1
|
Mullin LJ, Rutsohn J, Gross JL, Caravella KE, Grzadzinski RL, Weisenfeld LA, Flake L, Botteron KN, Dager SR, Estes AM, Pandey J, Schultz RT, St John T, Wolff JJ, Shen MD, Piven J, Hazlett HC, Girault JB. Differential cognitive and behavioral development from 6 to 24 months in autism and fragile X syndrome. J Neurodev Disord 2024; 16:12. [PMID: 38509470 PMCID: PMC10953146 DOI: 10.1186/s11689-024-09519-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Specifying early developmental differences among neurodevelopmental disorders with distinct etiologies is critical to improving early identification and tailored intervention during the first years of life. Recent studies have uncovered important differences between infants with fragile X syndrome (FXS) and infants with familial history of autism spectrum disorder who go on to develop autism themselves (FH-ASD), including differences in brain development and behavior. Thus far, there have been no studies longitudinally investigating differential developmental skill profiles in FXS and FH-ASD infants. METHODS The current study contrasted longitudinal trajectories of verbal (expressive and receptive language) and nonverbal (gross and fine motor, visual reception) skills in FXS and FH-ASD infants, compared to FH infants who did not develop ASD (FH-nonASD) and typically developing controls. RESULTS Infants with FXS showed delays on a nonverbal composite compared to FH-ASD (as well as FH-nonASD and control) infants as early as 6 months of age. By 12 months an ordinal pattern of scores was established between groups on all domains tested, such that controls > FH-nonASD > FH-ASD > FXS. This pattern persisted through 24 months. Cognitive level differentially influenced developmental trajectories for FXS and FH-ASD. CONCLUSIONS Our results demonstrate detectable group differences by 6 months between FXS and FH-ASD as well as differential trajectories on each domain throughout infancy. This work further highlights an earlier onset of global cognitive delays in FXS and, conversely, a protracted period of more slowly emerging delays in FH-ASD. Divergent neural and cognitive development in infancy between FXS and FH-ASD contributes to our understanding of important distinctions in the development and behavioral phenotype of these two groups.
Collapse
Affiliation(s)
- Lindsay J Mullin
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA.
| | - Joshua Rutsohn
- Department of Biostatistics, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Julia L Gross
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Kelly E Caravella
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Leigh Anne Weisenfeld
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Lisa Flake
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, USA
- Center On Human Development and Disability, University of Washington, Seattle, USA
| | - Annette M Estes
- Center On Human Development and Disability, University of Washington, Seattle, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, USA
| | - Juhi Pandey
- The Children's Hospital of Philadelphia and University of Pennsylvania, Center for Autism Research, Philadelphia, USA
| | - Robert T Schultz
- The Children's Hospital of Philadelphia and University of Pennsylvania, Center for Autism Research, Philadelphia, USA
| | - Tanya St John
- Center On Human Development and Disability, University of Washington, Seattle, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
- Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities, the University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
| |
Collapse
|
2
|
McFayden TC, Rutsohn J, Cetin G, Forsen E, Swanson MR, Meera SS, Wolff JJ, Elison JT, Shen MD, Botteron K, Dager SR, Estes A, Gerig G, McKinstry RC, Pandey J, Schultz R, St John T, Styner M, Truong Y, Zwaigenbaum L, Hazlett HC, Piven J, Girault JB. White matter development and language abilities during infancy in autism spectrum disorder. Mol Psychiatry 2024:10.1038/s41380-024-02470-3. [PMID: 38383768 DOI: 10.1038/s41380-024-02470-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/23/2024]
Abstract
White matter (WM) fiber tract differences are present in autism spectrum disorder (ASD) and could be important markers of behavior. One of the earliest phenotypic differences in ASD are language atypicalities. Although language has been linked to WM in typical development, no work has evaluated this association in early ASD. Participants came from the Infant Brain Imaging Study and included 321 infant siblings of children with ASD at high likelihood (HL) for developing ASD; 70 HL infants were later diagnosed with ASD (HL-ASD), and 251 HL infants were not diagnosed with ASD (HL-Neg). A control sample of 140 low likelihood infants not diagnosed with ASD (LL-Neg) were also included. Infants contributed expressive language, receptive language, and diffusion tensor imaging data at 6-, 12-, and 24 months. Mixed effects regression models were conducted to evaluate associations between WM and language trajectories. Trajectories of microstructural changes in the right arcuate fasciculus were associated with expressive language development. HL-ASD infants demonstrated a different developmental pattern compared to the HL-Neg and LL-Neg groups, wherein the HL-ASD group exhibited a positive association between WM fractional anisotropy and language whereas HL-Neg and LL-Neg groups showed weak or no association. No other fiber tracts demonstrated significant associations with language. In conclusion, results indicated arcuate fasciculus WM is linked to language in early toddlerhood for autistic toddlers, with the strongest associations emerging around 24 months. To our knowledge, this is the first study to evaluate associations between language and WM development during the pre-symptomatic period in ASD.
Collapse
Affiliation(s)
- Tyler C McFayden
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA.
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gizem Cetin
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Elizabeth Forsen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Meghan R Swanson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Shoba S Meera
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Annette Estes
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, New York, NY, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Juhi Pandey
- Center for Autism Research, The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Robert Schultz
- Center for Autism Research, The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Tanya St John
- Institute on Human Development and Disability, University of Washington, Seattle, WA, USA
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Young Truong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, NC, USA
| |
Collapse
|
3
|
Burrows CA, Lasch C, Gross J, Girault JB, Rutsohn J, Wolff JJ, Swanson MR, Lee CM, Dager SR, Cornea E, Stephens R, Styner M, John TS, Pandey J, Deva M, Botteron KN, Estes AM, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Gilmore JH, Shen MD, Piven J, Elison JT. Associations between early trajectories of amygdala development and later school-age anxiety in two longitudinal samples. Dev Cogn Neurosci 2024; 65:101333. [PMID: 38154378 PMCID: PMC10792190 DOI: 10.1016/j.dcn.2023.101333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months. Anxiety was assessed at 6-12 years. Linear multilevel modeling tested whether amygdala volume growth was associated with anxiety symptoms at school age. In the IBIS sample, children with higher anxiety showed accelerated amygdala growth from 6 to 24 months. ASD diagnosis and ASD familial likelihood were not significant predictors. In the EBDS sample, amygdala growth from birth to 24 months was associated with anxiety. More anxious children had smaller amygdala volume and slower rates of amygdala growth. We explore reasons for the contrasting results between high-familial likelihood for ASD and TD samples, grounding results in the broader literature of variable associations between early amygdala volume and later anxiety. Results have the potential to identify mechanisms linking early amygdala growth to later anxiety in certain groups.
Collapse
Affiliation(s)
| | - Carolyn Lasch
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Julia Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Chimei M Lee
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- Deptartment of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Emil Cornea
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Meera Deva
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, Seattle, WA, USA; Deptartment of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jed T Elison
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
4
|
Alex AM, Aguate F, Botteron K, Buss C, Chong YS, Dager SR, Donald KA, Entringer S, Fair DA, Fortier MV, Gaab N, Gilmore JH, Girault JB, Graham AM, Groenewold NA, Hazlett H, Lin W, Meaney MJ, Piven J, Qiu A, Rasmussen JM, Roos A, Schultz RT, Skeide MA, Stein DJ, Styner M, Thompson PM, Turesky TK, Wadhwa PD, Zar HJ, Zöllei L, de Los Campos G, Knickmeyer RC. A global multicohort study to map subcortical brain development and cognition in infancy and early childhood. Nat Neurosci 2024; 27:176-186. [PMID: 37996530 PMCID: PMC10774128 DOI: 10.1038/s41593-023-01501-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 10/16/2023] [Indexed: 11/25/2023]
Abstract
The human brain grows quickly during infancy and early childhood, but factors influencing brain maturation in this period remain poorly understood. To address this gap, we harmonized data from eight diverse cohorts, creating one of the largest pediatric neuroimaging datasets to date focused on birth to 6 years of age. We mapped the developmental trajectory of intracranial and subcortical volumes in ∼2,000 children and studied how sociodemographic factors and adverse birth outcomes influence brain structure and cognition. The amygdala was the first subcortical volume to mature, whereas the thalamus exhibited protracted development. Males had larger brain volumes than females, and children born preterm or with low birthweight showed catch-up growth with age. Socioeconomic factors exerted region- and time-specific effects. Regarding cognition, males scored lower than females; preterm birth affected all developmental areas tested, and socioeconomic factors affected visual reception and receptive language. Brain-cognition correlations revealed region-specific associations.
