski SJ, Cabrera MD, Ehterami S, Bahado-Singh RO, Katkuri Y, Haacke EM, Hernandez-Andrade E, Hassan SS, Romero R. MR imaging of the fetal brain at 1.5T and 3.0T field strengths: comparing specific absorption rate (SAR) and image quality. J Perinat Med 2015; 43:209-20. [PMID: 25324440 PMCID: PMC5987203 DOI: 10.1515/jpm-2014-0268] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 09/09/2014] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Our two objectives were to evaluate the feasibility of fetal brain magnetic resonance imaging (MRI) using a fast spin echo sequence at 3.0T field strength with low radio frequency (rf) energy deposition (as measured by specific absorption rate: SAR) and to compare image quality, tissue contrast and conspicuity between 1.5T and 3.0T MRI. METHODS T2 weighted images of the fetal brain at 1.5T were compared to similar data obtained in the same fetus using a modified sequence at 3.0T. Quantitative whole-body SAR and normalized image signal to noise ratio (SNR), a nominal scoring scheme based evaluation of diagnostic image quality, and tissue contrast and conspicuity for specific anatomical structures in the brain were compared between 1.5T and 3.0T. RESULTS Twelve pregnant women underwent both 1.5T and 3.0T MRI examinations. The image SNR was significantly higher (P=0.03) and whole-body SAR was significantly lower (P<0.0001) for images obtained at 3.0T compared to 1.5T. All cases at both field strengths were scored as having diagnostic image quality. Images from 3.0T MRI (compared to 1.5T) were equal (57%; 21/37) or superior (35%; 13/37) for tissue contrast and equal (61%; 20/33) or superior (33%, 11/33) for conspicuity. CONCLUSIONS It is possible to obtain fetal brain images with higher resolution and better SNR at 3.0T with simultaneous reduction in SAR compared to 1.5T. Images of the fetal brain obtained at 3.0T demonstrated superior tissue contrast and conspicuity compared to 1.5T.
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Affiliation(s)
- Uday Krishnamurthy
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Jaladhar Neelavalli
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Swati Mody
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Lami Yeo
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Pavan K. Jella
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sheena Saleem
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Steven J. Korzeniewski
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan; USA
| | - Maria D. Cabrera
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Shadi Ehterami
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ray O. Bahado-Singh
- Department of Obstetrics and Gynecology, William Beaumont School of Medicine, Oakland University, Rochester, MI, USA
| | - Yashwanth Katkuri
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ewart M. Haacke
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sonia S. Hassan
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Roberto Romero
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan; USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
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9
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Maternal immune activation and abnormal brain development across CNS disorders. Nat Rev Neurol 2014; 10:643-60. [PMID: 25311587 DOI: 10.1038/nrneurol.2014.187] [Citation(s) in RCA: 641] [Impact Index Per Article: 58.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Epidemiological studies have shown a clear association between maternal infection and schizophrenia or autism in the progeny. Animal models have revealed maternal immune activation (mIA) to be a profound risk factor for neurochemical and behavioural abnormalities in the offspring. Microglial priming has been proposed as a major consequence of mIA, and represents a critical link in a causal chain that leads to the wide spectrum of neuronal dysfunctions and behavioural phenotypes observed in the juvenile, adult or aged offspring. Such diversity of phenotypic outcomes in the mIA model are mirrored by recent clinical evidence suggesting that infectious exposure during pregnancy is also associated with epilepsy and, to a lesser extent, cerebral palsy in children. Preclinical research also suggests that mIA might precipitate the development of Alzheimer and Parkinson diseases. Here, we summarize and critically review the emerging evidence that mIA is a shared environmental risk factor across CNS disorders that varies as a function of interactions between genetic and additional environmental factors. We also review ongoing clinical trials targeting immune pathways affected by mIA that may play a part in disease manifestation. In addition, future directions and outstanding questions are discussed, including potential symptomatic, disease-modifying and preventive treatment strategies.
