151
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Acceleration of information processing en route to perceptual awareness in infancy. Curr Biol 2022; 32:1206-1210.e3. [DOI: 10.1016/j.cub.2022.01.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/25/2021] [Accepted: 01/11/2022] [Indexed: 11/17/2022]
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152
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Haneder C, Stark B, Peherstorfer A, Gröppel G. Focal Signs in Infantile Spasms. Seizure 2022; 96:95-97. [DOI: 10.1016/j.seizure.2022.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 02/03/2022] [Accepted: 02/11/2022] [Indexed: 11/29/2022] Open
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153
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Li X, Li M, Wang M, Wu F, Liu H, Sun Q, Zhang Y, Liu C, Jin C, Yang J. Mapping white matter maturational processes and degrees on neonates by diffusion kurtosis imaging with multiparametric analysis. Hum Brain Mapp 2022; 43:799-815. [PMID: 34708903 PMCID: PMC8720196 DOI: 10.1002/hbm.25689] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/03/2021] [Accepted: 10/07/2021] [Indexed: 11/10/2022] Open
Abstract
White matter maturation has been characterized by diffusion tensor (DT) metrics. However, maturational processes and degrees are not fully investigated due to limitations of univariate approaches and limited specificity/sensitivity. Diffusion kurtosis imaging (DKI) provides kurtosis tensor (KT) and white matter tract integrity (WMTI) metrics, besides DT metrics. Therefore, we tried to investigate performances of DKI with the multiparametric analysis in characterizing white matter maturation. Developmental changes in metrics were investigated by using tract-based spatial statistics and the region of interest analysis on 50 neonates with postmenstrual age (PMA) from 37.43 to 43.57 weeks. Changes in metrics were combined into various patterns to reveal different maturational processes. Mahalanobis distance based on DT metrics (DM,DT ) and that combing DT and KT metrics (DM,DT-KT ) were computed, separately. Performances of DM,DT-KT and DM,DT were compared in revealing correlations with PMA and the neurobehavioral score. Compared with DT metrics, WMTI metrics demonstrated additional changing patterns. Furthermore, variations of DM,DT-KT across regions were in agreement with the maturational sequence. Additionally, DM,DT-KT demonstrated stronger negative correlations with PMA and the neurobehavioral score in more regions than DM,DT . Results suggest that DKI with the multiparametric analysis benefits the understanding of white matter maturational processes and degrees on neonates.
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Affiliation(s)
- Xianjun Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Mengxuan Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Miaomiao Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Fan Wu
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Heng Liu
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Biomedical Engineering, The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Qinli Sun
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Biomedical Engineering, The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Yuli Zhang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Congcong Liu
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chao Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Biomedical Engineering, The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
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154
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Dall'Orso S, Arichi T, Fitzgibbon SP, Edwards AD, Burdet E, Muceli S. Development of functional organization within the sensorimotor network across the perinatal period. Hum Brain Mapp 2022; 43:2249-2261. [PMID: 35088920 PMCID: PMC8996360 DOI: 10.1002/hbm.25785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/30/2021] [Accepted: 01/10/2022] [Indexed: 11/18/2022] Open
Abstract
In the mature human brain, the neural processing related to different body parts is reflected in patterns of functional connectivity, which is strongest between functional homologs in opposite cortical hemispheres. To understand how this organization is first established, we investigated functional connectivity between limb regions in the sensorimotor cortex in 400 preterm and term infants aged across the equivalent period to the third trimester of gestation (32–45 weeks postmenstrual age). Masks were obtained from empirically derived functional responses in neonates from an independent data set. We demonstrate the early presence of a crude but spatially organized functional connectivity, that rapidly matures across the preterm period to achieve an adult‐like configuration by the normal time of birth. Specifically, connectivity was strongest between homolog regions, followed by connectivity between adjacent regions (different limbs but same hemisphere) already in the preterm brain, and increased with age. These changes were specific to the sensorimotor network. Crucially, these trajectories were strongly dependent on age more than age of birth. This demonstrates that during the perinatal period the sensorimotor cortex undergoes preprogrammed changes determining the functional movement organization that are not altered by preterm birth in absence of brain injury.
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Affiliation(s)
- Sofia Dall'Orso
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg.,Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London.,Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.,Paediatric Neurosciences, Evelina London Children's Hospital, St. Thomas' Hospital, London, UK.,Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Sean P Fitzgibbon
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London.,Medical Research Council Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Etienne Burdet
- Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK
| | - Silvia Muceli
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg.,Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London
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155
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Expert consensus on the clinical practice of neonatal brain magnetic resonance imaging. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2022; 24:14-25. [PMID: 35177171 PMCID: PMC8802390 DOI: 10.7499/j.issn.1008-8830.2110018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
In recent years, magnetic resonance imaging (MRI) has been widely used in evaluating neonatal brain development, diagnosing neonatal brain injury, and predicting neurodevelopmental prognosis. Based on current research evidence and clinical experience in China and overseas, the Neonatologist Society of Chinese Medical Doctor Association has developed a consensus on the indications and standardized clinical process of neonatal brain MRI. The consensus has the following main points. (1) Brain MRI should be performed for neonates suspected of hypoxic-ischemic encephalopathy, intracranial infection, stroke and unexplained convulsions; brain MRI is not considered a routine in the management of preterm infants, but it should be performed for further evaluation when cranial ultrasound finds evidence of brain injury; as for extremely preterm or extremely low birth weight infants without abnormal ultrasound findings, it is recommended that they should undergo MRI examination at term equivalent age once. (2) Neonates should undergo MRI examination in a non-sedated state if possible. (3) During MRI examination, vital signs should be closely monitored to ensure safety; the necessity of MRI examination should be strictly evaluated for critically ill neonates, and magnetic resonance compatible incubator and ventilator can be used. (4) At present, 1.5 T or 3.0 T equipment can be used for neonatal brain MRI examination, and the special coil for the neonatal head should be used to improve signal-to-noise ratio; routine neonatal brain MRI sequences should at least include axial T1 weighted image (T1WI), axial T2 weighted imaging (T2WI), diffusion-weighted imaging, and sagittal T1WI or T2WI. (5) It is recommended to use a structured and graded reporting system, and reports by at least two reviewers and multi-center collaboration are recommended to increase the reliability of the report.
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156
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Cha JH, Lim JS, Jang YH, Hwang JK, Na JY, Lee JM, Lee HJ, Ahn JH. Altered microstructure of the splenium of corpus callosum is associated with neurodevelopmental impairment in preterm infants with necrotizing enterocolitis. Ital J Pediatr 2022; 48:6. [PMID: 35012576 PMCID: PMC8750779 DOI: 10.1186/s13052-021-01197-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/14/2021] [Indexed: 11/16/2022] Open
Abstract
Background Necrotizing enterocolitis (NEC) is a devastating disease in preterm infants with significant morbidities, including neurodevelopmental impairment (NDI). This study aimed to investigate whether NEC is associated with (1) brain volume expansion and white matter maturation using diffusion tensor imaging analysis and (2) NDI compared with preterm infants without NEC. Methods We included 86 preterm infants (20 with NEC and 66 without NEC) with no evidence of brain abnormalities on trans-fontanelle ultrasonography and magnetic resonance imaging at term-equivalent age (TEA). Regional brain volume analysis and white matter tractography were performed to study brain microstructure alterations. NDI was assessed using the Bayley Scales of Infant and Toddler Development-III (BSID-III) at 18 months of corrected age (CA). Results Preterm infants with NEC showed significantly high risk of motor impairment (odds ratio 58.26, 95% confidence interval 7.80–435.12, p < 0.001). We found significantly increased mean diffusivity (MD) in the splenium of corpus callosum (sCC) (p = 0.001) and the left corticospinal tract (p = 0.001) in preterm infants with NEC. The sCC with increased MD showed a negative association with the BSID-III language (p = 0.025) and motor scores (p = 0.002) at 18 months of CA, implying the relevance of sCC integrity with later NDI. Conclusion The white matter microstructure differed between preterm infants with and without NEC. The prognostic value of network parameters of sCC at TEA may provide better information for the early detection of NDI in preterm infants.
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Affiliation(s)
- Jong Ho Cha
- Department of Pediatrics, Hanyang University College of Medicine, 222-1 Wangsimni-ro Seongdong-gu, Seoul, 04763, South Korea
| | - Jung-Sun Lim
- Department of Family Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Yong Hun Jang
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.,Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, South Korea
| | - Jae Kyoon Hwang
- Department of Pediatrics, Hanyang University College of Medicine, 222-1 Wangsimni-ro Seongdong-gu, Seoul, 04763, South Korea
| | - Jae Yoon Na
- Department of Pediatrics, Hanyang University College of Medicine, 222-1 Wangsimni-ro Seongdong-gu, Seoul, 04763, South Korea.,Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, South Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222-1 Wangsimni-ro Seongdong-gu, Seoul, 04763, South Korea.,Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, South Korea
| | - Ja-Hye Ahn
- Department of Pediatrics, Hanyang University College of Medicine, 222-1 Wangsimni-ro Seongdong-gu, Seoul, 04763, South Korea. .,Clinical Research Institute of Developmental Medicine, Seoul Hanyang University Hospital, Seoul, South Korea.
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157
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Li X, Zhang S, Jiang X, Zhang S, Han J, Guo L, Zhang T. Cortical development coupling between surface area and sulcal depth on macaque brains. Brain Struct Funct 2022; 227:1013-1029. [PMID: 34989870 DOI: 10.1007/s00429-021-02444-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 12/15/2021] [Indexed: 02/06/2023]
Abstract
Postnatal development of cerebral cortex is associated with a variety of neuronal processes and is thus critical to development of brain function and cognition. Longitudinal changes of cortical morphology and topology, such as postnatal cortical thinning and flattening have been widely studied. However, thorough and systematic investigation of such cortical change, including how to quantify it from multiple spatial directions and how to relate it to surface topology, is rarely found. In this work, based on a longitudinal macaque neuroimaging dataset, we quantified local changes in gyral white matter's surface area and sulcal depth during early development. We also investigated how these two metrics are coupled and how this coupling is linked to cortical surface topology, underlying white matter, and positions of functional areas. Semi-parametric generalized additive models were adopted to quantify the longitudinal changes of surface area (A) and sulcal depth (D), and the coupling patterns between them. This resulted in four classes of regions, according to how they change compared with global change throughout early development: slower surface area change and slower sulcal depth change (slowA_slowD), slower surface area change and faster sulcal depth change (slowA_fastD), faster surface area change and slower sulcal depth change (fastA_slowD), and faster surface area change and faster sulcal depth change (fastA_fastD). We found that cortex-related metrics, including folding pattern and cortical thickness, vary along slowA_fastD-fastA_slowD axis, and structural connection-related metrics vary along fastA_fastD-slowA_slowD axis, with which brain functional sites align better. It is also found that cortical landmarks, including sulcal pits and gyral hinges, spatially reside on the borders of the four patterns. These findings shed new lights on the relationship between cortex development, surface topology, axonal wiring pattern and brain functions.
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Affiliation(s)
- Xiao Li
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Songyao Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Xi Jiang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Shu Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an, China.
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158
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Mercer JS, Erickson-Owens DA, Deoni SC, Dean DC, Tucker R, Parker AB, Joelson S, Mercer EN, Collins J, Padbury JF. The Effects of Delayed Cord Clamping on 12-Month Brain Myelin Content and Neurodevelopment: A Randomized Controlled Trial. Am J Perinatol 2022; 39:37-44. [PMID: 32702760 PMCID: PMC9800052 DOI: 10.1055/s-0040-1714258] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE This study aimed to determine if delayed cord clamping (DCC) affected brain myelin water volume fraction (VFm) and neurodevelopment in term infants. STUDY DESIGN This was a single-blinded randomized controlled trial of healthy pregnant women with term singleton fetuses randomized at birth to either immediate cord clamping (ICC) (≤ 20 seconds) or DCC (≥ 5 minutes). Follow-up at 12 months of age consisted of blood work for serum iron indices and lead levels, a nonsedated magnetic resonance imaging (MRI), followed within the week by neurodevelopmental testing. RESULTS At birth, 73 women were randomized into one of two groups: ICC (the usual practice) or DCC (the intervention). At 12 months, among 58 active participants, 41 (80%) had usable MRIs. There were no differences between the two groups on maternal or infant demographic variables. At 12 months, infants who had DCC had increased white matter brain growth in regions localized within the right and left internal capsules, the right parietal, occipital, and prefrontal cortex. Gender exerted no difference on any variables. Developmental testing (Mullen Scales of Early Learning, nonverbal, and verbal composite scores) was not significantly different between the two groups. CONCLUSION At 12 months of age, infants who received DCC had greater myelin content in important brain regions involved in motor function, visual/spatial, and sensory processing. A placental transfusion at birth appeared to increase myelin content in the early developing brain. KEY POINTS · DCC resulted in higher hematocrits in newborn period.. · DCC appears to increase myelin at 12 months.. · Gender did not influence study outcomes..
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Affiliation(s)
- Judith S. Mercer
- College of Nursing, University of Rhode Island, Kingston, Rhode Island,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island,Pediatrics, Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Debra A. Erickson-Owens
- College of Nursing, University of Rhode Island, Kingston, Rhode Island,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Sean C.L. Deoni
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island,Maternal, Neonatal, and Child Health, Discovery and Tools, Bill and Melinda Gates Foundation, Munirka, New Delhi, India
| | - Douglas C. Dean
- Department of Pediatrics, University of Wisconsin, Madison, Wisconsin,Department of Medical Physics, University of Wisconsin, Madison, Wisconsin,Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, Madison, Wisconsin
| | - Richard Tucker
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Ashley B. Parker
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Sarah Joelson
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island
| | - Emily N. Mercer
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island
| | - Jennifer Collins
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - James F. Padbury
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island,Pediatrics, Alpert School of Medicine, Brown University, Providence, Rhode Island
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159
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Korom M, Camacho MC, Filippi CA, Licandro R, Moore LA, Dufford A, Zöllei L, Graham AM, Spann M, Howell B, Shultz S, Scheinost D. Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies. Dev Cogn Neurosci 2021; 53:101055. [PMID: 34974250 PMCID: PMC8733260 DOI: 10.1016/j.dcn.2021.101055] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 11/28/2021] [Accepted: 12/26/2021] [Indexed: 01/07/2023] Open
Abstract
The field of adult neuroimaging relies on well-established principles in research design, imaging sequences, processing pipelines, as well as safety and data collection protocols. The field of infant magnetic resonance imaging, by comparison, is a young field with tremendous scientific potential but continuously evolving standards. The present article aims to initiate a constructive dialog between researchers who grapple with the challenges and inherent limitations of a nascent field and reviewers who evaluate their work. We address 20 questions that researchers commonly receive from research ethics boards, grant, and manuscript reviewers related to infant neuroimaging data collection, safety protocols, study planning, imaging sequences, decisions related to software and hardware, and data processing and sharing, while acknowledging both the accomplishments of the field and areas of much needed future advancements. This article reflects the cumulative knowledge of experts in the FIT’NG community and can act as a resource for both researchers and reviewers alike seeking a deeper understanding of the standards and tradeoffs involved in infant neuroimaging. The field of infant MRI is young with evolving standards. We address 20 questions that researchers commonly receive reviewers. These come from research ethics boards, grant, and manuscript reviewers. This article reflects the cumulative knowledge of experts in the FIT’NG community.
