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Sun W, Ahmed I, Dubrof ST, Park HJ, West FD, Zhao Q. Affinity of structural white matter tracts between infant and adult pig. J Neurosci Methods 2024; 406:110134. [PMID: 38588923 DOI: 10.1016/j.jneumeth.2024.110134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/13/2024] [Accepted: 04/03/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND The piglet brain has been increasingly used as an excellent surrogate for investigation of pediatric neurodevelopment, nutrition, and traumatic brain injuries. This study intends to establish a piglet brain's structural connectivity model and compare it with the adult pig, enhancing its application for structurally guided functional analysis. METHODS In this study, diffusion-weighted (DW)-MRI data from piglets (n=11, 3-week-old) was used to establish piglet model and compare with adult pigs. We employed a data-driven independent component analysis (ICA) method to derive piglet-specific tracts. Pearson correlations and Kullback-Leibler (KL) divergences was employed to identify common tracts and unique tracts for piglet. Common tracts were then used in a blueprint connectome study to highlight differences in regions of interest (ROI). RESULTS The data-driven approach applied to piglet brains revealed 17 common tracts, showing high similarity with adult pigs' white matter (WM) tracts, and identified 3 tracts unique to piglets and 10 negative marker tracts. Additionally, the study highlighted notable differences in 3 ROIs associated with blueprint connectome. COMPARING WITH EXISTING METHODS This study marks a significant shift from surface-based to voxel-based methodologies in analyzing pig brain structural connectivity and generating connectome blueprints. Additionally, it sheds light on the use of the piglet model for developmental studies, offering new perspectives in this area. CONCLUSION This study established a piglet brain tract model and conducts a comparative analysis of adult pig's and piglet's structural connectivity. These findings underscore the potential use of the piglet brain model in employing piglet model for developmental studies.
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Affiliation(s)
- Wenwu Sun
- Department of Physics and Astronomy, University of Georgia, Athens, GA, USA; Regenerative Bioscience Center, University of Georgia, Athens, GA, USA
| | - Ishfaque Ahmed
- Department of Physics and Astronomy, University of Georgia, Athens, GA, USA; Regenerative Bioscience Center, University of Georgia, Athens, GA, USA; Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - Stephanie T Dubrof
- Department of Nutritional Sciences, College of Family and Consumer Sciences, USA
| | - Hea Jin Park
- Department of Nutritional Sciences, College of Family and Consumer Sciences, USA
| | - Franklin D West
- Regenerative Bioscience Center, University of Georgia, Athens, GA, USA; Department of Animal and Diary Science, University of Georgia, Athens, GA, USA
| | - Qun Zhao
- Department of Physics and Astronomy, University of Georgia, Athens, GA, USA; Regenerative Bioscience Center, University of Georgia, Athens, GA, USA; Bio-Imaging Research Center, University of Georgia, Athens, GA, USA.
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Romascano D, Piredda GF, Caneschi S, Hilbert T, Corredor R, Maréchal B, Kober T, Ledoux JB, Fornari E, Hagmann P, Denervaud S. Normative volumes and relaxation times at 3T during brain development. Sci Data 2024; 11:429. [PMID: 38664431 PMCID: PMC11045735 DOI: 10.1038/s41597-024-03267-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
While research has unveiled and quantified brain markers of abnormal neurodevelopment, clinicians still work with qualitative metrics for MRI brain investigation. The purpose of the current article is to bridge the knowledge gap between case-control cohort studies and individual patient care. Here, we provide a unique dataset of seventy-three 3-to-17 years-old healthy subjects acquired with a 6-minute MRI protocol encompassing T1 and T2 relaxation quantitative sequence that can be readily implemented in the clinical setting; MP2RAGE for T1 mapping and the prototype sequence GRAPPATINI for T2 mapping. White matter and grey matter volumes were automatically quantified. We further provide normative developmental curves based on these two imaging sequences; T1, T2 and volume normative ranges with respect to age were computed, for each ROI of a pediatric brain atlas. This open-source dataset provides normative values allowing to position individual patients acquired with the same protocol on the brain maturation curve and as such provides potentially useful quantitative biomarkers facilitating precise and personalized care.
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Affiliation(s)
- David Romascano
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern, Switzerland.
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
| | - Gian Franco Piredda
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | - Samuele Caneschi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- Signal Processing laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tom Hilbert
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- Signal Processing laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ricardo Corredor
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- Signal Processing laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bénédicte Maréchal
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- Signal Processing laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tobias Kober
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland
- Signal Processing laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jean-Baptiste Ledoux
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | | | - Patric Hagmann
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
| | - Solange Denervaud
- Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
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Chong CD, Furst AJ. Mind Your Head: Insights Into Brain White Matter Tract Maturation in Collegiate Athletes. Neurology 2023; 101:380-381. [PMID: 37479528 DOI: 10.1212/wnl.0000000000207775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023] Open
Affiliation(s)
- Catherine D Chong
- From the Department of Neurology and Biomedical Engineering (C.D.C.), Mayo Clinic, Phoenix; and School of Computing and Augmented Intelligence (C.D.C.), Arizona State University, Tempe, AZ; War Related Illness and Injury Study Center (A.J.F.) and Polytrauma System of Care (A.J.F.), VA Palo Alto Health Care System; and Departments of Psychiatry and Behavioral Sciences (A.J.F.) and Neurology and Neurological Sciences (A.J.F.), Stanford University School of Medicine, Palo Alto, CA.
| | - Ansgar J Furst
- From the Department of Neurology and Biomedical Engineering (C.D.C.), Mayo Clinic, Phoenix; and School of Computing and Augmented Intelligence (C.D.C.), Arizona State University, Tempe, AZ; War Related Illness and Injury Study Center (A.J.F.) and Polytrauma System of Care (A.J.F.), VA Palo Alto Health Care System; and Departments of Psychiatry and Behavioral Sciences (A.J.F.) and Neurology and Neurological Sciences (A.J.F.), Stanford University School of Medicine, Palo Alto, CA
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Caffarra S, Joo SJ, Bloom D, Kruper J, Rokem A, Yeatman JD. Development of the visual white matter pathways mediates development of electrophysiological responses in visual cortex. Hum Brain Mapp 2021; 42:5785-5797. [PMID: 34487405 PMCID: PMC8559498 DOI: 10.1002/hbm.25654] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/23/2021] [Accepted: 08/27/2021] [Indexed: 12/24/2022] Open
Abstract
The latency of neural responses in the visual cortex changes systematically across the lifespan. Here, we test the hypothesis that development of visual white matter pathways mediates maturational changes in the latency of visual signals. Thirty-eight children participated in a cross-sectional study including diffusion magnetic resonance imaging (MRI) and magnetoencephalography (MEG) sessions. During the MEG acquisition, participants performed a lexical decision and a fixation task on words presented at varying levels of contrast and noise. For all stimuli and tasks, early evoked fields were observed around 100 ms after stimulus onset (M100), with slower and lower amplitude responses for low as compared to high contrast stimuli. The optic radiations and optic tracts were identified in each individual's brain based on diffusion MRI tractography. The diffusion properties of the optic radiations predicted M100 responses, especially for high contrast stimuli. Higher optic radiation fractional anisotropy (FA) values were associated with faster and larger M100 responses. Over this developmental window, the M100 responses to high contrast stimuli became faster with age and the optic radiation FA mediated this effect. These findings suggest that the maturation of the optic radiations over childhood accounts for individual variations observed in the developmental trajectory of visual cortex responses.
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Affiliation(s)
- Sendy Caffarra
- Division of Developmental‐Behavioral PediatricsStanford University School of MedicineStanfordCalifornia
- Stanford University Graduate School of EducationStanfordCalifornia
- Basque Center on Cognition Brain and LanguageSan SebastianSpain
- Department of Biomedical, Metabolic and Neural SciencesUniversity of Modena and Reggio EmiliaModenaItaly
| | - Sung Jun Joo
- Department of PsychologyPusan National UniversityPusanRepublic of Korea
| | - David Bloom
- Department of PsychologyUniversity of WashingtonSeattleWashington
- eScience InstituteUniversity of WashingtonSeattleWashington
| | - John Kruper
- Department of PsychologyUniversity of WashingtonSeattleWashington
- eScience InstituteUniversity of WashingtonSeattleWashington
| | - Ariel Rokem
- Department of PsychologyUniversity of WashingtonSeattleWashington
- eScience InstituteUniversity of WashingtonSeattleWashington
| | - Jason D. Yeatman
- Division of Developmental‐Behavioral PediatricsStanford University School of MedicineStanfordCalifornia
- Stanford University Graduate School of EducationStanfordCalifornia
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Sahni V, Shnider SJ, Jabaudon D, Song JHT, Itoh Y, Greig LC, Macklis JD. Corticospinal neuron subpopulation-specific developmental genes prospectively indicate mature segmentally specific axon projection targeting. Cell Rep 2021; 37:109843. [PMID: 34686320 PMCID: PMC8653526 DOI: 10.1016/j.celrep.2021.109843] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 05/27/2021] [Accepted: 09/26/2021] [Indexed: 11/11/2022] Open
Abstract
For precise motor control, distinct subpopulations of corticospinal neurons (CSN) must extend axons to distinct spinal segments, from proximal targets in the brainstem and cervical cord to distal targets in thoracic and lumbar spinal segments. We find that developing CSN subpopulations exhibit striking axon targeting specificity in spinal white matter, which establishes the foundation for durable specificity of adult corticospinal circuitry. Employing developmental retrograde and anterograde labeling, and their distinct neocortical locations, we purified developing CSN subpopulations using fluorescence-activated cell sorting to identify genes differentially expressed between bulbar-cervical and thoracolumbar-projecting CSN subpopulations at critical developmental times. These segmentally distinct CSN subpopulations are molecularly distinct from the earliest stages of axon extension, enabling prospective identification even before eventual axon targeting decisions are evident in the spinal cord. This molecular delineation extends beyond simple spatial separation of these subpopulations in the cortex. Together, these results identify candidate molecular controls over segmentally specific corticospinal axon projection targeting.
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Affiliation(s)
- Vibhu Sahni
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Sara J Shnider
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Denis Jabaudon
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Janet H T Song
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Yasuhiro Itoh
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Luciano C Greig
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Jeffrey D Macklis
- Department of Stem Cell and Regenerative Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
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Perri K, De Mori L, Tortora D, Calevo MG, Allegri AEM, Napoli F, Patti G, Fava D, Crocco M, Schiavone M, Casalini E, Severino M, Rossi A, Di Iorgi N, Gastaldi R, Maghnie M. Cognitive and White Matter Microstructure Development in Congenital Hypothyroidism and Familial Thyroid Disorders. J Clin Endocrinol Metab 2021; 106:e3990-e4006. [PMID: 34105732 DOI: 10.1210/clinem/dgab412] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Indexed: 12/25/2022]
Abstract
CONTEXT Children with congenital hypothyroidism (CH) are at risk for suboptimal neurodevelopment. OBJECTIVES To evaluate neurocognitive function and white matter microstructure in children with permanent or transient CH and to correlate these findings with disease severity. DESIGN, PARTICIPANTS AND METHODS A retrospective and prospective observational study was conducted in 39 children with permanent or transient CH, and in 39 healthy children. Cognitive function was assessed by Wechsler Intelligence Scale, Fourth Edition, and by other tests; the white matter microstructure was investigated by 3 Tesla magnetic resonance imaging. RESULTS Children with permanent CH have lower cognitive scores at a median age of 9.5 years than those with transient CH and controls. An IQ score between 71 and 84 was found in 28.6% of permanent CH and of <70 (P = 0.06) in 10.7%. The Processing Speed Index (PSI; P = 0.004), sustained visual attention (P = 0.02), reading speed (P = 0.0001), written calculations (P = 0.002), and numerical knowledge (P = 0.0001) were significantly lower than controls. Children born to mothers with Hashimoto's thyroiditis have significantly lower IQ values (P = 0.02), Working Memory Index (P = 0.03), and PSI (P = 0.02). Significantly lower IQ and Verbal Comprehension Index values were found in children with a family history of thyroid disorders (P = 0.004 and P = 0.009, respectively). In children with permanent CH, significant correlations between abnormalities in white matter microstructural, clinical, and cognitive measures were documented. CONCLUSIONS These findings indicate that children with CH are at risk of neurocognitive impairment and white matter abnormalities despite timely and adequate treatment. The association between offspring cognitive vulnerability and maternal thyroid disorders requires careful consideration.
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Affiliation(s)
- Katia Perri
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Letizia De Mori
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Domenico Tortora
- Pediatric Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Maria Grazia Calevo
- Epidemiology and Biostatistics Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Anna E M Allegri
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Flavia Napoli
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Giuseppa Patti
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Daniela Fava
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Marco Crocco
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Maurizio Schiavone
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Emilio Casalini
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | | | - Andrea Rossi
- Pediatric Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Natascia Di Iorgi
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
| | - Roberto Gastaldi
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Mohamad Maghnie
- Department of Pediatrics, IRCCS Istituto Giannina Gaslini, Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health-University of Genova, Genova, Italy
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Wang J, Napoli E, Kim K, McLennan YA, Hagerman RJ, Giulivi C. Brain Atrophy and White Matter Damage Linked to Peripheral Bioenergetic Deficits in the Neurodegenerative Disease FXTAS. Int J Mol Sci 2021; 22:9171. [PMID: 34502080 PMCID: PMC8431233 DOI: 10.3390/ijms22179171] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/16/2021] [Accepted: 08/23/2021] [Indexed: 11/16/2022] Open
Abstract
Fragile X-associated tremor/ataxia syndrome (FXTAS) is a neurodegenerative disorder affecting subjects (premutation carriers) with a 55-200 CGG-trinucleotide expansion in the 5'UTR of the fragile X mental retardation 1 gene (FMR1) typically after age 50. As both the presence of white matter hyperintensities (WMHs) and atrophied gray matter on magnetic resonance imaging (MRI) are linked to age-dependent decline in cognition, here we tested whether MRI outcomes (WMH volume (WMHV) and brain volume) were correlated with mitochondrial bioenergetics from peripheral blood monocytic cells in 87 carriers with and without FXTAS. As a parameter assessing cumulative damage, WMHV was correlated to both FXTAS stages and age, and brain volume discriminated between carriers and non-carriers. Similarly, mitochondrial mass and ATP production showed an age-dependent decline across all participants, but in contrast to WMHV, only FADH2-linked ATP production was significantly reduced in carriers vs. non-carriers. In carriers, WMHV negatively correlated with ATP production sustained by glucose-glutamine and FADH2-linked substrates, whereas brain volume was positively associated with the latter and mitochondrial mass. The observed correlations between peripheral mitochondrial bioenergetics and MRI findings-and the lack of correlations with FXTAS diagnosis/stages-may stem from early brain bioenergetic deficits even before overt FXTAS symptoms and/or imaging findings.