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10
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Han R, Huang L, Sun Z, Zhang D, Chen X, Yang X, Cao Z. Assessment of apparent diffusion coefficient of normal fetal brain development from gestational age week 24 up to term age: a preliminary study. Fetal Diagn Ther 2014; 37:102-7. [PMID: 25095737 DOI: 10.1159/000363650] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 05/12/2014] [Indexed: 11/19/2022]
Abstract
OBJECTIVES This study was designed to investigate the feasibility of apparent diffusion coefficient (ADC) values in evaluating normal fetal brain development from gestational week 24 up to term age. METHODS Diffusion-weighted imaging (DWI) was performed on 40 normal fetuses (with normal results on sonography and normal fetal MRI results), with two b-values of 0 and 600 s/mm² in the three (x, y, z) orthogonal axes. Ten regions of interest (ROIs) were manually placed symmetrically in the bilateral frontal white matter (FWM), occipital white matter (OWM), thalamus (THAL), basal ganglia (BG), and cerebellar hemispheres (CH). ADC values of the ten ROIs in all subjects were measured by two radiologists independently. One-way ANOVA was used to calculate the differences among the five regions in the fetal brain and linear regression analysis was used to evaluate the correlation between ADC values and gestational age (GA). p < 0.05 was considered significantly different. RESULTS Mean GA was 31.3 ± 3.9 (range 24-41) weeks. The overall mean ADC values (× 10⁻⁶ mm²/s) of the fetuses were 1,800 ± 214 (FWM), 1,400 ± 100 (BG), 1,300 ± 126 (THAL), 1,700 ± 133 (OWM) and 1,400 ± 155 (CH), respectively. The ADC value of BG was not significantly different from those of THAL and CH, while the other four ROIs had significant differences with each other. The ADC values of BG, THAL, OWM and CH had strong negative correlations with increasing GA (R were -0.568, -0.716, -0.830 and -0.700, respectively, all p < 0.01), OWM declined fastest with GA, followed by CH and THAL, the slowest being BG. The ADC value of FWM had no significant change with GA (p = 0.366). CONCLUSIONS The measurement of ADC values is feasible to evaluate fetal brain development with high reliability and reproducibility.
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Affiliation(s)
- Rui Han
- Department of Radiology, Wuhan Integrated Traditional Chinese Medicine and Western Medicine Hospital, Wuhan, China
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11
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Agematsu K, Korotcova L, Scafidi J, Gallo V, Jonas RA, Ishibashi N. Effects of preoperative hypoxia on white matter injury associated with cardiopulmonary bypass in a rodent hypoxic and brain slice model. Pediatr Res 2014; 75:618-25. [PMID: 24488087 PMCID: PMC3992169 DOI: 10.1038/pr.2014.9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 10/22/2013] [Indexed: 11/12/2022]
Abstract
BACKGROUND White matter (WM) injury is common after cardiopulmonary bypass or deep hypothermic circulatory arrest in neonates who have cerebral immaturity secondary to in utero hypoxia. The mechanism remains unknown. We investigated effects of preoperative hypoxia on deep hypothermic circulatory arrest-induced WM injury using a combined experimental paradigm in rodents. METHODS Mice were exposed to hypoxia (prehypoxia). Oxygen-glucose deprivation was performed under three temperatures to simulate brain conditions of deep hypothermic circulatory arrest including ischemia-reperfusion/reoxygenation under hypothermia. RESULTS WM injury in prenormoxia was identified after 35 °C-oxygen-glucose deprivation. In prehypoxia, injury was displayed in all groups. Among oligodendrocyte stages, the preoligodendrocyte was the most susceptible, while the oligodendrocyte progenitor was resistant to insult. When effects of prehypoxia were assessed, injury of mature oligodendrocytes and oligodendrocyte progenitors in prehypoxia significantly increased as compared with prenormoxia, indicating that mature oligodendrocytes and progenitors that had developed under hypoxia had greater vulnerability. Conversely, damage of oligodendrocyte progenitors in prehypoxia were not identified after 15 °C-oxygen-glucose deprivation, suggesting that susceptible oligodendrocytes exposed to hypoxia are protected by deep hypothermia. CONCLUSION Developmental alterations due to hypoxia result in an increased WM susceptibility to injury. Promoting WM regeneration by oligodendrocyte progenitors after earlier surgery using deep hypothermia is the most promising approach for successful WM development in congenital heart disease patients.