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Affiliation(s)
- Marta Korom
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA.
| | - M Catalina Camacho
- Division of Biology and Biomedical Sciences (Neurosciences), Washington University School of Medicine, St. Louis, MO, USA.
| | - Courtney A Filippi
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Roxane Licandro
- Institute of Visual Computing and Human-Centered Technology, Computer Vision Lab, TU Wien, Vienna, Austria; Department of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research, Medical University of Vienna, Vienna, Austria
| | - Lucille A Moore
- Department of Psychiatry, Oregon Health and Science University, Portland, OR, USA
| | - Alexander Dufford
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| | - Lilla Zöllei
- A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Alice M Graham
- Department of Psychiatry, Oregon Health and Science University, Portland, OR, USA
| | - Marisa Spann
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Brittany Howell
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Department of Human Development and Family Science, Virginia Polytechnic Institute and State University, Roanoke, VA, USA
| | | | - Sarah Shultz
- Division of Autism & Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA; Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, GA, USA.
| | - Dustin Scheinost
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
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160
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Schmidt Mellado G, Pillay K, Adams E, Alarcon A, Andritsou F, Cobo MM, Evans Fry R, Fitzgibbon S, Moultrie F, Baxter L, Slater R. The impact of premature extrauterine exposure on infants' stimulus-evoked brain activity across multiple sensory systems. Neuroimage Clin 2021; 33:102914. [PMID: 34915328 PMCID: PMC8683775 DOI: 10.1016/j.nicl.2021.102914] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/10/2021] [Accepted: 12/09/2021] [Indexed: 11/03/2022]
Abstract
Prematurity can result in widespread neurodevelopmental impairment, with the impact of premature extrauterine exposure on brain function detectable in infancy. A range of neurodynamic and haemodynamic functional brain measures have previously been employed to study the neurodevelopmental impact of prematurity, with methodological and analytical heterogeneity across studies obscuring how multiple sensory systems are affected. Here, we outline a standardised template analysis approach to measure evoked response magnitudes for visual, tactile, and noxious stimulation in individual infants (n = 15) using EEG. By applying these templates longitudinally to an independent cohort of very preterm infants (n = 10), we observe that the evoked response template magnitudes are significantly associated with age-related maturation. Finally, in a cross-sectional study we show that the visual and tactile response template magnitudes differ between a cohort of infants who are age-matched at the time of study but who differ according to whether they are born during the very preterm or late preterm period (n = 10 and 8 respectively). These findings demonstrate the significant impact of premature extrauterine exposure on brain function and suggest that prematurity can accelerate maturation of the visual and tactile sensory system in infants born very prematurely. This study highlights the value of using a standardised multi-modal evoked-activity analysis approach to assess premature neurodevelopment, and will likely complement resting-state EEG and behavioural assessments in the study of the functional impact of developmental care interventions.
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Affiliation(s)
| | - Kirubin Pillay
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Eleri Adams
- Newborn Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Ana Alarcon
- Newborn Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Department of Neonatology, Hospital Sant Joan de Deu, Institut de Recerca Sant Joan de Deu, Universitat de Barcelona, Barcelona, Spain
| | | | - Maria M Cobo
- Department of Paediatrics, University of Oxford, Oxford, UK; Universidad San Francisco de Quito USFQ, Colegio de Ciencias Biologicas y Ambientales, Quito, Ecuador
| | - Ria Evans Fry
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Sean Fitzgibbon
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Fiona Moultrie
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Luke Baxter
- Department of Paediatrics, University of Oxford, Oxford, UK.
| | - Rebeccah Slater
- Department of Paediatrics, University of Oxford, Oxford, UK.
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161
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He Z, Du L, Huang Y, Jiang X, Lv J, Guo L, Zhang S, Zhang T. Gyral Hinges Account for the Highest Cost and the Highest Communication Capacity in a Corticocortical Network. Cereb Cortex 2021; 32:3359-3376. [PMID: 34875041 DOI: 10.1093/cercor/bhab420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/22/2021] [Accepted: 10/23/2021] [Indexed: 12/11/2022] Open
Abstract
Prior studies reported the global structure of brain networks exhibits the "small-world" and "rich-world" attributes. However, the underlying structural and functional architecture highlighted by these graph theory findings hasn't been explicitly related to the morphology of the cortex. This could be attributed to the lower resolution of used folding patterns, such as gyro-sulcal patterns. By defining a novel gyral folding pattern, termed gyral hinge (GH), which is the conjunction of ordinary gyri from multiple directions, we found GHs possess the highest length and cost in the white matter fiber connective network, and the shortest paths in the network tend to travel through GHs in their middle part. Based on these findings, we would hypothesize GHs could reside in the centers of a network core, thereby accounting for the highest cost and the highest communication capacity in a corticocortical network. The following results further support our hypothesis: 1) GHs possess stronger functional network integration capacity. 2) Higher cost is found on the connection with GHs to hinges and GHs to GHs. 3) Moving GHs introduces higher extra network cost. Our findings and hypotheses could reveal a profound relationship among the cortical folding patterns, axonal wiring architectures, and brain functions.
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Affiliation(s)
- Zhibin He
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Lei Du
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Ying Huang
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xi Jiang
- School of Life Science and Technology, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jinglei Lv
- School of Biomedical Engineering, Sydney Imaging, Brain and Mind Centre, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Shu Zhang
- School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
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162
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Wu M, Wang L, Liu Y, Bi J, Liu Q, Chen K, Li Y, Xia W, Xu S, Zhou A, Cao Z, Wang Y, Yang R. Association between early-term birth and delayed neurodevelopment at the age of 2 years: results from a cohort study in China. Eur J Pediatr 2021; 180:3509-3517. [PMID: 34137921 DOI: 10.1007/s00431-021-04152-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 06/04/2021] [Accepted: 06/08/2021] [Indexed: 10/21/2022]
Abstract
A growing body of evidence indicates that early-term births (37-38 weeks of gestational age) have an increased risk of short-term and long-term complications. Here, we sought to explore the association between early-term births and the risk of delayed neurodevelopment at age 2 years. Pregnant women and their live singleton birth were recruited from a single tertiary hospital between October 2013 and February 2017. Mental and Psychomotor Development Indexes (MDI and PDI) were assessed using the Bayley Scales of Infant Development (BSID). Delayed neurodevelopment was defined as scores of PDI or MDI less than -1SD relative to the mean score of the study population. In total, 1678 full-term infants and 727 early-term infants were assessed when they were 2 years old. After adjustment for potential confounders, early-term birth was related to 43% increased odds of neurodevelopmental delay in the PDI domain as compared with full-term birth (OR: 1.43; 95% CI: 1.12, 1.82). The observed associations were more prominent among those infants born by cesarean (OR: 1.44; 95% CI: 1.03, 2.00) and among males (OR: 1.66; 95% CI: 1.20, 2.28). No statistical difference in the MDI domain was found between early-term and full-term births.Conclusions: Our findings suggest that early-term birth was associated with increased odds of delayed neurodevelopment in the PDI domain as measured by BSID assessments at age 2 years. Health professionals should be aware of the influence of early-term birth on the risk of delayed neurodevelopment. What is Known: • Evidence indicates that early-term births have an increased risk of short-term and long-term complications. • The association between early-term births and delayed neurodevelopment at their early childhood has not been widely studied. What is New: • Early-term birth was associated with increased odds of delayed neurodevelopment in PDI domain as measured by BSID assessments at age 2 years. • The observed associations were more prominent among infants born by cesarean section and among male infants.
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Affiliation(s)
- Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Qing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Kai Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Aifen Zhou
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, 100 Hong Kong Road, Wuhan, 430015, Hubei, China
| | - Zhongqiang Cao
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, 100 Hong Kong Road, Wuhan, 430015, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, 430030, Hubei, China.
| | - Rong Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, 100 Hong Kong Road, Wuhan, 430015, Hubei, China.
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163
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Demers CH, Bagonis MM, Al-Ali K, Garcia SE, Styner MA, Gilmore JH, Hoffman MC, Hankin BL, Davis EP. Exposure to prenatal maternal distress and infant white matter neurodevelopment. Dev Psychopathol 2021; 33:1526-1538. [PMID: 35586027 PMCID: PMC9109943 DOI: 10.1017/s0954579421000742] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The prenatal period represents a critical time for brain growth and development. These rapid neurological advances render the fetus susceptible to various influences with life-long implications for mental health. Maternal distress signals are a dominant early life influence, contributing to birth outcomes and risk for offspring psychopathology. This prospective longitudinal study evaluated the association between prenatal maternal distress and infant white matter microstructure. Participants included a racially and socioeconomically diverse sample of 85 mother-infant dyads. Prenatal distress was assessed at 17 and 29 weeks' gestational age (GA). Infant structural data were collected via diffusion tensor imaging at 42-45 weeks' postconceptional age. Findings demonstrated that higher prenatal maternal distress at 29 weeks' GA was associated with increased fractional anisotropy (b = .283, t(64) = 2.319, p = .024) and with increased axial diffusivity (b = .254, t(64) = 2.067, p = .043) within the right anterior cingulate white matter tract. No other significant associations were found with prenatal distress exposure and tract fractional anisotropy or axial diffusivity at 29 weeks' GA, nor earlier in gestation.
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Affiliation(s)
- Catherine H. Demers
- Department of Psychology University of Denver, Denver CO,
USA
- Department of Psychiatry, University of Colorado Anschutz
Medical Campus, Aurora CO, USA
| | - Maria M. Bagonis
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - Khalid Al-Ali
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - Sarah E. Garcia
- Department of Psychology University of Denver, Denver CO,
USA
| | - Martin A. Styner
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
- Department of Computer Science, University of North
Carolina at Chapel Hill, Chapel Hill NC, USA
| | - John H. Gilmore
- Department of Psychiatry, University of North Carolina at
Chapel Hill, Chapel Hill NC, USA
| | - M. Camille Hoffman
- Department of Psychiatry, University of Colorado Anschutz
Medical Campus, Aurora CO, USA
- Department of Obstetrics and Gynecology, Division of
Maternal and Fetal Medicine, University of Colorado Denver School of Medicine,
Aurora, Colorado, USA
| | - Benjamin L. Hankin
- Department of Psychology, University of Illinois at
Urbana-Champaign, Champaign IL, USA
| | - Elysia Poggi Davis
- Department of Psychology University of Denver, Denver CO,
USA
- Department of Psychiatry and Human Behavior, University of
California, Irvine, CA, USA
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164
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Solis-Urra P, Esteban-Cornejo I, Rodriguez-Ayllon M, Verdejo-Román J, Labayen I, Catena A, Ortega FB. Early life factors and white matter microstructure in children with overweight and obesity: The ActiveBrains project. Clin Nutr 2021; 41:40-48. [PMID: 34864454 DOI: 10.1016/j.clnu.2021.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 10/05/2021] [Accepted: 10/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND & AIMS Exposure to a suboptimal environment during the fetal and early infancy period's results in long-term consequences for brain morphology and function. We investigated the associations of early life factors such as anthropometric neonatal data (i.e., birth length, birth weight and birth head circumference) and breastfeeding practices (i.e., exclusive and any breastfeeding) with white matter (WM) microstructure, and ii) we tested whether WM tracts related to early life factors are associated with academic performance in children with overweight/obesity. METHODS 96 overweight/obese children (10.03 ± 1.16 years; 38.7% girls) were included from the ActiveBrains Project. WM microstructure indicators used were fractional anisotropy (FA) and mean diffusivity (MD), derived from Diffusion Tensor Imaging. Academic performance was evaluated with the Battery III Woodcock-Muñoz Tests of Achievement. Regression models were used to examine the associations of the early life factors with tract-specific FA and MD, as well as its association with academic performance. RESULTS Head circumference at birth was positively associated with FA of the inferior fronto-occipital fasciculus tract (0.441; p = 0.005), as well as negatively associated with MD of the cingulate gyrus part of cingulum (-0.470; p = 0.006), corticospinal (-0.457; p = 0.005) and superior thalamic radiation tract (-0.476; p = 0.001). Association of birth weight, birth length and exclusive breastfeeding with WM microstructure did not remain significant after false discovery rate correction. None tract related to birth head circumference was associated with academic performance (all p > 0.05). CONCLUSIONS Our results highlighted the importance of the perinatal growth in WM microstructure later in life, although its possible academic implications remain inconclusive.
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Affiliation(s)
- Patricio Solis-Urra
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Spain; Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar, Chile.
| | - Irene Esteban-Cornejo
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Spain
| | - María Rodriguez-Ayllon
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Spain
| | - Juan Verdejo-Román
- Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain; Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Madrid, Spain
| | - Idoia Labayen
- Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Pamplona, Spain
| | - Andrés Catena
- Department of Experimental Psychology, Mind, Brain and Behaviour Research Centre (CIMCYC), University of Granada, Granada, Spain
| | - Francisco B Ortega
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Spain; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
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165
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Oldham S, Ball G, Fornito A. Early and late development of hub connectivity in the human brain. Curr Opin Psychol 2021; 44:321-329. [PMID: 34896927 DOI: 10.1016/j.copsyc.2021.10.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/14/2021] [Accepted: 10/28/2021] [Indexed: 12/28/2022]
Abstract
Human brain networks undergo pronounced changes during development. The emergence of highly connected hub regions that can support integrated brain function is central to this maturational process, with these areas undergoing a particularly protracted period of development that extends into adulthood. The location of cortical network hubs emerges early but connections to and from hubs continue to strengthen throughout childhood and adolescence. Patterns of functional coupling in cortical association hubs are immature and incomplete at birth, but gradually strengthen during development. Early establishment of hub connectivity may provide a stable substrate that is refined by changes in tissue organization and microstructure, resulting in the emergence of complex functional dynamics by adulthood.
