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Wen X, Zhao Y, Chen G, Zhang H, Zhang D. Constructing fine-grained spatiotemporal neonatal functional atlases with spectral functional network learning. Hum Brain Mapp 2024; 45:e26718. [PMID: 38825985 PMCID: PMC11144955 DOI: 10.1002/hbm.26718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 04/22/2024] [Accepted: 05/06/2024] [Indexed: 06/04/2024] Open
Abstract
The early stages of human development are increasingly acknowledged as pivotal in laying the groundwork for subsequent behavioral and cognitive development. Spatiotemporal (4D) brain functional atlases are important in elucidating the development of human brain functions. However, the scarcity of such atlases for early life stages stems from two primary challenges: (1) the significant noise in functional magnetic resonance imaging (fMRI) that complicates the generation of high-quality atlases for each age group, and (2) the rapid and complex changes in the early human brain that hinder the maintenance of temporal consistency in 4D atlases. This study tackles these challenges by integrating low-rank tensor learning with spectral embedding, thereby proposing a novel, data-driven 4D functional atlas generation framework based on spectral functional network learning (SFNL). This method utilizes low-rank tensor learning to capture common functional connectivity (FC) patterns across different ages, thus optimizing FCs for each age group to improve the temporal consistency of functional networks. Incorporating spectral embedding aids in mitigating potential noise in FC networks derived from fMRI data by reconstructing networks in the spectral space. Utilizing SFNL-generated functional networks enables the creation of consistent and highly qualified spatiotemporal functional atlases. The framework was applied to the developing Human Connectome Project (dHCP) dataset, generating the first neonatal 4D functional atlases with fine-grained temporal and spatial resolutions. Experimental evaluations focusing on functional homogeneity, reliability, and temporal consistency demonstrated the superiority of our framework compared to existing methods for constructing 4D atlases. Additionally, network analysis experiments, including individual identification, functional systems development, and local efficiency assessments, further corroborate the efficacy and robustness of the generated atlases. The 4D atlases and related codes will be made publicly accessible (https://github.com/zhaoyunxi/neonate-atlases).
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Affiliation(s)
- Xuyun Wen
- College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
| | - Yunxi Zhao
- College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
| | - Geng Chen
- School of Computer ScienceNorthwestern Polytechnical UniversityShanxiChina
| | - Han Zhang
- School of Biomedical EngineeringShanghaiTech UniversityShanghaiChina
| | - Daoqiang Zhang
- College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
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2
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Xu Y, Liao X, Lei T, Cao M, Zhao J, Zhang J, Zhao T, Li Q, Jeon T, Ouyang M, Chalak L, Rollins N, Huang H, He Y. Development of neonatal connectome dynamics and its prediction for cognitive and language outcomes at age 2. Cereb Cortex 2024; 34:bhae204. [PMID: 38771241 DOI: 10.1093/cercor/bhae204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/23/2024] [Accepted: 05/01/2024] [Indexed: 05/22/2024] Open
Abstract
The functional brain connectome is highly dynamic over time. However, how brain connectome dynamics evolves during the third trimester of pregnancy and is associated with later cognitive growth remains unknown. Here, we use resting-state functional Magnetic Resonance Imaging (MRI) data from 39 newborns aged 32 to 42 postmenstrual weeks to investigate the maturation process of connectome dynamics and its role in predicting neurocognitive outcomes at 2 years of age. Neonatal brain dynamics is assessed using a multilayer network model. Network dynamics decreases globally but increases in both modularity and diversity with development. Regionally, module switching decreases with development primarily in the lateral precentral gyrus, medial temporal lobe, and subcortical areas, with a higher growth rate in primary regions than in association regions. Support vector regression reveals that neonatal connectome dynamics is predictive of individual cognitive and language abilities at 2 years of age. Our findings highlight network-level neural substrates underlying early cognitive development.
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Affiliation(s)
- Yuehua Xu
- School of Systems Science, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Xuhong Liao
- School of Systems Science, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Tianyuan Lei
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Miao Cao
- Institution of Science and Technology for Brain-Inspired Intelligence, Fudan University, No. 220 Handan Road, Shanghai 200433, China
| | - Jianlong Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Jiaying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Tengda Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Qiongling Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
| | - Tina Jeon
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States
| | - Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - Lina Chalak
- Department of Pediatrics, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, United States
| | - Nancy Rollins
- Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, United States
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104, United States
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China
- Chinese Institute for Brain Research, No. 26 Kexueyuan Road, Beijing 102206, China
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3
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Millevert C, Vidas-Guscic N, Vanherp L, Jonckers E, Verhoye M, Staelens S, Bertoglio D, Weckhuysen S. Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents. J Neurosci 2023; 43:8275-8293. [PMID: 38073598 PMCID: PMC10711730 DOI: 10.1523/jneurosci.1043-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 06/09/2023] [Accepted: 09/13/2023] [Indexed: 12/18/2023] Open
Abstract
Neurodevelopmental disorders (NDDs) are a group of complex neurologic and psychiatric disorders. Functional and molecular imaging techniques, such as resting-state functional magnetic resonance imaging (rs-fMRI) and positron emission tomography (PET), can be used to measure network activity noninvasively and longitudinally during maturation in both humans and rodent models. Here, we review the current knowledge on rs-fMRI and PET biomarkers in the study of normal and abnormal neurodevelopment, including intellectual disability (ID; with/without epilepsy), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD), in humans and rodent models from birth until adulthood, and evaluate the cross-species translational value of the imaging biomarkers. To date, only a few isolated studies have used rs-fMRI or PET to study (abnormal) neurodevelopment in rodents during infancy, the critical period of neurodevelopment. Further work to explore the feasibility of performing functional imaging studies in infant rodent models is essential, as rs-fMRI and PET imaging in transgenic rodent models of NDDs are powerful techniques for studying disease pathogenesis, developing noninvasive preclinical imaging biomarkers of neurodevelopmental dysfunction, and evaluating treatment-response in disease-specific models.
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Affiliation(s)
- Charissa Millevert
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Nicholas Vidas-Guscic
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Liesbeth Vanherp
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Elisabeth Jonckers
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Marleen Verhoye
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Daniele Bertoglio
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Sarah Weckhuysen
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
- Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, Antwerp 2610, Belgium
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4
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Marr MC, Graham AM, Feczko E, Nolvi S, Thomas E, Sturgeon D, Schifsky E, Rasmussen JM, Gilmore JH, Styner M, Entringer S, Wadhwa PD, Korja R, Karlsson H, Karlsson L, Buss C, Fair DA. Maternal Perinatal Stress Trajectories and Negative Affect and Amygdala Development in Offspring. Am J Psychiatry 2023; 180:766-777. [PMID: 37670606 DOI: 10.1176/appi.ajp.21111176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
OBJECTIVE Maternal psychological stress during pregnancy is a common risk factor for psychiatric disorders in offspring, but little is known about how heterogeneity of stress trajectories during pregnancy affect brain systems and behavioral phenotypes in infancy. This study was designed to address this gap in knowledge. METHODS Maternal anxiety, stress, and depression were assessed at multiple time points during pregnancy in two independent low-risk mother-infant cohorts (N=115 and N=2,156). Trajectories in maternal stress levels in relation to infant negative affect were examined in both cohorts. Neonatal amygdala resting-state functional connectivity MRI was examined in a subset of one cohort (N=60) to explore the potential relationship between maternal stress trajectories and brain systems in infants relevant to negative affect. RESULTS Four distinct trajectory clusters, characterized by changing patterns of stress over time, and two magnitude clusters, characterized by severity of stress, were identified in the original mother-infant cohort (N=115). The magnitude clusters were not associated with infant outcomes. The trajectory characterized by increasing stress in late pregnancy was associated with blunted development of infant negative affect. This relationship was replicated in the second, larger cohort (N=2,156). In addition, the trajectories that included increasing or peak maternal stress in late pregnancy were related to stronger neonatal amygdala functional connectivity to the anterior insula and the ventromedial prefrontal cortex in the exploratory analysis. CONCLUSIONS The trajectory of maternal stress appears to be important for offspring brain and behavioral development. Understanding heterogeneity in trajectories of maternal stress and their influence on infant brain and behavioral development is critical to developing targeted interventions.
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Affiliation(s)
- Mollie C Marr
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Alice M Graham
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Eric Feczko
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Saara Nolvi
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Elina Thomas
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Darrick Sturgeon
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Emma Schifsky
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Jerod M Rasmussen
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - John H Gilmore
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Martin Styner
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Sonja Entringer
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Pathik D Wadhwa
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Riikka Korja
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Hasse Karlsson
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Linnea Karlsson
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Claudia Buss
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
| | - Damien A Fair
- Department of Behavioral Neuroscience (Marr, Graham, Sturgeon, Schifsky, Fair) and Department of Psychiatry (Graham, Fair), Oregon Health and Science University School of Medicine, Portland; Department of Psychiatry, Massachusetts General Hospital, Boston (Marr); Department of Psychiatry, McLean Hospital, Belmont, Mass. (Marr); Masonic Institute for the Developing Brain, Institute of Child Development (Fair), and Department of Pediatrics (Feczko, Fair), University of Minnesota, Minneapolis; Department of Psychology and Speech-Language Pathology, University of Turku, Turku, Finland (Nolvi, Korja); Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin (Nolvi, Entringer, Buss); Department of Neuroscience, Earlham College, Richmond, Ind. (Thomas); Development, Health, and Disease Research Program and Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine (Rasmussen, Entringer, Wadhwa, Buss); Department of Pediatrics, University of California, Irvine, School of Medicine, Orange (Rasmussen, Entringer, Wadhwa, Buss); Departments of Psychiatry and Human Behavior (Entringer, Wadhwa), Obstetrics and Gynecology (Wadhwa), and Epidemiology (Wadhwa), University of California, Irvine, School of Medicine, Orange; FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku (Korja, H. Karlsson, L. Karlsson); Centre for Population Health Research, University of Turku and Turku University Hospital (Korja, H. Karlsson, L. Karlsson); Department of Paediatrics and Adolescent Medicine (L. Karlsson) and Department of Psychiatry (H. Karlsson), Department of Clinical Medicine, Turku University Hospital and University of Turku; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill (Gilmore); Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill (Styner)
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Liu J, Chen H, Cornea E, Gilmore JH, Gao W. Longitudinal developmental trajectories of functional connectivity reveal regional distribution of distinct age effects in infancy. Cereb Cortex 2023; 33:10367-10379. [PMID: 37585708 PMCID: PMC10545442 DOI: 10.1093/cercor/bhad288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 07/13/2023] [Indexed: 08/18/2023] Open
Abstract
Prior work has shown that different functional brain networks exhibit different maturation rates, but little is known about whether and how different brain areas may differ in the exact shape of longitudinal functional connectivity growth trajectories during infancy. We used resting-state functional magnetic resonance imaging (fMRI) during natural sleep to characterize developmental trajectories of different regions using a longitudinal cohort of infants at 3 weeks (neonate), 1 year, and 2 years of age (n = 90; all with usable data at three time points). A novel whole brain heatmap analysis was performed with four mixed-effect models to determine the best fit of age-related changes for each functional connection: (i) growth effects: positive-linear-age, (ii) emergent effects: positive-log-age, (iii) pruning effects: negative-quadratic-age, and (iv) transient effects: positive-quadratic-age. Our results revealed that emergent (logarithmic) effects dominated developmental trajectory patterns, but significant pruning and transient effects were also observed, particularly in connections centered on inferior frontal and anterior cingulate areas that support social learning and conflict monitoring. Overall, unique global distribution patterns were observed for each growth model indicating that developmental trajectories for different connections are heterogeneous. All models showed significant effects concentrated in association areas, highlighting the dominance of higher-order social/cognitive development during the first 2 years of life.