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Affiliation(s)
- Kota Agematsu
- Children’s National Heart Institute, Children’s National Medical Center, Washington, DC,Center for Neuroscience Research, Children’s National Medical Center, Washington, DC
| | - Ludmila Korotcova
- Children’s National Heart Institute, Children’s National Medical Center, Washington, DC,Center for Neuroscience Research, Children’s National Medical Center, Washington, DC
| | - Joseph Scafidi
- Center for Neuroscience Research, Children’s National Medical Center, Washington, DC
| | - Vittorio Gallo
- Center for Neuroscience Research, Children’s National Medical Center, Washington, DC
| | - Richard A. Jonas
- Children’s National Heart Institute, Children’s National Medical Center, Washington, DC,Center for Neuroscience Research, Children’s National Medical Center, Washington, DC
| | - Nobuyuki Ishibashi
- Children’s National Heart Institute, Children’s National Medical Center, Washington, DC,Center for Neuroscience Research, Children’s National Medical Center, Washington, DC,Correspondence: Nobuyuki Ishibashi, MD, Children’s National Heart Institute and Center for Neuroscience Research, Children’s National Medical Center, 111 Michigan Avenue, N.W., Washington, DC, 20010-2970. Tel: 202-476-2388, Fax: 202-476-5572,
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12
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Brossard-Racine M, du Plessis AJ, Vezina G, Robertson R, Bulas D, Evangelou IE, Donofrio M, Freeman D, Limperopoulos C. Prevalence and spectrum of in utero structural brain abnormalities in fetuses with complex congenital heart disease. AJNR Am J Neuroradiol 2014; 35:1593-9. [PMID: 24651820 DOI: 10.3174/ajnr.a3903] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Brain injury is a major complication in neonates with complex congenital heart disease. Preliminary evidence suggests that fetuses with congenital heart disease are at greater risk for brain abnormalities. However, the nature and frequency of these brain abnormalities detected by conventional fetal MR imaging has not been examined prospectively. Our primary objective was to determine the prevalence and spectrum of brain abnormalities detected on conventional clinical MR imaging in fetuses with complex congenital heart disease and, second, to compare the congenital heart disease cohort with a control group of fetuses from healthy pregnancies. MATERIALS AND METHODS We prospectively recruited pregnant women with a confirmed fetal congenital heart disease diagnosis and healthy volunteers with normal fetal echocardiogram findings who underwent a fetal MR imaging between 18 and 39 weeks gestational age. RESULTS A total of 338 fetuses (194 controls; 144 with congenital heart disease) were studied at a mean gestational age of 30.61 ± 4.67 weeks. Brain abnormalities were present in 23% of the congenital heart disease group compared with 1.5% in the control group (P < .001). The most common abnormalities in the congenital heart disease group were mild unilateral ventriculomegaly in 12/33 (36.4%) and increased extra-axial spaces in 10/33 (30.3%). Subgroup analyses comparing the type and frequency of brain abnormalities based on cardiac physiology did not reveal significant associations, suggesting that the brain abnormalities were not limited to those with the most severe congenital heart disease. CONCLUSIONS This is the first large prospective study reporting conventional MR imaging findings in fetuses with congenital heart disease. Our results suggest that brain abnormalities are prevalent but relatively mild antenatally in fetuses with congenital heart disease. The long-term predictive value of these findings awaits further study.
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Affiliation(s)
- M Brossard-Racine
- From the Advanced Pediatric Brain Imaging Research Laboratory (M.B.-R., I.E.E., D.F., C.L.)Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)Fetal and Transitional Medicine (M.B.-R., A.d.P., M.D., C.L.)
| | - A J du Plessis
- Fetal and Transitional Medicine (M.B.-R., A.d.P., M.D., C.L.)
| | - G Vezina
- Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)
| | - R Robertson
- Department of Radiology (R.R.), Children's Hospital Boston and Harvard Medical School, Boston, Massachusetts
| | - D Bulas
- Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)
| | - I E Evangelou
- From the Advanced Pediatric Brain Imaging Research Laboratory (M.B.-R., I.E.E., D.F., C.L.)Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)
| | - M Donofrio
- Fetal and Transitional Medicine (M.B.-R., A.d.P., M.D., C.L.)Division of Cardiology (M.D.), Children's National Medical Center, Washington DC
| | - D Freeman
- From the Advanced Pediatric Brain Imaging Research Laboratory (M.B.-R., I.E.E., D.F., C.L.)Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)
| | - C Limperopoulos
- From the Advanced Pediatric Brain Imaging Research Laboratory (M.B.-R., I.E.E., D.F., C.L.)Division of Diagnostic Imaging and Radiology (M.B.-R., G.V., D.B., I.E.E., D.F., C.L.)Fetal and Transitional Medicine (M.B.-R., A.d.P., M.D., C.L.)