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Affiliation(s)
- Stuart Oldham
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia.
| | - Gareth Ball
- Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia; Department of Paediatrics, University of Melbourne, Victoria, Australia
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia
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166
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Spencer APC, Brooks JCW, Masuda N, Byrne H, Lee-Kelland R, Jary S, Thoresen M, Goodfellow M, Cowan FM, Chakkarapani E. Motor function and white matter connectivity in children cooled for neonatal encephalopathy. Neuroimage Clin 2021; 32:102872. [PMID: 34749285 PMCID: PMC8578038 DOI: 10.1016/j.nicl.2021.102872] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/13/2021] [Accepted: 10/30/2021] [Indexed: 11/24/2022]
Abstract
Therapeutic hypothermia reduces the incidence of severe motor disability, such as cerebral palsy, following neonatal hypoxic-ischaemic encephalopathy. However, cooled children without cerebral palsy at school-age demonstrate motor deficits and altered white matter connectivity. In this study, we used diffusion-weighted imaging to investigate the relationship between white matter connectivity and motor performance, measured using the Movement Assessment Battery for Children-2, in children aged 6-8 years treated with therapeutic hypothermia for neonatal hypoxic-ischaemic encephalopathy at birth, who did not develop cerebral palsy (cases), and matched typically developing controls. Correlations between total motor scores and diffusion properties in major white matter tracts were assessed in 33 cases and 36 controls. In cases, significant correlations (FDR-corrected P < 0.05) were found in the anterior thalamic radiation bilaterally (left: r = 0.513; right: r = 0.488), the cingulate gyrus part of the left cingulum (r = 0.588), the hippocampal part of the left cingulum (r = 0.541), and the inferior fronto-occipital fasciculus bilaterally (left: r = 0.445; right: r = 0.494). No significant correlations were found in controls. We then constructed structural connectivity networks, for 22 cases and 32 controls, in which nodes represent brain regions and edges were determined by probabilistic tractography and weighted by fractional anisotropy. Analysis of whole-brain network metrics revealed correlations (FDR-corrected P < 0.05), in cases, between total motor scores and average node strength (r = 0.571), local efficiency (r = 0.664), global efficiency (r = 0.677), clustering coefficient (r = 0.608), and characteristic path length (r = -0.652). No significant correlations were found in controls. We then investigated edge-level association with motor function using the network-based statistic. This revealed subnetworks which exhibited group differences in the association between motor outcome and edge weights, for total motor scores (P = 0.0109) as well as for balance (P = 0.0245) and manual dexterity (P = 0.0233) domain scores. All three of these subnetworks comprised numerous frontal lobe regions known to be associated with motor function, including the superior frontal gyrus and middle frontal gyrus. The subnetwork associated with total motor scores was highly left-lateralised. These findings demonstrate an association between impaired motor function and brain organisation in school-age children treated with therapeutic hypothermia for neonatal hypoxic-ischaemic encephalopathy.
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Affiliation(s)
- Arthur P C Spencer
- Clinical Research and Imaging Centre, University of Bristol, Bristol, UK; Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jonathan C W Brooks
- Clinical Research and Imaging Centre, University of Bristol, Bristol, UK; School of Psychology, University of East Anglia, Norwich, UK
| | - Naoki Masuda
- Department of Mathematics, State University of New York at Buffalo, Buffalo, NY, USA; Computational and Data-Enabled Science and Engineering Program, State University of New York at Buffalo, Buffalo, NY, USA
| | - Hollie Byrne
- Clinical Research and Imaging Centre, University of Bristol, Bristol, UK; Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Richard Lee-Kelland
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sally Jary
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Marianne Thoresen
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Marc Goodfellow
- Living Systems Institute, University of Exeter, Exeter, UK; Wellcome Trust Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, UK; EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
| | - Frances M Cowan
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Department of Paediatrics, Imperial College London, London, UK
| | - Ela Chakkarapani
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; Neonatal Intensive Care Unit, St Michael's Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
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167
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Merzon E, Gutbir Y, Vinker S, Golan Cohen A, Horwitz D, Ashkenazi S, Sadaka Y. Early Childhood Shigellosis and Attention Deficit Hyperactivity Disorder: A Population-Based Cohort Study with a Prolonged Follow-up. J Atten Disord 2021; 25:1791-1800. [PMID: 32698643 PMCID: PMC8427818 DOI: 10.1177/1087054720940392] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Although the short-term neurological complications of Shigella spp. are well described, potential neuropsychiatric outcomes have not been studied yet. We investigated the association between early childhood shigellosis and subsequent ADHD. METHODS This is a retrospective population-based cohort. Using a large Health Maintenance Organization database, the prevalence of ADHD was investigated among children aged 5-18 years who underwent stool culture prior to the age of 3 years. RESULTS Of 52,761 children with a stool culture examined, 5,269 (9.98%) had Shigella-positive results. The rate of ADHD was 10.6% and 8.6% among children with Shigella-positive and Shigella-negative stool cultures, respectively (p < .001). Adjusted odds ratio for ADHD after controlling for gender and socioeconomic status was 1.21 (CI 1.13-1.29, p < .001). The younger the child was during Shigella gastroenteritis, the higher was the association with ADHD (p < .001). CONCLUSION Early childhood shigellosis is associated with an increased rate of long-term ADHD.
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Affiliation(s)
- Eugene Merzon
- Leumit HMO, Tel-Aviv, Israel,Tel Aviv University, Tel Aviv, Israel
| | - Yuval Gutbir
- Ben-Gurion University of the Negev, Beer-Sheva, Israel,Hadassah Ein Karem Hospital, Jerusalem, Israel
| | - Shlomo Vinker
- Leumit HMO, Tel-Aviv, Israel,Tel Aviv University, Tel Aviv, Israel
| | | | - Dana Horwitz
- Ben-Gurion University of the Negev, Beer-Sheva, Israel,Mental Health Institute, Beer Sheva, Israel
| | | | - Yair Sadaka
- Ben-Gurion University of the Negev, Beer-Sheva, Israel,Mental Health Institute, Beer Sheva, Israel,Yair Sadaka, Neuro-Developmental Center, The Beer Sheva Mental Health Center, Hazadik Meyerushalim 2, Beer Sheva, Israel.
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168
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Abstract
Magnetic resonance fingerprinting (MRF) is increasingly being used to evaluate brain development and differentiate normal and pathologic tissues in children. MRF can provide reliable and accurate intrinsic tissue properties, such as T1 and T2 relaxation times. MRF is a powerful tool in evaluating brain disease in pediatric population. MRF is a new quantitative MR imaging technique for rapid and simultaneous quantification of multiple tissue properties.
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Affiliation(s)
- Sheng-Che Hung
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 2006 Old Clinic, CB#7510, 101 Manning Dr, Chapel Hill, NC 27599, USA; Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Marsico Hall, suite 1200, Chapel Hill, NC 27599, USA
| | - Yong Chen
- Department of Radiology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA
| | - Pew-Thian Yap
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 2006 Old Clinic, CB#7510, 101 Manning Dr, Chapel Hill, NC 27599, USA; Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Marsico Hall, suite 1200, Chapel Hill, NC 27599, USA
| | - Weili Lin
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 2006 Old Clinic, CB#7510, 101 Manning Dr, Chapel Hill, NC 27599, USA; Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Marsico Hall, suite 1200, Chapel Hill, NC 27599, USA.
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169
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Cottaar M, Wu W, Tendler BC, Nagy Z, Miller K, Jbabdi S. Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations. Magn Reson Med 2021; 86:2618-2634. [PMID: 34254349 PMCID: PMC8581995 DOI: 10.1002/mrm.28907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE Myelin has long been the target of neuroimaging research. However, most available techniques can only provide a voxel-averaged estimate of myelin content. In the human brain, white matter fiber pathways connecting different brain areas and carrying different functions often cross each other in the same voxel. A measure that can differentiate the degree of myelination of crossing fibers would provide a more specific marker of myelination. THEORY AND METHODS One MRI signal property that is sensitive to myelin is the phase accumulation. This sensitivity is used by measuring the phase accumulation of the signal remaining after diffusion-weighting, which is called diffusion-prepared phase imaging (DIPPI). Including diffusion-weighting before estimating the phase accumulation has two distinct advantages for estimating the degree of myelination: (1) It increases the relative contribution of intra-axonal water, whose phase is related linearly to the thickness of the surrounding myelin (in particular the log g-ratio); and (2) it gives directional information, which can be used to distinguish between crossing fibers. Here the DIPPI sequence is described, an approach is proposed to estimate the log g-ratio, and simulations are used and DIPPI data acquired in an isotropic phantom to quantify other sources of phase accumulation. RESULTS The expected bias is estimated in the log g-ratio for reasonable in vivo acquisition parameters caused by eddy currents (~4%-10%), remaining extra-axonal signal (~15%), and gradients in the bulk off-resonance field (<10% for most of the brain). CONCLUSION This new sequence may provide a g-ratio estimate per fiber population crossing within a voxel.
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Affiliation(s)
- Michiel Cottaar
- Wellcome Centre for Integrative Neuroimaging—Centre for Functional Magnetic Resonance Imaging of the BrainJohn Radcliffe HospitalUniversity of OxfordOxfordUnited Kingdom
| | - Wenchuan Wu
- Wellcome Centre for Integrative Neuroimaging—Centre for Functional Magnetic Resonance Imaging of the BrainJohn Radcliffe HospitalUniversity of OxfordOxfordUnited Kingdom
| | - Benjamin C. Tendler
- Wellcome Centre for Integrative Neuroimaging—Centre for Functional Magnetic Resonance Imaging of the BrainJohn Radcliffe HospitalUniversity of OxfordOxfordUnited Kingdom
| | - Zoltan Nagy
- Laboratory for Social and Neural Systems ResearchUniversity of ZurichZurichSwitzerland
| | - Karla Miller
- Wellcome Centre for Integrative Neuroimaging—Centre for Functional Magnetic Resonance Imaging of the BrainJohn Radcliffe HospitalUniversity of OxfordOxfordUnited Kingdom
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging—Centre for Functional Magnetic Resonance Imaging of the BrainJohn Radcliffe HospitalUniversity of OxfordOxfordUnited Kingdom
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170
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Markus M, Nagelsmann H, Schneider M, Rupp L, Spies C, Koch S. Peri- and intraoperative EEG signatures in newborns and infants. Clin Neurophysiol 2021; 132:2959-2964. [PMID: 34715420 DOI: 10.1016/j.clinph.2021.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The electroencephalographic derived indices have been developed for adult patients, however these monitors have not been validated for infants. METHODS Frontal EEGs were recorded in 115 infants aged <1 year [0-3-months (N = 27), 4-6-months (N = 30), 7-9-months (N = 29) and 10-12-months (N = 29)] who received general anaesthesia with sevoflurane. Total power (µV2) and relative β-, α-, θ-, δ-power (%) were analyzed. Additionally, in 20 EEGs event marker were added (baseline, loss of consciousness, intraoperative situation, extubation) to assess perioperative EEG dynamics. RESULTS Newborns show a mean relative δ-power at 80% in intraoperative EEG compared to infants (10-12 months) showing 47.5%. Relative β-power and α-power are low in newborns (mean 3.2% and 4.6%; respectively), with a marked increase in the older infants (4-6 months) (mean 10.9% and 14.4%; respectively). EEG dynamic in newborns from baseline (relative δ-power of 88%) to the intraoperative situation (80.5%) are discrete. In contrast infants >6-months have a strong reduction of relative δ-power from baseline to the intraoperative situation, which corresponds to an increase of faster frequencies. CONCLUSIONS Age dependent perioperative EEG signatures can be demonstrated in infants younger than one year. SIGNIFICANCE We demonstrate significant differences in EEG readouts between newborns and infants which questions our monitoring systems in paediatric anaesthesia.
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Affiliation(s)
- M Markus
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany
| | - H Nagelsmann
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany
| | - M Schneider
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany
| | - L Rupp
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany
| | - C Spies
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany
| | - S Koch
- Department of Anaesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany.
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171
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Natu VS, Rosenke M, Wu H, Querdasi FR, Kular H, Lopez-Alvarez N, Grotheer M, Berman S, Mezer AA, Grill-Spector K. Infants' cortex undergoes microstructural growth coupled with myelination during development. Commun Biol 2021; 4:1191. [PMID: 34650227 PMCID: PMC8516989 DOI: 10.1038/s42003-021-02706-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/21/2021] [Indexed: 12/28/2022] Open
Abstract
Development of cortical tissue during infancy is critical for the emergence of typical brain functions in cortex. However, how cortical microstructure develops during infancy remains unknown. We measured the longitudinal development of cortex from birth to six months of age using multimodal quantitative imaging of cortical microstructure. Here we show that infants' cortex undergoes profound microstructural tissue growth during the first six months of human life. Comparison of postnatal to prenatal transcriptomic gene expression data demonstrates that myelination and synaptic processes are dominant contributors to this postnatal microstructural tissue growth. Using visual cortex as a model system, we find hierarchical microstructural growth: higher-level visual areas have less mature tissue at birth than earlier visual areas but grow at faster rates. This overturns the prominent view that visual areas that are most mature at birth develop fastest. Together, in vivo, longitudinal, and quantitative measurements, which we validated with ex vivo transcriptomic data, shed light on the rate, sequence, and biological mechanisms of developing cortical systems during early infancy. Importantly, our findings propose a hypothesis that cortical myelination is a key factor in cortical development during early infancy, which has important implications for diagnosis of neurodevelopmental disorders and delays in infants.