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Affiliation(s)
- Junyi Wang
- Center for Mind and Brain, University of California Davis, Davis, CA 95618, USA;
| | - Eleonora Napoli
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA;
| | - Kyoungmi Kim
- The MIND Institute, University of California Davis Medical Center, Sacramento, CA 95817, USA; (K.K.); (Y.A.M.)
- Department of Public Health Sciences, School of Medicine, University of California Davis, Sacramento, CA 95817, USA
| | - Yingratana A. McLennan
- The MIND Institute, University of California Davis Medical Center, Sacramento, CA 95817, USA; (K.K.); (Y.A.M.)
- Department of Pediatrics, University of California Davis Medical Center, Sacramento, CA 95817, USA
| | - Randi J. Hagerman
- The MIND Institute, University of California Davis Medical Center, Sacramento, CA 95817, USA; (K.K.); (Y.A.M.)
- Department of Pediatrics, University of California Davis Medical Center, Sacramento, CA 95817, USA
| | - Cecilia Giulivi
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA;
- The MIND Institute, University of California Davis Medical Center, Sacramento, CA 95817, USA; (K.K.); (Y.A.M.)
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Drakulich S, Thiffault AC, Olafson E, Parent O, Labbe A, Albaugh MD, Khundrakpam B, Ducharme S, Evans A, Chakravarty MM, Karama S. Maturational trajectories of pericortical contrast in typical brain development. Neuroimage 2021; 235:117974. [PMID: 33766753 PMCID: PMC8278832 DOI: 10.1016/j.neuroimage.2021.117974] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 02/27/2021] [Accepted: 03/17/2021] [Indexed: 11/16/2022] Open
Abstract
In the last few years, a significant amount of work has aimed to characterize maturational trajectories of cortical development. The role of pericortical microstructure putatively characterized as the gray-white matter contrast (GWC) at the pericortical gray-white matter boundary and its relationship to more traditional morphological measures of cortical morphometry has emerged as a means to examine finer grained neuroanatomical underpinnings of cortical changes. In this work, we characterize the GWC developmental trajectories in a representative sample (n = 394) of children and adolescents (~4 to ~22 years of age), with repeated scans (1-3 scans per subject, total scans n = 819). We tested whether linear, quadratic, or cubic trajectories of contrast development best described changes in GWC. A best-fit model was identified vertex-wise across the whole cortex via the Akaike Information Criterion (AIC). GWC across nearly the whole brain was found to significantly change with age. Cubic trajectories were likeliest for 63% of vertices, quadratic trajectories were likeliest for 20% of vertices, and linear trajectories were likeliest for 16% of vertices. A main effect of sex was observed in some regions, where males had a higher GWC than females. However, no sex by age interactions were found on GWC. In summary, our results suggest a progressive decrease in GWC at the pericortical boundary throughout childhood and adolescence. This work contributes to efforts seeking to characterize typical, healthy brain development and, by extension, can help elucidate aberrant developmental trajectories.
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Affiliation(s)
- Stefan Drakulich
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Anne-Charlotte Thiffault
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Emily Olafson
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Olivier Parent
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Aurelie Labbe
- HEC Montréal, 3000, chemin de la Côte-Sainte-Catherine, Montreal, QC H3T 2A7, Canada
| | - Matthew D Albaugh
- Department of Psychiatry, Larnier College of Medicine, University of Vermont, United States
| | - Budhachandra Khundrakpam
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Simon Ducharme
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Alan Evans
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Mallar M Chakravarty
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
| | - Sherif Karama
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada; Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
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Walsh BH, Paul RA, Inder TE, Shimony JS, Smyser CD, Rogers CE. Surgery requiring general anesthesia in preterm infants is associated with altered brain volumes at term equivalent age and neurodevelopmental impairment. Pediatr Res 2021; 89:1200-1207. [PMID: 32575110 PMCID: PMC7755708 DOI: 10.1038/s41390-020-1030-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 12/04/2019] [Accepted: 06/11/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND The aim of the study was to describe and contrast the brain development and outcome among very preterm infants that were and were not exposed to surgery requiring general anesthesia prior to term equivalent age (TEA). METHODS Preterm infants born ≤30 weeks' gestation who did (n = 25) and did not (n = 59) have surgery requiring general anesthesia during the preterm period were studied. At TEA, infants had MRI scans performed with measures of brain tissue volumes, cortical surface area, Gyrification Index, and white matter microstructure. Neurodevelopmental follow-up with the Bayley Scales of Infant and Toddler Development, Third Edition was undertaken at 2 years of corrected age. Multivariate models, adjusted for clinical and social risk factors, were used to compare the groups. RESULTS After controlling for clinical and social variables, preterm infants exposed to surgical anesthesia demonstrated decreased relative white matter volumes at TEA and lower cognitive and motor composite scores at 2-year follow-up. Those with longer surgical exposure demonstrated the greatest decrease in white matter volumes and lower cognitive and motor outcomes at age 2 years. CONCLUSIONS Very preterm infants who required surgery during the preterm period had lower white mater volumes at TEA and worse neurodevelopmental outcome at age 2 years. IMPACT In very preterm infants, there is an association between surgery requiring general anesthesia during the preterm period and reduced white mater volume on MRI at TEA and lower cognitive and motor composite scores at age 2 years. It is known that the very preterm infant's brain undergoes rapid growth during the period corresponding to the third trimester. The current study suggests an association between surgery requiring general anesthesia during this period and worse outcomes.
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Affiliation(s)
- Brian H Walsh
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Neonatology, Cork University Maternity Hospital, Cork, Ireland.
| | - Rachel A Paul
- Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Christopher D Smyser
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Cynthia E Rogers
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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10
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Rehbein E, Hornung J, Sundström Poromaa I, Derntl B. Shaping of the Female Human Brain by Sex Hormones: A Review. Neuroendocrinology 2021; 111:183-206. [PMID: 32155633 DOI: 10.1159/000507083] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/09/2020] [Indexed: 12/26/2022]
Abstract
Traditionally sex hormones have been associated with reproductive and developmental processes only. Since the 1950s we know that hormones can have organizational effects on the developing brain and initiate hormonal transition periods such as puberty. However, recent evidence shows that sex hormones additionally structure the brain during important hormonal transition periods across a woman's life including short-term fluctuations during the menstrual cycle. However, a comprehensive review focusing on structural changes during all hormonal transition phases of women is still missing. Therefore, in this review structural changes across hormonal transition periods (i.e., puberty, menstrual cycle, oral contraceptive intake, pregnancy and menopause) were investigated in a structured way and correlations with sex hormones evaluated. Results show an overall reduction in grey matter and region-specific decreases in prefrontal, parietal and middle temporal areas during puberty. Across the menstrual cycle grey matter plasticity in the hippocampus, the amygdala as well as temporal and parietal regions were most consistently reported. Studies reporting on pre- and post-pregnancy measurements revealed volume reductions in midline structures as well as prefrontal and temporal cortices. During perimenopause, the decline in sex hormones was paralleled with a reduction in hippocampal and parietal cortex volume. Brain volume changes were significantly correlated with estradiol, testosterone and progesterone levels in some studies, but directionality remains inconclusive between studies. These results indicate that sex hormones play an important role in shaping women's brain structure during different transition periods and are not restricted to specific developmental periods.
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Affiliation(s)
- Elisa Rehbein
- Department of Psychiatry and Psychotherapy, Innovative Neuroimaging, University of Tübingen, Tübingen, Germany,
| | - Jonas Hornung
- Department of Psychiatry and Psychotherapy, Innovative Neuroimaging, University of Tübingen, Tübingen, Germany
| | | | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Innovative Neuroimaging, University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- Lead Graduate School, University of Tübingen, Tübingen, Germany
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11
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Kwon D, Pfefferbaum A, Sullivan EV, Pohl KM. Regional growth trajectories of cortical myelination in adolescents and young adults: longitudinal validation and functional correlates. Brain Imaging Behav 2020; 14:242-266. [PMID: 30406353 DOI: 10.1007/s11682-018-9980-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Adolescence is a time of continued cognitive and emotional evolution occurring with continuing brain development involving synaptic pruning and cortical myelination. The hypothesis of this study is that heavy myelination occurs in cortical regions with relatively direct, predetermined circuitry supporting unimodal sensory or motor functions and shows a steep developmental slope during adolescence (12-21 years) until young adulthood (22-35 years) when further myelination decelerates. By contrast, light myelination occurs in regions with highly plastic circuitry supporting complex functions and follows a delayed developmental trajectory. In support of this hypothesis, cortical myelin content was estimated and harmonized across publicly available datasets provided by the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) and the Human Connectome Project (HCP). The cross-sectional analysis of 226 no-to-low alcohol drinking NCANDA adolescents revealed relatively steeper age-dependent trajectories of myelin growth in unimodal primary motor cortex and flatter age-dependent trajectories in multimodal mid/posterior cingulate cortices. This pattern of continued myelination showed smaller gains when the same analyses were performed on 686 young adults of the HCP cohort free of neuropsychiatric diagnoses. Critically, a predicted correlation between a motor task and myelin content in motor or cingulate cortices was found in the NCANDA adolescents, supporting the functional relevance of this imaging neurometric. Furthermore, the regional trajectory slopes were confirmed by performing longitudinally consistent analysis of cortical myelin. In conclusion, coordination of myelin content and circuit complexity continues to develop throughout adolescence, contributes to performance maturation, and may represent active cortical development climaxing in young adulthood.
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Affiliation(s)
- Dongjin Kwon
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Center for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Center for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.
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12
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Gray DT, De La Peña NM, Umapathy L, Burke SN, Engle JR, Trouard TP, Barnes CA. Auditory and Visual System White Matter Is Differentially Impacted by Normative Aging in Macaques. J Neurosci 2020; 40:8913-8923. [PMID: 33051354 PMCID: PMC7659446 DOI: 10.1523/jneurosci.1163-20.2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/06/2020] [Accepted: 10/04/2020] [Indexed: 11/21/2022] Open
Abstract
Deficits in auditory and visual processing are commonly encountered by older individuals. In addition to the relatively well described age-associated pathologies that reduce sensory processing at the level of the cochlea and eye, multiple changes occur along the ascending auditory and visual pathways that further reduce sensory function in each domain. One fundamental question that remains to be directly addressed is whether the structure and function of the central auditory and visual systems follow similar trajectories across the lifespan or sustain the impacts of brain aging independently. The present study used diffusion magnetic resonance imaging and electrophysiological assessments of auditory and visual system function in adult and aged macaques to better understand how age-related changes in white matter connectivity at multiple levels of each sensory system might impact auditory and visual function. In particular, the fractional anisotropy (FA) of auditory and visual system thalamocortical and interhemispheric corticocortical connections was estimated using probabilistic tractography analyses. Sensory processing and sensory system FA were both reduced in older animals compared with younger adults. Corticocortical FA was significantly reduced only in white matter of the auditory system of aged monkeys, while thalamocortical FA was lower only in visual system white matter of the same animals. Importantly, these structural alterations were significantly associated with sensory function within each domain. Together, these results indicate that age-associated deficits in auditory and visual processing emerge in part from microstructural alterations to specific sensory white matter tracts, and not from general differences in white matter condition across the aging brain.SIGNIFICANCE STATEMENT Age-associated deficits in sensory processing arise from structural and functional alterations to both peripheral sensory organs and central brain regions. It remains unclear whether different sensory systems undergo similar or distinct trajectories in function across the lifespan. To provide novel insights into this question, this study combines electrophysiological assessments of auditory and visual function with diffusion MRI in aged macaques. The results suggest that age-related sensory processing deficits in part result from factors that impact the condition of specific white matter tracts, and not from general decreases in connectivity between sensory brain regions. Such anatomic specificity argues for a framework aimed at understanding vulnerabilities with relatively local influence and brain region specificity.
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Affiliation(s)
- Daniel T Gray
- Division of Neural System, Memory and Aging, University of Arizona, Tucson, Arizona 85724
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona 85724
| | - Nicole M De La Peña
- Division of Neural System, Memory and Aging, University of Arizona, Tucson, Arizona 85724
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona 85724
| | - Lavanya Umapathy
- Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85724
| | - Sara N Burke
- Evelyn F. McKnight Brain Institute, University of Florida, Gainesville, Florida 32609
| | - James R Engle
- Division of Neural System, Memory and Aging, University of Arizona, Tucson, Arizona 85724
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona 85724
| | - Theodore P Trouard
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona 85724
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85724
| | - Carol A Barnes
- Division of Neural System, Memory and Aging, University of Arizona, Tucson, Arizona 85724
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona 85724
- Departments of Psychology, Neurology and Neuroscience, University of Arizona, Tucson, Arizona 85724
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13
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Karlsson H, Merisaari H, Karlsson L, Scheinin NM, Parkkola R, Saunavaara J, Lähdesmäki T, Lehtola SJ, Keskinen M, Pelto J, Lewis JD, Tuulari JJ. Association of Cumulative Paternal Early Life Stress With White Matter Maturation in Newborns. JAMA Netw Open 2020; 3:e2024832. [PMID: 33231637 PMCID: PMC7686861 DOI: 10.1001/jamanetworkopen.2020.24832] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
IMPORTANCE Early life stress (ELS) has been shown to affect brain development and health outcomes. Recent animal studies have linked paternal early stress exposures with next-generation outcomes. Epigenetic inheritance through the male germline has been suggested to be one of the mechanisms. OBJECTIVES To test whether paternal ELS, as measured using the Trauma and Distress Scale, is associated with neonate brain development. DESIGN, SETTING, AND PARTICIPANTS This cohort study included data from participants from the prospective 2-generation FinnBrain Birth Cohort, which was collected from 2011 to 2015. Pregnant women and the fathers were consecutively recruited at gestational week 12 from maternity clinics in Finland. Magnetic resonance imaging data were analyzed in 2019. Participants in this study were 72 families (infant, father, mother). EXPOSURE Paternal exposure to ELS. MAIN OUTCOMES AND MEASURES Fractional anisotropy (FA) values in the major white-matter tracts of the newborn brain. RESULTS A total of 72 trios (infant, mother, and father) were analyzed. At the time of delivery, the mean (SD) age was 31.0 (4.4) years for fathers and 30.3 (4.5) years for mothers. Forty-one infants (57%) were boys; mean (SD) child age at inclusion was 26.9 (7.2) days from birth and 205 (8) days from estimated conception. Increasing levels of paternal ELS were associated with higher FA values in the newborn brain in the body of the corpus callosum, right superior corona radiata, and retrolenticular parts of the internal capsule. This association persisted after controlling for maternal ELS, maternal socioeconomic status (SES), maternal body mass index, maternal depressive symptoms during pregnancy, child sex, and child age from birth and gestation corrected age when imaged. In additional region-of-interest analyses, the association between FA values and paternal Trauma and Distress Scale sum scores remained statistically significant in the earliest maturing regions of the brain, eg, the genu of the corpus callosum (in the regression models, β = 0.00096; 95% CI, 0.00034-0.00158; P = .003) and the splenium (β = 0.00090; 95% CI, 0.00000-0.00180; P = .049). CONCLUSIONS AND RELEVANCE This cohort study found a statistically significant association between paternal ELS and offspring brain development. This finding may have far-reaching implications in pediatrics, as it suggests the possibility of a novel route of intergenerational inheritance of ELS on next-generation brain development.