Collapse
Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA
| | - Fernando Aguate
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA
- Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Kelly Botteron
- Mallinickrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California Irvine, Irvine, CA, USA
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Stephen R Dager
- Department of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Sonja Entringer
- Department of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California Irvine, Irvine, CA, USA
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, MA, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carboro, NC, USA
| | - Alice M Graham
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Nynke A Groenewold
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SA-MRC) Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Heather Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carboro, NC, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael J Meaney
- Department of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carboro, NC, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
- NUS (Suzhou) Research Institute, National University of Singapore, Suzhou, China
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
- Institute of Data Science, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, China
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California Irvine, Irvine, CA, USA
| | - Annerine Roos
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia and the University of Pennsylvania, Philadelphia, PA, USA
| | - Michael A Skeide
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Martin Styner
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carboro, NC, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of Southern California, Marina del Rey, CA, USA
| | - Ted K Turesky
- Harvard Graduate School of Education, Harvard University, Cambridge, MA, USA
| | - Pathik D Wadhwa
- Department of Pediatrics, University of California Irvine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California Irvine, Irvine, CA, USA
- Departments of Psychiatry and Human Behavior, Obstetrics & Gynecology, Epidemiology, University of California, Irvine, Irvine, CA, USA
| | - Heather J Zar
- South African Medical Research Council (SA-MRC) Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Lilla Zöllei
- A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA
- Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, MI, USA
- Department of Statistics & Probability, Michigan State University, East Lansing, MI, USA
| | - Rebecca C Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, USA.
- Department of Pediatrics and Human Development, Michigan State University, East Lansing, MI, USA.
| |
Collapse
|
5
|
Hong Y, Cornea E, Girault JB, Bagonis M, Foster M, Kim SH, Prieto JC, Chen H, Gao W, Styner MA, Gilmore JH. Structural and functional connectome relationships in early childhood. Dev Cogn Neurosci 2023; 64:101314. [PMID: 37898019 PMCID: PMC10630618 DOI: 10.1016/j.dcn.2023.101314] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/27/2023] [Accepted: 10/12/2023] [Indexed: 10/30/2023] Open
Abstract
There is strong evidence that the functional connectome is highly related to the white matter connectome in older children and adults, though little is known about structure-function relationships in early childhood. We investigated the development of cortical structure-function coupling in children longitudinally scanned at 1, 2, 4, and 6 years of age (N = 360) and in a comparison sample of adults (N = 89). We also applied a novel graph convolutional neural network-based deep learning model with a new loss function to better capture inter-subject heterogeneity and predict an individual's functional connectivity from the corresponding structural connectivity. We found regional patterns of structure-function coupling in early childhood that were consistent with adult patterns. In addition, our deep learning model improved the prediction of individual functional connectivity from its structural counterpart compared to existing models.
Collapse
Affiliation(s)
- Yoonmi Hong
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, United States of America
| | - Maria Bagonis
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| | - Mark Foster
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| | - Juan Carlos Prieto
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| | - Haitao Chen
- Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, United States of America
| | - Wei Gao
- Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, United States of America
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America; Department of Computer Science, University of North Carolina at Chapel Hill, United States of America
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America
| |
Collapse
|
6
|
Bagonis M, Cornea E, Girault JB, Stephens RL, Kim S, Prieto JC, Styner M, Gilmore JH. Early Childhood Development of Node Centrality in the White Matter Connectome and Its Relationship to IQ at Age 6 Years. Biol Psychiatry Cogn Neurosci Neuroimaging 2023; 8:1024-1032. [PMID: 36162754 PMCID: PMC10033460 DOI: 10.1016/j.bpsc.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The white matter (WM) connectome is important for cognitive development and intelligence and is altered in neuropsychiatric illnesses. Little is known about how the WM connectome develops or its relationship to IQ in early childhood. METHODS The development of node centrality in the WM connectome was studied in a longitudinal cohort of 226 (123 female) children from the University of North Carolina Early Brain Development Study. Structural and diffusion-weighted images were acquired after birth and at 1, 2, 4, and 6 years, and IQ was assessed at 6 years. Eigenvector centrality, betweenness centrality, and the global graph metrics of global efficiency, small worldness, and modularity were determined at each age. RESULTS The greatest developmental change in eigenvector centrality and betweenness centrality occurred during the first year of life, with relative stability between ages 1 and 6 years. Most of the high-centrality hubs at age 6 were also high-centrality hubs at 1 year, and many were already high-centrality hubs at birth. There were generally small but significant changes in global efficiency and modularity from birth to 6 years, while small worldness increased between 2 and 4 years. Individual node centrality was not significantly correlated with IQ at 6 years. CONCLUSIONS Node centrality in the WM connectome is established very early in childhood and is relatively stable from age 1 to 6 years. Many high-centrality hubs are established before birth, and most are present by age 1.
Collapse
Affiliation(s)
- Maria Bagonis
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Rebecca L Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - SunHyung Kim
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Juan Carlos Prieto
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Computer Science, 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.
| |
Collapse
|
7
|
Wang F, Zhang H, Wu Z, Hu D, Zhou Z, Girault JB, Wang L, Lin W, Li G. Fine-grained functional parcellation maps of the infant cerebral cortex. eLife 2023; 12:e75401. [PMID: 37526293 PMCID: PMC10393291 DOI: 10.7554/elife.75401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 07/17/2023] [Indexed: 08/02/2023] Open
Abstract
Resting-state functional MRI (rs-fMRI) is widely used to examine the dynamic brain functional development of infants, but these studies typically require precise cortical parcellation maps, which cannot be directly borrowed from adult-based functional parcellation maps due to the substantial differences in functional brain organization between infants and adults. Creating infant-specific cortical parcellation maps is thus highly desired but remains challenging due to difficulties in acquiring and processing infant brain MRIs. In this study, we leveraged 1064 high-resolution longitudinal rs-fMRIs from 197 typically developing infants and toddlers from birth to 24 months who participated in the Baby Connectome Project to develop the first set of infant-specific, fine-grained, surface-based cortical functional parcellation maps. To establish meaningful cortical functional correspondence across individuals, we performed cortical co-registration using both the cortical folding geometric features and the local gradient of functional connectivity (FC). Then we generated both age-related and age-independent cortical parcellation maps with over 800 fine-grained parcels during infancy based on aligned and averaged local gradient maps of FC across individuals. These parcellation maps reveal complex functional developmental patterns, such as changes in local gradient, network size, and local efficiency, especially during the first 9 postnatal months. Our generated fine-grained infant cortical functional parcellation maps are publicly available at https://www.nitrc.org/projects/infantsurfatlas/ for advancing the pediatric neuroimaging field.
Collapse
Affiliation(s)
- Fan Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong UniversityXi'anChina
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Han Zhang
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Zhengwang Wu
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Dan Hu
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Zhen Zhou
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Jessica B Girault
- Department of Psychiatry, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, the University of North Carolina at Chapel HillChapel HillUnited States
| |
Collapse
|
8
|
MacDuffie KE, Stein JL, Doherty D, Jayadev S, Girault JB, Emmons KA, Glass MR, Dempsey JC, Marrus N, Botteron KN, Dager SR, Estes AM, Piven J, Wilfond BS. Donor perspectives on informed consent and use of biospecimens for brain organoid research. Stem Cell Reports 2023; 18:1389-1393. [PMID: 37352851 PMCID: PMC10362497 DOI: 10.1016/j.stemcr.2023.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/25/2023] Open
Abstract
Debates about the ethics of human brain organoids have proceeded without the input of individuals whose brains are being modeled. Interviews with donors of biospecimens for brain organoid research revealed overall enthusiasm for brain organoids as a tool for biomedical discovery, alongside a desire for ongoing engagement with research teams to learn the results of the research, to allow transfer of decision-making authority over time, and to ensure ethical boundaries are not crossed. Future work is needed to determine the most feasible and resource-efficient way to longitudinally engage donors participating in brain organoid research.