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Affiliation(s)
- Vaidehi S. Natu
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Mona Rosenke
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Hua Wu
- Center for Cognitive and Neurobiological Imaging, Stanford, CA 94305 USA
| | - Francesca R. Querdasi
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA ,grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095 USA
| | - Holly Kular
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Nancy Lopez-Alvarez
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Mareike Grotheer
- grid.168010.e0000000419368956Department of Psychology, Stanford University, Stanford, CA 94305 USA ,grid.10253.350000 0004 1936 9756Department of Psychology, University of Marburg, Marburg, 35039 Germany ,grid.513205.0Center for Mind, Brain and Behavior – CMBB, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Marburg, 35039 Germany
| | - Shai Berman
- grid.9619.70000 0004 1937 0538Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, 91904 Israel
| | - Aviv A. Mezer
- grid.9619.70000 0004 1937 0538Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, 91904 Israel
| | - Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, CA, 94305, USA. .,Neurosciences Program, Stanford University, Stanford, CA, 94305, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
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172
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Khurana S, Evans ME, Kelly CE, Thompson DK, Burnsed J, Harper A, Hendricks-Munoz K, Shall MS, Stevenson RD, Inamdar K, Vorona G, Dusing SC. Longitudinal Changes in the Sensorimotor Pathways of Very Preterm Infants During the First Year of Life With and Without Intervention: A Pilot Study. Dev Neurorehabil 2021; 24:448-455. [PMID: 34160340 PMCID: PMC8429051 DOI: 10.1080/17518423.2021.1903602] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objective: Evaluate longitudinal changes in brain microstructure and volumes in very preterm infants during the first year of life with and without intervention.Design: Descriptive pilot study.Methods: Five preterm infants in a three-arm clinical trial, one SPEEDI Early, two SPEEDI Late, and two usual care. Brain structural and diffusion MRI's were acquired within 72 hours after neonatal intensive care unit discharge (n = 5), three months post-baseline (n = 5), and six months post-baseline (n = 3). Fractional anisotropy (FA), Mean diffusivity (MD), and volume metrics were computed for five brain regions.Results: More than 60% of eligible participants completed 100% of the scheduled MRIs. FA and volume increased from baseline to six months across all brain regions. Rate of white matter volume change from baseline to six months was highest in SPEEDI Early.Conclusions: Non-sedated longitudinal MRI is feasible in very preterm infants and appears to demonstrate longitudinal changes in brain structure and connectivity.
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Affiliation(s)
- Sonia Khurana
- Motor Development Lab, Virginia Commonwealth University, Richmond, Virginia
| | - Megan E Evans
- Motor Development Lab, Virginia Commonwealth University, Richmond, Virginia
| | - Claire E Kelly
- Victorian Infant Brain Studies (VIBeS) and Developmental Imaging, Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Deanne K Thompson
- Victorian Infant Brain Studies (VIBeS) and Developmental Imaging, Murdoch Children’s Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Jennifer Burnsed
- Division of Neonatology, University of Virginia, Charlottesville, Virginia
| | - Amy Harper
- Department of Neurology, Virginia Commonwealth University, Richmond, Virginia
| | - Karen Hendricks-Munoz
- Department of Pediatrics, Virginia Commonwealth University School of Medicine, Children’s Hospital of Richmond at VCU Richmond, Virginia
| | - Mary S Shall
- Department of Physical Therapy, Virginia Commonwealth University, Richmond, Virginia
| | - Richard D Stevenson
- Division of Neurodevelopmental and Behavioral Pediatrics, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Ketaki Inamdar
- Rehabilitation and Movement Sciences, Motor Development Lab, Virginia Commonwealth University, Richmond, Virginia
| | - Greg Vorona
- Department of Radiology, Virginia Commonwealth University, Richmond, Virginia
| | - Stacey C Dusing
- Motor Development Lab, Department of Biokinesiology and Physical Therapy, University of Southern California
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173
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Sato J, Vandewouw MM, Bando N, Branson HM, O'Connor DL, Unger SL, Taylor MJ. White matter alterations and cognitive outcomes in children born very low birth weight. Neuroimage Clin 2021; 32:102843. [PMID: 34601309 PMCID: PMC8496319 DOI: 10.1016/j.nicl.2021.102843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 09/23/2021] [Accepted: 09/24/2021] [Indexed: 10/25/2022]
Abstract
BACKGROUND Very low birth weight (VLBW) infants are at risk for disrupted white matter maturation, yet little is known about the contributing factors, particularly at preschool-age when cognitive difficulties begin to emerge. We examined white matter microstructure in five-year-old VLBW and full-term (FT) children, and its association with cognitive outcomes and birth weight. METHODS Multi-shell diffusion and MR images were obtained for 41 VLBW (mean birth weight: 1028.6 ± 256.8 g) and 26 FT (3295.4 ± 493.9 g) children. Fractional anisotropy (FA), radial diffusivity (RD), neurite orientation dispersion index (ODI) and density index (NDI) were estimated using diffusion tensor and neurite orientation dispersion and density imaging models. Between-group analyses used a general linear model with group and sex as explanatory variables. Within-group associations between white matter microstructure, cognitive outcomes and birth weight were also investigated. RESULTS VLBW compared to FT children showed lower FA and NDI across widespread white matter regions. Smaller clusters of atypical ODI were also found in VLBW children. Within-group analyses in FT children revealed that lower RD and higher NDI were associated with vocabulary acquisition and working memory. In VLBW children, higher FA and NDI, and lower RD and ODI, were associated with improved processing speed. In both groups, FA was positively associated with birth weight. CONCLUSIONS Our findings demonstrate white matter alterations in young VLBW children, including widespread reductions in axon density that may reflect sustained myelination disruptions. The associations with cognitive outcomes may also highlight which of the VLBW children are at higher risk for later cognitive difficulties.
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Affiliation(s)
- Julie Sato
- Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Psychology, University of Toronto, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.
| | - Marlee M Vandewouw
- Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Nicole Bando
- Translational Medicine, SickKids Research Institute, Toronto, Ontario, Canada
| | - Helen M Branson
- Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Medical Imaging, University of Toronto, Ontario, Canada
| | - Deborah L O'Connor
- Translational Medicine, SickKids Research Institute, Toronto, Ontario, Canada; Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada; Paediatrics, Mount Sinai Health, Toronto, Ontario, Canada
| | - Sharon L Unger
- Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada; Paediatrics, University of Toronto, Toronto, Ontario, Canada; Paediatrics, Mount Sinai Health, Toronto, Ontario, Canada; Division of Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Margot J Taylor
- Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Psychology, University of Toronto, Toronto, Ontario, Canada; Neurosciences & Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada; Medical Imaging, University of Toronto, Ontario, Canada; Paediatrics, University of Toronto, Toronto, Ontario, Canada
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174
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Schmidbauer VU, Dovjak GO, Yildirim MS, Mayr-Geisl G, Weber M, Diogo MC, Gruber GM, Prayer F, Milos RI, Stuempflen M, Ulm B, Binder J, Bettelheim D, Kiss H, Prayer D, Kasprian G. Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI. AJNR Am J Neuroradiol 2021; 42:2086-2093. [PMID: 34503947 DOI: 10.3174/ajnr.a7286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/19/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE On the basis of a single multidynamic multiecho sequence acquisition, SyMRI generates a variety of quantitative image data that can characterize tissue-specific properties. The aim of this retrospective study was to evaluate the feasibility of SyMRI for the qualitative and quantitative assessment of fetal brain maturation. MATERIALS AND METHODS In 52 fetuses, multidynamic multiecho sequence acquisitions were available. SyMRI was used to perform multidynamic multiecho-based postprocessing. Fetal brain maturity was scored qualitatively on the basis of SyMRI-generated MR imaging data. The results were compared with conventionally acquired T1-weighted/T2-weighted contrasts as a standard of reference. Myelin-related changes in T1-/T2-relaxation time/relaxation rate, proton density, and MR imaging signal intensity of the developing fetal brain stem were measured. A Pearson correlation analysis was used to detect correlations between the following: 1) the gestational age at MR imaging and the fetal brain maturity score, and 2) the gestational age at MR imaging and the quantitative measurements. RESULTS SyMRI provided images of sufficient quality in 12/52 (23.08%) (range, 23 + 6-34 + 0) fetal multidynamic multiecho sequence acquisitions. The fetal brain maturity score positively correlated with gestational age at MR imaging (SyMRI: r = 0.915, P < .001/standard of reference: r = 0.966, P < .001). Myelination-related changes in the T2 relaxation time/T2 relaxation rate of the medulla oblongata significantly correlated with gestational age at MR imaging (T2-relaxation time: r = -0.739, P = .006/T2-relaxation rate: r = 0.790, P = .002). CONCLUSIONS Fetal motion limits the applicability of multidynamic multiecho-based postprocessing. However, SyMRI-generated image data of sufficient quality enable the qualitative assessment of maturity-related changes of the fetal brain. In addition, quantitative T2 relaxation time/T2 relaxation rate mapping characterizes myelin-related changes of the brain stem prenatally. This approach, if successful, opens novel possibilities for the evaluation of structural and biochemical aspects of fetal brain maturation.
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Affiliation(s)
- V U Schmidbauer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G O Dovjak
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M S Yildirim
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | | | - M Weber
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M C Diogo
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G M Gruber
- Department of Anatomy and Biomechanics (G.M.G.), Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - F Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - R-I Milos
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - M Stuempflen
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - B Ulm
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - J Binder
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Bettelheim
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - H Kiss
- Obstetrics and Gynecology (B.U., J.B., D.B., H.K.), Medical University of Vienna, Vienna, Austria
| | - D Prayer
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
| | - G Kasprian
- From the Departments of Biomedical Imaging and Image-Guided Therapy (V.U.S., G.O.D., M.S.Y., M.W., M.C.D., F.P., R.-I.M., M.S., D.P. G.K)
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175
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Cattani D, Struyf N, Steffensen V, Bergquist J, Zamoner A, Brittebo E, Andersson M. Perinatal exposure to a glyphosate-based herbicide causes dysregulation of dynorphins and an increase of neural precursor cells in the brain of adult male rats. Toxicology 2021; 461:152922. [PMID: 34474092 DOI: 10.1016/j.tox.2021.152922] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/05/2021] [Accepted: 08/27/2021] [Indexed: 01/01/2023]
Abstract
Glyphosate, the most used herbicide worldwide, has been suggested to induce neurotoxicity and behavioral changes in rats after developmental exposure. Studies of human glyphosate intoxication have reported adverse effects on the nervous system, particularly in substantia nigra (SN). Here we used matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry (IMS) to study persistent changes in peptide expression in the SN of 90-day-old adult male Wistar rats. The animals were perinatally exposed to 3 % GBH (glyphosate-based herbicide) in drinking water (corresponding to 0.36 % of glyphosate) starting at gestational day 5 and continued up to postnatal day 15 (PND15). Peptides are present in the central nervous system before birth and play a critical role in the development and survival of neurons, therefore, observed neuropeptide changes could provide better understanding of the GBH-induced long term effects on SN. The results revealed 188 significantly altered mass peaks in SN of animals perinatally exposed to GBH. A significant reduction of the peak intensity (P < 0.05) of several peptides from the opioid-related dynorphin family such as dynorphin B (57 %), alpha-neoendorphin (50 %), and its endogenous metabolite des-tyrosine alpha-neoendorphin (39 %) was detected in the GBH group. Immunohistochemical analysis confirmed a decreased dynorphin expression and showed a reduction of the total area of dynorphin immunoreactive fibers in the SN of the GBH group. In addition, a small reduction of dynorphin immunoreactivity associated with non-neuronal cells was seen in the hilus of the hippocampal dentate gyrus. Perinatal exposure to GBH also induced an increase in the number of nestin-positive cells in the subgranular zone of the dentate gyrus. In conclusion, the results demonstrate long-term changes in the adult male rat SN and hippocampus following a perinatal GBH exposure suggesting that this glyphosate-based formulation may perturb critical neurodevelopmental processes.
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Affiliation(s)
- Daiane Cattani
- Department of Pharmaceutical Biosciences - BMC, Uppsala University, Box 591, 75124, Uppsala, Sweden; Department of Biochemistry, Federal University of Santa Catarina, Florianopolis, 88040-970, Brazil.
| | - Nona Struyf
- Department of Pharmaceutical Biosciences - BMC, Uppsala University, Box 591, 75124, Uppsala, Sweden
| | - Vivien Steffensen
- Department of Pharmaceutical Biosciences - BMC, Uppsala University, Box 591, 75124, Uppsala, Sweden
| | - Jonas Bergquist
- Department of Chemistry - BMC, Analytical Chemistry and Neurochemistry, Uppsala University, Box 559, 75124, Uppsala, Sweden
| | - Ariane Zamoner
- Department of Biochemistry, Federal University of Santa Catarina, Florianopolis, 88040-970, Brazil
| | - Eva Brittebo
- Department of Pharmaceutical Biosciences - BMC, Uppsala University, Box 591, 75124, Uppsala, Sweden
| | - Malin Andersson
- Department of Pharmaceutical Biosciences - BMC, Uppsala University, Box 591, 75124, Uppsala, Sweden
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176
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Malik SJ, Hand JW, Satnarine R, Price AN, Hajnal JV. Specific absorption rate and temperature in neonate models resulting from exposure to a 7T head coil. Magn Reson Med 2021; 86:1299-1313. [PMID: 33811667 DOI: 10.1002/mrm.28784] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/11/2021] [Accepted: 03/06/2021] [Indexed: 11/07/2022]
Abstract
PURPOSE To investigate safe limits for neonatal imaging using a 7T head coil, including both specific absorption rate (SAR) and temperature predictions. METHODS Head-centered neonate models were simulated using finite-difference time domain-based electromagnetic and thermal solvers. The effects of higher water content of neonatal tissues compared with adults, position shifts, and thermal insulation were also considered. An adult model was simulated for comparison. RESULTS Maximum and average SAR are both elevated in the neonate when compared with an adult model. When normalized to B1+ , the SAR experienced by a neonate is greater than an adult by approximately a factor of 2; when normalized to net forward power (forward-reflected), this increases to a factor of 2.5-3.0; and when normalized to absorbed power, approximately a factor of 4. Use of age-adjusted dielectric properties significantly increases the predicted SAR, compared with using adult tissue properties for the neonates. Thermal simulations predict that change in core temperature/maximum temperature remain compliant with International Electrotechnical Commission limits when a thermally insulated neonate is exposed at the SAR limit for up to an hour. CONCLUSION This study of two neonate models cannot quantify the variability expected within a larger population. Likewise, the use of age-adjusted dielectric properties have a significant effect, but while their use is well motivated by literature, there is uncertainty in the true dielectric properties of neonatal tissue. Nevertheless, the main finding is that unlike at lower field strengths, operational limits for 7T neonatal MRI using an adult head coil should be more conservative than limits for use on adults.