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Affiliation(s)
- Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Harri Merisaari
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Child Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora M. Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tuire Lähdesmäki
- Department of Pediatric Neurology, Turku University Hospital and University of Turku, Turku, Finland
| | - Satu J. Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Maria Keskinen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Juho Pelto
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - John D. Lewis
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jetro J. Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
- Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
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14
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Geeraert BL, Chamberland M, Lebel RM, Lebel C. Multimodal principal component analysis to identify major features of white matter structure and links to reading. PLoS One 2020; 15:e0233244. [PMID: 32797080 PMCID: PMC7428127 DOI: 10.1371/journal.pone.0233244] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 07/31/2020] [Indexed: 11/18/2022] Open
Abstract
The role of white matter in reading has been established by diffusion tensor imaging (DTI), but DTI cannot identify specific microstructural features driving these relationships. Neurite orientation dispersion and density imaging (NODDI), inhomogeneous magnetization transfer (ihMT) and multicomponent driven equilibrium single-pulse observation of T1/T2 (mcDESPOT) can be used to link more specific aspects of white matter microstructure and reading due to their sensitivity to axonal packing and fiber coherence (NODDI) and myelin (ihMT and mcDESPOT). We applied principal component analysis (PCA) to combine DTI, NODDI, ihMT and mcDESPOT measures (10 in total), identify major features of white matter structure, and link these features to both reading and age. Analysis was performed for nine reading-related tracts in 46 neurotypical 6–16 year olds. We identified three principal components (PCs) which explained 79.5% of variance in our dataset. PC1 probed tissue complexity, PC2 described myelin and axonal packing, while PC3 was related to axonal diameter. Mixed effects regression models did not identify any significant relationships between principal components and reading skill. Bayes factor analysis revealed that the absence of relationships was not due to low power. Increasing PC1 in the left arcuate fasciculus with age suggest increases in tissue complexity, while increases of PC2 in the bilateral arcuate, inferior longitudinal, inferior fronto-occipital fasciculi, and splenium suggest increases in myelin and axonal packing with age. Multimodal white matter imaging and PCA provide microstructurally informative, powerful principal components which can be used by future studies of development and cognition. Our findings suggest major features of white matter undergo development during childhood and adolescence, but changes are not linked to reading during this period in our typically-developing sample.
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Affiliation(s)
- Bryce L. Geeraert
- Biomedical Engineering Graduate Program, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- * E-mail:
| | - Maxime Chamberland
- School of Psychology, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff, United Kingdom
| | - R. Marc Lebel
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- GE Healthcare, Calgary, Alberta, Canada
| | - Catherine Lebel
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
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15
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Tirosh A, RaviPrakash H, Papadakis GZ, Tatsi C, Belyavskaya E, Charalampos L, Lodish MB, Bagci U, Stratakis CA. Computerized Analysis of Brain MRI Parameter Dynamics in Young Patients With Cushing Syndrome-A Case-Control Study. J Clin Endocrinol Metab 2020; 105:dgz303. [PMID: 31875913 PMCID: PMC7089850 DOI: 10.1210/clinem/dgz303] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 12/22/2019] [Indexed: 02/04/2023]
Abstract
BACKGROUND Young patients with Cushing Syndrome (CS) may develop cognitive and behavioral alterations during disease course. METHODS To investigate the effects of CS on the brain, we analyzed consecutive MRI scans of patients with (n = 29) versus without CS (n = 8). Multiple brain compartments were processed for total and gray/white matter (GM/WM) volumes and intensities, and cortical volume, thickness, and surface area. Dynamics (last/baseline scans ratio per parameter) were analyzed versus cortisol levels and CS status (persistent, resolved, and non-CS). RESULTS Twenty-four-hour urinary free cortisol (24hUFC) measurements had inverse correlation with the intensity of subcortical GM structures and of the corpus callosum, and with the cerebral WM intensity. 24hUFC dynamics had negative correlation with volume dynamics of multiple cerebral and cerebellar structures. Patients with persistent CS had less of an increase in cortical thickness and WM intensity, and less of a decrease in WM volume compared with patients with resolution of CS. Patients with resolution of their CS had less of an increase in subcortical GM and cerebral WM volumes, but a greater increase in cortical thickness of frontal lobe versus controls. CONCLUSION Changes in WM/GM consistency, intensity, and homogeneity in patients with CS may correlate with CS clinical consequences better than volume dynamics alone.
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Affiliation(s)
- Amit Tirosh
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
- NET Service and Endocrine Oncology Bioinformatics Lab, Sheba Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Ramat Gan, Israel
| | - Harish RaviPrakash
- Center for Research in Computer Vision (CRCV), University of Central Florida, Orlando, Florida
| | - Georgios Z Papadakis
- Computational Biomedicine Laboratory (CBML), Institute of Computer Science (ICS), Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece
- Skeletal Clinical Studies Unit, National Institute of Dental and Craniofacial Research (NIDCR), National Institutes of Health (NIH), Bethesda, Maryland
- Department of Medical Imaging, Heraklion University Hospital, Medical School, University of Crete, Heraklion, Crete, Greece
| | - Christina Tatsi
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Elena Belyavskaya
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Lyssikatos Charalampos
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Maya B Lodish
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Ulas Bagci
- Center for Research in Computer Vision (CRCV), University of Central Florida, Orlando, Florida
| | - Constantine A Stratakis
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
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16
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Ho TC, Colich NL, Sisk LM, Oskirko K, Jo B, Gotlib IH. Sex differences in the effects of gonadal hormones on white matter microstructure development in adolescence. Dev Cogn Neurosci 2020; 42:100773. [PMID: 32452463 PMCID: PMC7058897 DOI: 10.1016/j.dcn.2020.100773] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 01/27/2020] [Accepted: 02/13/2020] [Indexed: 11/17/2022] Open
Abstract
Adolescence is characterized by rapid brain development in white matter (WM) that is attributed in part to surges in gonadal hormones. To date, however, there have been few longitudinal investigations relating changes in gonadal hormones and WM development in adolescents. We acquired diffusion-weighted MRI to estimate mean fractional anisotropy (FA) from 10 WM tracts and salivary testosterone from 51 females and 29 males (ages 9-14 years) who were matched on pubertal stage and followed, on average, for 2 years. We tested whether interactions between sex and changes in testosterone levels significantly explained changes in FA. We found positive associations between changes in testosterone and changes in FA within the corpus callosum, cingulum cingulate, and corticospinal tract in females (all ps<0.05, corrected) and non-significant associations in males. We also collected salivary estradiol from females and found that increases in estradiol were associated with increases in FA in the left uncinate fasciculus (p = 0.04, uncorrected); however, this effect was no longer significant after accounting for changes in testosterone. Our findings indicate there are sex differences in how changes in testosterone relate to changes in WM microstructure of tracts that support impulse control and emotion regulation across the pubertal transition.
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Affiliation(s)
- Tiffany C Ho
- Stanford University, Department of Psychology, Stanford, CA, United States; Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States; University of California, San Francisco, Department of Psychiatry & Weill Institute for Neurosciences, San Francisco, CA, United States.
| | - Natalie L Colich
- University of Washington, Department of Psychology, Seattle, WA, United States
| | - Lucinda M Sisk
- Stanford University, Department of Psychology, Stanford, CA, United States; Yale University, Department of Psychology, New Haven, CT, United States
| | - Kira Oskirko
- Stanford University, Department of Psychology, Stanford, CA, United States
| | - Booil Jo
- Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, United States
| | - Ian H Gotlib
- Stanford University, Department of Psychology, Stanford, CA, United States
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17
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O'Muircheartaigh J, Robinson EC, Pietsch M, Wolfers T, Aljabar P, Grande LC, Teixeira RPAG, Bozek J, Schuh A, Makropoulos A, Batalle D, Hutter J, Vecchiato K, Steinweg JK, Fitzgibbon S, Hughes E, Price AN, Marquand A, Reuckert D, Rutherford M, Hajnal JV, Counsell SJ, Edwards AD. Modelling brain development to detect white matter injury in term and preterm born neonates. Brain 2020; 143:467-479. [PMID: 31942938 PMCID: PMC7009541 DOI: 10.1093/brain/awz412] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 10/30/2019] [Accepted: 11/19/2019] [Indexed: 01/09/2023] Open
Abstract
Premature birth occurs during a period of rapid brain growth. In this context, interpreting clinical neuroimaging can be complicated by the typical changes in brain contrast, size and gyrification occurring in the background to any pathology. To model and describe this evolving background in brain shape and contrast, we used a Bayesian regression technique, Gaussian process regression, adapted to multiple correlated outputs. Using MRI, we simultaneously estimated brain tissue intensity on T1- and T2-weighted scans as well as local tissue shape in a large cohort of 408 neonates scanned cross-sectionally across the perinatal period. The resulting model provided a continuous estimate of brain shape and intensity, appropriate to age at scan, degree of prematurity and sex. Next, we investigated the clinical utility of this model to detect focal white matter injury. In individual neonates, we calculated deviations of a neonate's observed MRI from that predicted by the model to detect punctate white matter lesions with very good accuracy (area under the curve > 0.95). To investigate longitudinal consistency of the model, we calculated model deviations in 46 neonates who were scanned on a second occasion. These infants' voxelwise deviations from the model could be used to identify them from the other 408 images in 83% (T2-weighted) and 76% (T1-weighted) of cases, indicating an anatomical fingerprint. Our approach provides accurate estimates of non-linear changes in brain tissue intensity and shape with clear potential for radiological use.
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Affiliation(s)
- Jonathan O'Muircheartaigh
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK
| | - Emma C Robinson
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
- Department of Bioengineering, Imperial College London, London, UK
| | - Maximillian Pietsch
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Thomas Wolfers
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Paul Aljabar
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Lucilio Cordero Grande
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Rui P A G Teixeira
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Jelena Bozek
- Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
| | - Andreas Schuh
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
| | - Antonios Makropoulos
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
| | - Dafnis Batalle
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Katy Vecchiato
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Johannes K Steinweg
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Sean Fitzgibbon
- Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Emer Hughes
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Anthony N Price
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Andre Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, King’s College London, London, UK
| | - Daniel Reuckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
| | - A David Edwards
- Centre for the Developing Brain, School Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK
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18
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Zou R, El Marroun H, McGrath JJ, Muetzel RL, Hillegers M, White T, Tiemeier H. A prospective population-based study of gestational vitamin D status and brain morphology in preadolescents. Neuroimage 2020; 209:116514. [PMID: 31904491 DOI: 10.1016/j.neuroimage.2020.116514] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 12/19/2019] [Accepted: 01/01/2020] [Indexed: 11/19/2022] Open
Abstract
Low vitamin D level during pregnancy has been associated with adverse neurodevelopmental outcomes such as autism spectrum disorders (ASD) in children. However, the underlying neurobiological mechanism remains largely unknown. This study investigated the association between gestational 25-hydroxyvitamin D [25(OH)D] concentration and brain morphology in 2597 children at the age of 10 years in the population-based Generation R Study. We studied both 25(OH)D in maternal venous blood in mid-gestation and in umbilical cord blood at delivery, in relation to brain volumetric measures and surface-based cortical metrics including cortical thickness, surface area, and gyrification using linear regression. We found exposure to higher maternal 25(OH)D concentrations in mid-gestation was associated with a larger cerebellar volume in children (b = 0.02, 95%CI 0.001 to 0.04), however this association did not remain after correction for multiple comparisons. In addition, children exposed to persistently deficient (i.e., <25 nmol/L) 25(OH)D concentration from mid-gestation to delivery showed less cerebral gray matter and white matter volumes, as well as smaller surface area and less gyrification at 10 years than those with persistently sufficient (i.e., ≥50 nmol/L) 25(OH)D concentration. These results suggest temporal relationships between gestational vitamin D concentration and brain morphological development in children.
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Affiliation(s)
- Runyu Zou
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Psychology, Education, and Child Studies, Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands.
| | - John J McGrath
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland, Australia; Queensland Brain Institute, The University of Queensland, St Lucia, Queensland, Australia; National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Social and Behavioral Sciences, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
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19
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Abstract
BACKGROUND Early intervention is a valuable tool to support the development of toddlers with neurodevelopmental disorders. With recent research advances in early identification that allow for pre-symptomatic detection of autism in infancy, scientists are looking forward to intervention during infancy. These advances may be supported by the identification of biologically based treatment and outcome measures that are sensitive and dimensional. The purpose of this review is to evaluate white matter neurodevelopment as a monitoring biomarker for early treatment of neurodevelopmental disorders. Fragile X syndrome (FXS) and autism spectrum disorder (ASD) as used as exemplars. White matter has unique neurobiology, including a prolonged period of dynamic development. This developmental pattern may make white matter especially responsive to treatment. White matter develops aberrantly in children with ASD and FXS. Histologic studies in rodents have provided targets for FXS pharmacological intervention. However, pharmaceutical clinical trials in humans failed to garner positive clinical results. In this article, we argue that the use of neurobiological monitoring biomarkers may overcome some of these limitations, as they are objective, not susceptible to placebo effects, and are dimensional in nature. SHORT CONCLUSION As the field moves towards earlier detection and early intervention for neurodevelopmental disorders, we encourage scientists to consider the advantages of using neurobiological features as monitoring biomarkers.