Collapse
Affiliation(s)
- Katherine E MacDuffie
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA; Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, WA, USA.
| | - Jason L Stein
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Dan Doherty
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Katherine A Emmons
- Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Madison Rose Glass
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Jennifer C Dempsey
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Annette M Estes
- Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Benjamin S Wilfond
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA; Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, WA, USA
| |
Collapse
|
9
|
Alex AM, Buss C, Davis EP, Campos GDL, Donald KA, Fair DA, Gaab N, Gao W, Gilmore JH, Girault JB, Grewen K, Groenewold NA, Hankin BL, Ipser J, Kapoor S, Kim P, Lin W, Luo S, Norton ES, O'Connor TG, Piven J, Qiu A, Rasmussen JM, Skeide MA, Stein DJ, Styner MA, Thompson PM, Wakschlag L, Knickmeyer R. Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. Biol Psychiatry 2023; 93:905-920. [PMID: 36932005 PMCID: PMC10136952 DOI: 10.1016/j.biopsych.2023.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/30/2023]
Abstract
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual's risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
Collapse
Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan
| | - Claudia Buss
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Elysia Poggi Davis
- Department of Pediatrics, University of California Irvine, Irvine, California; Department of Psychology, University of Denver, Denver, Colorado
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, Michigan; Department of Statistics & Probability, Michigan State University, East Lansing, Michigan
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts
| | - Wei Gao
- Cedars-Sinai Biomedical Imaging Research Institute, Los Angeles, California; Departments of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Karen Grewen
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa; South African Medical Research Council Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Benjamin L Hankin
- Psychology Department, University of Illinois Urbana,-Champaign, Illinois
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shreya Kapoor
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Pilyoung Kim
- Department of Psychology, University of Denver, Denver, Colorado
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Shan Luo
- Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California
| | - Elizabeth S Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois; Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; the Institute for Health, National University of Singapore, Singapore; School of Computer Engineering and Science, Shanghai University, Shanghai, China; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, Baltimore, Maryland
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Michael A Skeide
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin A Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Laurie Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rebecca Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan.
| |
Collapse
|
10
|
Hawks ZW, Todorov A, Marrus N, Nishino T, Talovic M, Nebel MB, Girault JB, Davis S, Marek S, Seitzman BA, Eggebrecht AT, Elison J, Dager S, Mosconi MW, Tychsen L, Snyder AZ, Botteron K, Estes A, Evans A, Gerig G, Hazlett HC, McKinstry RC, Pandey J, Schultz RT, Styner M, Wolff JJ, Zwaigenbaum L, Markson L, Petersen SE, Constantino JN, White DA, Piven J, Pruett JR. A Prospective Evaluation of Infant Cerebellar-Cerebral Functional Connectivity in Relation to Behavioral Development in Autism Spectrum Disorder. Biol Psychiatry Glob Open Sci 2023; 3:149-161. [PMID: 36712571 PMCID: PMC9874081 DOI: 10.1016/j.bpsgos.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 12/03/2021] [Accepted: 12/04/2021] [Indexed: 02/01/2023] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder diagnosed based on social impairment, restricted interests, and repetitive behaviors. Contemporary theories posit that cerebellar pathology contributes causally to ASD by disrupting error-based learning (EBL) during infancy. The present study represents the first test of this theory in a prospective infant sample, with potential implications for ASD detection. Methods Data from the Infant Brain Imaging Study (n = 94, 68 male) were used to examine 6-month cerebellar functional connectivity magnetic resonance imaging in relation to later (12/24-month) ASD-associated behaviors and outcomes. Hypothesis-driven univariate analyses and machine learning-based predictive tests examined cerebellar-frontoparietal network (FPN; subserves error signaling in support of EBL) and cerebellar-default mode network (DMN; broadly implicated in ASD) connections. Cerebellar-FPN functional connectivity was used as a proxy for EBL, and cerebellar-DMN functional connectivity provided a comparative foil. Data-driven functional connectivity magnetic resonance imaging enrichment examined brain-wide behavioral associations, with post hoc tests of cerebellar connections. Results Cerebellar-FPN and cerebellar-DMN connections did not demonstrate associations with ASD. Functional connectivity magnetic resonance imaging enrichment identified 6-month correlates of later ASD-associated behaviors in networks of a priori interest (FPN, DMN), as well as in cingulo-opercular (also implicated in error signaling) and medial visual networks. Post hoc tests did not suggest a role for cerebellar connections. Conclusions We failed to identify cerebellar functional connectivity-based contributions to ASD. However, we observed prospective correlates of ASD-associated behaviors in networks that support EBL. Future studies may replicate and extend network-level positive results, and tests of the cerebellum may investigate brain-behavior associations at different developmental stages and/or using different neuroimaging modalities.
Collapse
Affiliation(s)
- Zoë W. Hawks
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
- Address correspondence to Zoë W. Hawks, Ph.D.
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Tomoyuki Nishino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Muhamed Talovic
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Mary Beth Nebel
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessica B. Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Savannah Davis
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Benjamin A. Seitzman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Adam T. Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Jed Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
| | - Stephen Dager
- Departments of Radiology, University of Washington, Seattle, Washington
| | - Matthew W. Mosconi
- Life Span Institute and Clinical Child Psychology Program, University of Kansas, Lawrence, Kansas
| | - Lawrence Tychsen
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Annette Estes
- Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Guido Gerig
- Department of Computer Science and Engineering, Tandon School of Engineering, New York University, New York, New York
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jason J. Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Lori Markson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Steven E. Petersen
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - John N. Constantino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Desirée A. White
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| |
Collapse
|
11
|
Girault JB, Donovan K, Hawks Z, Talovic M, Forsen E, Elison JT, Shen MD, Swanson MR, Wolff JJ, Kim SH, Nishino T, Davis S, Snyder AZ, Botteron KN, Estes AM, Dager SR, Hazlett HC, Gerig G, McKinstry R, Pandey J, Schultz RT, St John T, Zwaigenbaum L, Todorov A, Truong Y, Styner M, Pruett JR, Constantino JN, Piven J. Infant Visual Brain Development and Inherited Genetic Liability in Autism. Am J Psychiatry 2022; 179:573-585. [PMID: 35615814 PMCID: PMC9356977 DOI: 10.1176/appi.ajp.21101002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Autism spectrum disorder (ASD) is heritable, and younger siblings of ASD probands are at higher likelihood of developing ASD themselves. Prospective MRI studies of siblings report that atypical brain development precedes ASD diagnosis, although the link between brain maturation and genetic factors is unclear. Given that familial recurrence of ASD is predicted by higher levels of ASD traits in the proband, the authors investigated associations between proband ASD traits and brain development among younger siblings. METHODS In a sample of 384 proband-sibling pairs (89 pairs concordant for ASD), the authors examined associations between proband ASD traits and sibling brain development at 6, 12, and 24 months in key MRI phenotypes: total cerebral volume, cortical surface area, extra-axial cerebrospinal fluid, occipital cortical surface area, and splenium white matter microstructure. Results from primary analyses led the authors to implement a data-driven approach using functional connectivity MRI at 6 months. RESULTS Greater levels of proband ASD traits were associated with larger total cerebral volume and surface area and larger surface area and reduced white matter integrity in components of the visual system in siblings who developed ASD. This aligned with weaker functional connectivity between several networks and the visual system among all siblings during infancy. CONCLUSIONS The findings provide evidence that specific early brain MRI phenotypes of ASD reflect quantitative variation in familial ASD traits. Multimodal anatomical and functional convergence on cortical regions, fiber pathways, and functional networks involved in visual processing suggest that inherited liability has a role in shaping the prodromal development of visual circuitry in ASD.