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Affiliation(s)
- Janelle Liu
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
| | - Haitao Chen
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, United States
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27514, United States
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27514, United States
| | - Wei Gao
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States
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6
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Li X, Chen H, Hu Y, Larsen RJ, Sutton BP, McElwain NL, Gao W. Functional neural network connectivity at 3 months predicts infant-mother dyadic flexibility during play at 6 months. Cereb Cortex 2023; 33:8321-8332. [PMID: 37020357 PMCID: PMC10321085 DOI: 10.1093/cercor/bhad117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 04/07/2023] Open
Abstract
Early functioning of neural networks likely underlies the flexible switching between internal and external orientation and may be key to the infant's ability to effectively engage in social interactions. To test this hypothesis, we examined the association between infants' neural networks at 3 months and infant-mother dyadic flexibility (denoting the structural variability of their interaction dynamics) at 3, 6, and 9 months. Participants included thirty-five infants (37% girls) and their mothers (87% White). At 3 months, infants participated in a resting-state functional magnetic resonance imaging session, and functional connectivity (FC) within the default mode (DMN) and salience (SN) networks, as well as DMN-SN internetwork FC, were derived using a seed-based approach. When infants were 3, 6, and 9 months, infant-mother dyads completed the Still-Face Paradigm where their individual engagement behaviors were observed and used to quantify dyadic flexibility using state space analysis. Results revealed that greater within-DMN FC, within-SN FC, and DMN-SN anticorrelation at 3 months predicted greater dyadic flexibility at 6 months, but not at 3 and 9 months. Findings suggest that early synchronization and interaction between neural networks underlying introspection and salience detection may support infants' flexible social interactions as they become increasingly active and engaged social partners.
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Affiliation(s)
- Xiaomei Li
- Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, 905 S. Goodwin Ave, Urbana, IL 61801, United States
| | - Haitao Chen
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, 116 N. Robertson Blvd, Los Angeles, CA 90048, CA, United States
- David Geffen School of Medicine, University of California, Geffen Hall, 885 Tiverton Drive, Los Angeles, CA 90095, United States
| | - Yannan Hu
- Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, 905 S. Goodwin Ave, Urbana, IL 61801, United States
| | - Ryan J Larsen
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave, Urbana, IL 61801, United States
| | - Bradley P Sutton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave, Urbana, IL 61801, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, 1406 W. Green St, Urbana, IL 61801, United States
| | - Nancy L McElwain
- Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, 905 S. Goodwin Ave, Urbana, IL 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave, Urbana, IL 61801, United States
| | - Wei Gao
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute, Cedars Sinai Medical Center, 116 N. Robertson Blvd, Los Angeles, CA 90048, CA, United States
- David Geffen School of Medicine, University of California, Geffen Hall, 885 Tiverton Drive, Los Angeles, CA 90095, United States
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7
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The role of the insula in cognitive impairment of schizophrenia. Schizophr Res Cogn 2023; 32:100277. [PMID: 36654887 PMCID: PMC9841050 DOI: 10.1016/j.scog.2022.100277] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 12/21/2022] [Accepted: 12/31/2022] [Indexed: 01/11/2023]
Abstract
Cognitive impairment is one of the core clinical symptom domains of schizophrenia. Research shows that cognitive deficits in this neuropsychiatric syndrome is associated with neurodevelopmental pathology affecting multiple brain regions such as the dorsolateral prefrontal cortex, the hippocampus and the parietal lobe. The insula is a relatively small structure that is highly connected with several brain regions as well as multiple brain networks. A large number of studies have reported the involvement of the insula in many of the psychotic and nonpsychotic manifestations of schizophrenia. Here we review the role of the insula as a hub across key neurocircuits which have been implicated in the various cognitive pathologies in schizophrenia. Structural and functional abnormalities in the right and left insulae may serve as a biomarker for susceptibility to schizophrenia.
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Votava-Smith JK, Gaesser J, Harbison AL, Lee V, Tran N, Rajagopalan V, del Castillo S, Kumar SR, Herrup E, Baust T, Johnson JA, Gabriel GC, Reynolds WT, Wallace J, Meyers B, Ceschin R, Lo CW, Schmithorst VJ, Panigrahy A. Clinical factors associated with microstructural connectome related brain dysmaturation in term neonates with congenital heart disease. Front Neurosci 2022; 16:952355. [PMID: 36466162 PMCID: PMC9717392 DOI: 10.3389/fnins.2022.952355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 11/01/2022] [Indexed: 11/19/2022] Open
Abstract
Objective Term congenital heart disease (CHD) neonates display abnormalities of brain structure and maturation, which are possibly related to underlying patient factors, abnormal physiology and perioperative insults. Our primary goal was to delineate associations between clinical factors and postnatal brain microstructure in term CHD neonates using diffusion tensor imaging (DTI) magnetic resonance (MR) acquisition combined with complementary data-driven connectome and seed-based tractography quantitative analyses. Our secondary goal was to delineate associations between mild dysplastic structural brain abnormalities and connectome and seed-base tractography quantitative analyses. These mild dysplastic structural abnormalities have been derived from prior human infant CHD MR studies and neonatal mouse models of CHD that were collectively used to calculate to calculate a brain dysplasia score (BDS) that included assessment of subcortical structures including the olfactory bulb, the cerebellum and the hippocampus. Methods Neonates undergoing cardiac surgery for CHD were prospectively recruited from two large centers. Both pre- and postoperative MR brain scans were obtained. DTI in 42 directions was segmented into 90 regions using a neonatal brain template and three weighted methods. Clinical data collection included 18 patient-specific and 9 preoperative variables associated with preoperative scan and 6 intraoperative (e.g., cardiopulmonary bypass and deep hypothermic circulatory arrest times) and 12 postoperative variables associated with postoperative scan. We compared patient specific and preoperative clinical factors to network topology and tractography alterations on a preoperative neonatal brain MRI, and intra and postoperative clinical factors to network topology alterations on postoperative neonatal brain MRI. A composite BDS was created to score abnormal findings involving the cerebellar hemispheres and vermis, supratentorial extra-axial fluid, olfactory bulbs and sulci, hippocampus, choroid plexus, corpus callosum, and brainstem. The neuroimaging outcomes of this study included (1) connectome metrics: cost (number of connections) and global/nodal efficiency (network integration); (2) seed based tractography methods of fractional anisotropy (FA), radial diffusivity, and axial diffusivity. Statistics consisted of multiple regression with false discovery rate correction (FDR) comparing the clinical risk factors and BDS (including subcortical components) as predictors/exposures and the global connectome metrics, nodal efficiency, and seed based- tractography (FA, radial diffusivity, and axial diffusivity) as neuroimaging outcome measures. Results A total of 133 term neonates with complex CHD were prospectively enrolled and 110 had analyzable DTI. Multiple patient-specific factors including d-transposition of the great arteries (d-TGA) physiology and severity of impairment of fetal cerebral substrate delivery (i.e., how much the CHD lesion alters typical fetal circulation such that the highest oxygen and nutrient rich blood from the placenta are not directed toward the fetal brain) were predictive of preoperative reduced cost (p < 0.0073) and reduced global/nodal efficiency (p < 0.03). Cardiopulmonary bypass time predicted postoperative reduced cost (p < 0.04) and multiple postoperative factors [extracorporeal membrane oxygenation (ECMO), seizures and cardiopulmonary resuscitation (CPR)] were predictive of postoperative reduced cost and reduced global/nodal efficiency (p < 0.05). Anthropometric measurements (weight, length, and head size) predicted tractography outcomes. Total BDS was not predictive of brain network topology. However, key subcortical components of the BDS score did predict key global and nodal network topology: abnormalities of the cerebellum predicted reduced cost (p < 0.0417) and of the hippocampus predicted reduced global efficiency (p < 0.0126). All three subcortical structures predicted unique alterations of nodal efficiency (p < 0.05), including hippocampal abnormalities predicting widespread reduced nodal efficiency in all lobes of the brain, cerebellar abnormalities predicting increased prefrontal nodal efficiency, and olfactory bulb abnormalities predicting posterior parietal-occipital nodal efficiency. Conclusion Patient-specific (d-TGA anatomy, preoperative impairment of fetal cerebral substrate delivery) and postoperative (e.g., seizures, need for ECMO, or CPR) clinical factors were most predictive of diffuse postnatal microstructural dysmaturation in term CHD neonates. Anthropometric measurements (weight, length, and head size) predicted tractography outcomes. In contrast, subcortical components (cerebellum, hippocampus, olfactory) of a structurally based BDS (derived from CHD mouse mutants), predicted more localized and regional postnatal microstructural differences. Collectively, these findings suggest that brain DTI connectome and seed-based tractography are complementary techniques which may facilitate deciphering the mechanistic relative contribution of clinical and genetic risk factors related to poor neurodevelopmental outcomes in CHD.
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Affiliation(s)
- Jodie K. Votava-Smith
- Division of Cardiology, Department of Pediatrics, Children’s Hospital Los Angeles, Keck School of Medicine of USC, Los Angeles, CA, United States
| | - Jenna Gaesser
- Department of Neurology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | | | - Vince Lee
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Nhu Tran
- Division of Neonatology, Department of Pediatrics, Keck School of Medicine of USC, Children’s Hospital Los Angeles, Fetal and Neonatal Institute, Los Angeles, CA, United States
| | - Vidya Rajagopalan
- Department of Radiology, Children’s Hospital Los Angeles, Keck School of Medicine of USC, Los Angeles, CA, United States
| | - Sylvia del Castillo
- Department of Anesthesiology Critical Care Medicine Anesthesiology, Children’s Hospital Los Angeles, Keck School of Medicine of USC, Los Angeles, CA, United States
| | - S. Ram Kumar
- Division of Cardiothoracic Surgery, Department of Surgery, Children’s Hospital Los Angeles, Keck School of Medicine of USC, Los Angeles, CA, United States
| | - Elizabeth Herrup
- Division of Pediatric Cardiac Intensive Care, Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Tracy Baust
- Division of Pediatric Cardiac Intensive Care, Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Jennifer A. Johnson
- Division of Pediatric Cardiology, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - George C. Gabriel
- Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States
| | - William T. Reynolds
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Julia Wallace
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Benjamin Meyers
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Rafael Ceschin
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States,Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Cecilia W. Lo
- Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Vanessa J. Schmithorst
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Ashok Panigrahy
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States,Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States,*Correspondence: Ashok Panigrahy,
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9
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Kidd T, Dferevine SL, Walker SC. Affective Touch and Regulation of Stress Responses. Health Psychol Rev 2022; 17:60-77. [PMID: 36346350 DOI: 10.1080/17437199.2022.2143854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Much has been documented on the association between stress and health. Both direct and indirect pathways have been identified and explored extensively, helping us understand trajectories from healthy individuals to reductions in well-being, and development of preclinical and disease states. Some of these pathways are well established within the field; physiology, affect regulation, and social relationships. The purpose of this review is to push beyond what is known separately about these pathways and provide a means to integrate them using one common mechanism. We propose that social touch, specifically affective touch, may be the missing active ingredient fundamental to our understanding of how close relationships contribute to stress and health. We provide empirical evidence detailing how affective touch is fundamental to the development of our stress systems, critical to the development of attachment bonds and subsequent social relationships across the life course. We will also explore how we can use this in applied contexts and incorporate it into existing interventions.
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Affiliation(s)
- Tara Kidd
- School of Psychology, Liverpool John Moore University, Liverpool, U.K
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10
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Wang R, Mo F, Shen Y, Song Y, Cai H, Zhu J. Functional connectivity gradients of the insula to different cerebral systems. Hum Brain Mapp 2022; 44:790-800. [PMID: 36206289 PMCID: PMC9842882 DOI: 10.1002/hbm.26099] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/16/2022] [Accepted: 09/24/2022] [Indexed: 01/25/2023] Open
Abstract
The diverse functional roles of the insula may emerge from its heavy connectivity to an extensive network of cortical and subcortical areas. Despite several previous attempts to investigate the hierarchical organization of the insula by applying the recently developed gradient approach to insula-to-whole brain connectivity data, little is known about whether and how there is variability across connectivity gradients of the insula to different cerebral systems. Resting-state functional MRI data from 793 healthy subjects were used to discover and validate functional connectivity gradients of the insula, which were computed based on its voxel-wise functional connectivity profiles to distinct cerebral systems. We identified three primary patterns of functional connectivity gradients of the insula to distinct cerebral systems. The connectivity gradients to the higher-order transmodal associative systems, including the prefrontal, posterior parietal, temporal cortices, and limbic lobule, showed a ventroanterior-dorsal axis across the insula; those to the lower-order unimodal primary systems, including the motor, somatosensory, and occipital cortices, displayed radiating transitions from dorsoanterior toward both ventroanterior and dorsoposterior parts of the insula; the connectivity gradient to the subcortical nuclei exhibited an organization along the anterior-posterior axis of the insula. Apart from complementing and extending previous literature on the heterogeneous connectivity patterns of insula subregions, the presented framework may offer ample opportunities to refine our understanding of the role of the insula in many brain disorders.