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Affiliation(s)
- Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, GR41, 800 W. Campbell Road, Richardson, TX, 75080-3021, USA.
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA
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20
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Aziz NM, Klein JA, Brady MR, Olmos-Serrano JL, Gallo V, Haydar TF. Spatiotemporal development of spinal neuronal and glial populations in the Ts65Dn mouse model of Down syndrome. J Neurodev Disord 2019; 11:35. [PMID: 31839007 PMCID: PMC6913030 DOI: 10.1186/s11689-019-9294-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 11/11/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Down syndrome (DS), caused by the triplication of chromosome 21, results in a constellation of clinical features including changes in intellectual and motor function. Although altered neural development and function have been well described in people with DS, few studies have investigated the etiology underlying the observed motor phenotypes. Here, we examine the development, patterning, and organization of the spinal cord throughout life in the Ts65Dn mouse, a model that recapitulates many of the motor changes observed in people with DS. METHODS Spinal cords from embryonic to adult animals were processed for gene and protein expression (immunofluorescence) to track the spatiotemporal development of excitatory and inhibitory neurons and oligodendroglia. Postnatal analyses were focused on the lumbar region due to the reflex and gait abnormalities found in Ts65Dn mice and locomotive alterations seen in people with DS. RESULTS Between embryonic days E10.5 and E14.5, we found a larger motor neuron progenitor domain in Ts65Dn animals containing more OLIG2-expressing progenitor cells. These disturbed progenitors are delayed in motor neuron production but eventually generate a large number of ISL1+ migrating motor neurons. We found that higher numbers of PAX6+ and NKX2.2+ interneurons (INs) are also produced during this time frame. In the adult lumbar spinal cord, we found an increased level of Hb9 and a decreased level of Irx3 gene expression in trisomic animals. This was accompanied by an increase in Calretinin+ INs, but no changes in other neuronal populations. In aged Ts65Dn animals, both Calbindin+ and ChAT+ neurons were decreased compared to euploid controls. Additionally, in the dorsal corticospinal white matter tract, there were significantly fewer CC1+ mature OLs in 30- and 60-day old trisomic animals and this normalized to euploid levels at 10-11 months. In contrast, the mature OL population was increased in the lateral funiculus, an ascending white matter tract carrying sensory information. In 30-day old animals, we also found a decrease in the number of nodes of Ranvier in both tracts. This decrease normalized both in 60-day old and aged animals. CONCLUSIONS We show marked changes in both spinal white matter and neuronal composition that change regionally over the life span. In the embryonic Ts65Dn spinal cord, we observe alterations in motor neuron production and migration. In the adult spinal cord, we observe changes in oligodendrocyte maturation and motor neuron loss, the latter of which has also been observed in human spinal cord tissue samples. This work uncovers multiple cellular perturbations during Ts65Dn development and aging, many of which may underlie the motor deficits found in DS.
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Affiliation(s)
- Nadine M. Aziz
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
| | - Jenny A. Klein
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
| | - Morgan R. Brady
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
| | - Jose Luis Olmos-Serrano
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
| | - Vittorio Gallo
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
| | - Tarik F. Haydar
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118 USA
- Center for Neuroscience Research and District of Columbia Intellectual and Developmental Disabilities Research Center, Children’s National Hospital, Washington, DC 20010 USA
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21
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Abstract
Perinatal brain injury (PBI) to the developing white matter results in hypomyelination of axons and can cause long-term motor and cognitive deficits e.g. cerebral palsy. There are currently no approved therapies aimed at repairing the white matter following insult, underscoring the need to investigate the mechanisms underlying the pathogenesis of PBI. Microglia have been strongly implicated, but their function and heterogeneity in this context remain poorly understood, posing a barrier to the development of microglia-targeted therapies for white matter repair following PBI. In this review, we discuss the roles of microglia in normal white matter development and in PBI, and potential drug strategies to influence microglial responses in this setting.
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Affiliation(s)
- Niamh B McNamara
- Medical Research Council Centre for Reproductive Health, The Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Veronique E Miron
- Medical Research Council Centre for Reproductive Health, The Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, United Kingdom.
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22
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Natu VS, Gomez J, Barnett M, Jeska B, Kirilina E, Jaeger C, Zhen Z, Cox S, Weiner KS, Weiskopf N, Grill-Spector K. Apparent thinning of human visual cortex during childhood is associated with myelination. Proc Natl Acad Sci U S A 2019; 116:20750-20759. [PMID: 31548375 PMCID: PMC6789966 DOI: 10.1073/pnas.1904931116] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Human cortex appears to thin during childhood development. However, the underlying microstructural mechanisms are unknown. Using functional magnetic resonance imaging (fMRI), quantitative MRI (qMRI), and diffusion MRI (dMRI) in children and adults, we tested what quantitative changes occur to gray and white matter in ventral temporal cortex (VTC) from childhood to adulthood, and how these changes relate to cortical thinning. T1 relaxation time from qMRI and mean diffusivity (MD) from dMRI provide independent and complementary measurements of microstructural properties of gray and white matter tissue. In face- and character-selective regions in lateral VTC, T1 and MD decreased from age 5 to adulthood in mid and deep cortex, as well as in their adjacent white matter. T1 reduction also occurred longitudinally in children's brain regions. T1 and MD decreases 1) were consistent with tissue growth related to myelination, which we verified with adult histological myelin stains, and 2) were correlated with apparent cortical thinning. In contrast, in place-selective cortex in medial VTC, we found no development of T1 or MD after age 5, and thickness was related to cortical morphology. These findings suggest that lateral VTC likely becomes more myelinated from childhood to adulthood, affecting the contrast of MR images and, in turn, the apparent gray-white boundary. These findings are important because they suggest that VTC does not thin during childhood but instead gets more myelinated. Our data have broad ramifications for understanding both typical and atypical brain development using advanced in vivo quantitative measurements and clinical conditions implicating myelin.
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Affiliation(s)
- Vaidehi S Natu
- Department of Psychology, Stanford University, Stanford, CA 94305;
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390
| | - Jesse Gomez
- Neurosciences Program, Stanford University School of Medicine, Stanford, CA 94305
| | - Michael Barnett
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
| | - Brianna Jeska
- Department of Psychology, Stanford University, Stanford, CA 94305
| | - Evgeniya Kirilina
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
- Center for Cognitive Neuroscience Berlin, Free University Berlin, 14195 Berlin, Germany
| | - Carsten Jaeger
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Zonglei Zhen
- Department of Psychology, Stanford University, Stanford, CA 94305
| | - Siobhan Cox
- Department of Psychology, Stanford University, Stanford, CA 94305
| | - Kevin S Weiner
- Department of Psychology, University of California, Berkeley, CA 94720
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, CA 94305
- Neurosciences Program, Stanford University School of Medicine, Stanford, CA 94305
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305
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23
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Cayam-Rand D, Guo T, Grunau RE, Benavente-Fernández I, Synnes A, Chau V, Branson H, Latal B, McQuillen P, Miller SP. Predicting developmental outcomes in preterm infants: A simple white matter injury imaging rule. Neurology 2019; 93:e1231-e1240. [PMID: 31467250 PMCID: PMC7011867 DOI: 10.1212/wnl.0000000000008172] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/03/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To develop a simple imaging rule to predict neurodevelopmental outcomes at 4.5 years in a cohort of preterm neonates with white matter injury (WMI) based on lesion location and examine whether clinical variables enhance prediction. METHODS Sixty-eight preterm neonates born 24-32 weeks' gestation (median 27.7 weeks) were diagnosed with WMI on early brain MRI scans (median 32.3 weeks). 3D T1-weighted images of 60 neonates with 4.5-year outcomes were reformatted and aligned to the posterior commissure-eye plane and WMI was classified by location: anterior or posterior-only to the midventricle line on the reformatted axial plane. Adverse outcomes at 4.5 years were defined as Wechsler Preschool and Primary Scale of Intelligence full-scale IQ <85, cerebral palsy, or Movement Assessment Battery for Children, second edition percentile <5. The prediction of adverse outcome by WMI location, intraventricular hemorrhage (IVH), bronchopulmonary dysplasia (BPD), and retinopathy of prematurity (ROP) was assessed using multivariable logistic regression. RESULTS Six children had adverse cognitive outcomes and 17 had adverse motor outcomes. WMI location predicted cognitive outcomes in 90% (area under receiver operating characteristic curve [AUC] 0.80) and motor outcomes in 85% (AUC 0.75). Adding IVH, BPD, and ROP to the model enhances the predictive strength for cognitive and motor outcomes (AUC 0.83 and 0.88, respectively). Rule performance was confirmed in an independent cohort of children with WMI. CONCLUSIONS WMI on early MRI can be classified by location to predict preschool age outcomes in children born preterm. The predictive value of this WMI classification is enhanced by considering clinical factors apparent by term-equivalent age.
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Affiliation(s)
- Dalit Cayam-Rand
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Ting Guo
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Ruth E Grunau
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Isabel Benavente-Fernández
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Anne Synnes
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Vann Chau
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Helen Branson
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Beatrice Latal
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Patrick McQuillen
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco
| | - Steven P Miller
- From the Departments of Paediatrics (Neurology) (D.C.-R., T.G., I.B.-F., V.C., S.P.M.) and Radiology (H.B.), The Hospital for Sick Children and the University of Toronto; BC Children's Hospital Research Institute (R.E.G., A.S.); Department of Pediatrics (Neonatology) (R.E.G., A.S.), University of British Columbia and BC Women's Hospital and Health Centre, Vancouver, Canada; Department of Pediatrics (Neonatology) (I.B.-F.), University Hospital Puerta del Mar, Cadiz, Spain; Department of Pediatrics (Child Development Center) (B.L.), University Children's Hospital Zurich, Switzerland; and Department of Pediatrics (P.M.), University of California, San Francisco.
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24
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Gerner GJ, Newman EI, Burton VJ, Roman B, Cristofalo EA, Leppert M, Johnston MV, Northington FJ, Huisman TA, Poretti A. Correlation Between White Matter Injury Identified by Neonatal Diffusion Tensor Imaging and Neurodevelopmental Outcomes Following Term Neonatal Asphyxia and Therapeutic Hypothermia: An Exploratory Pilot Study. J Child Neurol 2019; 34:556-566. [PMID: 31070085 PMCID: PMC7318916 DOI: 10.1177/0883073819841717] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
AIM Hypoxic-ischemic encephalopathy is associated with damage to deep gray matter; however, white matter involvement has become recognized. This study explored differences between patients and clinical controls on diffusion tensor imaging, and relationships between diffusion tensor imaging and neurodevelopmental outcomes. METHOD Diffusion tensor imaging was obtained for 31 neonates after hypoxic-ischemic encephalopathy treated with therapeutic hypothermia and 10 clinical controls. A subgroup of patients with hypoxic-ischemic encephalopathy (n = 14) had neurodevelopmental outcomes correlated with diffusion tensor imaging scalars. RESULTS Group differences in diffusion tensor imaging scalars were observed in the putamen, anterior and posterior centrum semiovale, and the splenium of the corpus callosum. Differences in these regions of interest were correlated with neurodevelopmental outcomes between ages 20 and 32 months. CONCLUSION Therapeutic hypothermia may not be a complete intervention for hypoxic-ischemic encephalopathy, as neonatal white matter changes may continue to be evident, but further research is warranted. Patterns of white matter change on neonatal diffusion tensor imaging correlated with neurodevelopmental outcomes in this exploratory pilot study.
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Affiliation(s)
- Gwendolyn J. Gerner
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Eric I. Newman
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science
| | - V. Joanna Burton
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Brenton Roman
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD USA
| | - Elizabeth A. Cristofalo
- Frederick Memorial Hospital, Department of Neonatology, Frederick, MD, USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Mary Leppert
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Michael V. Johnston
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD USA
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD USA
- Hugo Moser Research Institute, Kennedy Krieger Institute, Baltimore, MD USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Frances J. Northington
- Department of Perinatal-Neonatal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD USA
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Thierry A.G.M. Huisman
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Andrea Poretti
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD USA
- Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science
- Neurosciences Intensive Care Nursery, The Johns Hopkins University School of Medicine, Baltimore, MD USA
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25
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Garnett EO, Chow HM, Chang SE. Neuroanatomical Correlates of Childhood Stuttering: MRI Indices of White and Gray Matter Development That Differentiate Persistence Versus Recovery. J Speech Lang Hear Res 2019; 62:2986-2998. [PMID: 31465710 PMCID: PMC6813035 DOI: 10.1044/2019_jslhr-s-csmc7-18-0356] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Purpose We review two recent neuroanatomical studies of children who stutter (CWS), one that examines white matter integrity and the other that focuses on cortical gray matter morphology. In both studies, we sought to examine differences between children whose stuttering persists ("persistent"), children who recovered from stuttering ("recovered"), and their nonstuttering peers ("controls"). Method Both of the reviewed studies use data from a large pediatric sample spanning preschool- to school-age children (3-10 years old at initial testing). Study 1 focused on surface-based measures of cortical size (thickness) and shape (gyrification) using structural magnetic resonance imaging, whereas Study 2 utilized diffusion tensor imaging to examine white matter integrity. Results In both studies, the main difference that emerged between CWS and fluent peers encompassed left hemisphere speech motor areas that are interconnected via the arcuate fasciculus. In the case of white matter integrity, the temporoparietal junction and posterior superior temporal gyrus, both connected via the left arcuate fasciculus, and regions along the corpus callosum that contain fibers connecting bilateral motor regions were significantly decreased in white matter integrity in CWS compared to controls. In the morphometric study, children who would go on to have persistent stuttering specifically had lower cortical thickness in ventral motor and premotor areas of the left hemisphere. Conclusion These results point to aberrant development of cortical areas involved in integrating sensory feedback with speech movements in CWS and differences in interhemispheric connectivity between the two motor cortices. Furthermore, developmental trajectories in these areas seem to diverge between persistent and recovered cases.