Collapse
Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Educational Psychology (Wolff), University of Minnesota, Minneapolis;Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Kevin Donovan
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Zoë Hawks
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Muhamed Talovic
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Elizabeth Forsen
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Jed T Elison
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Jason J Wolff
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Sun Hyung Kim
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Tomoyuki Nishino
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Savannah Davis
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Abraham Z Snyder
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Kelly N Botteron
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Annette M Estes
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Stephen R Dager
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Guido Gerig
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Robert McKinstry
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Juhi Pandey
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Robert T Schultz
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Tanya St John
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Lonnie Zwaigenbaum
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Alexandre Todorov
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Young Truong
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Martin Styner
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - John R Pruett
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - John N Constantino
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| | -
- Carolina Institute for Developmental Disabilities (Girault, Forsen, Shen, Hazlett, Piven), Department of Psychiatry (Girault, Shen, Kim, Hazlett, Styner, Piven), Department of Biostatistics (Donovan, Truong), and ; Department of Psychological and Brain Sciences (Hawks) and Department of Psychiatry (Talovic, Nishino, Davis, Botteron, Todorov, Pruett, Constantino), Washington University School of Medicine in St. Louis; Institute of Child Development (Elison) and Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Tex. (Swanson); Department of Radiology, Washington University in St. Louis (Snyder, McKinstry); Department of Speech and Hearing Science, University of Washington, Seattle (Estes, St. John); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Tandon School of Engineering, New York University, New York (Gerig); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum)
| |
Collapse
|
12
|
Shen MD, Swanson MR, Wolff JJ, Elison JT, Girault JB, Kim SH, Smith RG, Graves MM, Weisenfeld LAH, Flake L, MacIntyre L, Gross JL, Burrows CA, Fonov VS, Collins DL, Evans AC, Gerig G, McKinstry RC, Pandey J, St John T, Zwaigenbaum L, Estes AM, Dager SR, Schultz RT, Styner MA, Botteron KN, Hazlett HC, Piven J. Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy. Am J Psychiatry 2022; 179:562-572. [PMID: 35331012 PMCID: PMC9762548 DOI: 10.1176/appi.ajp.21090896] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Previous research has demonstrated that the amygdala is enlarged in children with autism spectrum disorder (ASD). However, the precise onset of this enlargement during infancy, how it relates to later diagnostic behaviors, whether the timing of enlargement in infancy is specific to the amygdala, and whether it is specific to ASD (or present in other neurodevelopmental disorders, such as fragile X syndrome) are all unknown. METHODS Longitudinal MRIs were acquired at 6-24 months of age in 29 infants with fragile X syndrome, 58 infants at high likelihood for ASD who were later diagnosed with ASD, 212 high-likelihood infants not diagnosed with ASD, and 109 control infants (1,099 total scans). RESULTS Infants who developed ASD had typically sized amygdala volumes at 6 months, but exhibited significantly faster amygdala growth between 6 and 24 months, such that by 12 months the ASD group had significantly larger amygdala volume (Cohen's d=0.56) compared with all other groups. Amygdala growth rate between 6 and 12 months was significantly associated with greater social deficits at 24 months when the infants were diagnosed with ASD. Infants with fragile X syndrome had a persistent and significantly enlarged caudate volume at all ages between 6 and 24 months (d=2.12), compared with all other groups, which was significantly associated with greater repetitive behaviors. CONCLUSIONS This is the first MRI study comparing fragile X syndrome and ASD in infancy, demonstrating strikingly different patterns of brain and behavior development. Fragile X syndrome-related changes were present from 6 months of age, whereas ASD-related changes unfolded over the first 2 years of life, starting with no detectable group differences at 6 months. Increased amygdala growth rate between 6 and 12 months occurs prior to social deficits and well before diagnosis. This gradual onset of brain and behavior changes in ASD, but not fragile X syndrome, suggests an age- and disorder-specific pattern of cascading brain changes preceding autism diagnosis.
Collapse
Affiliation(s)
- Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Meghan R Swanson
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jason J Wolff
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jed T Elison
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Sun Hyung Kim
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Rachel G Smith
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Michael M Graves
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Leigh Anne H Weisenfeld
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Lisa Flake
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Leigh MacIntyre
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Julia L Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Catherine A Burrows
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Vladimir S Fonov
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - D Louis Collins
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Alan C Evans
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Guido Gerig
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Robert C McKinstry
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Juhi Pandey
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Tanya St John
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Lonnie Zwaigenbaum
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Annette M Estes
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Stephen R Dager
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Robert T Schultz
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Martin A Styner
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Kelly N Botteron
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry (Shen, Girault, Kim, Smith, Graves, Weisenfeld, Gross, Styner, Hazlett, Piven) and UNC Neuroscience Center (Shen), University of North Carolina at Chapel Hill School of Medicine, Chapel Hill; Department of Educational Psychology (Wolff), Institute of Child Development (Elison), and Department of Pediatrics (Elison, Burrows), University of Minnesota, Minneapolis; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis (Flake, McKinstry, Botteron); Department of Radiology, University of Washington Medical Center, Seattle (Dager); Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia (Pandey, Schultz); Computer Science and Engineering, NYU Tandon School of Engineering, New York (Gerig); Montreal Neurological Institute, McGill University, Montreal (MacIntyre, Fonov, Collins, Evans); Department of Pediatrics, University of Alberta, Edmonton, Canada (Zwaigenbaum); Department of Speech and Hearing Science, University of Washington, Seattle (St. John, Estes); School of Behavioral and Brain Sciences, University of Texas at Dallas (Swanson)
| |
Collapse
|
13
|
Alex AM, Ruvio T, Xia K, Jha SC, Girault JB, Wang L, Li G, Shen D, Cornea E, Styner MA, Gilmore JH, Knickmeyer RC. Influence of gonadal steroids on cortical surface area in infancy. Cereb Cortex 2022; 32:3206-3223. [PMID: 34952542 PMCID: PMC9340392 DOI: 10.1093/cercor/bhab410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/27/2022] Open
Abstract
Sex differences in the human brain emerge as early as mid-gestation and have been linked to sex hormones, particularly testosterone. Here, we analyzed the influence of markers of early sex hormone exposure (polygenic risk score (PRS) for testosterone, salivary testosterone, number of CAG repeats, digit ratios, and PRS for estradiol) on the growth pattern of cortical surface area in a longitudinal cohort of 722 infants. We found PRS for testosterone and right-hand digit ratio to be significantly associated with surface area, but only in females. PRS for testosterone at the most stringent P value threshold was positively associated with surface area development over time. Higher right-hand digit ratio, which is indicative of low prenatal testosterone levels, was negatively related to surface area in females. The current work suggests that variation in testosterone levels during both the prenatal and postnatal period may contribute to cortical surface area development in female infants.
Collapse
Affiliation(s)
- Ann Mary Alex
- Neuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Tom Ruvio
- Neuroengineering Division, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Kai Xia
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dinggang Shen
- School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China
- Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rebecca C Knickmeyer
- Address correspondence to Rebecca C. Knickmeyer, Institute for Quantitative Health Science and Engineering, 775 Woodlot Dr, East Lansing, MI 48824, USA.
| |
Collapse
|
14
|
Short SJ, Jang DK, Steiner RJ, Stephens RL, Girault JB, Styner M, Gilmore JH. Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations. Front Neurosci 2022; 16:806268. [PMID: 35401073 PMCID: PMC8985548 DOI: 10.3389/fnins.2022.806268] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 01/27/2022] [Indexed: 01/14/2023] Open
Abstract
Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches. These methods generally lack the sensitivity and spatial specificity of more advanced functional analysis options that provide information about microstructural properties of white matter along fiber bundles. DTI studies of early postnatal brain development show that profound microstructural and maturational changes take place during the first two years of life. The pattern and rate of these changes vary greatly throughout the brain during this time compared to the rest of the life span. For this reason, appropriate image processing of infant MR imaging requires the use of age-specific reference atlases. This article provides an overview of the pre-processing, atlas building, and the fiber tractography procedures used to generate two atlas resources, one for neonates and one for 1- to 2-year-old populations. Via the UNC-NAMIC DTI Fiber Analysis Framework, our pediatric atlases provide the computational templates necessary for the fully automatic analysis of infant DTI data. To the best of our knowledge, these atlases are the first comprehensive population diffusion fiber atlases in early pediatric ages that are publicly available.