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13
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Oishi K, Faria AV, Yoshida S, Chang L, Mori S. Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging". Int J Dev Neurosci 2014; 32:28-40. [PMID: 24295553 PMCID: PMC4696018 DOI: 10.1016/j.ijdevneu.2013.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 05/24/2013] [Accepted: 06/13/2013] [Indexed: 01/18/2023] Open
Abstract
The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a "growth percentile chart," which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.
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Affiliation(s)
- Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Andreia V Faria
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shoko Yoshida
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Linda Chang
- Neuroscience and Magnetic Resonance Research Program, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Susumu Mori
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
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14
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Oishi K, Faria AV, Yoshida S, Chang L, Mori S. Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging. Int J Dev Neurosci 2013; 31:512-24. [PMID: 23796902 PMCID: PMC3830705 DOI: 10.1016/j.ijdevneu.2013.06.004] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 05/24/2013] [Accepted: 06/13/2013] [Indexed: 01/18/2023] Open
Abstract
The development of the brain is structure-specific, and the growth rate of each structure differs depending on the age of the subject. Magnetic resonance imaging (MRI) is often used to evaluate brain development because of the high spatial resolution and contrast that enable the observation of structure-specific developmental status. Currently, most clinical MRIs are evaluated qualitatively to assist in the clinical decision-making and diagnosis. The clinical MRI report usually does not provide quantitative values that can be used to monitor developmental status. Recently, the importance of image quantification to detect and evaluate mild-to-moderate anatomical abnormalities has been emphasized because these alterations are possibly related to several psychiatric disorders and learning disabilities. In the research arena, structural MRI and diffusion tensor imaging (DTI) have been widely applied to quantify brain development of the pediatric population. To interpret the values from these MR modalities, a "growth percentile chart," which describes the mean and standard deviation of the normal developmental curve for each anatomical structure, is required. Although efforts have been made to create such a growth percentile chart based on MRI and DTI, one of the greatest challenges is to standardize the anatomical boundaries of the measured anatomical structures. To avoid inter- and intra-reader variability about the anatomical boundary definition, and hence, to increase the precision of quantitative measurements, an automated structure parcellation method, customized for the neonatal and pediatric population, has been developed. This method enables quantification of multiple MR modalities using a common analytic framework. In this paper, the attempt to create an MRI- and a DTI-based growth percentile chart, followed by an application to investigate developmental abnormalities related to cerebral palsy, Williams syndrome, and Rett syndrome, have been introduced. Future directions include multimodal image analysis and personalization for clinical application.
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Affiliation(s)
- Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Abstract
Ultrasound remains the modality of choice in imaging the fetus due to its availability, safety, and low cost. With advances in technology, however, magnetic resonance imaging (MRI) has become an important adjuvant in the evaluation of the fetus. MRI is not limited by fetal lie, oligohydramnios, overlying bone, or obesity. MRI can image the fetus in any plane, providing a large field of view of the fetus and placenta with excellent soft tissue resolution of the brain, airway, lungs, and abdomen. Advanced techniques are being developed that provide volumetric data, spectroscopy, and functional images. MRI has its own set of challenges with a lack of consensus regarding its utility and safety. Artifact from the moving fetus and breathing mother limits the sequences available. While there is currently no evidence that fetal MRI produces harmful effects, long-term safety regarding radiofrequency fields and the loud acoustic environment continues to be studied. In this review, the benefits and potential risks of fetal MRI will be discussed.
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Affiliation(s)
- Dorothy Bulas
- Department of Diagnostic Imaging and Radiology, Children's National Medical Center, 111 Michigan Ave NW, Washington, DC 20010.
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