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Affiliation(s)
- Shaihan J Malik
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.,Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Jeffrey W Hand
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Ryan Satnarine
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Anthony N Price
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.,Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
| | - Joseph V Hajnal
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.,Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom
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177
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Li J, Liao J, Hu C, Bao S, Mahai G, Cao Z, Lin C, Xia W, Xu S, Li Y. Preconceptional and the first trimester exposure to PM 2.5 and offspring neurodevelopment at 24 months of age: Examining mediation by maternal thyroid hormones in a birth cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 284:117133. [PMID: 33894536 DOI: 10.1016/j.envpol.2021.117133] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 06/12/2023]
Abstract
Prenatal fine particulate matter (PM2.5) exposure has been associated with impaired offspring neurodevelopment; however, the association of PM2.5 exposure during preconception with offspring's neurodevelopment and factors responsible for this association are still unclear. This study estimated the associations of PM2.5 exposure during preconception and the first trimester with offspring neurodevelopment and evaluated whether maternal thyroid hormones mediate these associations. We recruited 1329 mother-child pairs between 2013 and 2015 in Wuhan, China. PM2.5 exposure levels of each woman during the 3 months preconception and the first trimester were estimated using land-use regression models. Offspring neurodevelopment characterized by mental developmental index (MDI) and psychomotor developmental index (PDI) were measured at 24 months of age. Maternal serum levels of free thyroxine (FT3), free triiodothyronine (FT4), and thyroid-stimulating hormone (TSH) during early pregnancy were measured of a subset of the 1329 women (551 women). Generalized estimation equation and general linear regression models were used to estimate the associations between maternal PM2.5 exposure, thyroid hormones, and offspring neurodevelopment. After adjusting for potential confounders, we found that either among all participants or the subset, PM2.5 exposure during preconception and the first trimester was negatively associated with offspring PDI. Double increment in the first trimester PM2.5 exposure was significantly associated with 3.43 and 6.48 points decrease in offspring MDI. In the subset, each doubling of PM2.5 exposure during preconception and the first trimester was significantly associated with 7.93 and 8.02 points decrease in maternal FT4 level, respectively. Increased maternal FT4, in turn, was associated with increased PDI (β = 16.69, 95% CI: 5.39, 27.99). About 7.7% (95% CI: 2.0%-19.4%) and 8.6% (95% CI: 3.0%, 22.1%) of the effect of PM2.5 exposure during preconception on offspring PDI was mediated through maternal FT4 and the FT4/FT3 ratio, respectively.
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Affiliation(s)
- Juxiao Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Jiaqiang Liao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Chen Hu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Shuangshuang Bao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Gaga Mahai
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Zhongqiang Cao
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan, 430000, Hubei, People's Republic of China
| | - Chunye Lin
- Beijing Normal University, 100875, Beijing, People's Republic of China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
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178
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Microstructural properties within the amygdala and affiliated white matter tracts across adolescence. Neuroimage 2021; 243:118489. [PMID: 34450260 PMCID: PMC8574981 DOI: 10.1016/j.neuroimage.2021.118489] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/16/2021] [Accepted: 08/19/2021] [Indexed: 11/22/2022] Open
Abstract
The amygdala is a heterogenous set of nuclei with widespread cortical connections that continues to develop postnatally with vital implications for emotional regulation. Using high-resolution anatomical and multi-shell diffusion MRI in conjunction with novel amygdala segmentation, cutting-edge tractography, and Neurite Orientation Dispersion and Density (NODDI) methods, the goal of the current study was to characterize age associations with microstructural properties of amygdala subnuclei and amygdala-related white matter connections across adolescence (N = 61, 26 males; ages of 8-22 years). We found age-related increases in the Neurite Density Index (NDI) in the lateral nucleus (LA), dorsal and intermediate divisions of the basolateral nucleus (BLDI), and ventral division of the basolateral nucleus and paralaminar nucleus (BLVPL). Additionally, there were age-related increases in the NDI of the anterior commissure, ventral amygdalofugal pathway, cingulum, and uncinate fasciculus, with the strongest age associations in the frontal and temporal regions of these white matter tracts. This is the first study to utilize NODDI to show neurite density of basolateral amygdala subnuclei to relate to age across adolescence. Moreover, age-related differences were also notable in white matter microstructural properties along the anterior commissure and ventral amydalofugal tracts, suggesting increased bilateral amygdalae to diencephalon structural connectivity. As these basolateral regions and the ventral amygdalofugal pathways have been involved in associative emotional conditioning, future research is needed to determine if age-related and/or individual differences in the development of these microstructural properties link to socio-emotional functioning and/or risk for psychopathology.
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179
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Cheng W, Luo N, Zhang Y, Zhang X, Tan H, Zhang D, Sui J, Yue W, Yan H. DNA Methylation and Resting Brain Function Mediate the Association between Childhood Urbanicity and Better Speed of Processing. Cereb Cortex 2021; 31:4709-4718. [PMID: 33987663 PMCID: PMC8408435 DOI: 10.1093/cercor/bhab117] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 04/07/2021] [Accepted: 04/09/2021] [Indexed: 01/10/2023] Open
Abstract
Urbanicity has been suggested to affect cognition, but the underlying mechanism remains unknown. We examined whether epigenetic modification (DNA methylation, DNAm), and brain white matter fiber integrity (fractional anisotropy, FA) or local spontaneous brain function activity (regional homogeneity, ReHo) play roles in the association between childhood urbanicity and cognition based on 497 healthy Chinese adults. We found significant correlation between childhood urbanicity and better cognitive performance. Multiset canonical correlation analysis (mCCA) identified an intercorrelated DNAm-FA-ReHo triplet, which showed significant pairwise correlations (DNAm-FA: Bonferroni-adjusted P, Pbon = 4.99E-03, rho = 0.216; DNAm-ReHo: Pbon = 4.08E-03, rho = 0.239; ReHo-FA: Pbon = 1.68E-06, rho = 0.328). Causal mediation analysis revealed that 1) ReHo mediated 10.86% childhood urbanicity effects on the speed of processing and 2) childhood urbanicity alters ReHo through DNA methylation in the cadherin and Wnt signaling pathways (mediated effect: 48.55%). The mediation effect of increased ReHo in the superior temporal gyrus underlying urbanicity impact on a better speed of processing was further validated in an independent cohort. Our work suggests a mediation role for ReHo, particularly increased brain activity in the superior temporal gyrus, in the urbanicity-associated speed of processing.
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Affiliation(s)
- Weiqiu Cheng
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Na Luo
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiao Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Haoyang Tan
- Lieber Institute for Brain Development, Baltimore, MD 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Beijing 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Jing Sui
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Weihua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing 100191, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
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180
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Early magnetic resonance imaging biomarkers of schizophrenia spectrum disorders: Toward a fetal imaging perspective. Dev Psychopathol 2021; 33:899-913. [PMID: 32489161 DOI: 10.1017/s0954579420000218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There is mounting evidence to implicate the intrauterine environment as the initial pathogenic stage for neuropsychiatric disease. Recent developments in magnetic resonance imaging technology are making a multimodal analysis of the fetal central nervous system a reality, allowing analysis of structural and functional parameters. Exposures to a range of pertinent risk factors whether preconception or in utero can now be indexed using imaging techniques within the fetus' physiological environment. This approach may determine the first "hit" required for diseases that do not become clinically manifest until adulthood, and which only have subtle clinical markers during childhood and adolescence. A robust characterization of a "multi-hit" hypothesis may necessitate a longitudinal birth cohort; within this investigative paradigm, the full range of genetic and environmental risk factors can be assessed for their impact on the early developing brain. This will lay the foundation for the identification of novel biomarkers and the ability to devise methods for early risk stratification and disease prevention. However, these early markers must be followed over time: first, to account for neural plasticity, and second, to assess the effects of postnatal exposures that continue to drive the individual toward disease. We explore these issues using the schizophrenia spectrum disorders as an illustrative paradigm. However, given the potential richness of fetal magnetic resonance imaging, and the likely overlap of biomarkers, these concepts may extend to a range of neuropsychiatric conditions.
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181
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de Planque CA, Mutsaerts HJMM, Keil VC, Erler NS, Dremmen MHG, Mathijssen IMJ, Petr J. Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population. Front Neurosci 2021; 15:698007. [PMID: 34349619 PMCID: PMC8326566 DOI: 10.3389/fnins.2021.698007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/04/2021] [Indexed: 11/13/2022] Open
Abstract
Spatial normalization is an important step for group image processing and evaluation of mean brain perfusion in anatomical regions using arterial spin labeling (ASL) MRI and is typically performed via high-resolution structural brain scans. However, structural segmentation and/or spatial normalization to standard space is complicated when gray-white matter contrast in structural images is low due to ongoing myelination in newborns and infants. This problem is of particularly clinical relevance for imaging infants with inborn or acquired disorders that impair normal brain development. We investigated whether the ASL MRI perfusion contrast is a viable alternative for spatial normalization, using a pseudo-continuous ASL acquired using a 1.5 T MRI unit (GE Healthcare). Four approaches have been compared: (1) using the structural image contrast, or perfusion contrast with (2) rigid, (3) affine, and (4) nonlinear transformations - in 16 healthy controls [median age 0.83 years, inter-quartile range (IQR) ± 0.56] and 36 trigonocephaly patients (median age 0.50 years, IQR ± 0.30) - a non-syndromic type of craniosynostosis. Performance was compared quantitatively using the real-valued Tanimoto coefficient (TC), visually by three blinded readers, and eventually by the impact on regional cerebral blood flow (CBF) values. For both patients and controls, nonlinear registration using perfusion contrast showed the highest TC, at 17.51 (CI 6.66-49.38) times more likely to have a higher rating and 17.45-18.88 ml/100 g/min higher CBF compared with the standard normalization. Using perfusion-based contrast improved spatial normalization compared with the use of structural images, significantly affected the regional CBF, and may open up new possibilities for future large pediatric ASL brain studies.
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Affiliation(s)
- Catherine A. de Planque
- Department of Plastic and Reconstructive Surgery and Hand Surgery, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Henk J. M. M. Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Vera C. Keil
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Nicole S. Erler
- Department of Biostatistics, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Marjolein H. G. Dremmen
- Department of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Irene M. J. Mathijssen
- Department of Plastic and Reconstructive Surgery and Hand Surgery, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
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182
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Du J, Zhu H, Yu L, Lu P, Qiu Y, Zhou Y, Cao W, Lu D, Zhao W, Yang J, Sun J, Xu Q. Multi-Dimensional Diffusion Tensor Imaging Biomarkers for Cognitive Decline From the Preclinical Stage: A Study of Post-stroke Small Vessel Disease. Front Neurol 2021; 12:687959. [PMID: 34322083 PMCID: PMC8311001 DOI: 10.3389/fneur.2021.687959] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: We aim to investigate whether multi-dimensional diffusion tensor imaging (DTI) measures can sensitively identify different cognitive status of cerebral small vessel disease (CSVD) and to explore the underlying pattern of white matter disruption in CSVD. Methods: Two hundred and two participants were recruited, composed of 99 CSVD patients with mild cognitive impairment (VaMCI) and 60 with no cognitive impairment (NCI) and 43 healthy subjects as normal controls (NC). Full domain neuropsychological tests and diffusion-weighted imaging were performed on each subject. DTI metrics such as fractional anisotropy (FA), mean diffusivity (MD), the skeletonized mean diffusivity (PSMD), and structural brain network measures including network strength, global efficiency (EGlobal), and local efficiency (ELocal) were calculated. Region of interest (ROI) analysis of 42 white matter tracts was performed to examine the regional anatomical white matter disruption for each group. Results: Significant differences of multiple cognitive test scores across all cognitive domains especially processing and executive function existed among the three groups. DTI measures (FA, MD, and PSMD) showed significant group difference with the cognitive status changing. FA and EGlobal showed significant correlation with processing speed, executive function, and memory. ROI analysis found that white matter integrity impairment occurred from the preclinical stage of vascular cognitive impairment (VCI) due to CSVD. These lesions in the NCI group mainly involved some longitudinal fibers such as right superior longitudinal fasciculus (SLF-R), right superior fronto-occipital fasciculus (SFO-R), and right uncinate fasciculus (UNC-R), which might be more vulnerable to the cerebrovascular aging and disease process. Conclusions: DTI measures are sensitive neuroimaging markers in detecting the early cognitive impairment and able to differentiate the different cognitive status due to CSVD. Subtle changes of some vulnerable white matter tracts may be observed from the preclinical stage of VCI and have a local to general spreading pattern during the disease progression.
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Affiliation(s)
- Jing Du
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Health Management Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Hong Zhu
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Yu
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Peiwen Lu
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Health Management Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Yage Qiu
- Department of Radiology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhou
- Department of Radiology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Wenwei Cao
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Dong Lu
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhao
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Jie Yang
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Qun Xu
- Renji-UNSW CHeBA (Centre for Healthy Brain Ageing of University of New South Wales) Neurocognitive Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Neurology, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.,Department of Health Management Center, Renji Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China
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183
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Jeong J, Banerjee S, Lee M, O'Hara N, Behen M, Juhász C, Dong M. Deep reasoning neural network analysis to predict language deficits from psychometry-driven DWI connectome of young children with persistent language concerns. Hum Brain Mapp 2021; 42:3326-3338. [PMID: 33949048 PMCID: PMC8193535 DOI: 10.1002/hbm.25437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/06/2021] [Accepted: 03/26/2021] [Indexed: 12/17/2022] Open
Abstract
This study investigated whether current state-of-the-art deep reasoning network analysis on psychometry-driven diffusion tractography connectome can accurately predict expressive and receptive language scores in a cohort of young children with persistent language concerns (n = 31, age: 4.25 ± 2.38 years). A dilated convolutional neural network combined with a relational network (dilated CNN + RN) was trained to reason the nonlinear relationship between "dilated CNN features of language network" and "clinically acquired language score". Three-fold cross-validation was then used to compare the Pearson correlation and mean absolute error (MAE) between dilated CNN + RN-predicted and actual language scores. The dilated CNN + RN outperformed other methods providing the most significant correlation between predicted and actual scores (i.e., Pearson's R/p-value: 1.00/<.001 and .99/<.001 for expressive and receptive language scores, respectively) and yielding MAE: 0.28 and 0.28 for the same scores. The strength of the relationship suggests elevated probability in the prediction of both expressive and receptive language scores (i.e., 1.00 and 1.00, respectively). Specifically, sparse connectivity not only within the right precentral gyrus but also involving the right caudate had the strongest relationship between deficit in both the expressive and receptive language domains. Subsequent subgroup analyses inferred that the effectiveness of the dilated CNN + RN-based prediction of language score(s) was independent of time interval (between MRI and language assessment) and age of MRI, suggesting that the dilated CNN + RN using psychometry-driven diffusion tractography connectome may be useful for prediction of the presence of language disorder, and possibly provide a better understanding of the neurological mechanisms of language deficits in young children.