Collapse
Affiliation(s)
- Sarah J. Short
- Department of Educational Psychology, University of Wisconsin-Madison, Madison, WI, United States
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Dae Kun Jang
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States
| | - Rachel J. Steiner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Rebecca L. Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B. Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - John H. Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| |
Collapse
|
15
|
Xia K, Schmitt JE, Jha SC, Girault JB, Cornea E, Li G, Shen D, Styner M, Gilmore JH. Genetic Influences on Longitudinal Trajectories of Cortical Thickness and Surface Area during the First 2 Years of Life. Cereb Cortex 2022; 32:367-379. [PMID: 34231837 PMCID: PMC8897991 DOI: 10.1093/cercor/bhab213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 11/14/2022] Open
Abstract
Genetic influences on cortical thickness (CT) and surface area (SA) are known to vary across the life span. Little is known about the extent to which genetic factors influence CT and SA in infancy and toddlerhood. We performed the first longitudinal assessment of genetic influences on variation in CT and SA in 501 twins who were aged 0-2 years. We observed substantial additive genetic influences on both average CT (0.48 in neonates, 0.37 in 1-year-olds, and 0.44 in 2-year-olds) and total SA (0.59 in neonates, 0.74 in 1-year-olds, and 0.73 in 2-year-olds). In addition, we found strong heritability of the change in average CT (0.49) from neonates to 1-year-olds, but not from 1- to 2-year-olds. Moreover, we found strong genetic correlations for average CT (rG = 0.92) between 1- and 2-year-olds and strong genetic correlations for total SA across all timepoints (rG = 0.96 between neonates and 1-year-olds, rG = 1 between 1- and 2-year-olds). In addition, we found CT and SA are strongly genetic correlated at birth, but weaken over time. Overall, results suggest a dynamic genetic relationship between CT and SA during first 2 years of life and provide novel insights into how genetic influences shape the cortical structure during early brain development.
Collapse
Affiliation(s)
- Kai Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - J Eric Schmitt
- Brain Behavior Laboratory, Department of Psychiatry, Neuropsychiatry Section, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shaili C Jha
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - Gang Li
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7320, USA
| | - Dinggang Shen
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7320, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC 27599-7160, USA
| |
Collapse
|
16
|
Tunç B, Pandey J, John TS, Meera SS, Maldarelli JE, Zwaigenbaum L, Hazlett HC, Dager SR, Botteron KN, Girault JB, McKinstry RC, Verma R, Elison JT, Pruett JR, Piven J, Estes AM, Schultz RT. Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach. J Child Psychol Psychiatry 2021; 62:1236-1245. [PMID: 33826159 PMCID: PMC8601115 DOI: 10.1111/jcpp.13406] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/06/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis. METHODS We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary. RESULTS Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen's d = .52) and at 36 months (d = .75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen's d = .06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change. CONCLUSIONS Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses.
Collapse
Affiliation(s)
- Birkan Tunç
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.,Correspondence to: Birkan Tunç, PhD,
| | - Juhi Pandey
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tanya St. John
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shoba S. Meera
- Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jennifer E. Maldarelli
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Heather C. Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Stephen R. Dager
- Department of Radiology and Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Kelly N. Botteron
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jessica B. Girault
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ragini Verma
- DiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, , NC 27599, USA
| | - Annette M. Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA.,Department of Psychology, University of Washington, Seattle, WA 98195, USA
| | - Robert T. Schultz
- Center for Autism Research, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | |
Collapse
|
17
|
Girault JB, Cornea E, Goldman BD, Jha SC, Murphy VA, Li G, Wang L, Shen D, Knickmeyer RC, Styner M, Gilmore JH. Cortical Structure and Cognition in Infants and Toddlers. Cereb Cortex 2021; 30:786-800. [PMID: 31365070 DOI: 10.1093/cercor/bhz126] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 05/21/2019] [Accepted: 05/22/2019] [Indexed: 12/21/2022] Open
Abstract
Cortical structure has been consistently related to cognitive abilities in children and adults, yet we know little about how the cortex develops to support emergent cognition in infancy and toddlerhood when cortical thickness (CT) and surface area (SA) are maturing rapidly. In this report, we assessed how regional and global measures of CT and SA in a sample (N = 487) of healthy neonates, 1-year-olds, and 2-year-olds related to motor, language, visual reception, and general cognitive ability. We report novel findings that thicker cortices at ages 1 and 2 and larger SA at birth, age 1, and age 2 confer a cognitive advantage in infancy and toddlerhood. While several expected brain-cognition relationships were observed, overlapping cortical regions were also implicated across cognitive domains, suggesting that infancy marks a period of plasticity and refinement in cortical structure to support burgeoning motor, language, and cognitive abilities. CT may be a particularly important morphological indicator of ability, but its impact on cognition is relatively weak when compared with gestational age and maternal education. Findings suggest that prenatal and early postnatal cortical developments are important for cognition in infants and toddlers but should be considered in relation to other child and demographic factors.
Collapse
Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Barbara D Goldman
- Department of Psychology & Neuroscience and FPG Child Development Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Veronica A Murphy
- Neuroscience Curriculum, University of North Carolina, Chapel Hill, NC, USA
| | - Gang Li
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Li Wang
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dinggang Shen
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C Knickmeyer
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.,Department of Pediatrics and Human Development, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.,Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| |
Collapse
|
18
|
Peng L, Lin L, Lin Y, Chen YW, Mo Z, Vlasova RM, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Schultz RT, Hazlett HC, Piven J, Burrows CA, Grzadzinski RL, Girault JB, Shen MD, Styner MA. Longitudinal Prediction of Infant MR Images With Multi-Contrast Perceptual Adversarial Learning. Front Neurosci 2021; 15:653213. [PMID: 34566556 PMCID: PMC8458966 DOI: 10.3389/fnins.2021.653213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 08/09/2021] [Indexed: 11/28/2022] Open
Abstract
The infant brain undergoes a remarkable period of neural development that is crucial for the development of cognitive and behavioral capacities (Hasegawa et al., 2018). Longitudinal magnetic resonance imaging (MRI) is able to characterize the developmental trajectories and is critical in neuroimaging studies of early brain development. However, missing data at different time points is an unavoidable occurrence in longitudinal studies owing to participant attrition and scan failure. Compared to dropping incomplete data, data imputation is considered a better solution to address such missing data in order to preserve all available samples. In this paper, we adapt generative adversarial networks (GAN) to a new application: longitudinal image prediction of structural MRI in the first year of life. In contrast to existing medical image-to-image translation applications of GANs, where inputs and outputs share a very close anatomical structure, our task is more challenging as brain size, shape and tissue contrast vary significantly between the input data and the predicted data. Several improvements over existing GAN approaches are proposed to address these challenges in our task. To enhance the realism, crispness, and accuracy of the predicted images, we incorporate both a traditional voxel-wise reconstruction loss as well as a perceptual loss term into the adversarial learning scheme. As the differing contrast changes in T1w and T2w MR images in the first year of life, we incorporate multi-contrast images leading to our proposed 3D multi-contrast perceptual adversarial network (MPGAN). Extensive evaluations are performed to assess the qualityand fidelity of the predicted images, including qualitative and quantitative assessments of the image appearance, as well as quantitative assessment on two segmentation tasks. Our experimental results show that our MPGAN is an effective solution for longitudinal MR image data imputation in the infant brain. We further apply our predicted/imputed images to two practical tasks, a regression task and a classification task, in order to highlight the enhanced task-related performance following image imputation. The results show that the model performance in both tasks is improved by including the additional imputed data, demonstrating the usability of the predicted images generated from our approach.