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Affiliation(s)
- Rui Wang
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
| | - Fan Mo
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
| | - Yuhao Shen
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
| | - Yu Song
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
| | - Huanhuan Cai
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
| | - Jiajia Zhu
- Department of RadiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina,Research Center of Clinical Medical Imaging, Anhui ProvinceHefeiChina,Anhui Provincial Institute of Translational MedicineHefeiChina
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11
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Scheinost D, Chang J, Lacadie C, Brennan-Wydra E, Foster R, Boxberger A, Macari S, Vernetti A, Constable RT, Ment LR, Chawarska K. Hypoconnectivity between anterior insula and amygdala associates with future vulnerabilities in social development in a neurodiverse sample of neonates. Sci Rep 2022; 12:16230. [PMID: 36171268 PMCID: PMC9517994 DOI: 10.1038/s41598-022-20617-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/15/2022] [Indexed: 11/25/2022] Open
Abstract
Altered resting state functional connectivity (FC) involving the anterior insula (aINS), a key node in the salience network, has been reported consistently in autism. Here we examined, for the first time, FC between the aINS and the whole brain in a sample of full-term, postmenstrual age (PMA) matched neonates (mean 44.0 weeks, SD = 1.5) who due to family history have high likelihood (HL) for developing autism (n = 12) and in controls (n = 41) without family history of autism (low likelihood, LL). Behaviors associated with autism were evaluated between 12 and 18 months (M = 17.3 months, SD = 2.5) in a subsample (25/53) of participants using the First Year Inventory (FYI). Compared to LL controls, HL neonates showed hypoconnectivity between left aINS and left amygdala. Lower connectivity between the two nodes was associated with higher FYI risk scores in the social domain (r(25) = -0.561, p = .003) and this association remained robust when maternal mental health factors were considered. Considering that a subsample of LL participants (n = 14/41) underwent brain imaging during the fetal period at PMA 31 and 34 weeks, in an exploratory analysis, we evaluated prospectively development of the LaINS-Lamy connectivity and found that the two areas strongly coactivate throughout the third trimester of pregnancy. The study identifies left lateralized anterior insula-amygdala connectivity as a potential target of further investigation into neural circuitry that enhances likelihood of future onset of social behaviors associated with autism during neonatal and potentially prenatal periods.
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Affiliation(s)
- Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Department of Statistics and Data Science, Yale University, New Haven, CT, 06520, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Joseph Chang
- Department of Statistics and Data Science, Yale University, New Haven, CT, 06520, USA
| | - Cheryl Lacadie
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
| | | | - Rachel Foster
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
| | | | - Suzanne Macari
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Angelina Vernetti
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Laura R Ment
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Katarzyna Chawarska
- Department of Statistics and Data Science, Yale University, New Haven, CT, 06520, USA.
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, 06510, USA.
- Yale Child Study Center, Yale School of Medicine, 300 George Street, Suite 900, New Haven, CT, 06510, USA.
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12
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Quabs J, Caspers S, Schöne C, Mohlberg H, Bludau S, Dickscheid T, Amunts K. Cytoarchitecture, probability maps and segregation of the human insula. Neuroimage 2022; 260:119453. [PMID: 35809885 DOI: 10.1016/j.neuroimage.2022.119453] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/09/2022] [Accepted: 07/04/2022] [Indexed: 10/17/2022] Open
Abstract
The human insular cortex supports multifunctional integration including interoceptive, sensorimotor, cognitive and social-emotional processing. Different concepts of the underlying microstructure have been proposed over more than a century. However, a 3D map of the cytoarchitectonic segregation of the insula in standard reference space, that could be directly linked to neuroimaging experiments addressing different cognitive tasks, is not yet available. Here we analyzed the middle posterior and dorsal anterior insula with image analysis and a statistical mapping procedure to delineate cytoarchitectonic areas in ten human postmortem brains. 3D-probability maps of seven new areas with granular (Ig3, posterior), agranular (Ia1, posterior) and dysgranular (Id2-Id6, middle to dorsal anterior) cytoarchitecture have been calculated to represent the new areas in stereotaxic space. A hierarchical cluster analysis based on cytoarchitecture resulted in three distinct clusters in the superior posterior, inferior posterior and dorsal anterior insula, providing deeper insights into the structural organization of the insula. The maps are openly available to support future studies addressing relations between structure and function in the human insula.
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Affiliation(s)
- Julian Quabs
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University of Düsseldorf, Germany; Institute for Anatomy I, Medical Faculty, Heinrich Heine University of Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany.
| | - Svenja Caspers
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University of Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany
| | - Claudia Schöne
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University of Düsseldorf, Germany
| | - Hartmut Mohlberg
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany
| | - Sebastian Bludau
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany
| | - Timo Dickscheid
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany
| | - Katrin Amunts
- C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University of Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany
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13
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Graff K, Tansey R, Rai S, Ip A, Rohr C, Dimond D, Dewey D, Bray S. Functional connectomes become more longitudinally self-stable, but not more distinct from others, across early childhood. Neuroimage 2022; 258:119367. [PMID: 35716841 DOI: 10.1016/j.neuroimage.2022.119367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 11/17/2022] Open
Abstract
Functional connectomes, as measured with functional magnetic resonance imaging (fMRI), are highly individualized, and evidence suggests this individualization may increase across childhood. A connectome can become more individualized either by increasing self-stability or decreasing between-subject-similarity. Here we used a longitudinal early childhood dataset to investigate age associations with connectome self-stability, between-subject-similarity, and developmental individualization, defined as an individual's self-stability across a 12-month interval relative to their between-subject-similarity. fMRI data were collected during an 18-minute passive viewing scan from 73 typically developing children aged 4-7 years, at baseline and 12-month follow-up. We found that young children had highly individualized connectomes, with sufficient self-stability across 12-months for 98% identification accuracy. Linear models showed a significant relationship between age and developmental individualization across the whole brain and in most networks. This association appeared to be largely driven by an increase in self-stability with age, with only weak evidence for relationships between age and similarity across participants. Together our findings suggest that children's connectomes become more individualized across early childhood, and that this effect is driven by increasing self-stability rather than decreasing between-subject-similarity.
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Affiliation(s)
- Kirk Graff
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada.
| | - Ryann Tansey
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Shefali Rai
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Amanda Ip
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Christiane Rohr
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Dennis Dimond
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Department of Pediatrics, University of Calgary, Calgary, AB, Canada; Community Health Science, University of Calgary, Calgary, AB, Canada
| | - Signe Bray
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Radiology, University of Calgary, Calgary, AB, Canada
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14
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Fermin ASR, Friston K, Yamawaki S. An insula hierarchical network architecture for active interoceptive inference. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220226. [PMID: 35774133 PMCID: PMC9240682 DOI: 10.1098/rsos.220226] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/09/2022] [Indexed: 05/05/2023]
Abstract
In the brain, the insular cortex receives a vast amount of interoceptive information, ascending through deep brain structures, from multiple visceral organs. The unique hierarchical and modular architecture of the insula suggests specialization for processing interoceptive afferents. Yet, the biological significance of the insula's neuroanatomical architecture, in relation to deep brain structures, remains obscure. In this opinion piece, we propose the Insula Hierarchical Modular Adaptive Interoception Control (IMAC) model to suggest that insula modules (granular, dysgranular and agranular), forming parallel networks with the prefrontal cortex and striatum, are specialized to form higher order interoceptive representations. These interoceptive representations are recruited in a context-dependent manner to support habitual, model-based and exploratory control of visceral organs and physiological processes. We discuss how insula interoceptive representations may give rise to conscious feelings that best explain lower order deep brain interoceptive representations, and how the insula may serve to defend the body and mind against pathological depression.
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Affiliation(s)
- Alan S. R. Fermin
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Karl Friston
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, England
| | - Shigeto Yamawaki
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
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15
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He C, Fan D, Liu X, Wang Q, Zhang H, Zhang H, Zhang Z, Xie C. Insula network connectivity mediates the association between childhood maltreatment and depressive symptoms in major depressive disorder patients. Transl Psychiatry 2022; 12:89. [PMID: 35236833 PMCID: PMC8891292 DOI: 10.1038/s41398-022-01829-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 01/05/2022] [Accepted: 01/18/2022] [Indexed: 11/09/2022] Open
Abstract
Childhood maltreatment (CM) is a major risk factor for developing the major depressive disorder (MDD), however, the neurobiological mechanism linking CM and MDD remains unclear. We recruited 34 healthy controls (HCs) and 44 MDD patients to complete the childhood maltreatment experience assessment with Childhood Trauma Questionnaire (CTQ) and resting-state fMRI scan. Multivariate linear regression analysis was employed to identify the main effects of CM and depressive symptoms total and subfactors scores on bilateral anterior and posterior insula functional connectivity (IFC) networks, respectively. Mediation analysis was performed to investigate whether IFC strength mediates the association between CM and depressive symptoms. MDD patients showed significantly decreased connectivity in the dorsal medial prefrontal cortex and increased connectivity in the medial frontal gyrus in the bipartite IFC networks, compared to HCs. The main effects of CM and depressive symptoms showed a large discrepancy on the anterior and posterior IFC networks, which primarily located in the frontal-limbic system. Further, conjunction analysis identified the overlapping regions linking CM and depressive symptoms were mainly implicated in self-regulation and cognitive processing circuits. More important, these IFC strengths could mediate the association between different types of CM, especially for childhood abuse and childhood neglect, and depressive symptoms in those overlapping regions. We demonstrated that early exposure to CM may increase the vulnerability to depression by influencing brain's self-regulating and cognitive processing circuitry. These findings provide new insight into the understanding of pathological mechanism underlying CM-induced depressive symptoms.
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Affiliation(s)
- Cancan He
- grid.263826.b0000 0004 1761 0489Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096 China
| | - Dandan Fan
- grid.263826.b0000 0004 1761 0489Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096 China
| | - Xinyi Liu
- grid.263826.b0000 0004 1761 0489Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096 China
| | - Qing Wang
- grid.263826.b0000 0004 1761 0489Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096 China
| | - Haisan Zhang
- grid.412990.70000 0004 1808 322XDepartment of Radiology, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Multimodal Brain Imaging, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China
| | - Hongxing Zhang
- grid.412990.70000 0004 1808 322XDepartment of Psychiatry, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002 China ,grid.412990.70000 0004 1808 322XPsychology School of Xinxiang Medical University, Xinxiang, Henan 453003 China
| | - Zhijun Zhang
- grid.263826.b0000 0004 1761 0489Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009 China ,grid.263826.b0000 0004 1761 0489The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210096 China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. .,Institute of Neuropsychiatry, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, 210009, China. .,The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, 210096, China.