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Affiliation(s)
| | - Ho Ming Chow
- Katzin Diagnostic & Research PET/MRI Center, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE
| | - Soo-Eun Chang
- Department of Psychiatry, University of Michigan, Ann Arbor
- Department of Communicative Sciences and Disorders, Michigan State University, East Lansing
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26
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Romanowicz J, Leonetti C, Dhari Z, Korotcova L, Ramachandra SD, Saric N, Morton PD, Bansal S, Cheema A, Gallo V, Jonas RA, Ishibashi N. Treatment With Tetrahydrobiopterin Improves White Matter Maturation in a Mouse Model for Prenatal Hypoxia in Congenital Heart Disease. J Am Heart Assoc 2019; 8:e012711. [PMID: 31331224 PMCID: PMC6761654 DOI: 10.1161/jaha.119.012711] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 06/24/2019] [Indexed: 01/05/2023]
Abstract
Background Reduced oxygen delivery in congenital heart disease causes delayed brain maturation and white matter abnormalities in utero. No treatment currently exists. Tetrahydrobiopterin (BH4) is a cofactor for neuronal nitric oxide synthase. BH4 availability is reduced upon NOS activation, such as during hypoxic conditions, and leads to toxin production. We hypothesize that BH4 levels are depleted in the hypoxic brain and that BH4 replacement therapy mitigates the toxic effects of hypoxia on white matter. Methods and Results Transgenic mice were used to visualize oligodendrocytes. Hypoxia was introduced during a period of white matter development equivalent to the human third trimester. BH4 was administered during hypoxia. BH4 levels were depleted in the hypoxic brain by direct quantification (n=7-12). The proliferation (n=3-6), apoptosis (n=3-6), and developmental stage (n=5-8) of oligodendrocytes were determined immunohistologically. Total oligodendrocytes increased after hypoxia, consistent with hypoxia-induced proliferation seen previously; however, mature oligodendrocytes were less prevalent in hypoxia, and there was accumulation of immature oligodendrocytes. BH4 treatment improved the mature oligodendrocyte number such that it did not differ from normoxia, and accumulation of immature oligodendrocytes was not observed. These results persisted beyond the initial period of hypoxia (n=3-4). Apoptosis increased with hypoxia but decreased with BH4 treatment to normoxic levels. White matter myelin levels decreased following hypoxia by western blot. BH4 treatment normalized myelination (n=6-10). Hypoxia worsened sensory-motor coordination on balance beam tasks, and BH4 therapy normalized performance (n=5-9). Conclusions Suboptimal BH4 levels influence hypoxic white matter abnormalities. Repurposing BH4 for use during fetal brain development may limit white matter dysmaturation in congenital heart disease.
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Affiliation(s)
- Jennifer Romanowicz
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
| | - Camille Leonetti
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Zaenab Dhari
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Ludmila Korotcova
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Shruti D. Ramachandra
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Nemanja Saric
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Paul D. Morton
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Shivani Bansal
- Lombardi Comprehensive Cancer CenterGeorgetown University Medical CenterWashingtonDC
| | - Amrita Cheema
- Lombardi Comprehensive Cancer CenterGeorgetown University Medical CenterWashingtonDC
| | - Vittorio Gallo
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Richard A. Jonas
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
| | - Nobuyuki Ishibashi
- Children's National Heart InstituteChildren's National Health SystemWashingtonDC
- Center for Neuroscience ResearchChildren's National Health SystemWashingtonDC
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Ziegler G, Hauser TU, Moutoussis M, Bullmore ET, Goodyer IM, Fonagy P, Jones PB, Lindenberger U, Dolan RJ. Compulsivity and impulsivity traits linked to attenuated developmental frontostriatal myelination trajectories. Nat Neurosci 2019; 22:992-999. [PMID: 31086316 PMCID: PMC7610393 DOI: 10.1038/s41593-019-0394-3] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 03/25/2019] [Indexed: 01/06/2023]
Abstract
The transition from adolescence to adulthood is a period when ongoing brain development coincides with a substantially increased risk of psychiatric disorders. The developmental brain changes accounting for this emergent psychiatric symptomatology remain obscure. Capitalizing on a unique longitudinal dataset that includes in vivo myelin-sensitive magnetization transfer (MT) MRI scans, we show that this developmental period is characterized by brain-wide growth in MT trajectories within both gray matter and adjacent juxtacortical white matter. In this healthy population, the expression of common developmental traits, namely compulsivity and impulsivity, is tied to a reduced growth of these MT trajectories in frontostriatal regions. This reduction is most marked in dorsomedial and dorsolateral prefrontal regions for compulsivity and in lateral and medial prefrontal regions for impulsivity. These findings highlight that psychiatric traits of compulsivity and impulsivity are linked to regionally specific reductions in myelin-related growth in late adolescent brain development.
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Affiliation(s)
- Gabriel Ziegler
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK.
- Wellcome Centre for Human Neuroimaging, University College London, London, UK.
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
| | - Tobias U Hauser
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK.
- Wellcome Centre for Human Neuroimaging, University College London, London, UK.
| | - Michael Moutoussis
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
- Medical Research Council/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- ImmunoPsychiatry, GlaxoSmithKline Research and Development, Stevenage, UK
| | - Ian M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
| | - Ulman Lindenberger
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Raymond J Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
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Pecheva D, Tournier JD, Pietsch M, Christiaens D, Batalle D, Alexander DC, Hajnal JV, Edwards AD, Zhang H, Counsell SJ. Fixel-based analysis of the preterm brain: Disentangling bundle-specific white matter microstructural and macrostructural changes in relation to clinical risk factors. Neuroimage Clin 2019; 23:101820. [PMID: 30991305 PMCID: PMC6462822 DOI: 10.1016/j.nicl.2019.101820] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 04/05/2019] [Accepted: 04/07/2019] [Indexed: 12/13/2022]
Abstract
Diffusion MRI (dMRI) studies using the tensor model have identified abnormal white matter development associated with perinatal risk factors in preterm infants studied at term equivalent age (TEA). However, this model is an oversimplification of the underlying neuroanatomy. Fixel-based analysis (FBA) is a novel quantitative framework, which identifies microstructural and macrostructural changes in individual fibre populations within voxels containing crossing fibres. The aim of this study was to apply FBA to investigate the relationship between fixel-based measures of apparent fibre density (FD), fibre bundle cross-section (FC), and fibre density and cross-section (FDC) and perinatal risk factors in preterm infants at TEA. We studied 50 infants (28 male) born at 24.0-32.9 (median 30.4) weeks gestational age (GA) and imaged at 38.6-47.1 (median 42.1) weeks postmenstrual age (PMA). dMRI data were acquired in non-collinear directions with b-value 2500 s/mm2 on a 3 Tesla system sited on the neonatal intensive care unit. FBA was performed to assess the relationship between FD, FC, FDC and PMA at scan, GA at birth, days on mechanical ventilation, days on total parenteral nutrition (TPN), birthweight z-score, and sex. FBA reveals fibre population-specific alterations in FD, FC and FDC associated with clinical risk factors. FD was positively correlated with GA at birth and was negatively correlated with number of days requiring ventilation. FC was positively correlated with GA at birth, birthweight z-scores and was higher in males. FC was negatively correlated with number of days on ventilation and days on TPN. FDC was positively correlated with GA at birth and birthweight z-scores, negatively correlated with days on ventilation and days on TPN and higher in males. We demonstrate that these relationships are fibre-specific even within regions of crossing fibres. These results show that aberrant white matter development involves both microstructural changes and macrostructural alterations.
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Affiliation(s)
- Diliana Pecheva
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Maximilian Pietsch
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Daan Christiaens
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King''s College London, UK
| | - Daniel C Alexander
- Department of Computer Science and Centre for Medical Image Computing, University College London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King''s College London, UK.
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Ardesch DJ, Scholtens LH, Li L, Preuss TM, Rilling JK, van den Heuvel MP. Evolutionary expansion of connectivity between multimodal association areas in the human brain compared with chimpanzees. Proc Natl Acad Sci U S A 2019; 116:7101-7106. [PMID: 30886094 PMCID: PMC6452697 DOI: 10.1073/pnas.1818512116] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The development of complex cognitive functions during human evolution coincides with pronounced encephalization and expansion of white matter, the brain's infrastructure for region-to-region communication. We investigated adaptations of the human macroscale brain network by comparing human brain wiring with that of the chimpanzee, one of our closest living primate relatives. White matter connectivity networks were reconstructed using diffusion-weighted MRI in humans (n = 57) and chimpanzees (n = 20) and then analyzed using network neuroscience tools. We demonstrate higher network centrality of connections linking multimodal association areas in humans compared with chimpanzees, together with a more pronounced modular topology of the human connectome. Furthermore, connections observed in humans but not in chimpanzees particularly link multimodal areas of the temporal, lateral parietal, and inferior frontal cortices, including tracts important for language processing. Network analysis demonstrates a particularly high contribution of these connections to global network integration in the human brain. Taken together, our comparative connectome findings suggest an evolutionary shift in the human brain toward investment of neural resources in multimodal connectivity facilitating neural integration, combined with an increase in language-related connectivity supporting functional specialization.
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Affiliation(s)
- Dirk Jan Ardesch
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands
| | - Lianne H Scholtens
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands
| | - Longchuan Li
- Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, GA 30329
| | - Todd M Preuss
- Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329
- Center for Translational Social Neuroscience, Emory University, Atlanta, GA 30329
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30307
| | - James K Rilling
- Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329
- Center for Translational Social Neuroscience, Emory University, Atlanta, GA 30329
- Department of Anthropology, Emory University, Atlanta, GA 30322
- Silvio O. Conte Center for Oxytocin and Social Cognition, Emory University, Atlanta, GA 30322
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA 30322
| | - Martijn P van den Heuvel
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands;
- Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Department of Clinical Genetics, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands
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30
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Lebel C, Benischek A, Geeraert B, Holahan J, Shaywitz S, Bakhshi K, Shaywitz B. Developmental trajectories of white matter structure in children with and without reading impairments. Dev Cogn Neurosci 2019; 36:100633. [PMID: 30877928 PMCID: PMC6969254 DOI: 10.1016/j.dcn.2019.100633] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 01/20/2019] [Accepted: 03/05/2019] [Indexed: 11/26/2022] Open
Abstract
Left temporal-parietal white matter structure is consistently associated with reading abilities in children. A small number of longitudinal studies show that development of this area over time is altered in children with impaired reading. However, it remains unclear how brain developmental patterns relate to specific reading skills such as fluency, which is a critical part of reading comprehension. Here, we examined white matter development trajectories in children with dysfluent reading (20 dysfluent and inaccurate readers, 36 dysfluent and accurate readers) compared to non-impaired readers (n = 14) over 18 months. We found typical age-related increases of fractional anisotropy (FA) in bilateral temporal-parietal areas in non-impaired readers, but a lack of similar changes in dysfluent readers. We also found steeper decreases of mean diffusivity (MD) in the right corona radiata and left uncinate fasciculus in dysfluent inaccurate readers compared to dysfluent accurate readers. Changes in diffusion parameters were correlated with changes in reading scores over time. These results suggest delayed white matter development in dysfluent readers, and show maturational differences between children with different types of reading impairment. Overall, these results highlight the importance of considering developmental trajectories, and demonstrate that the window of plasticity may be different for different children.
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Affiliation(s)
- Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Biomedical Engineering Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
| | - Alina Benischek
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Bryce Geeraert
- Biomedical Engineering Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - John Holahan
- The Yale Center for Dyslexia and Creativity, Yale University, New Haven, CT, United States
| | - Sally Shaywitz
- The Yale Center for Dyslexia and Creativity, Yale University, New Haven, CT, United States
| | - Kirran Bakhshi
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Bennett Shaywitz
- The Yale Center for Dyslexia and Creativity, Yale University, New Haven, CT, United States
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31
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Lebel C, Treit S, Beaulieu C. A review of diffusion MRI of typical white matter development from early childhood to young adulthood. NMR Biomed 2019; 32:e3778. [PMID: 28886240 DOI: 10.1002/nbm.3778] [Citation(s) in RCA: 199] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 05/24/2017] [Accepted: 07/05/2017] [Indexed: 05/05/2023]
Abstract
Understanding typical, healthy brain development provides a baseline from which to detect and characterize brain anomalies associated with various neurological or psychiatric disorders and diseases. Diffusion MRI is well suited to study white matter development, as it can virtually extract individual tracts and yield parameters that may reflect alterations in the underlying neural micro-structure (e.g. myelination, axon density, fiber coherence), though it is limited by its lack of specificity and other methodological concerns. This review summarizes the last decade of diffusion imaging studies of healthy white matter development spanning childhood to early adulthood (4-35 years). Conclusions about anatomical location, rates, and timing of white matter development with age are discussed, as well as the influence of image acquisition, analysis, age range/sample size, and statistical model. Despite methodological variability between studies, some consistent findings have emerged from the literature. Specifically, diffusion studies of neurodevelopment overwhelmingly demonstrate regionally varying increases of fractional anisotropy and decreases of mean diffusivity during childhood and adolescence, some of which continue into adulthood. While most studies use linear fits to model age-related changes, studies with sufficient sample sizes and age range provide clear evidence that white matter development (as indicated by diffusion) is non-linear. Several studies further suggest that maturation in association tracts with frontal-temporal connections continues later than commissural and projection tracts. The emerging contributions of more advanced diffusion methods are also discussed, as they may reveal new aspects of white matter development. Although non-specific, diffusion changes may reflect increases of myelination, axonal packing, and/or coherence with age that may be associated with changes in cognition.