Collapse
Affiliation(s)
- Liying Peng
- Department of Computer Science, Zhejiang University, Hangzhou, China
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Lanfen Lin
- Department of Computer Science, Zhejiang University, Hangzhou, China
| | - Yusen Lin
- Department of Electrical and Computer Engineering Department, University of Maryland, College Park, MD, United States
| | - Yen-wei Chen
- Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan
| | - Zhanhao Mo
- Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Roza M. Vlasova
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Sun Hyung Kim
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Alan C. Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stephen R. Dager
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Annette M. Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Kelly N. Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, United States
| | - Robert T. Schultz
- Center for Autism Research, Department of Pediatrics, Children's Hospital of Philadelphia, and University of Pennsylvania, Philadelphia, PA, United States
| | - Heather C. Hazlett
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Piven
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Catherine A. Burrows
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States
| | - Rebecca L. Grzadzinski
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B. Girault
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Mark D. Shen
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
- UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Martin A. Styner
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
- *Correspondence: Martin A. Styner
| |
Collapse
|
19
|
Stephens RL, Langworthy BW, Short SJ, Girault JB, Styner MA, Gilmore JH. White Matter Development from Birth to 6 Years of Age: A Longitudinal Study. Cereb Cortex 2020; 30:6152-6168. [PMID: 32591808 DOI: 10.1093/cercor/bhaa170] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 04/30/2020] [Accepted: 05/22/2020] [Indexed: 11/13/2022] Open
Abstract
Human white matter development in the first years of life is rapid, setting the foundation for later development. Microstructural properties of white matter are linked to many behavioral and psychiatric outcomes; however, little is known about when in development individual differences in white matter microstructure are established. The aim of the current study is to characterize longitudinal development of white matter microstructure from birth through 6 years to determine when in development individual differences are established. Two hundred and twenty-four children underwent diffusion-weighted imaging after birth and at 1, 2, 4, and 6 years. Diffusion tensor imaging data were computed for 20 white matter tracts (9 left-right corresponding tracts and 2 commissural tracts), with tract-based measures of fractional anisotropy and axial and radial diffusivity. Microstructural maturation between birth and 1 year are much greater than subsequent changes. Further, by 1 year, individual differences in tract average values are consistently predictive of the respective 6-year values, explaining, on average, 40% of the variance in 6-year microstructure. Results provide further evidence of the importance of the first year of life with regard to white matter development, with potential implications for informing early intervention efforts that target specific sensitive periods.
Collapse
Affiliation(s)
- Rebecca L Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Benjamin W Langworthy
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sarah J Short
- Department of Educational Psychology, Center for Healthy Minds, University of Wisconsin, Madison, Madison, WI 53703, USA
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Computer Science, 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
| |
Collapse
|
20
|
Mostapha M, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Pizer SM, Schultz RT, Hazlett HC, Piven J, Girault JB, Shen MD, Styner MA. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Front Neurosci 2020; 14:561556. [PMID: 33132824 PMCID: PMC7561674 DOI: 10.3389/fnins.2020.561556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/21/2020] [Indexed: 12/21/2022] Open
Abstract
Cerebrospinal fluid (CSF) plays an essential role in early postnatal brain development. Extra-axial CSF (EA-CSF) volume, which is characterized by CSF in the subarachnoid space surrounding the brain, is a promising marker in the early detection of young children at risk for neurodevelopmental disorders. Previous studies have focused on global EA-CSF volume across the entire dorsal extent of the brain, and not regionally-specific EA-CSF measurements, because no tools were previously available for extracting local EA-CSF measures suitable for localized cortical surface analysis. In this paper, we propose a novel framework for the localized, cortical surface-based analysis of EA-CSF. The proposed processing framework combines probabilistic brain tissue segmentation, cortical surface reconstruction, and streamline-based local EA-CSF quantification. The quantitative analysis of local EA-CSF was applied to a dataset of typically developing infants with longitudinal MRI scans from 6 to 24 months of age. There was a high degree of consistency in the spatial patterns of local EA-CSF across age using the proposed methods. Statistical analysis of local EA-CSF revealed several novel findings: several regions of the cerebral cortex showed reductions in EA-CSF from 6 to 24 months of age, and specific regions showed higher local EA-CSF in males compared to females. These age-, sex-, and anatomically-specific patterns of local EA-CSF would not have been observed if only a global EA-CSF measure were utilized. The proposed methods are integrated into a freely available, open-source, cross-platform, user-friendly software tool, allowing neuroimaging labs to quantify local extra-axial CSF in their neuroimaging studies to investigate its role in typical and atypical brain development.
Collapse
Affiliation(s)
- Mahmoud Mostapha
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Sun Hyung Kim
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guido Gerig
- Department of Computer Science and Engineering, New York University, New York, NY, United States
| | - Stephen M Pizer
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States
| | - Robert T Schultz
- Department of Pediatrics, Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Heather C Hazlett
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Joseph Piven
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Jessica B Girault
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Mark D Shen
- Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.,Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.,UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Martin A Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States.,Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States
| |
Collapse
|
21
|
Gilmore JH, Langworthy B, Girault JB, Fine J, Jha SC, Kim SH, Cornea E, Styner M. Individual Variation of Human Cortical Structure Is Established in the First Year of Life. Biol Psychiatry Cogn Neurosci Neuroimaging 2020; 5:971-980. [PMID: 32741702 DOI: 10.1016/j.bpsc.2020.05.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 04/28/2020] [Accepted: 05/21/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND Individual differences in cortical gray matter (GM) structure are associated with cognitive function and psychiatric disorders with developmental origins. Identifying when individual differences in cortical structure are established in childhood is critical for understanding the timing of abnormal cortical development associated with neuropsychiatric disorders. METHODS We studied the development of cortical GM and white matter volume, cortical thickness, and surface area using structural magnetic resonance imaging in two unique cohorts of singleton (121 male and 131 female) and twin (99 male and 83 female) children imaged longitudinally from birth to 6 years. RESULTS Cortical GM volume increases rapidly in the first year of life, with more gradual growth thereafter. Between ages 1 and 6 years, total surface area expands 29%, while average cortical thickness decreases about 3.5%. In both cohorts, a large portion of individual variation in cortical GM volume (81%-87%) and total surface area (73%-83%) at age 6 years is present by age 1 year. Regional heterogeneity of cortical thickness observed at age 6 is largely in place at age 1. CONCLUSIONS These findings indicate that individual differences in cortical GM structure are largely established by the end of the first year of life, following a period of rapid postnatal GM growth. This suggests that alterations in GM structure associated with psychiatric disorders with developmental origins may largely arise in the first year of life and that interventions to normalize or mitigate abnormal GM development may need to be targeted to very early childhood.
Collapse
Affiliation(s)
- John H Gilmore
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
| | - Benjamin Langworthy
- Department of Biostatistics, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities, Chapel Hill, North Carolina
| | - Jason Fine
- Department of Biostatistics, UNC Gillings School of Global Public Health, Chapel Hill, North Carolina
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Sun Hyung Kim
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Martin Styner
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| |
Collapse
|
22
|
Jha SC, Xia K, Ahn M, Girault JB, Li G, Wang L, Shen D, Zou F, Zhu H, Styner M, Gilmore JH, Knickmeyer RC. Environmental Influences on Infant Cortical Thickness and Surface Area. Cereb Cortex 2020; 29:1139-1149. [PMID: 29420697 DOI: 10.1093/cercor/bhy020] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Indexed: 01/07/2023] Open
Abstract
Cortical thickness (CT) and surface area (SA) vary widely between individuals and are associated with intellectual ability and risk for various psychiatric and neurodevelopmental conditions. Factors influencing this variability remain poorly understood, but the radial unit hypothesis, as well as the more recent supragranular cortex expansion hypothesis, suggests that prenatal and perinatal influences may be particularly important. In this report, we examine the impact of 17 major demographic and obstetric history variables on interindividual variation in CT and SA in a unique sample of 805 neonates who received MRI scans of the brain around 2 weeks of age. Birth weight, postnatal age at MRI, gestational age at birth, and sex emerged as important predictors of SA. Postnatal age at MRI, paternal education, and maternal ethnicity emerged as important predictors of CT. These findings suggest that individual variation in infant CT and SA is explained by different sets of environmental factors with neonatal SA more strongly influenced by sex and obstetric history and CT more strongly influenced by socioeconomic and ethnic disparities. Findings raise the possibility that interventions aimed at reducing disparities and improving obstetric outcomes may alter prenatal/perinatal cortical development.