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Affiliation(s)
- Jeong‐Won Jeong
- Departments of PediatricsWayne State UniversityDetroitMichiganUSA
- NeurologyWayne State UniversityDetroitMichiganUSA
- Translational Neuroscience ProgramWayne State UniversityDetroitMichiganUSA
- Translational Imaging LaboratoryChildren's Hospital of MichiganDetroitMichiganUSA
| | | | - Min‐Hee Lee
- Departments of PediatricsWayne State UniversityDetroitMichiganUSA
- Translational Imaging LaboratoryChildren's Hospital of MichiganDetroitMichiganUSA
| | - Nolan O'Hara
- Translational Neuroscience ProgramWayne State UniversityDetroitMichiganUSA
- Translational Imaging LaboratoryChildren's Hospital of MichiganDetroitMichiganUSA
| | - Michael Behen
- Departments of PediatricsWayne State UniversityDetroitMichiganUSA
- NeurologyWayne State UniversityDetroitMichiganUSA
- Translational Imaging LaboratoryChildren's Hospital of MichiganDetroitMichiganUSA
| | - Csaba Juhász
- Departments of PediatricsWayne State UniversityDetroitMichiganUSA
- NeurologyWayne State UniversityDetroitMichiganUSA
- Translational Neuroscience ProgramWayne State UniversityDetroitMichiganUSA
- Translational Imaging LaboratoryChildren's Hospital of MichiganDetroitMichiganUSA
| | - Ming Dong
- Computer ScienceWayne State UniversityDetroitMichiganUSA
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184
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Paules C, Miranda J, Policiano C, Crovetto F, Youssef L, Hahner N, Nakaki A, Crispi F, Gratacós E, Eixarch E. Fetal neurosonography detects differences in cortical development and corpus callosum in late-onset small fetuses. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:42-47. [PMID: 33438307 DOI: 10.1002/uog.23592] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/17/2020] [Accepted: 12/24/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To explore whether neurosonography can detect differences in cortical development and corpus callosal length in late-onset small fetuses subclassified into small-for-gestational age (SGA) or growth restricted (FGR). METHODS This was a prospective cohort study in singleton pregnancies, including normally grown fetuses (birth weight between the 10th and 90th centiles) and late-onset small fetuses (estimated fetal weight < 10th centile, diagnosed after 32 weeks of gestation and confirmed by birth weight < 10th centile). Small fetuses were subclassified into SGA (birth weight between the 3rd and 9th centiles and normal fetoplacental Doppler) and FGR (birth weight < 3rd centile and/or abnormal cerebroplacental ratio and/or abnormal uterine artery Doppler). Neurosonography was performed at 33 ± 1 weeks of gestation to assess the depth of the insula, Sylvian fissure and parieto-occipital sulcus in the axial views and corpus callosal length in the midsagittal plane. Measurements were performed offline using Alma Workstation software and were adjusted by biparietal diameter or cephalic index. Linear regression analysis was used to assess the association between the neurosonographic variables and study group, adjusting for confounding factors such as gender, gestational age at neurosonography, nulliparity and pre-eclampsia. RESULTS In total, 318 fetuses were included, of which 97 were normally grown and 221 were late-onset small fetuses that were further subdivided into late-onset SGA (n = 67) or late-onset FGR (n = 154). Compared to controls, both SGA and FGR cases showed significantly increased insular depth adjusted for biparietal diameter (median (interquartile range), controls 0.329 (0.312-0.342) vs SGA 0.339 (0.321-0.347) vs FGR 0.336 (0.325-0.349); P = 0.006). A linear tendency to reduced Sylvian fissure depth adjusted for biparietal diameter was also observed across the study groups (mean ± SD, controls 0.148 ± 0.021 vs SGA 0.142 ± 0.025 vs FGR 0.139 ± 0.022; P = 0.003). However, differences were significant only between the FGR and control groups. Corpus callosal length adjusted for cephalic index was significantly reduced in FGR cases compared with both controls and SGA cases, while there was no difference between SGA cases and controls (median (interquartile range), controls 0.500 (0.478-0.531) vs SGA 0.502 (0.487-0.526) vs FGR 0.475 (0.447-0.508); P = 0.005). No differences were found in parieto-occipital sulcus depth between the three study groups. CONCLUSION Neurosonography seems to be a sensitive tool to detect subtle structural differences in brain development in late-onset small fetuses. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- C Paules
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Instituto de Investigación Sanitaria Aragón (IISAragon), Red de Salud Materno Infantil y del Desarrollo (SAMID), RETICS, Instituto de Salud Carlos III (ISCIII), Subdirección General de Evaluación y Fomento de la Investigación y Fondo Europeo de Desarrollo Regional (FEDER), Zaragoza, Spain
| | - J Miranda
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
| | - C Policiano
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Departamento de Obstetrícia, Ginecologia e Medicina da Reproduçao, Hospital Universitário de Santa Maria, Centro Hospitalar Lisboa Norte, Lisbon, Portugal
| | - F Crovetto
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - L Youssef
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - N Hahner
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - A Nakaki
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - F Crispi
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
| | - E Gratacós
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
| | - E Eixarch
- BCNatal - Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
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185
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Nolvi S, Tuulari JJ, Lavonius T, Scheinin NM, Lehtola SJ, Lavonius M, Merisaari H, Saunavaara J, Korja R, Kataja EL, Pelto J, Parkkola R, Karlsson L, Karlsson H. Newborn white matter microstructure moderates the association between maternal postpartum depressive symptoms and infant negative reactivity. Soc Cogn Affect Neurosci 2021; 15:649-660. [PMID: 32577747 PMCID: PMC7393309 DOI: 10.1093/scan/nsaa081] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/29/2020] [Accepted: 06/08/2020] [Indexed: 12/20/2022] Open
Abstract
Maternal postpartum depression is a prominent risk factor for aberrant child socioemotional development, but there is little understanding about the neural phenotypes that underlie infant sensitivity to maternal depression. We examined whether newborn white matter fractional anisotropy (FA), a measure of white matter maturity, moderates the association between maternal postpartum depressive symptoms and infant negative reactivity at 6 months. Participants were 80 mother–infant dyads participating in a prospective population-based cohort, and included families whose newborns underwent a magnetic resonance/diffusion tensor imaging scan at 2–5 weeks of age and whose mothers reported their own depressive symptoms at 3 and 6 months postpartum and infant negative emotional reactivity at 6 months. The whole-brain FA moderated the association between maternal depressive symptoms and mother-reported infant negative reactivity at 6 months after adjusting for the covariates. Maternal depressive symptoms were positively related to infant negative reactivity among infants with high or average FA in the whole brain and in corpus callosum and cingulum, but not among those with low FA. The link between maternal depressive symptoms and infant negative reactivity was moderated by newborn FA. The variation in white matter microstructure might play a role in child susceptibility to parental distress.
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Affiliation(s)
- Saara Nolvi
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Medical Psychology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland.,Turku Institute for Advanced Studies, University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland.,Department of Psychiatry, University of Oxford, Oxford, UK
| | - Tuomas Lavonius
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Satu J Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Maria Lavonius
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Future Technologies, University of Turku, Turku, Finland.,Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Riikka Korja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland
| | - Eeva-Leena Kataja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland
| | - Juho Pelto
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Riitta Parkkola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Radiology, Turku University Hospital and University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Child Psychiatry, Turku University Hospital and University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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186
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Abstract
Recurrent loops in the visual cortex play a critical role in visual perception, which is likely not mediated by purely feed-forward pathways. However, the development of recurrent loops is poorly understood. The role of recurrent processing has been studied using visual backward masking, a perceptual phenomenon in which a visual stimulus is rendered invisible by a following mask, possibly because of the disruption of recurrent processing. Anatomical studies have reported that recurrent pathways are immature in early infancy. This raises the possibility that younger infants process visual information mainly in a feed-forward manner, and thus, they might be able to perceive visual stimuli that adults cannot see because of backward masking. Here, we show that infants under 7 mo of age are immune to visual backward masking and that masked stimuli remain visible to younger infants while older infants cannot perceive them. These results suggest that recurrent processing is immature in infants under 7 mo and that they are able to perceive objects even without recurrent processing. Our findings indicate that the algorithm for visual perception drastically changes in the second half of the first year of life.
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187
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Kennedy E, Poppe T, Tottman A, Harding J. Neurodevelopmental impairment is associated with altered white matter development in a cohort of school-aged children born very preterm. NEUROIMAGE-CLINICAL 2021; 31:102730. [PMID: 34174689 PMCID: PMC8246637 DOI: 10.1016/j.nicl.2021.102730] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 01/02/2023]
Abstract
Over 30% of children born VPT have neurodevelopmental impairment. VPT children with neurodevelopmental impairment have smaller total brain volume. VPT children with neurodevelopmental impairment have lower FA and higher RD. Neurodevelopmental impairment in a VPT cohort may reflect altered microstructure.
Individuals born very preterm (<32 weeks gestation) have altered brain growth and white matter maturation relative to their full-term peers, and approximately 30% will experience neurodevelopmental impairment. We investigated the relationship between neurodevelopmental impairment and MRI measures of white matter microstructure and brain volume. Children born before 30 weeks’ gestation or who had very low birthweight (< 1500 g) underwent neurodevelopmental assessment and MRI at age 7 years as part of the PIANO study, a New Zealand-based cohort study. Fractional anisotropy (FA) and diffusivity measures were derived from diffusion tensor imaging to index white matter microstructure. Volumes were derived from T1-weighted imaging. Neurodevelopmental impairment was defined as a score < 85 on the Wechsler Intelligence Scale for Children, <5th centile on the Movement Assessment Battery for Children or a diagnosis of cerebral palsy by a paediatrician. Relationships between MRI and neurodevelopmental impairment were assessed with general linear models adjusted for sex, gestational age at birth, birthweight z-score, age at assessment, New Zealand Deprivation index score and multiplicity. Children with neurodevelopmental impairment (n = 38) had smaller total brain, cortical grey matter and cerebral white matter volumes compared to children without neurodevelopmental impairment (n = 62) (p < 0.05, false discovery rate corrected), but the regional volume differences did not remain significant after adjustment for total brain volume. Lower FA and higher radial diffusivity were observed in the superior longitudinal fasciculi, uncinate fasciculi and right hemisphere corticospinal tract in children with neurodevelopmental impairment. This may reflect differences in cellular properties such as myelination or axonal packing. Neurodevelopmental impairment may reflect smaller overall brain volume and altered microstructure in white matter tracts that are important for language, cognitive and motor functioning.
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Affiliation(s)
- Eleanor Kennedy
- Liggins Institute, University of Auckland, Auckland, New Zealand.
| | - Tanya Poppe
- Liggins Institute, University of Auckland, Auckland, New Zealand; Centre for the Developing Brain, Department of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Anna Tottman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Jane Harding
- Liggins Institute, University of Auckland, Auckland, New Zealand.
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188
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Dean DC, Madrid A, Planalp EM, Moody JF, Papale LA, Knobel KM, Wood EK, McAdams RM, Coe CL, Hill Goldsmith H, Davidson RJ, Alisch RS, Kling PJ. Cord blood DNA methylation modifications in infants are associated with white matter microstructure in the context of prenatal maternal depression and anxiety. Sci Rep 2021; 11:12181. [PMID: 34108589 PMCID: PMC8190282 DOI: 10.1038/s41598-021-91642-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Maternal and environmental factors influence brain networks and architecture via both physiological pathways and epigenetic modifications. In particular, prenatal maternal depression and anxiety symptoms appear to impact infant white matter (WM) microstructure, leading us to investigate whether epigenetic modifications (i.e., DNA methylation) contribute to these WM differences. To determine if infants of women with depression and anxiety symptoms exhibit epigenetic modifications linked to neurodevelopmental changes, 52 umbilical cord bloods (CBs) were profiled. We observed 219 differentially methylated genomic positions (DMPs; FDR p < 0.05) in CB that were associated with magnetic resonance imaging measures of WM microstructure at 1 month of age and in regions previously described to be related to maternal depression and anxiety symptoms. Genomic characterization of these associated DMPs revealed 143 unique genes with significant relationships to processes involved in neurodevelopment, GTPase activity, or the canonical Wnt signaling pathway. Separate regression models for female (n = 24) and male (n = 28) infants found 142 associated DMPs in females and 116 associated DMPs in males (nominal p value < 0.001, R > 0.5), which were annotated to 98 and 81 genes, respectively. Together, these findings suggest that umbilical CB DNA methylation levels at birth are associated with 1-month WM microstructure.