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Affiliation(s)
- Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Sarah Treit
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
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32
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Kubicki M, Baxi M, Pasternak O, Tang Y, Karmacharya S, Chunga N, Lyall AE, Rathi Y, Eckbo R, Bouix S, Mortazavi F, Papadimitriou G, Shenton ME, Westin CF, Killiany R, Makris N, Rosene DL. Lifespan Trajectories of White Matter Changes in Rhesus Monkeys. Cereb Cortex 2019; 29:1584-1593. [PMID: 29701751 PMCID: PMC6418383 DOI: 10.1093/cercor/bhy056] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 02/05/2018] [Indexed: 12/11/2022] Open
Abstract
Progress in neurodevelopmental brain research has been achieved through the use of animal models. Such models not only help understanding biological changes that govern brain development, maturation and aging, but are also essential for identifying possible mechanisms of neurodevelopmental and age-related chronic disorders, and to evaluate possible interventions with potential relevance to human disease. Genetic relationship of rhesus monkeys to humans makes those animals a great candidate for such models. With the typical lifespan of 25 years, they undergo cognitive maturation and aging that is similar to this observed in humans. Quantitative structural neuroimaging has been proposed as one of the candidate in vivo biomarkers for tracking white matter brain maturation and aging. While lifespan trajectories of white matter changes have been mapped in humans, such knowledge is not available for nonhuman primates. Here, we analyze and model lifespan trajectories of white matter microstructure using in vivo diffusion imaging in a sample of 44 rhesus monkeys. We report quantitative parameters (including slopes and peaks) of lifespan trajectories for 8 individual white matter tracts. We show different trajectories for cellular and extracellular microstructural imaging components that are associated with white matter maturation and aging, and discuss similarities and differences between those in humans and rhesus monkeys, the importance of our findings, and future directions for the field. Significance Statement: Quantitative structural neuroimaging has been proposed as one of the candidate in vivo biomarkers for tracking brain maturation and aging. While lifespan trajectories of structural white matter changes have been mapped in humans, such knowledge is not available for rhesus monkeys. We present here results of the analysis and modeling of the lifespan trajectories of white matter microstructure using in vivo diffusion imaging in a sample of 44 rhesus monkeys (age 4-27). We report and anatomically map lifespan changes related to cellular and extracellular microstructural components that are associated with white matter maturation and aging.
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Affiliation(s)
- M Kubicki
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - M Baxi
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - O Pasternak
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Y Tang
- Department of EEG Source Imaging, Shanghai Mental Health Center, Shanghai, China
| | - S Karmacharya
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - N Chunga
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - A E Lyall
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Y Rathi
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - R Eckbo
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - S Bouix
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - F Mortazavi
- Department of Anatomy and Neurobiology, Boston University, Boston, MA, USA
| | - G Papadimitriou
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - M E Shenton
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton, MA, USA
| | - C F Westin
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - R Killiany
- Department of Anatomy and Neurobiology, Boston University, Boston, MA, USA
| | - N Makris
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - D L Rosene
- Department of Anatomy and Neurobiology, Boston University, Boston, MA, USA
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33
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Scheuer T, Klein LS, Bührer C, Endesfelder S, Schmitz T. Transient Improvement of Cerebellar Oligodendroglial Development in a Neonatal Hyperoxia Model by PDGFA Treatment. Dev Neurobiol 2019; 79:222-235. [PMID: 30674088 DOI: 10.1002/dneu.22667] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/10/2019] [Accepted: 01/12/2019] [Indexed: 12/13/2022]
Abstract
In preterm infants, the changes from fetal life to ex-utero conditions often coincide with reduced growth and white matter damage of the cerebellum. The premature increase in arterial oxygen tension caused by preterm birth may dysregulate cerebellar development. In a hyperoxia rat model of white matter damage to mimic a steep increase in oxygen levels by 24 h exposure to 80% O2 from postnatal day 6 (P6) to day 7, we analyzed growth factor (GF) synthesis of cerebellar astrocytes. Determination of GF production was performed in astrocytes after Magnetic-activated cell sorting (MACS) isolation from cerebelli after hyperoxia exposure ex vivo, and also in astroglial cultures. Oligodendrocyte progenitor cell (OPC) function was analyzed in cerebellar OPCs isolated by MACS after hyperoxia. Administration of PDGFA from P6 to P11, during hyperoxia and during 4 days recovery, was finally tested for protection of oligodendroglia and myelination. As a result, expression of the GFs Pdgfa, Fgf2, and Bdnf was diminished in cerebellar astrocytes in vitro and in vivo. Gene expression of Olig1, Olig2, Sox9, Sox10, and Cnp was reduced in OPCs in vivo. Nasal PDGFA application improved oligodendroglial proliferation after hyperoxia at P7. However, this treatment effect vanished until P9. Impaired MBP expression after hyperoxia was attenuated by PDGFA treatment until P11, but not beyond when PDGFA supply was stopped. In this study on neonatal cerebellar injury, it is documented for the first time that improvement of oligodendroglial proliferation and of myelination can be achieved by PDGFA treatment. However, the treatment benefit is not maintained long term.
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Affiliation(s)
- Till Scheuer
- Department for Neonatology, Charité University Medical Center, Berlin, Germany
| | - Luisa Sophie Klein
- Department for Neonatology, Charité University Medical Center, Berlin, Germany
| | - Christoph Bührer
- Department for Neonatology, Charité University Medical Center, Berlin, Germany
| | | | - Thomas Schmitz
- Department for Neonatology, Charité University Medical Center, Berlin, Germany
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Gou X, Tang Y, Qu Y, Xiao D, Ying J, Mu D. Could the inhibitor of DNA binding 2 and 4 play a role in white matter injury? Rev Neurosci 2019; 30:625-638. [PMID: 30738015 DOI: 10.1515/revneuro-2018-0090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 11/02/2018] [Indexed: 01/12/2023]
Abstract
Abstract
White matter injury (WMI) prevents the normal development of myelination, leading to central nervous system myelination disorders and the production of chronic sequelae associated with WMI, such as chronic dyskinesia, cognitive impairment and cerebral palsy. This results in a large emotional and socioeconomic burden. Decreased myelination in preterm infant WMI is associated with the delayed development or destruction of oligodendrocyte (OL) lineage cells, particularly oligodendrocyte precursor cells (OPCs). The development of cells from the OL lineage involves the migration, proliferation and different stages of OL differentiation, finally leading to myelination. A series of complex intrinsic, extrinsic and epigenetic factors regulate the OPC cell cycle withdrawal, OL lineage progression and myelination. We focus on the inhibitor of DNA binding 2 (ID2), because it is widely involved in the different stages of OL differentiation and genesis. ID2 is a key transcription factor for the normal development of OL lineage cells, and the pathogenesis of WMI is closely linked with OL developmental disorders. ID4, another family member of the IDs protein, also plays a similar role in OL differentiation and genesis. ID2 and ID4 belong to the helix-loop-helix family; they lack the DNA-binding sequences and inhibit oligodendrogenesis and OPC differentiation. In this review, we mainly discuss the roles of ID2 in OL development, especially during OPC differentiation, and summarize the ID2-mediated intracellular and extracellular signaling pathways that regulate these processes. We also discuss ID4 in relation to bone morphogenetic protein signaling and oligodendrogenesis. It is likely that these developmental mechanisms are also involved in the myelin repair or remyelination in human neurological diseases.
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Affiliation(s)
- Xiaoyun Gou
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
| | - Ying Tang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
| | - Dongqiong Xiao
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
| | - Junjie Ying
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu 610041, China
- Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu 610041, China
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Pietsch M, Christiaens D, Hutter J, Cordero-Grande L, Price AN, Hughes E, Edwards AD, Hajnal JV, Counsell SJ, Tournier JD. A framework for multi-component analysis of diffusion MRI data over the neonatal period. Neuroimage 2019; 186:321-337. [PMID: 30391562 PMCID: PMC6347572 DOI: 10.1016/j.neuroimage.2018.10.060] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 10/17/2018] [Accepted: 10/22/2018] [Indexed: 12/11/2022] Open
Abstract
We describe a framework for creating a time-resolved group average template of the developing brain using advanced multi-shell high angular resolution diffusion imaging data, for use in group voxel or fixel-wise analysis, atlas-building, and related applications. This relies on the recently proposed multi-shell multi-tissue constrained spherical deconvolution (MSMT-CSD) technique. We decompose the signal into one isotropic component and two anisotropic components, with response functions estimated from cerebrospinal fluid and white matter in the youngest and oldest participant groups, respectively. We build an orientationally-resolved template of those tissue components from data acquired from 113 babies between 33 and 44 weeks postmenstrual age, imaged as part of the Developing Human Connectome Project. These data were split into weekly groups, and registered to the corresponding group average templates using a previously-proposed non-linear diffeomorphic registration framework, designed to align orientation density functions (ODF). This framework was extended to allow the use of the multiple contrasts provided by the multi-tissue decomposition, and shown to provide superior alignment. Finally, the weekly templates were registered to the same common template to facilitate investigations into the evolution of the different components as a function of age. The resulting multi-tissue atlas provides insights into brain development and accompanying changes in microstructure, and forms the basis for future longitudinal investigations into healthy and pathological white matter maturation.
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Affiliation(s)
- Maximilian Pietsch
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK.
| | - Daan Christiaens
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Anthony N Price
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Emer Hughes
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK; Department of Biomedical Engineering, School of Bioengineering and Imaging Sciences, Kings College London, Kings Health Partners, St. Thomas Hospital, London, SE1 7EH, UK
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Rasmussen JM, Graham AM, Entringer S, Gilmore JH, Styner M, Fair DA, Wadhwa PD, Buss C. Maternal Interleukin-6 concentration during pregnancy is associated with variation in frontolimbic white matter and cognitive development in early life. Neuroimage 2019; 185:825-835. [PMID: 29654875 PMCID: PMC6181792 DOI: 10.1016/j.neuroimage.2018.04.020] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 03/08/2018] [Accepted: 04/09/2018] [Indexed: 01/21/2023] Open
Abstract
Maternal inflammation during pregnancy can alter the trajectory of fetal brain development and increase risk for offspring psychiatric disorders. However, the majority of relevant research to date has been conducted in animal models. Here, in humans, we focus on the structural connectivity of frontolimbic circuitry as it is both critical for socioemotional and cognitive development, and commonly altered in a range of psychiatric disorders associated with intrauterine inflammation. Specifically, we test the hypothesis that elevated maternal concentration of the proinflammatory cytokine interleukin-6 (IL-6) during pregnancy will be associated with variation in microstructural properties of this circuitry in the neonatal period and across the first year of life. Pregnant mothers were recruited in early pregnancy and maternal blood samples were obtained for assessment of maternal IL-6 concentrations in early (12.6 ± 2.8 weeks [S.D.]), mid (20.4 ± 1.5 weeks [S.D.]) and late (30.3 ± 1.3 weeks [S.D.]) gestation. Offspring brain MRI scans were acquired shortly after birth (N = 86, scan age = 3.7 ± 1.7 weeks [S.D.]) and again at 12-mo age (N = 32, scan age = 54.0 ± 3.1 weeks [S.D.]). Diffusion Tensor Imaging (DTI) was used to characterize fractional anisotropy (FA) along the left and right uncinate fasciculus (UF), representing the main frontolimbic fiber tract. In N = 30 of the infants with serial MRI data at birth and 12-mo age, cognitive and socioemotional developmental status was characterized using the Bayley Scales of Infant Development. All analyses tested for potentially confounding influences of household income, prepregnancy Body-Mass-Index, obstetric risk, smoking during pregnancy, and infant sex, and outcomes at 12-mo age were additionally adjusted for the quality of the postnatal caregiving environment. Maternal IL-6 concentration (averaged across pregnancy) was prospectively and inversely associated with FA (suggestive of reduced integrity under high inflammatory conditions) in the newborn offspring (bi-lateral, p < 0.01) in the central portion of the UF proximal to the amygdala. Furthermore, maternal IL-6 concentration was positively associated with rate of FA increase across the first year of life (bi-lateral, p < 0.05), resulting in a null association between maternal IL-6 and UF FA at 12-mo age. Maternal IL-6 was also inversely associated with offspring cognition at 12-mo age, and this association was mediated by FA growth across the first year of postnatal life. Findings from the current study support the premise that susceptibility for cognitive impairment and potentially psychiatric disorders may be affected in utero, and that maternal inflammation may constitute an intrauterine condition of particular importance in this context.
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Affiliation(s)
- Jerod M Rasmussen
- Development, Health and Disease Research Program, University of California, 92697, Irvine, CA, USA; Department of Pediatrics, University of California, 92697, Irvine, CA, USA.
| | - Alice M Graham
- Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, United States
| | - Sonja Entringer
- Development, Health and Disease Research Program, University of California, 92697, Irvine, CA, USA; Department of Pediatrics, University of California, 92697, Irvine, CA, USA; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, 27599, North Carolina, USA
| | - Martin Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, 27599, North Carolina, USA
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, United States
| | - Pathik D Wadhwa
- Development, Health and Disease Research Program, University of California, 92697, Irvine, CA, USA; Department of Pediatrics, University of California, 92697, Irvine, CA, USA; Departments of Psychiatry and Human Behavior, Obstetrics & Gynecology, Epidemiology, University of California, 92697, Irvine, CA, USA
| | - Claudia Buss
- Development, Health and Disease Research Program, University of California, 92697, Irvine, CA, USA; Department of Pediatrics, University of California, 92697, Irvine, CA, USA; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany.
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Deoni SC, Adams SH, Li X, Badger TM, Pivik RT, Glasier CM, Ramakrishnaiah RH, Rowell AC, Ou X. Cesarean Delivery Impacts Infant Brain Development. AJNR Am J Neuroradiol 2019; 40:169-177. [PMID: 30467219 DOI: 10.3174/ajnr.a5887] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 10/06/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND PURPOSE The cesarean delivery rate has increased globally in the past few decades. Neurodevelopmental outcomes associated with cesarean delivery are still unclear. This study investigated whether cesarean delivery has any effect on the brain development of offspring. MATERIALS AND METHODS A total of 306 healthy children were studied retrospectively. We included 3 cohorts: 2-week-old neonates (cohort 1, n = 32/11 for vaginal delivery/cesarean delivery) and 8-year-old children (cohort 2, n = 37/23 for vaginal delivery/cesarean delivery) studied at Arkansas Children's Hospital, and a longitudinal cohort of 3-month to 5-year-old children (cohort 3, n = 164/39 for vaginal delivery/cesarean delivery) studied independently at Brown University. Diffusion tensor imaging, myelin water fraction imaging, voxel-based morphometry, and/or resting-state fMRI data were analyzed to evaluate white matter integrity, myelination, gray matter volume, and/or functional connectivity, respectively. RESULTS While not all MR imaging techniques were shared across the institutions/cohorts, post hoc analyses showed similar results of potential effects of cesarean delivery. The cesarean delivery group in cohort 1 showed significantly lower white matter development in widespread brain regions and significantly lower functional connectivity in the brain default mode network, controlled for a number of potential confounders. No group differences were found in cohort 2 in white matter integrity or gray matter volume. Cohort 3 had significantly different trajectories of white matter myelination between groups, with those born by cesarean delivery having reduced myelin in infancy but normalizing with age. CONCLUSIONS Cesarean delivery may influence infant brain development. The impact may be transient because similar effects were not observed in older children. Further prospective and longitudinal studies may be needed to confirm these novel findings.