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16
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Ge R, Hassel S, Arnott SR, Davis AD, Harris JK, Zamyadi M, Milev R, Frey BN, Strother SC, Müller DJ, Rotzinger S, MacQueen GM, Kennedy SH, Lam RW, Vila-Rodriguez F. Structural covariance pattern abnormalities of insula in major depressive disorder: A CAN-BIND study report. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110194. [PMID: 33296696 DOI: 10.1016/j.pnpbp.2020.110194] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 09/25/2020] [Accepted: 11/30/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND METHODS Investigation of the insula may inform understanding of the etiopathogenesis of major depressive disorder (MDD). In the present study, we introduced a novel gray matter volume (GMV) based structural covariance technique, and applied it to a multi-centre study of insular subregions of 157 patients with MDD and 93 healthy controls from the Canadian Biomarker Integration Network in Depression (CAN-BIND, https://www.canbind.ca/). Specifically, we divided the unilateral insula into three subregions, and investigated their coupling with whole-brain GMV-based structural brain networks (SBNs). We compared between-group difference of the structural coupling patterns between the insular subregions and SBNs. RESULTS The insula was divided into three subregions, including an anterior one, a superior-posterior one and an inferior-posterior one. In the comparison between MDD patients and controls we found that patients' right anterior insula showed increased inter-network coupling with the default mode network, and it showed decreased inter-network coupling with the central executive network; whereas patients' right ventral-posterior insula showed decreased inter-network coupling with the default mode network, and it showed increased inter-network coupling with the central executive network. We also demonstrated that patients' loading parameters of the right ventral-posterior insular structural covariance negatively correlated with their suicidal ideation scores; and controls' loading parameters of the right ventral-posterior insular structural covariance positively correlated with their motor and psychomotor speed scores, whereas these phenomena were not found in patients. Additionally, we did not find significant inter-network coupling between the whole-brain SBNs, including salience network, default mode network, and central executive network. CONCLUSIONS Our work proposed a novel technique to investigate the structural covariance coupling between large-scale structural covariance networks, and provided further evidence that MDD is a system-level disorder that shows disrupted structural coupling between brain networks.
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Affiliation(s)
- Ruiyang Ge
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | | | - Andrew D Davis
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Roumen Milev
- Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada; Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | | | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Susan Rotzinger
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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17
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Better living through understanding the insula: Why subregions can make all the difference. Neuropharmacology 2021; 198:108765. [PMID: 34461066 DOI: 10.1016/j.neuropharm.2021.108765] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/19/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
Insula function is considered critical for many motivated behaviors, with proposed functions ranging from attention, behavioral control, emotional regulation, goal-directed and aversion-resistant responding. Further, the insula is implicated in many neuropsychiatric conditions including substance abuse. More recently, multiple insula subregions have been distinguished based on anatomy, connectivity, and functional contributions. Generally, posterior insula is thought to encode more somatosensory inputs, which integrate with limbic/emotional information in middle insula, that in turn integrate with cognitive processes in anterior insula. Together, these regions provide rapid interoceptive information about the current or predicted situation, facilitating autonomic recruitment and quick, flexible action. Here, we seek to create a robust foundation from which to understand potential subregion differences, and provide direction for future studies. We address subregion differences across humans and rodents, so that the latter's mechanistic interventions can best mesh with clinical relevance of human conditions. We first consider the insula's suggested roles in humans, then compare subregional studies, and finally describe rodent work. One primary goal is to encourage precision in describing insula subregions, since imprecision (e.g. including both posterior and anterior studies when describing insula work) does a disservice to a larger understanding of insula contributions. Additionally, we note that specific task details can greatly impact recruitment of various subregions, requiring care and nuance in design and interpretation of studies. Nonetheless, the central ethological importance of the insula makes continued research to uncover mechanistic, mood, and behavioral contributions of paramount importance and interest. This article is part of the special Issue on 'Neurocircuitry Modulating Drug and Alcohol Abuse'.
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18
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Phillips ML, Schmithorst VJ, Banihashemi L, Taylor M, Samolyk A, Northrup JB, English GE, Versace A, Stiffler RS, Aslam HA, Bonar L, Panigrahy A, Hipwell AE. Patterns of Infant Amygdala Connectivity Mediate the Impact of High Caregiver Affect on Reducing Infant Smiling: Discovery and Replication. Biol Psychiatry 2021; 90:342-352. [PMID: 34130856 PMCID: PMC8364485 DOI: 10.1016/j.biopsych.2021.03.026] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 02/13/2021] [Accepted: 03/21/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Behavioral research indicates that caregiver mood disorders and emotional instability in the early months following childbirth are associated with lower positive emotionality and higher negative emotionality in infants, but the neural mechanisms remain understudied. METHODS Using resting-state functional connectivity as a measure of the functional architecture of the early infant brain, we aimed to determine the extent to which connectivity between the amygdala, a key region supporting emotional learning and perception, and large-scale neural networks mediated the association between caregiver affect and anxiety and early infant negative emotionality and positive emotionality. Two samples of infants (first sample: n = 58; second sample: n = 31) 3 months of age underwent magnetic resonance imaging during natural sleep. RESULTS During infancy, greater resting-state functional connectivity between the amygdala and the salience network and, to a lesser extent, lower amygdala and executive control network resting-state functional connectivity mediated the effect of greater caregiver postpartum depression and trait anxiety on reducing infant smiling (familywise error-corrected p < .05). Furthermore, results from the first sample were replicated in the second, independent sample, to a greater extent for caregiver depression than for caregiver anxiety. CONCLUSIONS We provide evidence of early objective neural markers that can help identify infants who are more likely to be at risk from, versus those who might be protected against, the deleterious effects of caregiver depression and anxiety and reduced positive emotionality.
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Affiliation(s)
- Mary L. Phillips
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Vincent J. Schmithorst
- UPMC Children’s Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Layla Banihashemi
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | | | - Jessie B. Northrup
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | - Amelia Versace
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | | | | | - Lisa Bonar
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Ashok Panigrahy
- UPMC Children’s Hospital of Pittsburgh, Department of Pediatric Radiology, Pittsburgh, PA
| | - Alison E. Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
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19
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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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20
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Liu J, Chen Y, Stephens R, Cornea E, Goldman B, Gilmore JH, Gao W. Hippocampal functional connectivity development during the first two years indexes 4-year working memory performance. Cortex 2021; 138:165-177. [PMID: 33691225 PMCID: PMC8058274 DOI: 10.1016/j.cortex.2021.02.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/03/2020] [Accepted: 02/05/2021] [Indexed: 02/08/2023]
Abstract
The hippocampus is a key limbic region involved in higher-order cognitive processes including learning and memory. Although both typical and atypical functional connectivity patterns of the hippocampus have been well-studied in adults, the developmental trajectory of hippocampal connectivity during infancy and how it relates to later working memory performance remains to be elucidated. Here we used resting state fMRI (rsfMRI) during natural sleep to examine the longitudinal development of hippocampal functional connectivity using a large cohort (N = 202) of infants at 3 weeks (neonate), 1 year, and 2 years of age. Next, we used multivariate modeling to investigate the relationship between both cross-sectional and longitudinal growth in hippocampal connectivity and 4-year working memory outcome. Results showed robust local functional connectivity of the hippocampus in neonates with nearby limbic and subcortical regions, with dramatic maturation and increasing connectivity with key default mode network (DMN) regions resulting in adult-like topology of the hippocampal functional connectivity by the end of the first year. This pattern was stabilized and further consolidated by 2 years of age. Importantly, cross-sectional and longitudinal measures of hippocampal connectivity in the first year predicted subsequent behavioral measures of working memory at 4 years of age. Taken together, our findings provide insight into the development of hippocampal functional circuits underlying working memory during this early critical period.
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Affiliation(s)
- Janelle Liu
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Yuanyuan Chen
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
| | - Barbara Goldman
- FPG Child Development Institute and Department of Psychology & Neuroscience, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
| | - Wei Gao
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA; David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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21
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Ellis CT, Skalaban LJ, Yates TS, Turk-Browne NB. Attention recruits frontal cortex in human infants. Proc Natl Acad Sci U S A 2021; 118:e2021474118. [PMID: 33727420 PMCID: PMC7999871 DOI: 10.1073/pnas.2021474118] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Young infants learn about the world by overtly shifting their attention to perceptually salient events. In adults, attention recruits several brain regions spanning the frontal and parietal lobes. However, it is unclear whether these regions are sufficiently mature in infancy to support attention and, more generally, how infant attention is supported by the brain. We used event-related functional magnetic resonance imaging (fMRI) in 24 sessions from 20 awake behaving infants 3 mo to 12 mo old while they performed a child-friendly attentional cuing task. A target was presented to either the left or right of the infant's fixation, and offline gaze coding was used to measure the latency with which they saccaded to the target. To manipulate attention, a brief cue was presented before the target in three conditions: on the same side as the upcoming target (valid), on the other side (invalid), or on both sides (neutral). All infants were faster to look at the target on valid versus invalid trials, with valid faster than neutral and invalid slower than neutral, indicating that the cues effectively captured attention. We then compared the fMRI activity evoked by these trial types. Regions of adult attention networks activated more strongly for invalid than valid trials, particularly frontal regions. Neither behavioral nor neural effects varied by infant age within the first year, suggesting that these regions may function early in development to support the orienting of attention. Together, this furthers our mechanistic understanding of how the infant brain controls the allocation of attention.
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Affiliation(s)
- Cameron T Ellis
- Department of Psychology, Yale University, New Haven, CT 06511
| | - Lena J Skalaban
- Department of Psychology, Yale University, New Haven, CT 06511
| | - Tristan S Yates
- Department of Psychology, Yale University, New Haven, CT 06511
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22
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Radhakrishnan R, Grecco G, Stolze K, Atwood B, Jennings SG, Lien IZ, Saykin AJ, Sadhasivam S. Neuroimaging in infants with prenatal opioid exposure: Current evidence, recent developments and targets for future research. J Neuroradiol 2021; 48:112-120. [PMID: 33065196 PMCID: PMC7979441 DOI: 10.1016/j.neurad.2020.09.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 09/28/2020] [Accepted: 09/29/2020] [Indexed: 12/29/2022]
Abstract
Prenatal opioid exposure (POE) has shown to be a risk factor for adverse long-term cognitive and behavioral outcomes in offspring. However, the neural mechanisms of these outcomes remain poorly understood. While preclinical and human studies suggest that these outcomes may be due to opioid-mediated changes in the fetal and early postnatal brain, other maternal, social, and environmental factors are also shown to play a role. Recent neuroimaging studies reveal brain alterations in children with POE. Early neuroimaging and novel methodology could provide an in vivo mechanistic understanding of opioid mediated alterations in developing brain. However, this is an area of ongoing research. In this review we explore recent imaging developments in POE, with emphasis on the neonatal and infant brain, and highlight some of the challenges of imaging the developing brain in this population. We also highlight evidence from animal models and imaging in older children and youth to understand areas where future research may be targeted in infants with POE.
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Affiliation(s)
- Rupa Radhakrishnan
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA.
| | - Gregory Grecco
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Brady Atwood
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Samuel G Jennings
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Izlin Z Lien
- Department of Pediatrics, Division of Neonatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
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23
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Distinct neural networks subserve placebo analgesia and nocebo hyperalgesia. Neuroimage 2021; 231:117833. [PMID: 33549749 DOI: 10.1016/j.neuroimage.2021.117833] [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: 06/13/2020] [Revised: 01/20/2021] [Accepted: 01/30/2021] [Indexed: 12/19/2022] Open
Abstract
Neural networks involved in placebo analgesia and nocebo hyperalgesia processes have been widely investigated with neuroimaging methods. However, few studies have directly compared these two processes and it remains unclear whether common or distinct neural circuits are involved. To address this issue, we implemented a coordinate-based meta-analysis and compared neural representations of placebo analgesia (30 studies; 205 foci; 677 subjects) and nocebo hyperalgesia (22 studies; 301 foci; 401 subjects). Contrast analyses confirmed placebo-specific concordance in the right ventral striatum, and nocebo-specific concordance in the dorsal anterior cingulate cortex (dACC), left posterior insula and left parietal operculum during combined pain anticipation and administration stages. Importantly, no overlapping regions were found for these two processes in conjunction analyses, even when the threshold was low. Meta-analytic connectivity modeling (MACM) and resting-state functional connectivity (RSFC) analyses on key regions further confirmed the distinct brain networks underlying placebo analgesia and nocebo hyperalgesia. Together, these findings indicate that the placebo analgesia and nocebo hyperalgesia processes involve distinct neural circuits, which supports the view that the two phenomena may operate via different neuropsychological processes.