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Affiliation(s)
- Douglas C Dean
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA.,Department of Medical Physics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Andy Madrid
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth M Planalp
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Jason F Moody
- Department of Medical Physics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ligia A Papale
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Karla M Knobel
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth K Wood
- Harlow Center for Biological Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan M McAdams
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA
| | - Christopher L Coe
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Harlow Center for Biological Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - H Hill Goldsmith
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Richard J Davidson
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Center for Healthy Minds, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychiatry, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Reid S Alisch
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Pamela J Kling
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA
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189
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Fouladivanda M, Kazemi K, Makki M, Khalilian M, Danyali H, Gervain J, Aarabi A. Multi-scale structural rich-club organization of the brain in full-term newborns: a combined DWI and fMRI study. J Neural Eng 2021; 18. [PMID: 33930878 DOI: 10.1088/1741-2552/abfd46] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/30/2021] [Indexed: 12/11/2022]
Abstract
Objective.Our understanding of early brain development is limited due to rapid changes in white matter pathways after birth. In this study, we introduced a multi-scale cross-modal approach to investigate the rich club (RC) organization and topology of the structural brain networks in 40 healthy neonates using diffusion-weighted imaging and resting-state fMRI data.Approach.A group independent component analysis was first performed to identify eight resting state networks (RSNs) used as functional modules. A groupwise whole-brain functional parcellation was also performed at five scales comprising 100-900 parcels. The distribution of RC nodes was then investigated within and between the RSNs. We further assessed the distribution of short and long-range RC, feeder and local connections across different parcellation scales.Main results.Sharing the scale-free characteristic of small-worldness, the neonatal structural brain networks exhibited an RC organization at different nodal scales (NSs). The subcortical, sensory-motor and default mode networks were found to be strongly involved in the RC organization of the structural brain networks, especially in the zones where the RSNs overlapped, with an average cross-scale proportion of 45.9%, 28.5% and 10.5%, respectively. A large proportion of the connector hubs were found to be RC members for the coarsest (73%) to finest (92%) NSs. Our results revealed a prominent involvement of cortico-subcortical and cortico-cerebellar white matter pathways in the RC organization of the neonatal brain. Regardless of the NS, the majority (more than 65.2%) of the inter-RSN connections were long distance RC or feeder with an average physical connection of 105.5 and 97.4 mm, respectively. Several key RC regions were identified, including the insula and cingulate gyri, middle and superior temporal gyri, hippocampus and parahippocampus, fusiform gyrus, precuneus, superior frontal and precentral gyri, calcarine fissure and lingual gyrus.Significance.Our results emphasize the importance of the multi-scale connectivity analysis in assessing the cross-scale reproducibility of the connectivity results concerning the global and local topological properties of the brain networks. Our findings may improve our understanding of the early brain development.
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Affiliation(s)
- Mahshid Fouladivanda
- Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
| | - Kamran Kazemi
- Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
| | - Malek Makki
- Laboratory of Functional Neuroscience and Pathologies (LNFP), University Research Center (CURS), University Hospital, Amiens, France
| | - Maedeh Khalilian
- Laboratory of Functional Neuroscience and Pathologies (LNFP), University Research Center (CURS), University Hospital, Amiens, France
| | - Habibollah Danyali
- Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
| | - Judit Gervain
- Integrative Neuroscience and Cognition Center, CNRS & Université de Paris, Paris, France.,Department of Developmental Psychology and Socialization, University of Padua, Padua, Italy
| | - Ardalan Aarabi
- Laboratory of Functional Neuroscience and Pathologies (LNFP), University Research Center (CURS), University Hospital, Amiens, France.,Faculty of Medicine, University of Picardy Jules Verne, Amiens, France
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190
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Baxter L, Moultrie F, Fitzgibbon S, Aspbury M, Mansfield R, Bastiani M, Rogers R, Jbabdi S, Duff E, Slater R. Functional and diffusion MRI reveal the neurophysiological basis of neonates' noxious-stimulus evoked brain activity. Nat Commun 2021; 12:2744. [PMID: 33980860 PMCID: PMC8115252 DOI: 10.1038/s41467-021-22960-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 04/05/2021] [Indexed: 11/20/2022] Open
Abstract
Understanding the neurophysiology underlying neonatal responses to noxious stimulation is central to improving early life pain management. In this neonatal multimodal MRI study, we use resting-state and diffusion MRI to investigate inter-individual variability in noxious-stimulus evoked brain activity. We observe that cerebral haemodynamic responses to experimental noxious stimulation can be predicted from separately acquired resting-state brain activity (n = 18). Applying this prediction model to independent Developing Human Connectome Project data (n = 215), we identify negative associations between predicted noxious-stimulus evoked responses and white matter mean diffusivity. These associations are subsequently confirmed in the original noxious stimulation paradigm dataset, validating the prediction model. Here, we observe that noxious-stimulus evoked brain activity in healthy neonates is coupled to resting-state activity and white matter microstructure, that neural features can be used to predict responses to noxious stimulation, and that the dHCP dataset could be utilised for future exploratory research of early life pain system neurophysiology.
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Affiliation(s)
- Luke Baxter
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Fiona Moultrie
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Sean Fitzgibbon
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | | | | | - Matteo Bastiani
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Richard Rogers
- Nuffield Department of Anaesthetics, John Radcliffe Hospital, Oxford, UK
| | - Saad Jbabdi
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Eugene Duff
- Department of Paediatrics, University of Oxford, Oxford, UK
- FMRIB, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Rebeccah Slater
- Department of Paediatrics, University of Oxford, Oxford, UK.
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191
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Development of human white matter pathways in utero over the second and third trimester. Proc Natl Acad Sci U S A 2021; 118:2023598118. [PMID: 33972435 PMCID: PMC8157930 DOI: 10.1073/pnas.2023598118] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
During the second and third trimesters of human gestation, rapid neurodevelopment is underpinned by fundamental processes including neuronal migration, cellular organization, cortical layering, and myelination. In this time, white matter growth and maturation lay the foundation for an efficient network of structural connections. Detailed knowledge about this developmental trajectory in the healthy human fetal brain is limited, in part, due to the inherent challenges of acquiring high-quality MRI data from this population. Here, we use state-of-the-art high-resolution multishell motion-corrected diffusion-weighted MRI (dMRI), collected as part of the developing Human Connectome Project (dHCP), to characterize the in utero maturation of white matter microstructure in 113 fetuses aged 22 to 37 wk gestation. We define five major white matter bundles and characterize their microstructural features using both traditional diffusion tensor and multishell multitissue models. We found unique maturational trends in thalamocortical fibers compared with association tracts and identified different maturational trends within specific sections of the corpus callosum. While linear maturational increases in fractional anisotropy were seen in the splenium of the corpus callosum, complex nonlinear trends were seen in the majority of other white matter tracts, with an initial decrease in fractional anisotropy in early gestation followed by a later increase. The latter is of particular interest as it differs markedly from the trends previously described in ex utero preterm infants, suggesting that this normative fetal data can provide significant insights into the abnormalities in connectivity which underlie the neurodevelopmental impairments associated with preterm birth.
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192
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Campbell KSJ, Williams LJ, Bjornson BH, Weik E, Brain U, Grunau RE, Miller SP, Oberlander TF. Prenatal antidepressant exposure and sex differences in neonatal corpus callosum microstructure. Dev Psychobiol 2021; 63:e22125. [PMID: 33942888 DOI: 10.1002/dev.22125] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/09/2022]
Abstract
Prenatal exposure to selective serotonin reuptake inhibitor (SSRI) antidepressants may influence white matter (WM) development, as previous studies report widespread microstructural alterations and reduced interhemispheric connectivity in SSRI-exposed infants. In rodents, perinatal SSRIs had sex-specific disruptions in corpus callosum (CC) axon architecture and connectivity; yet it is unknown whether SSRI-related brain outcomes in humans are sex specific. In this study, the neonate CC was selected as a region-of-interest to investigate whether prenatal SSRI exposure has sex-specific effects on early WM microstructure. On postnatal day 7, diffusion tensor imaging was used to assess WM microstructure in SSRI-exposed (n = 24; 12 male) and nonexposed (n = 48; 28 male) term-born neonates. Fractional anisotropy was extracted from CC voxels and a multivariate discriminant analysis was used to identify latent patterns differing between neonates grouped by SSRI-exposure and sex. Analysis revealed localized variations in CC fractional anisotropy that significantly discriminated neonate groups and correctly predicted group membership with an 82% accuracy. Such effects were identified across three dimensions, representing sex differences in SSRI-exposed neonates (genu, splenium), SSRI-related effects independent of sex (genu-to-rostral body), and sex differences in nonexposed neonates (isthmus-splenium, posterior midbody). Our findings suggest that CC microstructure may have a sex-specific, localized, developmental sensitivity to prenatal SSRI exposure.
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Affiliation(s)
- Kayleigh S J Campbell
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada
| | | | - Bruce H Bjornson
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Ella Weik
- BC Children's Hospital Research Institute, Vancouver, Canada
| | - Ursula Brain
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Ruth E Grunau
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Steven P Miller
- Department of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Tim F Oberlander
- BC Children's Hospital Research Institute, Vancouver, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, Canada
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193
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Dubois J, Alison M, Counsell SJ, Hertz‐Pannier L, Hüppi PS, Benders MJ. MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances. J Magn Reson Imaging 2021; 53:1318-1343. [PMID: 32420684 PMCID: PMC8247362 DOI: 10.1002/jmri.27192] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/24/2020] [Accepted: 04/24/2020] [Indexed: 01/04/2023] Open
Abstract
In recent years, exploration of the developing brain has become a major focus for researchers and clinicians in an attempt to understand what allows children to acquire amazing and unique abilities, as well as the impact of early disruptions (eg, prematurity, neonatal insults) that can lead to a wide range of neurodevelopmental disorders. Noninvasive neuroimaging methods such as MRI are essential to establish links between the brain and behavioral changes in newborns and infants. In this review article, we aim to highlight recent and representative studies using the various techniques available: anatomical MRI, quantitative MRI (relaxometry, diffusion MRI), multiparametric approaches, and functional MRI. Today, protocols use 1.5 or 3T MRI scanners, and specialized methodologies have been put in place for data acquisition and processing to address the methodological challenges specific to this population, such as sensitivity to motion. MR sequences must be adapted to the brains of newborns and infants to obtain relevant good soft-tissue contrast, given the small size of the cerebral structures and the incomplete maturation of tissues. The use of age-specific image postprocessing tools is also essential, as signal and contrast differ from the adult brain. Appropriate methodologies then make it possible to explore multiple neurodevelopmental mechanisms in a precise way, and assess changes with age or differences between groups of subjects, particularly through large-scale projects. Although MRI measurements only indirectly reflect the complex series of dynamic processes observed throughout development at the molecular and cellular levels, this technique can provide information on brain morphology, structural connectivity, microstructural properties of gray and white matter, and on the functional architecture. Finally, MRI measures related to clinical, behavioral, and electrophysiological markers have a key role to play from a diagnostic and prognostic perspective in the implementation of early interventions to avoid long-term disabilities in children. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Jessica Dubois
- University of ParisNeuroDiderot, INSERM,ParisFrance
- UNIACT, NeuroSpin, CEA; Paris‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Marianne Alison
- University of ParisNeuroDiderot, INSERM,ParisFrance
- Department of Pediatric RadiologyAPHP, Robert‐Debré HospitalParisFrance
| | - Serena J. Counsell
- Centre for the Developing BrainSchool of Biomedical Engineering & Imaging Sciences, King's College LondonLondonUK
| | - Lucie Hertz‐Pannier
- University of ParisNeuroDiderot, INSERM,ParisFrance
- UNIACT, NeuroSpin, CEA; Paris‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Petra S. Hüppi
- Division of Development and Growth, Department of Woman, Child and AdolescentUniversity Hospitals of GenevaGenevaSwitzerland
| | - Manon J.N.L. Benders
- Department of NeonatologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtthe Netherlands
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194
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Zuzarte I, Paydarfar D, Sternad D. Effect of spontaneous movement on respiration in preterm infants. Exp Physiol 2021; 106:1285-1302. [PMID: 33675125 PMCID: PMC8087648 DOI: 10.1113/ep089143] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 03/03/2021] [Indexed: 11/08/2022]
Abstract
NEW FINDINGS What is the central question of this study? The respiratory centres in the brainstem that control respiration receive inputs from various sources, including proprioceptors in muscles and joints and suprapontine centres, which all affect limb movements. What is the effect of spontaneous movement on respiration in preterm infants? What is the main finding and its importance? Apnoeic events tend to be preceded by movements. These activity bursts can cause respiratory instability that leads to an apnoeic event. These findings show promise that infant movements might serve as potential predictors of life-threatening apnoeic episodes, but more research is required. ABSTRACT A common condition in preterm infants (<37 weeks' gestational age) is apnoea resulting from immaturity and instability of the respiratory system. As apnoeas are implicated in several acute and long-term complications, prediction of apnoeas may preempt their onset and subsequent complications. This study tests the hypothesis that infant movements are a predictive marker for apnoeic episodes and examines the relation between movement and respiration. Movement was detected using a wavelet algorithm applied to the photoplethysmographic signal. Respiratory activity was measured in nine infants using respiratory inductance plethysmography; in an additional eight infants, respiration and partial pressure of airway carbon dioxide ( P C O 2 ) were measured by a nasal cannula with side-stream capnometry. In the first cohort, the distribution of movements before and after the onset of 370 apnoeic events was compared. Results showed that apnoeic events were associated with longer movement duration occurring before apnoea onsets compared to after. In the second cohort, respiration was analysed in relation to movement, comparing standard deviation of inter-breath intervals (IBI) before and after apnoeas. Poincaré maps of the respiratory activity quantified variability of airway P C O 2 in phase space. Movement significantly increased the variability of IBI and P C O 2 . Moreover, destabilization of respiration was dependent on the duration of movement. These findings support that bodily movements of the infants precede respiratory instability. Further research is warranted to explore the predictive value of movement for life-threatening events, useful for clinical management and risk stratification.
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Affiliation(s)
- Ian Zuzarte
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - David Paydarfar
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Oden Institute for Computational Sciences and Engineering, University of Texas at Austin, Austin, TX, USA
| | - Dagmar Sternad
- Departments of Biology, Electrical and Computer Engineering & Physics, Northeastern University, Boston, MA, USA
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195
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Olivieri B, Rampakakis E, Gilbert G, Fezoua A, Wintermark P. Myelination may be impaired in neonates following birth asphyxia. NEUROIMAGE-CLINICAL 2021; 31:102678. [PMID: 34082365 PMCID: PMC8182124 DOI: 10.1016/j.nicl.2021.102678] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 03/17/2021] [Accepted: 04/12/2021] [Indexed: 01/23/2023]
Abstract
Myelination is a developmental process that intensifies after birth during the first years of life. We used a T2* mapping sequence to assess myelination in healthy and critically ill neonates with neonatal encephalopathy. Birth asphyxia, in addition to causing the previously well-described direct injury to the brain, may impair myelination.