Collapse
Affiliation(s)
- Shaili C Jha
- Curriculum in Neuroscience, University of North Carolina, Chapel Hill, NC, USA
| | - Kai Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Mihye Ahn
- Department of Mathematics and Statistics, University of Nevada, Reno, NV, USA
| | - Jessica B Girault
- Curriculum in Neuroscience, University of North Carolina, Chapel Hill, NC, USA
| | - Gang Li
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Li Wang
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dinggang Shen
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Fei Zou
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.,Department of Biostatistics, University of Texas, MD Andersen Cancer Center, Houston, TX, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | | |
Collapse
|
23
|
Girault JB, Swanson MR, Meera SS, Grzadzinski RL, Shen MD, Burrows CA, Wolff JJ, Pandey J, John TS, Estes A, Zwaigenbaum L, Botteron KN, Hazlett HC, Dager SR, Schultz RT, Constantino JN, Piven J. Quantitative trait variation in ASD probands and toddler sibling outcomes at 24 months. J Neurodev Disord 2020; 12:5. [PMID: 32024459 PMCID: PMC7003330 DOI: 10.1186/s11689-020-9308-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/21/2020] [Indexed: 12/28/2022] Open
Abstract
Background Younger siblings of children with autism spectrum disorder (ASD) are at increased likelihood of receiving an ASD diagnosis and exhibiting other developmental concerns. It is unknown how quantitative variation in ASD traits and broader developmental domains in older siblings with ASD (probands) may inform outcomes in their younger siblings. Methods Participants included 385 pairs of toddler siblings and probands from the Infant Brain Imaging Study. ASD probands (mean age 5.5 years, range 1.7 to 15.5 years) were phenotyped using the Autism Diagnostic Interview-Revised (ADI-R), the Social Communication Questionnaire (SCQ), and the Vineland Adaptive Behavior Scales, Second Edition (VABS-II). Siblings were assessed using the ADI-R, VABS-II, Mullen Scales of Early Learning (MSEL), and Autism Diagnostic Observation Schedule (ADOS) and received a clinical best estimate diagnosis at 24 months using DSM-IV-TR criteria (n = 89 concordant for ASD; n = 296 discordant). We addressed two aims: (1) to determine whether proband characteristics are predictive of recurrence in siblings and (2) to assess associations between proband traits and sibling dimensional outcomes at 24 months. Results Regarding recurrence risk, proband SCQ scores were found to significantly predict sibling 24-month diagnostic outcome (OR for a 1-point increase in SCQ = 1.06; 95% CI = 1.01, 1.12). Regarding quantitative trait associations, we found no significant correlations in ASD traits among proband-sibling pairs. However, quantitative variation in proband adaptive behavior, communication, and expressive and receptive language was significantly associated with sibling outcomes in the same domains; proband scores explained 9–18% of the variation in cognition and behavior in siblings with ASD. Receptive language was particularly strongly associated in concordant pairs (ICC = 0.50, p < 0.001). Conclusions Proband ASD symptomology, indexed by the SCQ, is a predictor of familial ASD recurrence risk. While quantitative variation in social communication and restricted and repetitive behavior were not associated among sibling pairs, standardized ratings of proband language and communication explained significant variation in the same domains in the sibling at 24 months, especially among toddlers with an ASD diagnosis. These data suggest that proband characteristics can alert clinicians to areas of developmental concern for young children with familial risk for ASD.
Collapse
Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.
| | - Meghan R Swanson
- Department of Psychology, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Shoba S Meera
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rebecca L Grzadzinski
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Tanya St John
- Department of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Annette Estes
- Department of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | | | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John N Constantino
- Division of Child Psychiatry, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Campus Box 3376, Chapel Hill, NC, 27599, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | |
Collapse
|
24
|
Abstract
Autism spectrum disorder (ASD) emerges during early childhood and is marked by a relatively narrow window in which infants transition from exhibiting normative behavioral profiles to displaying the defining features of the ASD phenotype in toddlerhood. Prospective brain imaging studies in infants at high familial risk for autism have revealed important insights into the neurobiology and developmental unfolding of ASD. In this article, we review neuroimaging studies of brain development in ASD from birth through toddlerhood, relate these findings to candidate neurobiological mechanisms, and discuss implications for future research and translation to clinical practice.
Collapse
Affiliation(s)
- Jessica B Girault
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill School of Medicine, 101 Renee Lynne Court, Chapel Hill, NC 27599, USA.
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel Hill School of Medicine, 101 Renee Lynne Court, Chapel Hill, NC 27599, USA
| |
Collapse
|
25
|
Girault JB, Munsell BC, Puechmaille D, Goldman BD, Prieto JC, Styner M, Gilmore JH. White matter connectomes at birth accurately predict cognitive abilities at age 2. Neuroimage 2019; 192:145-155. [PMID: 30825656 DOI: 10.1016/j.neuroimage.2019.02.060] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 02/18/2019] [Accepted: 02/22/2019] [Indexed: 12/14/2022] Open
Abstract
Cognitive ability is an important predictor of mental health outcomes that is influenced by neurodevelopment. Evidence suggests that the foundational wiring of the human brain is in place by birth, and that the white matter (WM) connectome supports developing brain function. It is unknown, however, how the WM connectome at birth supports emergent cognition. In this study, a deep learning model was trained using cross-validation to classify full-term infants (n = 75) as scoring above or below the median at age 2 using WM connectomes generated from diffusion weighted magnetic resonance images at birth. Results from this model were used to predict individual cognitive scores. We additionally identified WM connections important for classification. The model was also evaluated in a separate set of preterm infants (n = 37) scanned at term-age equivalent. Findings revealed that WM connectomes at birth predicted 2-year cognitive score group with high accuracy in both full-term (89.5%) and preterm (83.8%) infants. Scores predicted by the model were strongly correlated with actual scores (r = 0.98 for full-term and r = 0.96 for preterm). Connections within the frontal lobe, and between the frontal lobe and other brain areas were found to be important for classification. This work suggests that WM connectomes at birth can accurately predict a child's 2-year cognitive group and individual score in full-term and preterm infants. The WM connectome at birth appears to be a useful neuroimaging biomarker of subsequent cognitive development that deserves further study.
Collapse
Affiliation(s)
- Jessica B Girault
- Department of Psychiatry, UNC Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Brent C Munsell
- Department of Computer Science, College of Charleston, Charleston, SC, 29424, USA
| | | | - Barbara D Goldman
- Department of Psychology & Neuroscience, UNC Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Juan C Prieto
- Department of Psychiatry, UNC Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Martin Styner
- Department of Psychiatry, UNC Chapel Hill, Chapel Hill, NC, 27599, USA
| | - John H Gilmore
- Department of Psychiatry, UNC Chapel Hill, Chapel Hill, NC, 27599, USA.
| |
Collapse
|
26
|
Girault JB, Cornea E, Goldman BD, Knickmeyer RC, Styner M, Gilmore JH. White matter microstructural development and cognitive ability in the first 2 years of life. Hum Brain Mapp 2018; 40:1195-1210. [PMID: 30353962 DOI: 10.1002/hbm.24439] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 09/27/2018] [Accepted: 10/12/2018] [Indexed: 12/13/2022] Open
Abstract
White matter (WM) integrity has been related to cognitive ability in adults and children, but it remains largely unknown how WM maturation in early life supports emergent cognition. The associations between tract-based measures of fractional anisotropy (FA) and axial and radial diffusivity (AD, RD) shortly after birth, at age 1, and at age 2 and cognitive measures at 1 and 2 years were investigated in 447 healthy infants. We found that generally higher FA and lower AD and RD across many WM tracts in the first year of life were associated with better performance on measures of general cognitive ability, motor, language, and visual reception skills at ages 1 and 2, suggesting an important role for the overall organization, myelination, and microstructural properties of fiber pathways in emergent cognition. RD in particular was consistently related to ability, and protracted development of RD from ages 1 to 2 years in several tracts was associated with higher cognitive scores and better language performance, suggesting prolonged plasticity may confer cognitive benefits during the second year of life. However, we also found that cognition at age 2 was weakly associated with WM properties across infancy in comparison to child and demographic factors including gestational age and maternal education. Our findings suggest that early postnatal WM integrity across the brain is important for infant cognition, though its role in cognitive development should be considered alongside child and demographic factors.