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Affiliation(s)
- S C Deoni
- School of Engineering (S.C.D.), Brown University, Providence, Rhode Island
| | - S H Adams
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - X Li
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
| | - T M Badger
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - R T Pivik
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - C M Glasier
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - R H Ramakrishnaiah
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - A C Rowell
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
| | - X Ou
- From the Arkansas Children's Nutrition Center (S.H.A., T.M.B., R.T.P., X.O.), Little Rock, Arkansas
- Departments of Radiology (X.L., C.M.G., R.H.R., A.C.R., X.O.)
- Pediatrics (S.H.A., T.M.B., R.T.P., C.M.G., X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Research Institute (C.M.G., R.H.R., A.C.R., X.O.), Little Rock, Arkansas
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Abstract
Throughout infancy, childhood, and adolescence, our brains undergo remarkable changes. Processes including myelination and synaptogenesis occur rapidly across the first 2-3 years of life, and ongoing brain remodeling continues into young adulthood. Studies have sought to characterize the patterns of structural brain development, and early studies predominately relied upon gross anatomical measures of brain structure, morphology, and organization. MRI offers the ability to characterize and quantify a range of microstructural aspects of brain tissue that may be more closely related to fundamental neurodevelopmental processes. Techniques such as diffusion, magnetization transfer, relaxometry, and myelin water imaging provide insight into changing cyto- and myeloarchitecture, neuronal density, and structural connectivity. In this review, we focus on the growing body of literature exploiting these MRI techniques to better understand the microstructural changes that occur in brain white matter during maturation. Our review focuses on studies of normative brain development from birth to early adulthood (∼25 years), and places particular emphasis on longitudinal studies and newer techniques that are being used to study microstructural white matter development. All imaging methods demonstrate consistent, rapid microstructural white matter development over the first 3 years of life, suggesting increased myelination and axonal packing. Diffusion studies clearly demonstrate continued white matter maturation during later childhood and adolescence, though the lack of consistent findings in other modalities suggests changes may be mainly due to axonal packing. An emerging literature details differential microstructural development in boys and girls, and connects developmental trajectories to cognitive abilities, behaviour, and/or environmental factors, though the nature of these relationships remains unclear. Future research will need to focus on newer imaging techniques and longitudinal studies to provide more detailed information about microstructural white matter development, particularly in the childhood years.
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Affiliation(s)
- Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute and the Hotchkiss Brain Institute, Calgary, AB, Canada.
| | - Sean Deoni
- School of Engineering, Providence, RI, United States; Advanced Baby Imaging Lab at Memorial Hospital of Rhode Island, Pawtucket, RI, United States
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Matthews LG, Inder TE, Pascoe L, Kapur K, Lee KJ, Monson BB, Doyle LW, Thompson DK, Anderson PJ. Longitudinal Preterm Cerebellar Volume: Perinatal and Neurodevelopmental Outcome Associations. Cerebellum 2018; 17:610-627. [PMID: 29949094 PMCID: PMC6126980 DOI: 10.1007/s12311-018-0946-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Impaired cerebellar development is an important determinant of adverse motor and cognitive outcomes in very preterm (VPT) infants. However, longitudinal MRI studies investigating cerebellar maturation from birth through childhood and associated neurodevelopmental outcomes are lacking. We aimed to compare cerebellar volume and growth from term-equivalent age (TEA) to 7 years between VPT (< 30 weeks' gestation or < 1250 g) and full-term children; and to assess the association between these measures, perinatal factors, and 7-year outcomes in VPT children, and whether these relationships varied by sex. In a prospective cohort study of 224 VPT and 46 full-term infants, cerebellar volumes were measured on MRI at TEA and 7 years. Useable data at either time-point were collected for 207 VPT and 43 full-term children. Cerebellar growth from TEA to 7 years was compared between VPT and full-term children. Associations with perinatal factors and 7-year outcomes were investigated in VPT children. VPT children had smaller TEA and 7-year volumes and reduced growth. Perinatal factors were associated with smaller cerebellar volume and growth between TEA and 7 years, namely, postnatal corticosteroids for TEA volume, and female sex, earlier birth gestation, white and deep nuclear gray matter injury for 7-year volume and growth. Smaller TEA and 7-year volumes, and reduced growth were associated with poorer 7-year IQ, language, and motor function, with differential relationships observed for male and female children. Our findings indicate that cerebellar growth from TEA to 7 years is impaired in VPT children and relates to early perinatal factors and 7-year outcomes.
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Affiliation(s)
- Lillian G Matthews
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA.
- Murdoch Children's Research Institute, Melbourne, Australia.
- Department of Paediatrics, University of Melbourne, Melbourne, Australia.
| | - T E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
| | - L Pascoe
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - K Kapur
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - K J Lee
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - B B Monson
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA
- Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - L W Doyle
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Royal Women's Hospital, Melbourne, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Australia
| | - D K Thompson
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - P J Anderson
- Murdoch Children's Research Institute, Melbourne, Australia
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Australia
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Lu J, Synowiec S, Lu L, Yu Y, Bretherick T, Takada S, Yarnykh V, Caplan J, Caplan M, Claud EC, Drobyshevsky A. Microbiota influence the development of the brain and behaviors in C57BL/6J mice. PLoS One 2018; 13:e0201829. [PMID: 30075011 PMCID: PMC6075787 DOI: 10.1371/journal.pone.0201829] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/23/2018] [Indexed: 12/22/2022] Open
Abstract
We investigated the contributions of commensal bacteria to brain structural maturation by magnetic resonance imaging and behavioral tests in four and 12 weeks old C57BL/6J specific pathogen free (SPF) and germ free (GF) mice. SPF mice had increased volumes and fractional anisotropy in major gray and white matter areas and higher levels of myelination in total brain, major white and grey matter structures at either four or 12 weeks of age, demonstrating better brain maturation and organization. In open field test, SPF mice had better mobility and were less anxious than GF at four weeks. In Morris water maze, SPF mice demonstrated better spatial and learning memory than GF mice at 12 weeks. In fear conditioning, SPF mice had better contextual memory than GF mice at 12 weeks. In three chamber social test, SPF mice demonstrated better social novelty than GF mice at 12 weeks. Our data demonstrate numerous significant differences in morphological brain organization and behaviors between SPF and GF mice. This suggests that commensal bacteria are necessary for normal morphological development and maturation in the grey and white matter of the brain regions with implications for behavioral outcomes such as locomotion and cognitive functions.
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Affiliation(s)
- Jing Lu
- Department of Pediatrics, Neonatology, Pritzker School of Medicine, the University of Chicago, Chicago, Illinois, United States of America
| | - Sylvia Synowiec
- Department of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, Illinois, United States of America
| | - Lei Lu
- Department of Pediatrics, Neonatology, Pritzker School of Medicine, the University of Chicago, Chicago, Illinois, United States of America
| | - Yueyue Yu
- Department of Pediatrics, Neonatology, Pritzker School of Medicine, the University of Chicago, Chicago, Illinois, United States of America
| | - Talitha Bretherick
- Laboratório de Neurogenética, Federal University of São Paulo, São Paulo, Brazil
| | - Silvia Takada
- Laboratório de Neurogenética, Federal University of São Paulo, São Paulo, Brazil
| | - Vasily Yarnykh
- Department of Radiology, University of Washington, Seattle, Washington, United States of America
- Research Institute of Biology and Biophysics, Tomsk State University, Tomsk, Russian Federation
| | - Jack Caplan
- Department of Chemical Engineering, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, United States of America
| | - Michael Caplan
- Department of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, Illinois, United States of America
| | - Erika C. Claud
- Department of Pediatrics, Neonatology, Pritzker School of Medicine, the University of Chicago, Chicago, Illinois, United States of America
- * E-mail: (AD); (ECC)
| | - Alexander Drobyshevsky
- Department of Pediatrics, NorthShore University HealthSystem Research Institute, Evanston, Illinois, United States of America
- * E-mail: (AD); (ECC)
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Karahanoğlu FI, Baran B, Nguyen QTH, Meskaldji DE, Yendiki A, Vangel M, Santangelo SL, Manoach DS. Diffusion-weighted imaging evidence of altered white matter development from late childhood to early adulthood in Autism Spectrum Disorder. Neuroimage Clin 2018; 19:840-847. [PMID: 29946509 PMCID: PMC6008282 DOI: 10.1016/j.nicl.2018.06.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 05/18/2018] [Accepted: 06/03/2018] [Indexed: 12/01/2022]
Abstract
Autism Spectrum Disorder (ASD) is thought to reflect disrupted development of brain connectivity characterized by white matter abnormalities and dyscoordination of activity across brain regions that give rise to core features. But there is little consensus about the nature, timing and location of white matter abnormalities as quantified with diffusion-weighted MRI. Inconsistent findings likely reflect small sample sizes, motion confounds and sample heterogeneity, particularly different age ranges across studies. We examined the microstructural integrity of major white matter tracts in relation to age in 38 high functioning ASD and 35 typically developing (TD) participants, aged 8-25, whose diffusion-weighted scans met strict data-quality criteria and survived group matching for motion. While there were no overall group differences in diffusion measures, the groups showed different relations with age. Only the TD group showed the expected positive correlations of fractional anisotropy with age. In parallel, axial diffusivity was unrelated to age in TD, but showed inverse correlations with age in ASD. Younger participants with ASD tended to have higher fractional anisotropy and axial diffusivity than their TD peers, while the opposite was true for older participants. Most of the affected tracts - cingulum bundle, inferior and superior longitudinal fasciculi - are association bundles related to cognitive, social and emotional functions that are abnormal in ASD. The manifestations of abnormal white matter development in ASD as measured by diffusion-weighted MRI depend on age and this may contribute to inconsistent findings across studies. We conclude that ASD is characterized by altered white matter development from childhood to early adulthood that may underlie abnormal brain function and contribute to core features.
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Affiliation(s)
- Fikret Işık Karahanoğlu
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.
| | - Bengi Baran
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States
| | - Quynh Trang Huong Nguyen
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States
| | - Djalel-Eddine Meskaldji
- Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mark Vangel
- Department of Biostatistics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Susan L Santangelo
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Maine Medical Center Research Institute, Scarborough, ME, United States; Tufts University School of Medicine, Department of Psychiatry, Boston, MA, United States
| | - Dara S Manoach
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States
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Yang SS, Xu FL, Cheng HQ, Xu HR, Yang L, Xing JY, Cheng L. [Effect of early application of recombinant human erythropoietin on white matter development in preterm infants]. Zhongguo Dang Dai Er Ke Za Zhi 2018; 20:346-351. [PMID: 29764568 PMCID: PMC7389064 DOI: 10.7499/j.issn.1008-8830.2018.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/14/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To evaluate the effect of early application of recombinant human erythropoietin (rhEPO) on white matter development in preterm infants using fractional anisotropy (FA) of magnetic resonance diffusion tensor imaging (DTI). METHODS A total of 81 preterm infants with gestational age ≤32 weeks, birth weight <1 500 g, and hospitalization within 24 hours after birth were randomly divided into rhEPO group (42 infants) and control group (39 infants). The infants in the rhEPO group were administered rhEPO, while those in the control group were given the same volume of normal saline. The preterm infants of both groups took examinations of head magnetic resonance imaging, diffusion-weighted imaging, and DTI at the corrected gestational age of 35-37 weeks. FA was calculated for the regions of interest in both groups. RESULTS There was no significant difference in the incidence of intracranial hemorrhage, periventricular leukomalacia, focal cerebral white matter damage (CWMD), and extensive CWMD between rhEPO and control groups (P>0.05). Compared with the control group, the rhEPO group showed higher FA values at the posterior limb of the internal capsule, the splenium of the corpus callosum, frontal white matter, and occipital white matter (P<0.05). There was no significant difference in FA values at the parietal white matter, thalamus, lenticular nucleus, and caudate nucleus between the two groups (P>0.05). CONCLUSIONS Early application of rhEPO has a neuroprotective effect on white matter development in preterm infants.
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Affiliation(s)
- Shu-Shuo Yang
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
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Yang SS, Xu FL, Cheng HQ, Xu HR, Yang L, Xing JY, Cheng L. [Effect of early application of recombinant human erythropoietin on white matter development in preterm infants]. Zhongguo Dang Dai Er Ke Za Zhi 2018; 20:346-351. [PMID: 29764568 PMCID: PMC7389064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/14/2018] [Indexed: 11/12/2023]
Abstract
OBJECTIVE To evaluate the effect of early application of recombinant human erythropoietin (rhEPO) on white matter development in preterm infants using fractional anisotropy (FA) of magnetic resonance diffusion tensor imaging (DTI). METHODS A total of 81 preterm infants with gestational age ≤32 weeks, birth weight <1 500 g, and hospitalization within 24 hours after birth were randomly divided into rhEPO group (42 infants) and control group (39 infants). The infants in the rhEPO group were administered rhEPO, while those in the control group were given the same volume of normal saline. The preterm infants of both groups took examinations of head magnetic resonance imaging, diffusion-weighted imaging, and DTI at the corrected gestational age of 35-37 weeks. FA was calculated for the regions of interest in both groups. RESULTS There was no significant difference in the incidence of intracranial hemorrhage, periventricular leukomalacia, focal cerebral white matter damage (CWMD), and extensive CWMD between rhEPO and control groups (P>0.05). Compared with the control group, the rhEPO group showed higher FA values at the posterior limb of the internal capsule, the splenium of the corpus callosum, frontal white matter, and occipital white matter (P<0.05). There was no significant difference in FA values at the parietal white matter, thalamus, lenticular nucleus, and caudate nucleus between the two groups (P>0.05). CONCLUSIONS Early application of rhEPO has a neuroprotective effect on white matter development in preterm infants.