Background Myelination is a developmental process that begins during the end of gestation, intensifies after birth over the first years of life, and continues well into adolescence. Any event leading to brain injury around the time of birth and during the perinatal period, such as birth asphyxia, may impair this critical process. Currently, the impact of such brain injury related to birth asphyxia on the myelination process is unknown. Objective To assess the myelination pattern over the first month of life in neonates with neonatal encephalopathy (NE) developing brain injury, compared to neonates without injury (i.e., healthy neonates and neonates with NE who do not develop brain injury). Methods Brain magnetic resonance imaging (MRI) was performed around day of life 2, 10, and 30 in healthy neonates and near-term/term neonates with NE who were treated with hypothermia. We evaluated myelination in various regions of interest using a T2* mapping sequence. In each region of interest, we compared the T2* values of the neonates with NE with brain injury to the values of the neonates without injury, according to the MRI timing, by using a repeated measures generalized linear mixed model. Results We obtained 74 MRI scans over the first month of life for 6 healthy neonates, 17 neonates with NE who were treated with hypothermia and did not develop brain injury, and 16 neonates with NE who were treated with hypothermia and developed brain injury. The T2* values significantly increased in the neonates with NE who developed injury in the posterior limbs of the internal capsule (day 2: p < 0.001; day 10: p < 0.001; and day 30: p < 0.001), the thalami (day 2: p = 0.001; day 10: p = 0.006; and day 30: p = 0.016), the lentiform nuclei (day 2: p = 0.005), the anterior white matter (day 2: p = 0.002; day 10: p = 0.006; and day 30: p = 0.002), the posterior white matter (day 2: p = 0.001; day 10: p = 0.008; and day 30: p = 0.03), the genu of the corpus callosum (day 2: p = 0.01; and day 10: p = 0.006), and the optic radiations (day 30: p < 0.001). Conclusion In the neonates with NE who were treated with hypothermia and developed brain injury, birth asphyxia impaired myelination in the regions that are myelinated at birth or soon after birth (the posterior limbs of internal capsule, the thalami, and the lentiform nuclei), in the regions where the myelination process begins only after the perinatal period (optic radiations), and in the regions where this process does not occur until months after birth (anterior/posterior white matter), which suggests that birth asphyxia, in addition to causing the previously well-described direct injury to the brain, may impair myelination.
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Affiliation(s)
- Bianca Olivieri
- Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Emmanouil Rampakakis
- Medical Affairs, JSS Medical Research, Montreal, Québec, Canada; Department of Pediatrics, Montreal Children's Hospital, McGill University, Montreal, QC, Canada
| | | | - Aliona Fezoua
- Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Pia Wintermark
- Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada; Department of Pediatrics, Division of Newborn Medicine, Montreal Children's Hospital, McGill University, Montreal, QC, Canada.
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196
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Salimeen MSA, Liu C, Li X, Wang M, Singh M, Si S, Li M, Cheng Y, Wang X, Zhao H, Wu F, Zhang Y, Tafawa H, Pradhan A, Yang G, Yang J. Exploring Variances of White Matter Integrity and the Glymphatic System in Simple Febrile Seizures and Epilepsy. Front Neurol 2021; 12:595647. [PMID: 33967932 PMCID: PMC8097149 DOI: 10.3389/fneur.2021.595647] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 03/15/2021] [Indexed: 12/19/2022] Open
Abstract
Background: Simple febrile seizures (SFS) and epilepsy are common seizures in childhood. However, the mechanism underlying SFS is uncertain, and the presence of obvious variances in white matter (WM) integrity and glymphatic function between SFS and epilepsy remain unclear. Therefore, this study aimed to investigate the differences in WM integrity and glymphatic function between SFS and epilepsy. Material and Methods: We retrospectively included 26 children with SFS, 33 children with epilepsy, and 28 controls aged 6–60 months who underwent magnetic resonance imaging (MRI). Tract-based spatial statistics (TBSS) were used to compare the diffusion tensor imaging (DTI) metrics of WM among the above-mentioned groups. T2-weighted imaging (T2WI) was used to segment the visible Virchow-Robin space (VRS) through a custom-designed automated method. VRS counts and volume were quantified and compared among the SFS, epilepsy, and control groups. Correlations of the VRS metrics and seizure duration and VRS metrics and the time interval between seizure onset and MRI scan were also investigated. Results: In comparison with controls, children with SFS showed no significant changes in fractional anisotropy (FA), axial diffusivity (AD), or radial diffusivity (RD) in the WM (P > 0.05). Decreased FA, unchanged AD, and increased RD were observed in the epilepsy group in comparison with the SFS and control groups (P < 0.05). Meanwhile, VRS counts were higher in the SFS and epilepsy groups than in the control group (VRS_SFS, 442.42 ± 74.58, VRS_epilepsy, 629.94 ± 106.55, VRS_control, 354.14 ± 106.58; P < 0.001), and similar results were found for VRS volume (VRS_SFS, 6,228.18 ± 570.74 mm3, VRS_epilepsy, 9,684.84 ± 7,292.66mm3, VRS_control, 4,007.22 ± 118.86 mm3; P < 0.001). However, VRS metrics were lower in the SFS group than in the epilepsy group (P < 0.001). In both SFS and epilepsy, VRS metrics positively correlated with seizure duration and negatively correlated with the course after seizure onset. Conclusion: SFS may not be associated with WM microstructural disruption; however, epilepsy is related to WM alterations. Seizures are associated with glymphatic dysfunction in either SFS or epilepsy.
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Affiliation(s)
- Mustafa Salimeen Abdelkareem Salimeen
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Radiology, Dongola Teaching Hospital, University of Dongola, Dongola, Sudan
| | - Congcong Liu
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xianjun Li
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Miaomiao Wang
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Martha Singh
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shuqing Si
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Mengxuan Li
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yannan Cheng
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyu Wang
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huifang Zhao
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Fan Wu
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yuli Zhang
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Habib Tafawa
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Anuja Pradhan
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Guanyu Yang
- School of Electronic Engineering, Xidian University, Xi'an, China
| | - Jian Yang
- Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Center for Brain Science, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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197
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Kar P, Reynolds JE, Grohs MN, Bell RC, Jarman M, Dewey D, Lebel C. Association between breastfeeding during infancy and white matter microstructure in early childhood. Neuroimage 2021; 236:118084. [PMID: 33882345 DOI: 10.1016/j.neuroimage.2021.118084] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/04/2021] [Accepted: 04/07/2021] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Associations between breastfeeding and brain development, in the context of child, perinatal, and sociodemographic variables, remain unclear. This study investigated whether exclusive breastfeeding for the first 6 months and total duration of breastfeeding were associated with brain white matter microstructure in young children. METHODS This study included 85 typically developing children (42 males) born to 83 mothers that were predominantly white, highly educated, and in high income households. Children underwent their first diffusion tensor imaging scan between ages 2.34 and 6.97 years; some children returned multiple times, providing a total of 331 datasets. Feeding information was collected from mothers at 3, 6, and 12 months postpartum and at their child's scan to calculate breastfeeding status at 6 months (exclusive or not) as well as total duration of any breastfeeding. Linear regression was used to investigate associations between breastfeeding exclusivity/duration and fractional anisotropy (FA) for the whole brain and 10 individual white matter tracts. RESULTS Breastfeeding exclusivity and duration were associated with global and regional white matter microstructure, even after controlling for perinatal and sociodemographic factors. Greater exclusivity was associated with higher FA in females and lower FA in males. CONCLUSIONS These findings suggest white matter differences associated with breastfeeding that differ by sex. These may stem from different trajectories in white matter development between males and females in early childhood and suggest possible long-term white matter differences associated with breastfeeding.
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Affiliation(s)
- Preeti Kar
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, University of Calgary, Canada.
| | - Jess E Reynolds
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Departments of Radiology, University of Calgary, Canada.
| | - Melody N Grohs
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, University of Calgary, Canada.
| | - Rhonda C Bell
- Department of Agricultural, Food & Nutritional Science, University of Alberta, Canada.
| | - Megan Jarman
- Department of Agricultural, Food & Nutritional Science, University of Alberta, Canada.
| | - Deborah Dewey
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Department of Pediatrics, University of Calgary, Canada; Department of Community Health Sciences, University of Calgary, Canada.
| | - Catherine Lebel
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Departments of Radiology, University of Calgary, Canada.
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198
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Delteil C, Mopin C, Tuchtan L, Carballeira Alvarez A, Piercecchi MD, Adalian P. Ontogeny of cranial base during the first two years of life. Morphologie 2021; 106:98-106. [PMID: 33840607 DOI: 10.1016/j.morpho.2021.03.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 03/19/2021] [Accepted: 03/19/2021] [Indexed: 10/21/2022]
Abstract
The integration of the growth of the brain and the cranial base suggests that each system may influence the other, notably during the first three years of life, although this influence has never been proven to be exclusive. The aim of our work was to analyse the dynamics of normal growth on the one hand, and the development and ontogenetic allometry of the cranial base in the infant on the other hand. MATERIAL AND METHOD A total of 32 infants (17 males/15 femeles) having been included in the unexpected infant death french protocol were analyzed. Three-dimensional reconstructions of the cranial base were performed from CT scans. The technique combined manual segmentation of regions of interest, contour extraction and surface reconstruction. Nineteen landmarks were positioned on each of the bone surfaces. RESULTS No correlation was observed between sex assigned at birth and shape, weight, crown-heel length, or head circumference. Principal component analysis showed that 85.5% of the variance observed on the first component was secondary to growth. After Procrustes superimposition, 25% of the shape variance observed was explained by the first principal component. It showed anteroposterior lengthening of the cranial base. In addition, the height, width and length of the posterior fossa increased and the relative position of the basion was displaced inferiorly and anteriorly with flexion of the sphenoid angle. Negative allometry was also observed. CONCLUSION Our study, carried out in a rigorously selected population of infants, presents a fundamental approach to ontogeny through study of shape, growth and ontogenetic allometry.
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Affiliation(s)
- C Delteil
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264, rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France.
| | - C Mopin
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - L Tuchtan
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264, rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - A Carballeira Alvarez
- Department of Radiology, Conception Hospital, Assistance Publique-Hôpitaux de Marseille, 147, Boulevard Baille, 13005 Marseille Cedex 05, France
| | - M-D Piercecchi
- Forensic Department, Assistance Publique-Hôpitaux de Marseille, La Timone, 264, rue St Pierre, 13385 Marseille Cedex 05, France; Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
| | - P Adalian
- Aix Marseille Univ, CNRS, EFS, ADES, Marseille, France
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199
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Darki F, Nyström P, McAlonan G, Bölte S, Falck-Ytter T. T1-Weighted/T2-Weighted Ratio Mapping at 5 Months Captures Individual Differences in Behavioral Development and Differentiates Infants at Familial Risk for Autism from Controls. Cereb Cortex 2021; 31:4068-4077. [PMID: 33825851 PMCID: PMC8328213 DOI: 10.1093/cercor/bhab069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 03/03/2021] [Accepted: 03/03/2021] [Indexed: 11/16/2022] Open
Abstract
Identifying structural measures that capture early brain development and are sensitive to individual differences in behavior is a priority in developmental neuroscience, with potential implications for our understanding of both typical and atypical populations. T1-weighted/T2-weighted (T1w/T2w) ratio mapping, which previously has been linked to myelination, represents an interesting candidate measure in this respect, as an accessible measure from standard magnetic resonance imaging (MRI) sequences. Yet, its value as an early infancy measure remains largely unexplored. Here, we compared T1w/T2w ratio in 5-month-old infants at familial risk (n = 27) for autism spectrum disorder (ASD) to those without elevated autism risk (n = 16). We found lower T1w/T2w ratio in infants at high risk for ASD within widely distributed regions, spanning both white and gray matter. In regions differing between groups, higher T1w/T2w ratio was robustly associated with higher age at scan (range: ~ 4–6.5 months), implying sensitivity to maturation at short developmental timescales. Further, higher T1w/T2w ratio within these regions was associated with higher scores on measures of concurrent developmental level. These findings suggest that T1w/T2w ratio is a developmentally sensitive measure that should be explored further in future studies of both typical and atypical infant populations.
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Affiliation(s)
- Fahimeh Darki
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, SE-11330 Stockholm, Sweden.,Department of Psychology, Uppsala University, SE 75142 Uppsala, Sweden
| | - Pär Nyström
- Department of Psychology, Uppsala University, SE 75142 Uppsala, Sweden
| | - Grainne McAlonan
- The Sackler Institute and Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, South London and Maudsley NHS Foundation Trust, WC2R 2LS UK
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, SE-11330 Stockholm, Sweden.,Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.,Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, WA 6102 Perth, Western Australia
| | - Terje Falck-Ytter
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, SE-11330 Stockholm, Sweden.,Department of Psychology, Uppsala University, SE 75142 Uppsala, Sweden.,The Swedish Collegium for Advanced Study (SCAS), SE-752 38 Uppsala, Sweden
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200
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Martinat M, Rossitto M, Di Miceli M, Layé S. Perinatal Dietary Polyunsaturated Fatty Acids in Brain Development, Role in Neurodevelopmental Disorders. Nutrients 2021; 13:1185. [PMID: 33918517 PMCID: PMC8065891 DOI: 10.3390/nu13041185] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/30/2021] [Accepted: 03/30/2021] [Indexed: 12/26/2022] Open
Abstract
n-3 and n-6 polyunsaturated fatty acids (PUFAs) are essential fatty acids that are provided by dietary intake. Growing evidence suggests that n-3 and n-6 PUFAs are paramount for brain functions. They constitute crucial elements of cellular membranes, especially in the brain. They are the precursors of several metabolites with different effects on inflammation and neuron outgrowth. Overall, long-chain PUFAs accumulate in the offspring brain during the embryonic and post-natal periods. In this review, we discuss how they accumulate in the developing brain, considering the maternal dietary supply, the polymorphisms of genes involved in their metabolism, and the differences linked to gender. We also report the mechanisms linking their bioavailability in the developing brain, their transfer from the mother to the embryo through the placenta, and their role in brain development. In addition, data on the potential role of altered bioavailability of long-chain n-3 PUFAs in the etiologies of neurodevelopmental diseases, such as autism, attention deficit and hyperactivity disorder, and schizophrenia, are reviewed.
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