Collapse
Affiliation(s)
- Jessica B Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Barbara D Goldman
- Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Rebecca C Knickmeyer
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Computer Science, 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
| |
Collapse
|
27
|
Jha SC, Xia K, Schmitt JE, Ahn M, Girault JB, Murphy VA, Li G, Wang L, Shen D, Zou F, Zhu H, Styner M, Knickmeyer RC, Gilmore JH. Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp 2018; 39:4998-5013. [PMID: 30144223 DOI: 10.1002/hbm.24340] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 07/18/2018] [Accepted: 07/20/2018] [Indexed: 01/07/2023] Open
Abstract
Genetic and environmental influences on cortical thickness (CT) and surface area (SA) are thought to vary in a complex and dynamic way across the lifespan. It has been established that CT and SA are genetically distinct in older children, adolescents, and adults, and that heritability varies across cortical regions. Very little, however, is known about how genetic and environmental factors influence infant CT and SA. Using structural MRI, we performed the first assessment of genetic and environmental influences on normal variation of SA and CT in 360 twin neonates. We observed strong and significant additive genetic influences on total SA (a2 = 0.78) and small and nonsignificant genetic influences on average CT (a2 = 0.29). Moreover, we found significant genetic overlap (genetic correlation = 0.65) between these global cortical measures. Regionally, there were minimal genetic influences across the cortex for both CT and SA measures and no distinct patterns of genetic regionalization. Overall, outcomes from this study suggest a dynamic relationship between CT and SA during the neonatal period and provide novel insights into how genetic influences shape cortical structure during early development.
Collapse
Affiliation(s)
- Shaili C Jha
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Kai Xia
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - James Eric Schmitt
- Brain Behavior Laboratory, Departments of Radiology and Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mihye Ahn
- Department of Mathematics and Statistics, University of Nevada, Reno, Nevada
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Veronica A Murphy
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina.,Curriculum in Neuroscience, University of North Carolina, Chapel Hill, North Carolina
| | - Gang Li
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, North Carolina
| | - Li Wang
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, North Carolina
| | - Dinggang Shen
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, North Carolina
| | - Fei Zou
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina.,Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina.,Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina
| | - Rebecca C Knickmeyer
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| |
Collapse
|
28
|
Lyu I, Kim SH, Girault JB, Gilmore JH, Styner MA. A cortical shape-adaptive approach to local gyrification index. Med Image Anal 2018; 48:244-258. [PMID: 29990689 DOI: 10.1016/j.media.2018.06.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 04/17/2018] [Accepted: 06/26/2018] [Indexed: 11/16/2022]
Abstract
The amount of cortical folding, or gyrification, is typically measured within local cortical regions covered by an equidistant geodesic or nearest neighborhood-ring kernel. However, without careful design, such a kernel can easily cover multiple sulcal and gyral regions that may not be functionally related. Furthermore, this can result in smoothing out details of cortical folding, which consequently blurs local gyrification measurements. In this paper, we propose a novel kernel shape to locally quantify cortical gyrification within sulcal and gyral regions. We adapt wavefront propagation to generate a spatially varying kernel shape that encodes cortical folding patterns: neighboring gyral crowns, sulcal fundi, and sulcal banks. For this purpose, we perform anisotropic wavefront propagation that runs fast along gyral crowns and sulcal fundi by solving a static Hamilton-Jacobi partial differential equation. The resulting kernel adaptively elongates along gyral crowns and sulcal fundi, while keeping a uniform shape over flat regions like sulcal banks. We then measure local gyrification within the proposed spatially varying kernel. The experimental results show that the proposed kernel-based gyrification measure achieves a higher reproducibility than the conventional method in a multi-scan dataset. We further apply the proposed kernel to a brain development study in the early postnatal phase from neonate to 2 years of age. In this study we find that our kernel yields both positive and negative associations of gyrification with age, whereas the conventional method only captures positive associations. In general, our method yields sharper and more detailed statistical maps that associate cortical folding with sex and gestational age.
Collapse
Affiliation(s)
- Ilwoo Lyu
- Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Sun Hyung Kim
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jessica B Girault
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - John H Gilmore
- Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Martin A Styner
- Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Psychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| |
Collapse
|
29
|
Girault JB, Langworthy BW, Goldman BD, Stephens RL, Cornea E, Reznick JS, Fine J, Gilmore JH. The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6. Intelligence 2018; 68:58-65. [PMID: 30270948 DOI: 10.1016/j.intell.2018.03.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Intelligence is an important individual difference factor related to mental health, academic achievement, and life success, yet there is a lack of research into its early cognitive predictors. This study investigated the predictive value of infant developmental assessment scores for school-age intelligence in a large, heterogeneous sample of single- and twin-born subjects (N = 521). We found that Early Learning Composite (ELC) scores from the Mullen Scales of Early Learning have similar predictive power to that of other infant tests. ELC scores at age 2 were predictive of Stanford-Binet abbreviated intelligence (ABIQ) scores at age 6 (r = 0.46) even after controlling for sex, gestation number, and parental education. ELC scores at age 1 were less predictive of 6-year ABIQ scores (r = 0.17). When the sample was split to test robustness of findings, we found that results from the full sample replicated in a subset of children born at ≥32 weeks gestation without birth complications (n = 405), though infant cognitive scores did not predict IQ in a subset born very prematurely or with birth complications (n = 116). Scores at age 2 in twins and singletons showed similar predictive ability for scores at age 6, though twins had particularly high correlations between ELC at age 1 and ABIQ at age 6.
Collapse
Affiliation(s)
- Jessica B Girault
- Department of Psychiatry, Campus Box #7160, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Center for Developmental Science, Campus Box # 8115, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Benjamin W Langworthy
- Department of Biostatistics, Campus Box # 7400, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Barbara D Goldman
- Frank Porter Graham Child Development Institute, Campus Box # 8180, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Psychology and Neuroscience, Campus Box # 3270, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Rebecca L Stephens
- Department of Psychiatry, Campus Box #7160, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Emil Cornea
- Department of Psychiatry, Campus Box #7160, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - J Steven Reznick
- Department of Psychology and Neuroscience, Campus Box # 3270, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Jason Fine
- Department of Biostatistics, Campus Box # 7400, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - John H Gilmore
- Department of Psychiatry, Campus Box #7160, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| |
Collapse
|
30
|
Stephens RL, Langworthy B, Short SJ, Goldman BD, Girault JB, Fine JP, Reznick JS, Gilmore JH. Verbal and nonverbal predictors of executive function in early childhood. J Cogn Dev 2018; 19:182-200. [PMID: 30333714 PMCID: PMC6186452 DOI: 10.1080/15248372.2018.1439493] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The study of executive function (EF) has become increasingly popular in multiple areas of research. A wealth of evidence has supported the value of EF in shaping notable outcomes across typical and atypical development; however, little evidence has supported the cognitive contributors to early EF development. The current study used data from a large longitudinal sample of healthy children to investigate the differential influence of verbal and nonverbal cognition on later EF. Participants were assessed at 2 years of age using the Mullen Scales of Early Learning, and Mullen scores were used to calculate nonverbal and verbal developmental quotients. Executive function was measured at 6 years using assessments from the Stanford-Binet, Cambridge Neuropsychological Test Automated Battery, and the Behavior Rating Inventory of Executive Function. Results suggested that early nonverbal cognition was a better predictor of 6-year EF as measured by task-based laboratory assessments, whereas verbal cognition was a better predictor of parent-reported EF. Findings are discussed in regard to EF development and characteristics of EF measurement.
Collapse
|