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24
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Lemaître H, Augé P, Saitovitch A, Vinçon-Leite A, Tacchella JM, Fillon L, Calmon R, Dangouloff-Ros V, Lévy R, Grévent D, Brunelle F, Boddaert N, Zilbovicius M. Rest Functional Brain Maturation during the First Year of Life. Cereb Cortex 2021; 31:1776-1785. [PMID: 33230520 PMCID: PMC7869100 DOI: 10.1093/cercor/bhaa325] [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: 12/02/2019] [Revised: 10/09/2020] [Accepted: 10/09/2020] [Indexed: 11/28/2022] Open
Abstract
The first year of life is a key period of brain development, characterized by dramatic structural and functional modifications. Here, we measured rest cerebral blood flow (CBF) modifications throughout babies’ first year of life using arterial spin labeling magnetic resonance imaging sequence in 52 infants, from 3 to 12 months of age. Overall, global rest CBF significantly increased during this age span. In addition, we found marked regional differences in local functional brain maturation. While primary sensorimotor cortices and insula showed early maturation, temporal and prefrontal region presented great rest CBF increase across the first year of life. Moreover, we highlighted a late and remarkably synchronous maturation of the prefrontal and posterior superior temporal cortices. These different patterns of regional cortical rest CBF modifications reflect a timetable of local functional brain maturation and are consistent with baby’s cognitive development within the first year of life.
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Affiliation(s)
- Hervé Lemaître
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives (CNRS UMR 5293), Université de Bordeaux, Bordeaux 33000, France
| | - Pierre Augé
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Ana Saitovitch
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Alice Vinçon-Leite
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Jean-Marc Tacchella
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Ludovic Fillon
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Raphael Calmon
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Volodia Dangouloff-Ros
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Raphaël Lévy
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - David Grévent
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Francis Brunelle
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Nathalie Boddaert
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
| | - Monica Zilbovicius
- INSERM UA10, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, Imagine Institute (UMR 1163), Paris Descartes University, Sorbonne Paris Cité University, Paris 75015, France
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25
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Lammertink F, Vinkers CH, Tataranno ML, Benders MJNL. Premature Birth and Developmental Programming: Mechanisms of Resilience and Vulnerability. Front Psychiatry 2021; 11:531571. [PMID: 33488409 PMCID: PMC7820177 DOI: 10.3389/fpsyt.2020.531571] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 12/01/2020] [Indexed: 12/14/2022] Open
Abstract
The third trimester of pregnancy represents a sensitive phase for infant brain plasticity when a series of fast-developing cellular events (synaptogenesis, neuronal migration, and myelination) regulates the development of neural circuits. Throughout this dynamic period of growth and development, the human brain is susceptible to stress. Preterm infants are born with an immature brain and are, while admitted to the neonatal intensive care unit, precociously exposed to stressful procedures. Postnatal stress may contribute to altered programming of the brain, including key systems such as the hypothalamic-pituitary-adrenal axis and the autonomic nervous system. These neurobiological systems are promising markers for the etiology of several affective and social psychopathologies. As preterm birth interferes with early development of stress-regulatory systems, early interventions might strengthen resilience factors and might help reduce the detrimental effects of chronic stress exposure. Here we will review the impact of stress following premature birth on the programming of neurobiological systems and discuss possible stress-related neural circuits and pathways involved in resilience and vulnerability. Finally, we discuss opportunities for early intervention and future studies.
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Affiliation(s)
- Femke Lammertink
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Christiaan H. Vinkers
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Maria L. Tataranno
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Manon J. N. L. Benders
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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26
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Nani A, Manuello J, Mancuso L, Liloia D, Costa T, Vercelli A, Duca S, Cauda F. The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting. Neuroimage 2020; 225:117481. [PMID: 33122115 DOI: 10.1016/j.neuroimage.2020.117481] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 12/14/2022] Open
Abstract
Brain disorders tend to impact on many different regions in a typical way: alterations do not spread randomly; rather, they seem to follow specific patterns of propagation that show a strong overlap between different pathologies. The insular cortex is one of the brain areas more involved in this phenomenon, as it seems to be altered by a wide range of brain diseases. On these grounds we thoroughly investigated the impact of brain disorders on the insular cortices analyzing the patterns of their structural co-alteration. We therefore investigated, applying a network analysis approach to meta-analytic data, 1) what pattern of gray matter alteration is associated with each of the insular cortex parcels; 2) whether or not this pattern correlates and overlaps with its functional meta-analytic connectivity; and, 3) the behavioral profile related to each insular co-alteration pattern. All the analyses were repeated considering two solutions: one with two clusters and another with three. Our study confirmed that the insular cortex is one of the most altered cerebral regions among the cortical areas, and exhibits a dense network of co-alteration including a prevalence of cortical rather than sub-cortical brain regions. Regions of the frontal lobe are the most involved, while occipital lobe is the less affected. Furthermore, the co-alteration and co-activation patterns greatly overlap each other. These findings provide significant evidence that alterations caused by brain disorders are likely to be distributed according to the logic of network architecture, in which brain hubs lie at the center of networks composed of co-altered areas. For the first time, we shed light on existing differences between insula sub-regions even in the pathoconnectivity domain.
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Affiliation(s)
- Andrea Nani
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Jordi Manuello
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Lorenzo Mancuso
- FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Donato Liloia
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Tommaso Costa
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy.
| | - Alessandro Vercelli
- Neuroscience Institute of Turin, Turin, Italy; Neuroscience Institute Cavalieri Ottolenghi, Turin, Italy; Department of Neuroscience, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy
| | - Franco Cauda
- GCS fMRI, Koelliker Hospital and University of Turin, Turin, Italy; FOCUS Lab, Department of Psychology, University of Turin, Via Verdi, 10, Turin 10124, Italy; Neuroscience Institute of Turin, Turin, Italy
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27
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Chen Y, Liu S, Salzwedel A, Stephens R, Cornea E, Goldman BD, Gilmore JH, Gao W. The Subgrouping Structure of Newborns with Heterogenous Brain-Behavior Relationships. Cereb Cortex 2020; 31:301-311. [PMID: 32946557 DOI: 10.1093/cercor/bhaa226] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 12/18/2022] Open
Abstract
The presence of heterogeneity/subgroups in infants and older populations against single-domain brain or behavioral measures has been previously characterized. However, few attempts have been made to explore heterogeneity at the brain-behavior relationship level. Such a hypothesis posits that different subgroups of infants may possess qualitatively different brain-behavior relationships that could ultimately contribute to divergent developmental outcomes even with relatively similar brain phenotypes. In this study, we aimed to explore such relationship-level heterogeneity and delineate the subgrouping structure of newborns with differential brain-behavior associations based on a typically developing sample of 81 infants with 3-week resting-state functional magnetic resonance imaging scans and 4-year intelligence quotient (IQ) measures. Our results not only confirmed the existence of relationship-level heterogeneity in newborns but also revealed divergent developmental outcomes associated with two subgroups showing similar brain functional connectivity but contrasting brain-behavior relationships. Importantly, further analyses unveiled an intriguing pattern that the subgroup with higher 4-year IQ outcomes possessed brain-behavior relationships that were congruent to their functional connectivity pattern in neonates while the subgroup with lower 4-year IQ not, providing potential explanations for the observed IQ differences. The characterization of heterogeneity at the brain-behavior relationship level may not only improve our understanding of the patterned intersubject variability during infancy but could also pave the way for future development of heterogeneity-inspired, personalized, subgroup-specific models for better prediction.
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Affiliation(s)
- Yuanyuan Chen
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Shuxin Liu
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.,School of Educational Sciences, Minnan Normal University, Zhangzhou, Fujian 36300, China
| | - Andrew Salzwedel
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Barbara D Goldman
- Department of Psychology, FPG Child Development Institute, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Wei Gao
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.,Department of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
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28
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Edde M, Leroux G, Altena E, Chanraud S. Functional brain connectivity changes across the human life span: From fetal development to old age. J Neurosci Res 2020; 99:236-262. [PMID: 32557768 DOI: 10.1002/jnr.24669] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 05/11/2020] [Accepted: 05/15/2020] [Indexed: 01/02/2023]
Abstract
The dynamic of the temporal correlations between brain areas, called functional connectivity (FC), undergoes complex transformations through the life span. In this review, we aim to provide an overview of these changes in the nonpathological brain from fetal life to advanced age. After a brief description of the main methods, we propose that FC development can be divided into four main phases: first, before birth, a strong change in FC leads to the emergence of functional proto-networks, involving mainly within network short-range connections. Then, during the first years of life, there is a strong widespread organization of networks which starts with segregation processes followed by a continuous increase in integration. Thereafter, from adolescence to early adulthood, a refinement of existing networks in the brain occurs, characterized by an increase in integrative processes until about 40 years. Middle age constitutes a pivotal period associated with an inversion of the functional brain trajectories with a decrease in segregation process in conjunction to a large-scale reorganization of between network connections. Studies suggest that these processes are in line with the development of cognitive and sensory functions throughout life as well as their deterioration. During aging, results support the notion of dedifferentiation processes, which refer to the decrease in functional selectivity of the brain regions, resulting in more diffuse and less specialized FC, associated with the disruption of cognitive functions with age. The inversion of developmental processes during aging is in accordance with the developmental models of neuroanatomy for which the latest matured regions are the first to deteriorate.
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Affiliation(s)
- Manon Edde
- Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Gaëlle Leroux
- Université Claude-Bernard Lyon 1, Université de Lyon, CRNL, INSERM U1028, CNRS UMR5292, Lyon, France
| | - Ellemarije Altena
- UMR 5287 CNRS INCIA, Neuroimagerie et Cognition Humaine, Universitéde Bordeaux, Bordeaux, France
| | - Sandra Chanraud
- UMR 5287 CNRS INCIA, Neuroimagerie et Cognition Humaine, Universitéde Bordeaux, Bordeaux, France.,EPHE, PSL University, Paris, France
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29
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Sheffield JM, Rogers BP, Blackford JU, Heckers S, Woodward ND. Insula functional connectivity in schizophrenia. Schizophr Res 2020; 220:69-77. [PMID: 32307263 PMCID: PMC7322763 DOI: 10.1016/j.schres.2020.03.068] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/17/2020] [Accepted: 03/29/2020] [Indexed: 10/24/2022]
Abstract
The insula is structurally abnormal in schizophrenia, demonstrating reductions in volume, cortical thickness, and altered gyrification during prodromal, early and chronic stages of the illness. Despite compelling structural alterations, less is known about its functional connectivity, limited by studies considering the insula as a whole or only within the context of resting-state networks. There is evidence, however, from healthy subjects that the insula is comprised of sub-regions with distinct functional profiles, with dorsal anterior insula (dAI) involved in cognitive processing, ventral anterior insula (vAI) involved in affective processing, and posterior insula (PI) involved in somatosensory processing. The current study builds on this prior work and characterizes insula resting-state functional connectivity sub-region profiles in a large cohort of schizophrenia (N = 191) and healthy (N = 196) participants and hypothesizes specific associations between insula sub-region connectivity abnormalities and clinical characteristics related to their functional profiles. Functional dysconnectivity of the insula in schizophrenia is broadly characterized by reduced connectivity within insula sub-networks and greater connectivity with regions not normally connected with that sub-region, reflected in significantly greater similarity of dAI and PI connectivity profiles and significantly lower similarity of dAI and vAI connectivity profiles (p < .05). In schizophrenia, reduced connectivity of dAI correlates with cognitive function (r = 0.18, p = .014), whereas stronger connectivity between vAI and superior temporal sulcus correlates with negative symptoms (r = 0.27, p < .001). These findings reveal altered insula connectivity in all three sub-regions and converge with recent evidence of reduced differentiation of insula connectivity in schizophrenia, implicating functional dysconnectivity of the insula in cognitive and clinical symptoms.