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Affiliation(s)
- Shu-Shuo Yang
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
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Matthews LG, Walsh BH, Knutsen C, Neil JJ, Smyser CD, Rogers CE, Inder TE. Brain growth in the NICU: critical periods of tissue-specific expansion. Pediatr Res 2018; 83:976-981. [PMID: 29320484 PMCID: PMC6054136 DOI: 10.1038/pr.2018.4] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 12/31/2017] [Indexed: 11/09/2022]
Abstract
ObjectiveTo examine, using serial magnetic resonance imaging (MRI), total and tissue-specific brain growth in very-preterm (VPT) infants during the period that coincides with the early and late stages of the third trimester.MethodsStructural MRI scans were collected from two prospective cohorts of VPT infants (≤30 weeks of gestation). A total of 51 MRI scans from 18 VPT subjects were available for volumetric analysis. Brain tissue was classified into cerebrospinal fluid, cortical gray matter, myelinated and unmyelinated white matter, deep nuclear gray matter, and cerebellum. Nine infants had sufficient serial scans to allow comparison of tissue growth during the periods corresponding to the early and late stages of the third trimester.ResultsTissue-specific differences in ex utero brain growth trajectories were observed in the period corresponding to the third trimester. Most notably, there was a marked increase in cortical gray matter expansion from 34 to 40 weeks of postmenstrual age, emphasizing this critical period of brain development.ConclusionUtilizing serial MRI to document early brain development in VPT infants, this study documents regional differences in brain growth trajectories ex utero during the period corresponding to the first and second half of the third trimester, providing novel insight into the maturational vulnerability of the rapidly expanding cortical gray matter in the NICU.
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Affiliation(s)
- Lillian G. Matthews
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Brian H. Walsh
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Clare Knutsen
- Department of Pediatrics, Washington University, Saint Louis, Missouri
| | - Jeffrey J. Neil
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Christopher D. Smyser
- Department of Pediatrics, Washington University, Saint Louis, Missouri
- Department of Neurology, Washington University, Saint Louis, Missouri
- Mallinckrodt Institute of Radiology, Washington University, Saint Louis, Missouri
| | - Cynthia E. Rogers
- Department of Pediatrics, Washington University, Saint Louis, Missouri
- Department of Psychiatry, Washington University, Saint Louis, Missouri
| | - Terrie E. Inder
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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Cabeen RP, Laidlaw DH, Ruggieri A, Dickstein DP. Preliminary mapping of the structural effects of age in pediatric bipolar disorder with multimodal MR imaging. Psychiatry Res 2018; 273:54-62. [PMID: 29361347 PMCID: PMC5815932 DOI: 10.1016/j.pscychresns.2017.12.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 12/31/2017] [Accepted: 12/31/2017] [Indexed: 10/18/2022]
Abstract
This study investigates multimodal structural MR imaging biomarkers of development trajectories in pediatric bipolar disorder. T1-weighted and diffusion-weighted MR imaging was conducted to investigate cross-sectional group differences with age between typically developing controls (N = 26) and youths diagnosed with bipolar disorder (N = 26). Region-based analysis was used to examine cortical thickness of gray matter and diffusion tensor parameters in superficial white matter, and tractography-based analysis was used to examine deep white matter fiber bundles. Patients and controls showed significantly different maturation trajectories across brain areas; however, the magnitude of differences varied by region. The rate of cortical thinning with age was greater in patients than controls in the left frontal pole. While controls showed increasing fractional anisotropy (FA) and axial diffusivity (AD) with age, patients showed an opposite trend of decreasing FA and AD with age in fronto-temporal-striatal regions located in both superficial and deep white matter. The findings support fronto-temporal-striatal alterations in the developmental trajectories of youths diagnosed with bipolar disorder, and further, show the value of multimodal computational techniques in the assessment of neuropsychiatric disorders. These preliminary results warrant further investigation into longitudinal changes and the effects of treatment in the brain areas identified in this study.
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Affiliation(s)
- Ryan P Cabeen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
| | - David H Laidlaw
- Department of Computer Science, Brown University, Providence, RI, USA
| | - Amanda Ruggieri
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | - Daniel P Dickstein
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
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Chen LW, Wang ST, Huang CC, Tu YF, Tsai YS. T2 Relaxometry MRI Predicts Cerebral Palsy in Preterm Infants. AJNR Am J Neuroradiol 2018; 39:563-568. [PMID: 29348132 DOI: 10.3174/ajnr.a5501] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 10/30/2017] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE T2-relaxometry brain MR imaging enables objective measurement of brain maturation based on the water-macromolecule ratio in white matter, but the outcome correlation is not established in preterm infants. Our study aimed to predict neurodevelopment with T2-relaxation values of brain MR imaging among preterm infants. MATERIALS AND METHODS From January 1, 2012, to May 31, 2015, preterm infants who underwent both T2-relaxometry brain MR imaging and neurodevelopmental follow-up were retrospectively reviewed. T2-relaxation values were measured over the periventricular white matter, including sections through the frontal horns, midbody of the lateral ventricles, and centrum semiovale. Periventricular T2 relaxometry in relation to corrected age was analyzed with restricted cubic spline regression. Prediction of cerebral palsy was examined with the receiver operating characteristic curve. RESULTS Thirty-eight preterm infants were enrolled for analysis. Twenty patients (52.6%) had neurodevelopmental abnormalities, including 8 (21%) with developmental delay without cerebral palsy and 12 (31.6%) with cerebral palsy. The periventricular T2-relaxation values in relation to age were curvilinear in preterm infants with normal development, linear in those with developmental delay without cerebral palsy, and flat in those with cerebral palsy. When MR imaging was performed at >1 month corrected age, cerebral palsy could be predicted with T2 relaxometry of the periventricular white matter on sections through the midbody of the lateral ventricles (area under the receiver operating characteristic curve = 0.738; cutoff value of >217.4 with 63.6% sensitivity and 100.0% specificity). CONCLUSIONS T2-relaxometry brain MR imaging could provide prognostic prediction of neurodevelopmental outcomes in premature infants. Age-dependent and area-selective interpretation in preterm brains should be emphasized.
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Affiliation(s)
- L-W Chen
- From the Departments of Pediatrics (L.-W.C., C.-C.H., Y.-F.T.)
- Institutes of Clinical Medicine (L.-W.C.)
| | - S-T Wang
- Gerontology (S.-T.W.), College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - C-C Huang
- From the Departments of Pediatrics (L.-W.C., C.-C.H., Y.-F.T.)
- Department of Pediatrics (C.-C.H.), Taipei Medical University, College of Medicine, Taipei, Taiwan
| | - Y-F Tu
- From the Departments of Pediatrics (L.-W.C., C.-C.H., Y.-F.T.)
| | - Y-S Tsai
- Diagnostic Radiology (Y.-S.T.), National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Abstract
In humans, the period from term birth to ∼2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk of disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk of neuropsychiatric disorders. This Review discusses the development of grey and white matter and structural and functional networks, as well as genetic and environmental influences on early-childhood brain development. We also discuss initial evidence regarding the usefulness of early imaging biomarkers for predicting cognitive outcomes and risk of neuropsychiatric disorders.
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Affiliation(s)
- John H Gilmore
- Department of Psychiatry, CB# 7160, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca C Knickmeyer
- Department of Psychiatry, CB# 7160, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Wei Gao
- Biomedical Imaging Research Institute, Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, University of California, Los Angeles, CA, USA
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Ryan MC, Sherman P, Rowland LM, Wijtenburg SA, Acheson A, Fieremans E, Veraart J, Novikov DS, Hong LE, Sladky J, Peralta PD, Kochunov P, McGuire SA. Miniature pig model of human adolescent brain white matter development. J Neurosci Methods 2018; 296:99-108. [PMID: 29277719 PMCID: PMC5817010 DOI: 10.1016/j.jneumeth.2017.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 12/21/2017] [Accepted: 12/21/2017] [Indexed: 12/14/2022]
Abstract
BACKGROUND Neuroscience research in brain development and disorders can benefit from an in vivo animal model that portrays normal white matter (WM) development trajectories and has a sufficiently large cerebrum for imaging with human MRI scanners and protocols. NEW METHOD Twelve three-month-old Sinclair™ miniature pigs (Sus scrofa domestica) were longitudinally evaluated during adolescent development using advanced diffusion weighted imaging (DWI) focused on cerebral WM. Animals had three MRI scans every 23.95 ± 3.73 days using a 3-T scanner. The DWI imaging protocol closely modeled advanced human structural protocols and consisted of fifteen b-shells (b = 0-3500 s/mm2) with 32-directions/shell. DWI data were analyzed using diffusion kurtosis and bi-exponential modeling that provided measurements that included fractional anisotropy (FA), radial kurtosis, kurtosis anisotropy (KA), axial kurtosis, tortuosity, and permeability-diffusivity index (PDI). RESULTS Significant longitudinal effects of brain development were observed for whole-brain average FA, KA, and PDI (all p < 0.001). There were expected regional differences in trends, with corpus callosum fibers showing the highest rate of change. COMPARISON WITH EXISTING METHOD(S) Pigs have a large, gyrencephalic brain that can be studied using clinical MRI scanners/protocols. Pigs are less complex than non-human primates thus satisfying the "replacement" principle of animal research. CONCLUSIONS Longitudinal effects were observed for whole-brain and regional diffusion measurements. The changes in diffusion measurements were interepreted as evidence for ongoing myelination and maturation of cerebral WM. Corpus callosum and superficial cortical WM showed the expected higher rates of change, mirroring results in humans.
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Affiliation(s)
- Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, 55 Wade Avenue, Catonsville, MD 21228, United States
| | - Paul Sherman
- U.S. Air Force School of Aerospace Medicine, Aeromedical Research Department, 2510 5th Street, Building 840, Wright-Patterson AFB, OH 45433-7913, United States
| | - Laura M Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, 55 Wade Avenue, Catonsville, MD 21228, United States
| | - S Andrea Wijtenburg
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, 55 Wade Avenue, Catonsville, MD 21228, United States
| | - Ashley Acheson
- Department of Psychiatry, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205, United States
| | - Els Fieremans
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, NY 10016, United States
| | - Jelle Veraart
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, NY 10016, United States
| | - Dmitry S Novikov
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 1st Avenue, New York, NY 10016, United States
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, 55 Wade Avenue, Catonsville, MD 21228, United States
| | - John Sladky
- U.S. Air Force School of Aerospace Medicine, Aeromedical Research Department, 2510 5th Street, Building 840, Wright-Patterson AFB, OH 45433-7913, United States; Department of Neurology, 59th Medical Wing, 2200 Bergquist Drive, Suite 1, Joint Base San Antonio-Lackland AFB, TX 78236, United States
| | - P Dana Peralta
- Department of Neurology, 59th Medical Wing, 2200 Bergquist Drive, Suite 1, Joint Base San Antonio-Lackland AFB, TX 78236, United States
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, 55 Wade Avenue, Catonsville, MD 21228, United States.
| | - Stephen A McGuire
- U.S. Air Force School of Aerospace Medicine, Aeromedical Research Department, 2510 5th Street, Building 840, Wright-Patterson AFB, OH 45433-7913, United States; Department of Neurology, 59th Medical Wing, 2200 Bergquist Drive, Suite 1, Joint Base San Antonio-Lackland AFB, TX 78236, United States
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Monson BB, Eaton-Rosen Z, Kapur K, Liebenthal E, Brownell A, Smyser CD, Rogers CE, Inder TE, Warfield SK, Neil JJ. Differential Rates of Perinatal Maturation of Human Primary and Nonprimary Auditory Cortex. eNeuro 2018; 5:ENEURO.0380-17.2017. [PMID: 29354680 PMCID: PMC5773280 DOI: 10.1523/eneuro.0380-17.2017] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 12/11/2017] [Indexed: 12/22/2022] Open
Abstract
Primary and nonprimary cerebral cortex mature along different timescales; however, the differences between the rates of maturation of primary and nonprimary cortex are unclear. Cortical maturation can be measured through changes in tissue microstructure detectable by diffusion magnetic resonance imaging (MRI). In this study, diffusion tensor imaging (DTI) was used to characterize the maturation of Heschl's gyrus (HG), which contains both primary auditory cortex (pAC) and nonprimary auditory cortex (nAC), in 90 preterm infants between 26 and 42 weeks postmenstrual age (PMA). The preterm infants were in different acoustical environments during their hospitalization: 46 in open ward beds and 44 in single rooms. A control group consisted of 15 term-born infants. Diffusion parameters revealed that (1) changes in cortical microstructure that accompany cortical maturation had largely already occurred in pAC by 28 weeks PMA, and (2) rapid changes were taking place in nAC between 26 and 42 weeks PMA. At term equivalent PMA, diffusion parameters for auditory cortex were different between preterm infants and term control infants, reflecting either delayed maturation or injury. No effect of room type was observed. For the preterm group, disturbed maturation of nonprimary (but not primary) auditory cortex was associated with poorer language performance at age two years.
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Affiliation(s)
- Brian B. Monson
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Zach Eaton-Rosen
- Translational Imaging Group, University College London, London, WC1E 7JE United Kingdom
| | - Kush Kapur
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Einat Liebenthal
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Abraham Brownell
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Christopher D. Smyser
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63130
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63130
| | - Cynthia E. Rogers
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63130
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63130
| | - Terrie E. Inder
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Simon K. Warfield
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Jeffrey J. Neil
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
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Walton M, Dewey D, Lebel C. Brain white matter structure and language ability in preschool-aged children. Brain Lang 2018; 176:19-25. [PMID: 29132048 DOI: 10.1016/j.bandl.2017.10.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Revised: 10/24/2017] [Accepted: 10/29/2017] [Indexed: 06/07/2023]
Abstract
Brain alterations are associated with reading and language difficulties in older children, but little research has investigated relationships between early language skills and brain white matter structure during the preschool period. We studied 68 children aged 3.0-5.6 years who underwent diffusion tensor imaging and participated in assessments of Phonological Processing and Speeded Naming. Tract-based spatial statistics and tractography revealed relationships between Phonological Processing and diffusion parameters in bilateral ventral white matter pathways and the corpus callosum. Phonological Processing was positively correlated with fractional anisotropy and negatively correlated with mean diffusivity. The relationships observed in left ventral pathways are consistent with studies in older children, and demonstrate that structural markers for language performance are apparent as young as 3 years of age. Our findings in right hemisphere areas that are not as commonly found in adult studies suggest that young children rely on a widespread network for language processing that becomes more specialized with age.
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Affiliation(s)
- Matthew Walton
- Child & Adolescent Imaging Research (CAIR) Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Department of Radiology, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Department of Pediatrics, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
| | - Catherine Lebel
- Child & Adolescent Imaging Research (CAIR) Program, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Department of Radiology, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.
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