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Affiliation(s)
- Julia M. Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Baxter P. Rogers
- Vanderbilt University Institute of Imaging Sciences, Nashville, TN, USA
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA,Tennessee Valley Health Service, Department of Veterans Affairs Medical Center, Nashville, TN, USA
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Neil D. Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA
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Rajasilta O, Tuulari JJ, Björnsdotter M, Scheinin NM, Lehtola SJ, Saunavaara J, Häkkinen S, Merisaari H, Parkkola R, Lähdesmäki T, Karlsson L, Karlsson H. Resting-state networks of the neonate brain identified using independent component analysis. Dev Neurobiol 2020; 80:111-125. [PMID: 32267069 DOI: 10.1002/dneu.22742] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 03/10/2020] [Accepted: 03/31/2020] [Indexed: 12/12/2022]
Abstract
Resting-state functional magnetic resonance imaging (rs-fMRI) has been successfully used to probe the intrinsic functional organization of the brain and to study brain development. Here, we implemented a combination of individual and group independent component analysis (ICA) of FSL on a 6-min resting-state data set acquired from 21 naturally sleeping term-born (age 26 ± 6.7 d), healthy neonates to investigate the emerging functional resting-state networks (RSNs). In line with the previous literature, we found evidence of sensorimotor, auditory/language, visual, cerebellar, thalmic, parietal, prefrontal, anterior cingulate as well as dorsal and ventral aspects of the default-mode-network. Additionally, we identified RSNs in frontal, parietal, and temporal regions that have not been previously described in this age group and correspond to the canonical RSNs established in adults. Importantly, we found that careful ICA-based denoising of fMRI data increased the number of networks identified with group-ICA, whereas the degree of spatial smoothing did not change the number of identified networks. Our results show that the infant brain has an established set of RSNs soon after birth.
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Affiliation(s)
- Olli Rajasilta
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland.,Department of Psychiatry, University of Oxford, Oxford, UK.,Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
| | - Malin Björnsdotter
- The Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Satu J Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Suvi Häkkinen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Harri Merisaari
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tuire Lähdesmäki
- Department of Pediatric Neurology, University of Turku and Turku University Hospital, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Child Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
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31
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Shi F, Salzwedel AP, Lin W, Gilmore JH, Gao W. Functional Brain Parcellations of the Infant Brain and the Associated Developmental Trends. Cereb Cortex 2019; 28:1358-1368. [PMID: 28334317 DOI: 10.1093/cercor/bhx062] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Indexed: 01/17/2023] Open
Abstract
Resting-state functional connectivity studies have dramatically improved our understanding of the early human brain functional development during the past decade. However, one emerging problem that could potentially impede future progresses in the field is the definition of regions of interest (ROI), since it is well known that functional connectivity estimation can be seriously contaminated by within-ROI signal heterogeneity. In this study, based on a large-scale rsfMRI data set in human infants (230 neonates, 143 1-year olds, and 107 2-year olds), we aimed to derive a set of anatomically constrained, infant-specific functional brain parcellations using functional connectivity-based clustering. Our results revealed significantly higher levels of signal homogeneity within the newly defined functional parcellations compared with other schemes. Importantly, the global functional connectivity patterns associated with the newly defined functional subunits demonstrated significantly increasing levels of differentiation with age, confirming increasing levels of local specialization. Subsequent whole brain connectivity analysis revealed intriguing patterns of regional-level functional connectivity developments and system-level hub redistribution during infancy. Overall, the newly derived infant-specific functional brain parcellations and the associated novel developmental patterns will likely prove valuable for future early developmental studies using the functional connectivity technique.
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Affiliation(s)
- Feng Shi
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Andrew P Salzwedel
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Weili Lin
- Department of Radiology, Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Wei Gao
- Department of Biomedical Sciences and Imaging, Biomedical Imaging Research Institute (BIRI), Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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32
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The effect of unilateral stroke on autonomic function in the term newborn. Pediatr Res 2019; 85:830-834. [PMID: 30712058 DOI: 10.1038/s41390-019-0320-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 12/28/2018] [Accepted: 01/21/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND The mature cerebral cortex has a topographically organized influence on reflex autonomic centers of the brainstem and diencephalon and sympathetic activation coming primarily from the right hemisphere and parasympathetic activation from the left. In the term newborn, the maturational status of this central autonomic system remains poorly understood. METHODS Sixteen term newborns admitted to Children's National with unilateral middle cerebral artery (MCA) strokes (n = 8 left, n = 8 right) had archived continuous electrocardiograph (EKG) signals available. We compared stroke laterality and severity with indices of autonomic function, as measured by heart rate variability. We performed both time- and frequency-domain analyses on the R-R interval (RRi) over 24h of continuous EKG data at around 7 days of age. RESULTS Right MCA stroke significantly increased sympathetic tone, while left MCA stroke increased parasympathetic tone. Regardless of laterality, stroke severity was associated inversely with sympathetic tone and positively with parasympathetic tone. Surprisingly, injury to either insular region had no significant autonomic effect. Phenobarbital blood levels were positively associated with sympathetic tone and inversely related to parasympathetic tone. CONCLUSION Based on these findings, it is difficult to reconcile the functional topography of the central autonomic system in term newborns with that currently proposed for the normal mature brain. Further investigation is clearly needed.
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Ciarrusta J, O'Muircheartaigh J, Dimitrova R, Batalle D, Cordero-Grande L, Price A, Hughes E, Steinweg JK, Kangas J, Perry E, Javed A, Stoencheva V, Akolekar R, Victor S, Hajnal J, Murphy D, Edwards D, Arichi T, McAlonan G. Social Brain Functional Maturation in Newborn Infants With and Without a Family History of Autism Spectrum Disorder. JAMA Netw Open 2019; 2:e191868. [PMID: 30951164 PMCID: PMC6450332 DOI: 10.1001/jamanetworkopen.2019.1868] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
IMPORTANCE What is inherited or acquired in neurodevelopmental conditions such as autism spectrum disorder (ASD) is not a fixed outcome, but instead is a vulnerability to a spectrum of traits, especially social difficulties. Identifying the biological mechanisms associated with vulnerability requires looking as early in life as possible, before the brain is shaped by postnatal mechanisms and/or the experiences of living with these traits. Animal studies suggest that susceptibility to neurodevelopmental disorders arises when genetic and/or environmental risks for these conditions alter patterns of synchronous brain activity in the perinatal period, but this has never been examined in human neonates. OBJECTIVE To assess whether alternation of functional maturation of social brain circuits is associated with a family history of ASD in newborns. DESIGN, SETTING, AND PARTICIPANTS In this cohort study of 36 neonates with and without a family history of ASD, neonates underwent magnetic resonance imaging at St Thomas Hospital in London, England, using a dedicated neonatal brain imaging system between June 23, 2015, and August 1, 2018. Neonates with a first-degree relative with ASD (R+) and therefore vulnerable to autistic traits and neonates without a family history (R-) were recruited for the study. Synchronous neural activity in brain regions linked to social function was compared. MAIN OUTCOMES AND MEASURES Regions responsible for social function were selected with reference to a published meta-analysis and the level of synchronous activity within each region was used as a measure of local functional connectivity in a regional homogeneity analysis. Group differences, controlling for sex, age at birth, age at scan, and group × age interactions, were examined. RESULTS The final data set consisted of 18 R+ infants (13 male; median [range] postmenstrual age at scan, 42.93 [40.00-44.86] weeks) and 18 R- infants (13 male; median [range] postmenstrual age at scan, 42.50 [39.29-44.58] weeks). Neonates who were R+ had significantly higher levels of synchronous activity in the right posterior fusiform (t = 2.48; P = .04) and left parietal cortices (t = 3.96; P = .04). In addition, there was a significant group × age interaction within the anterior segment of the left insula (t = 3.03; P = .04) and cingulate cortices (right anterior: t = 3.00; P = .03; left anterior: t = 2.81; P = .03; right posterior: t = 2.77; P = .03; left posterior: t = 2.55; P = .03). In R+ infants, levels of synchronous activity decreased over 39 to 45 weeks' postmenstrual age, whereas synchronous activity levels increased in R- infants over the same period. CONCLUSIONS AND RELEVANCE Synchronous activity is required during maturation of functionally connected networks. This study found that in newborn humans, having a first-degree relative with ASD was associated with higher levels of local functional connectivity and dysmaturation of interconnected regions responsible for processing higher-order social information.
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Affiliation(s)
- Judit Ciarrusta
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Jonathan O'Muircheartaigh
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | - Ralica Dimitrova
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Dafnis Batalle
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Anthony Price
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Emer Hughes
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Johannes Klaus Steinweg
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Johanna Kangas
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Emily Perry
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Ayesha Javed
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
| | - Vladimira Stoencheva
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | | | - Suresh Victor
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Joseph Hajnal
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
| | - Declan Murphy
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - David Edwards
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Tomoki Arichi
- Centre for the Developing Brain, School Biomedical Engineering & Imaging Sciences, King’s College London, St Thomas’ Hospital, London, United Kingdom
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Grainne McAlonan
- Institute of Psychiatry, Psychology & Neuroscience, Department of Forensic and Neurodevelopmental Sciences, King’s College London, Denmark Hill, London, United Kingdom
- Sackler Institute for Translational Neurodevelopment, King’s College London, Denmark Hill, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Insula Functional Connectivity in Schizophrenia: Subregions, Gradients, and Symptoms. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:399-408. [DOI: 10.1016/j.bpsc.2018.12.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 11/26/2018] [Accepted: 12/05/2018] [Indexed: 11/20/2022]
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35
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Wang YZ, Han Y, Zhao JJ, Du Y, Zhou Y, Liu Y, Zhang YF, Li L. Brain activity in patients with deficiency versus excess patterns of major depression: A task fMRI study. Complement Ther Med 2019; 42:292-297. [DOI: 10.1016/j.ctim.2018.12.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 12/02/2018] [Accepted: 12/08/2018] [Indexed: 10/27/2022] Open
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Zhang H, Shen D, Lin W. Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. Neuroimage 2019; 185:664-684. [PMID: 29990581 PMCID: PMC6289773 DOI: 10.1016/j.neuroimage.2018.07.004] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 05/19/2018] [Accepted: 07/02/2018] [Indexed: 12/16/2022] Open
Abstract
Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects. Recently, infant rs-fMRI studies have become an area of active research. After a decade of gap filling studies, many facets of the brain functional development from early infancy to toddler has been uncovered. However, infant rs-fMRI is still in its infancy. The image analysis tools for neonates and young infants can be quite different from those for adults. From data analysis to result interpretation, more questions and issues have been raised, and new hypotheses have been formed. With the anticipated availability of unprecedented high-resolution rs-fMRI and dedicated analysis pipelines from the Baby Connectome Project (BCP), it is important now to revisit previous findings and hypotheses, discuss and comment existing issues and problems, and make a "to-do-list" for the future studies. This review article aims to comprehensively review a decade of the findings, unveiling hidden jewels of the fields of developmental neuroscience and neuroimage computing. Emphases will be given to early infancy, particularly the first few years of life. In this review, an end-to-end summary, from infant rs-fMRI experimental design to data processing, and from the development of individual functional systems to large-scale brain functional networks, is provided. A comprehensive summary of the rs-fMRI findings in developmental patterns is highlighted. Furthermore, an extensive summary of the neurodevelopmental disorders and the effects of other hazardous factors is provided. Finally, future research trends focusing on emerging dynamic functional connectivity and state-of-the-art functional connectome analysis are summarized. In next decade, early infant rs-fMRI and developmental connectome study could be one of the shining research topics.
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Affiliation(s)
- Han Zhang
- Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, 27599, USA
| | - Dinggang Shen
- Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, 27599, USA; Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Republic of Korea.
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, 27599, USA.
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37
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Smyser CD, Wheelock MD, Limbrick DD, Neil JJ. Neonatal brain injury and aberrant connectivity. Neuroimage 2019; 185:609-623. [PMID: 30059733 PMCID: PMC6289815 DOI: 10.1016/j.neuroimage.2018.07.057] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 06/21/2018] [Accepted: 07/24/2018] [Indexed: 12/12/2022] Open
Abstract
Brain injury sustained during the neonatal period may disrupt development of critical structural and functional connectivity networks leading to subsequent neurodevelopmental impairment in affected children. These networks can be characterized using structural (via diffusion MRI) and functional (via resting state-functional MRI) neuroimaging techniques. Advances in neuroimaging have led to expanded application of these approaches to study term- and prematurely-born infants, providing improved understanding of cerebral development and the deleterious effects of early brain injury. Across both modalities, neuroimaging data are conducive to analyses ranging from characterization of individual white matter tracts and/or resting state networks through advanced 'connectome-style' approaches capable of identifying highly connected network hubs and investigating metrics of network topology such as modularity and small-worldness. We begin this review by summarizing the literature detailing structural and functional connectivity findings in healthy term and preterm infants without brain injury during the postnatal period, including discussion of early connectome development. We then detail common forms of brain injury in term- and prematurely-born infants. In this context, we next review the emerging body of literature detailing studies employing diffusion MRI, resting state-functional MRI and other complementary neuroimaging modalities to characterize structural and functional connectivity development in infants with brain injury. We conclude by reviewing technical challenges associated with neonatal neuroimaging, highlighting those most relevant to studying infants with brain injury and emphasizing the need for further targeted study in this high-risk population.
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Affiliation(s)
- Christopher D Smyser
- Departments of Neurology, Pediatrics and Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, St. Louis, MO, 63110, USA.
| | - Muriah D Wheelock
- Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8134, St. Louis, MO, 63110, USA.
| | - David D Limbrick
- Departments of Neurosurgery and Pediatrics, Washington University School of Medicine, One Children's Place, Suite S20, St. Louis, MO, 63110, USA.
| | - Jeffrey J Neil
- Department of Pediatric Neurology, Boston Children's Hospital, 300 Longwood Avenue, BCH3443, Boston, MA, 02115, USA.
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Salzwedel AP, Stephens RL, Goldman BD, Lin W, Gilmore JH, Gao W. Development of Amygdala Functional Connectivity During Infancy and Its Relationship With 4-Year Behavioral Outcomes. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:62-71. [PMID: 30316743 PMCID: PMC6512984 DOI: 10.1016/j.bpsc.2018.08.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 07/21/2018] [Accepted: 08/14/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND The amygdala represents a core node in the human brain's emotional signal processing circuitry. Given its critical role, both the typical and atypical functional connectivity patterns of the amygdala have been extensively studied in adults. However, the development of amygdala functional connectivity during infancy is less well studied; thus, our understanding of the normal growth trajectory of key emotion-related brain circuits during a critical period is limited. METHODS In this study, we used resting-state functional magnetic resonance imaging (N = 233 subjects with 334 datasets) to delineate the spatiotemporal dynamics of amygdala functional connectivity development during the first 2 years of life. Their relationships with 4-year emotional (i.e., anxiety and inhibitory self-control parent report measures) and cognitive (i.e., IQ) behavioral outcomes were also assessed using multivariate modeling. RESULTS Our results revealed nonlinear growth of amygdala functional connectivity during the first 2 years of life, featuring dramatic synchronization during the first year followed by moderate growth or fine tuning during the second year. Importantly, functional connectivity growth during the second year had significant behavioral implications exemplified by multiple significant predictions of 4-year emotional and cognitive developmental outcomes. CONCLUSIONS The delineation of the spatiotemporal dynamics of amygdala functional connectivity development during infancy and their associations with 4-year behavioral outcomes may provide new references on the early emergence of both typical and atypical emotion processing capabilities.
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Affiliation(s)
- Andrew P Salzwedel
- Biomedical Imaging Research Institute, Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - Rebecca L Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Barbara D Goldman
- FPG Child Development Institute and Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
| | - Wei Gao
- Biomedical Imaging Research Institute, Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California; Department of Medicine, University of California, Los Angeles, Los Angeles, California.
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Tian Y, Zalesky A. Characterizing the functional connectivity diversity of the insula cortex: Subregions, diversity curves and behavior. Neuroimage 2018; 183:716-733. [DOI: 10.1016/j.neuroimage.2018.08.055] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 08/23/2018] [Indexed: 12/25/2022] Open
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40
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Cusack R, McCuaig O, Linke AC. Methodological challenges in the comparison of infant fMRI across age groups. Dev Cogn Neurosci 2018; 33:194-205. [PMID: 29158073 PMCID: PMC6969274 DOI: 10.1016/j.dcn.2017.11.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 09/29/2017] [Accepted: 11/07/2017] [Indexed: 01/31/2023] Open
Abstract
Functional MRI (fMRI) in infants is rapidly growing and providing fundamental insights into the origins of brain functions. Comparing brain development at different ages is particularly powerful, but there are a number of methodological challenges that must be addressed if confounds are to be avoided. With development, brains change in composition in a way that alters their tissue contrast, and in size, shape, and gyrification, requiring careful image processing strategies and age-specific standard templates. The hemodynamic response and other aspects of physiology change with age, requiring careful paradigm design and analysis methods. Infants move more, particularly around the second year of age, and move in a different way to adults. This movement can lead to distortion in fMRI images, and requires tailored techniques during acquisition and post-processing. Infants have different sleep patterns, and their sensory periphery is changing macroscopically and in its neural pathways. Finally, once data have been acquired and analyzed, there are important considerations during mapping of brain processes and cognitive functions across age groups. In summary, new methods are critical to the comparison across age groups, and key to maximizing the rate at which infant fMRI can provide insight into the fascinating questions about the origin of cognition.
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Affiliation(s)
- Rhodri Cusack
- Brain and Mind Institute, Western University, Canada; Trinity College, Dublin, Ireland.
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41
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Growing a social brain. Nat Hum Behav 2018; 2:624-636. [PMID: 31346259 DOI: 10.1038/s41562-018-0384-6] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 06/12/2018] [Accepted: 06/19/2018] [Indexed: 12/20/2022]
Abstract
It has long been assumed that social animals, such as humans, are born with a brain system that has evolved to support social affiliation. However, the evidence does not necessarily support this assumption. Alternatively, social animals can be defined as those who cannot survive alone and rely on members from their group to regulate their ongoing physiology (or allostasis). The rather simple evolutionary constraint of social dependency for survival can be sufficient to make the social environment vitally salient, and to provide the ultimate driving force for socially crafted brain development and learning. In this Perspective, we propose a framework for sociality and specify a set of hypotheses on the mechanisms of social development and underlying neural systems. The theoretical shift proposed here implies that profound human characteristics, including but not limited to sociality, are acquired at an early age, while social interactions provide key wiring instructions that determine brain development.
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42
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Schmithorst VJ, Votava-Smith JK, Tran N, Kim R, Lee V, Ceschin R, Lai H, Johnson JA, De Toledo JS, Blüml S, Paquette L, Panigrahy A. Structural network topology correlates of microstructural brain dysmaturation in term infants with congenital heart disease. Hum Brain Mapp 2018; 39:4593-4610. [PMID: 30076775 DOI: 10.1002/hbm.24308] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 06/26/2018] [Accepted: 06/26/2018] [Indexed: 12/22/2022] Open
Abstract
Neonates with complex congenital heart disease (CHD) demonstrate microstructural brain dysmaturation, but the relationship with structural network topology is unknown. We performed diffusion tensor imaging (DTI) in term neonates with CHD preoperatively (N = 61) and postoperatively (N = 50) compared with healthy term controls (N = 91). We used network topology (graph) analyses incorporating different weighted and unweighted approaches and subject-specific white matter segmentation to investigate structural topology differences, as well as a voxel-based analysis (VBA) to confirm the presence of microstructural dysmaturation. We demonstrate cost-dependent network inefficiencies in neonatal CHD in the pre- and postoperative period compared with controls, related to microstructural differences. Controlling for cost, we show the presence of increased small-worldness (hierarchical fiber organization) in CHD infants preoperatively, that persists in the postoperative period compared with controls, suggesting the early presence of brain reorganization. Taken together, topological microstructural dysmaturation in CHD infants is accompanied by hierarchical fiber organization during a protracted critical period of early brain development. Our methodology also provides a pipeline for quantitation of network topology changes in neonates and infants with microstructural brain dysmaturation at risk for perinatal brain injury.
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Affiliation(s)
- Vincent J Schmithorst
- Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jodie K Votava-Smith
- Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
| | - Nhu Tran
- Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California
| | - Richard Kim
- Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Children's Hospital Los Angeles, Los Angeles, California
| | - Vince Lee
- Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rafael Ceschin
- Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.,Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Hollie Lai
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California
| | - Jennifer A Johnson
- Division of Pediatric Cardiology, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Joan Sanchez De Toledo
- Pediatric Cardiac Intensive Care Division, Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Stefan Blüml
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California
| | - Lisa Paquette
- Department of Pediatrics, Division of Neonatology, Children's Hospital Los Angeles, Los Angeles, California
| | - Ashok Panigrahy
- Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.,Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California
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43
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Mohammadi-Nejad AR, Mahmoudzadeh M, Hassanpour MS, Wallois F, Muzik O, Papadelis C, Hansen A, Soltanian-Zadeh H, Gelovani J, Nasiriavanaki M. Neonatal brain resting-state functional connectivity imaging modalities. PHOTOACOUSTICS 2018; 10:1-19. [PMID: 29511627 PMCID: PMC5832677 DOI: 10.1016/j.pacs.2018.01.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 01/12/2018] [Accepted: 01/27/2018] [Indexed: 05/12/2023]
Abstract
Infancy is the most critical period in human brain development. Studies demonstrate that subtle brain abnormalities during this state of life may greatly affect the developmental processes of the newborn infants. One of the rapidly developing methods for early characterization of abnormal brain development is functional connectivity of the brain at rest. While the majority of resting-state studies have been conducted using magnetic resonance imaging (MRI), there is clear evidence that resting-state functional connectivity (rs-FC) can also be evaluated using other imaging modalities. The aim of this review is to compare the advantages and limitations of different modalities used for the mapping of infants' brain functional connectivity at rest. In addition, we introduce photoacoustic tomography, a novel functional neuroimaging modality, as a complementary modality for functional mapping of infants' brain.
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Affiliation(s)
- Ali-Reza Mohammadi-Nejad
- CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
- Departments of Radiology and Research Administration, Henry Ford Health System, Detroit, MI, USA
| | - Mahdi Mahmoudzadeh
- INSERM, U1105, Université de Picardie, CURS, F80036, Amiens, France
- INSERM U1105, Exploration Fonctionnelles du Système Nerveux Pédiatrique, South University Hospital, F80054, Amiens Cedex, France
| | | | - Fabrice Wallois
- INSERM, U1105, Université de Picardie, CURS, F80036, Amiens, France
- INSERM U1105, Exploration Fonctionnelles du Système Nerveux Pédiatrique, South University Hospital, F80054, Amiens Cedex, France
| | - Otto Muzik
- Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Christos Papadelis
- Boston Children’s Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anne Hansen
- Boston Children’s Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hamid Soltanian-Zadeh
- CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
- Departments of Radiology and Research Administration, Henry Ford Health System, Detroit, MI, USA
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Juri Gelovani
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA
- Molecular Imaging Program, Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Mohammadreza Nasiriavanaki
- Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
- Molecular Imaging Program, Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
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Padilla N, Eklöf E, Mårtensson GE, Bölte S, Lagercrantz H, Ådén U. Poor Brain Growth in Extremely Preterm Neonates Long Before the Onset of Autism Spectrum Disorder Symptoms. Cereb Cortex 2018; 27:1245-1252. [PMID: 26689588 DOI: 10.1093/cercor/bhv300] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Preterm infants face an increased risk of autism spectrum disorder (ASD). The relationship between autism during childhood and early brain development remains unexplored. We studied 84 preterm children born at <27 weeks of gestation, who underwent neonatal magnetic resonance imaging (MRI) at term and were screened for ASD at 6.5 years. Full-scale intelligence quotient was measured and neonatal morbidities were recorded. Structural brain morphometric studies were performed in 33 infants with high-quality MRI and no evidence of focal brain lesions. Twenty-three (27.4%) of the children tested ASD positive and 61 (72.6%) tested ASD negative. The ASD-positive group had a significantly higher frequency of neonatal complications than the ASD-negative group. In the subgroup of 33 children, the ASD infants had reduced volumes in the temporal, occipital, insular, and limbic regions and in the brain areas involved in social/behavior and salience integration. This study shows that the neonatal MRI scans of extremely preterm children, subsequently diagnosed with ASD at 6.5 years, showed brain structural alterations, localized in the regions that play a key role in the core features of autism. Early detection of these structural alterations may allow the early identification and intervention of children at risk of ASD.
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Affiliation(s)
| | - Eva Eklöf
- Department of Women's and Children's Health
| | | | - Sven Bölte
- Department of Women's and Children's Health.,Division of Child and Adolescent Psychiatry, Stockholm County Council, Karolinska Institutet, Stockholm, Sweden
| | - Hugo Lagercrantz
- Department of Women's and Children's Health.,Department of Neonatology, Karolinska University Hospital, Stockholm, Sweden
| | - Ulrika Ådén
- Department of Women's and Children's Health.,Department of Neonatology, Karolinska University Hospital, Stockholm, Sweden
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45
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Maternal Immune Activation During the Third Trimester Is Associated with Neonatal Functional Connectivity of the Salience Network and Fetal to Toddler Behavior. J Neurosci 2018; 38:2877-2886. [PMID: 29487127 DOI: 10.1523/jneurosci.2272-17.2018] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 01/06/2018] [Accepted: 01/22/2018] [Indexed: 12/14/2022] Open
Abstract
Prenatal maternal immune activation (MIA) is associated with altered brain development and risk of psychiatric disorders in offspring. Translational human studies of MIA are few in number. Alterations of the salience network have been implicated in the pathogenesis of the same psychiatric disorders associated with MIA. If MIA is pathogenic, then associated abnormalities in the salience network should be detectable in neonates immediately after birth. We tested the hypothesis that third trimester MIA of adolescent women who are at risk for high stress and inflammation is associated with the strength of functional connectivity in the salience network of their neonate. Thirty-six women underwent blood draws to measure interleukin-6 (IL-6) and C-reactive protein (CRP) and electrocardiograms to measure fetal heart rate variability (FHRV) at 34-37 weeks gestation. Resting-state imaging data were acquired in the infants at 40-44 weeks postmenstrual age (PMA). Functional connectivity was measured from seeds placed in the anterior cingulate cortex and insula. Measures of cognitive development were obtained at 14 months PMA using the Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III). Both sexes were studied. Regions in which the strength of the salience network correlated with maternal IL-6 or CRP levels included the medial prefrontal cortex, temporoparietal junction, and basal ganglia. Maternal CRP level correlated inversely with FHRV acquired at the same gestational age. Maternal CRP and IL-6 levels correlated positively with measures of cognitive development on the BSID-III. These results suggest that MIA is associated with short- and long-term influences on offspring brain and behavior.SIGNIFICANCE STATEMENT Preclinical studies in rodents and nonhuman primates and epidemiological studies in humans suggest that maternal immune activation (MIA) alters the development of brain circuitry and associated behaviors, placing offspring at risk for psychiatric illness. Consistent with preclinical findings, we show that maternal third trimester interleukin-6 and C-reactive protein levels are associated with neonatal functional connectivity and with both fetal and toddler behavior. MIA-related functional connectivity was localized to the salience, default mode, and frontoparietal networks, which have been implicated in the pathogenesis of psychiatric disorders. Our results suggest that MIA alters functional connectivity in the neonatal brain, that those alterations have consequences for cognition, and that these findings may provide pathogenetic links between preclinical and epidemiological studies associating MIA with psychiatric risk in offspring.
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46
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Chen Y, Zhao X, Zhang X, Liu Y, Zhou P, Ni H, Ma J, Ming D. Age-related early/late variations of functional connectivity across the human lifespan. Neuroradiology 2018; 60:403-412. [PMID: 29383434 DOI: 10.1007/s00234-017-1973-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 12/28/2017] [Indexed: 12/18/2022]
Abstract
PURPOSE Many questions remain regarding how the brain develops, matures, and ages across the lifespan. The functional connectivity networks in the resting-state brain can reflect many of the characteristic changes in the brain that are associated with increasing age. Functional connectivity has been shown to be time-dependent over the course of a lifespan and even over the course of minutes. The lifespan strategies of all cognitive networks and how dynamic functional connectivity is associated with age are unclear. METHODS In this paper, studies employing both linear and quadratic models to define new specific lifespan strategies, including early/late increase/decrease models, were conducted to explore the lifespan functional changes. A large data sample was retrieved from the publicly available data from the Nathan Kline Institute (N = 149 and ages 9-85). Both static and dynamic functional connectivity indexes were calculated including the static functional connectivity, the mean of the dynamic functional connectivity and variations in dynamic functional connectivity. RESULTS The between-network connectivity results revealed early increases in the default-mode (DF) and cingulo-opercular network (CO)-associated network connectivities and a late increase in the fronto-parietal (FP)-associated network connectivity. These results depicted various lifespan strategies for different development stages and different cognitive networks across the lifespan. Additionally, the static FC and mean dynamic FC exhibited consistent results, and their variation exhibited a constant decrease with age across the entire age range. CONCLUSION These results (FDR-corrected p value < 0.05) suggest that the early/late variations in lifespan strategies could reflect an association between varied and complex circumstances and brain development.
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Affiliation(s)
- Yuanyuan Chen
- College of Microelectronics, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xin Zhao
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xiong Zhang
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Ya'nan Liu
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Peng Zhou
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Hongyan Ni
- Department of Radiology, Tianjin First Center Hospital, Tianjin, China
| | - Jianguo Ma
- College of Microelectronics, Tianjin University, Tianjin, China
| | - Dong Ming
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. .,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
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Gkioka E, Korou LM, Daskalopoulou A, Misitzi A, Batsidis E, Bakoyiannis I, Pergialiotis V. Prenatal cocaine exposure and its impact on cognitive functions of offspring: a pathophysiological insight. Rev Neurosci 2018; 27:523-34. [PMID: 26953708 DOI: 10.1515/revneuro-2015-0064] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 02/07/2016] [Indexed: 11/15/2022]
Abstract
It is estimated that approximately 0.5%-3% of fetuses are prenatally exposed to cocaine (COC). The neurodevelopmental implications of this exposure are numerous and include motor skill impairments, alterations of social function, predisposition to anxiety, and memory function and attention deficits; these implications are commonly observed in experimental studies and ultimately affect both learning and IQ. According to previous studies, the clinical manifestations of prenatal COC exposure seem to persist at least until adolescence. The pathophysiological cellular processes that underlie these impairments include dysfunctional myelination, disrupted dendritic architecture, and synaptic alterations. On a molecular level, various neurotransmitters such as serotonin, dopamine, catecholamines, and γ-aminobutyric acid seem to participate in this process. Finally, prenatal COC abuse has been also associated with functional changes in the hormones of the hypothalamic-pituitary-adrenal axis that mediate neuroendocrine responses. The purpose of this review is to summarize the neurodevelopmental consequences of prenatal COC abuse, to describe the pathophysiological pathways that underlie these consequences, and to provide implications for future research in the field.
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48
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Ou X, Glasier CM, Ramakrishnaiah RH, Kanfi A, Rowell AC, Pivik RT, Andres A, Cleves MA, Badger TM. Gestational Age at Birth and Brain White Matter Development in Term-Born Infants and Children. AJNR Am J Neuroradiol 2017; 38:2373-2379. [PMID: 29025726 DOI: 10.3174/ajnr.a5408] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 07/22/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Studies on infants and children born preterm have shown that adequate gestational length is critical for brain white matter development. Less is known regarding how variations in gestational age at birth in term infants and children affect white matter development, which was evaluated in this study. MATERIALS AND METHODS Using DTI tract-based spatial statistics methods, we evaluated white matter microstructures in 2 groups of term-born (≥37 weeks of gestation) healthy subjects: 2-week-old infants (n = 44) and 8-year-old children (n = 63). DTI parameters including fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were calculated by voxelwise and ROI methods and were correlated with gestational age at birth, with potential confounding factors such as postnatal age and sex controlled. RESULTS Fractional anisotropy values, which are markers for white matter microstructural integrity, positively correlated (P < .05, corrected) with gestational age at birth in most major white matter tracts/regions for the term infants. Mean diffusivity values, which are measures of water diffusivities in the brain, and axial and radial diffusivity values, which are markers for axonal growth and myelination, respectively, negatively correlated (P < .05, corrected) with gestational age at birth in all major white matter tracts/regions excluding the body and splenium of the corpus callosum for the term infants. No significant correlations with gestational age were observed for any tracts/regions for the term-born 8-year-old children. CONCLUSIONS Our results indicate that longer gestation during the normal term period is associated with significantly greater infant white matter development (as reflected by higher fractional anisotropy and lower mean diffusivity, axial diffusivity, and radial diffusivity values); however, similar associations were not observable in later childhood.
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Affiliation(s)
- X Ou
- From the Departments of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.)
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (X.O., R.T.P., A.A., T.M.B.), Little Rock, Arkansas
- Department of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.), Arkansas Children's Hospital, Little Rock, Arkansas
| | - C M Glasier
- From the Departments of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.)
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Department of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.), Arkansas Children's Hospital, Little Rock, Arkansas
| | - R H Ramakrishnaiah
- From the Departments of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.)
- Department of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.), Arkansas Children's Hospital, Little Rock, Arkansas
| | - A Kanfi
- From the Departments of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.)
- Department of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.), Arkansas Children's Hospital, Little Rock, Arkansas
| | - A C Rowell
- From the Departments of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.)
- Department of Radiology (X.O., C.M.G., R.H.R., A.K., A.C.R.), Arkansas Children's Hospital, Little Rock, Arkansas
| | - R T Pivik
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (X.O., R.T.P., A.A., T.M.B.), Little Rock, Arkansas
| | - A Andres
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (X.O., R.T.P., A.A., T.M.B.), Little Rock, Arkansas
| | - M A Cleves
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - T M Badger
- Pediatrics (X.O., C.M.G., R.T.P., A.A., M.A.C., T.M.B.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children's Nutrition Center (X.O., R.T.P., A.A., T.M.B.), Little Rock, Arkansas
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Grayson DS, Fair DA. Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature. Neuroimage 2017; 160:15-31. [PMID: 28161313 PMCID: PMC5538933 DOI: 10.1016/j.neuroimage.2017.01.079] [Citation(s) in RCA: 253] [Impact Index Per Article: 36.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Revised: 01/16/2017] [Accepted: 01/31/2017] [Indexed: 02/08/2023] Open
Abstract
The development of human cognition results from the emergence of coordinated activity between distant brain areas. Network science, combined with non-invasive functional imaging, has generated unprecedented insights regarding the adult brain's functional organization, and promises to help elucidate the development of functional architectures supporting complex behavior. Here we review what is known about functional network development from birth until adulthood, particularly as understood through the use of resting-state functional connectivity MRI (rs-fcMRI). We attempt to synthesize rs-fcMRI findings with other functional imaging techniques, with macro-scale structural connectivity, and with knowledge regarding the development of micro-scale structure. We highlight a number of outstanding conceptual and technical barriers that need to be addressed, as well as previous developmental findings that may need to be revisited. Finally, we discuss key areas ripe for future research in order to (1) better characterize normative developmental trajectories, (2) link these trajectories to biologic mechanistic events, as well as component behaviors and (3) better understand the clinical implications and pathophysiological basis of aberrant network development.
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Affiliation(s)
- David S Grayson
- The MIND Institute, University of California Davis, Sacramento, CA 95817, USA; Center for Neuroscience, University of California Davis, Davis, CA 95616, USA; Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97239, USA
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97239, USA; Department of Psychiatry, Oregon Health and Science University, Portland, OR 97239, USA; Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR 97239, USA.
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Keunen K, Counsell SJ, Benders MJ. The emergence of functional architecture during early brain development. Neuroimage 2017; 160:2-14. [DOI: 10.1016/j.neuroimage.2017.01.047] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/22/2016] [Accepted: 01/18/2017] [Indexed: 01/12/2023] Open
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