Autism spectrum disorder (ASD) has a common set of diagnostic features that nonetheless vary substantially in severity in different individuals. There are also many co-morbid features ranging from developmental delay to epilepsy to gastrointestinal disturbances that further complicate the phenotypes of ASD. To discover and integrate multilevel phenotypic information that would allow definition of biological subtypes and potentially predict and facilitate optimal outcomes, the MIND Institute initiated the Autism Phenome Project (APP) in 2006. To date, behavioral, medical, immunological and magnetic resonance imaging (MRI) data have been acquired on 279 children (189 ASD, 90 typically developing controls - TD) at 2-3.5 years of age. Of these, 210 (134 ASD, 76 TD) have received a second MRI scan one year later and thus far 142 (83 ASD, 59 TD) have received a third scan at 5-6.5 years of age. This program of research has identified a number of neurophenotypes of ASD related to abnormal amygdala growth and abnormal brain enlargement. But, do these brain differences really matter? An overarching goal of the proposed research is to determine whether identified neural phenotypes persist into middle childhood and are associated with the quality and severity of core and co-morbid behavioral impairments. A unifying hypothesis is that different morphometric patterns will be associated with clinical features and with the quality of behavioral outcome. We are particularly interested in whether there are different patterns of brain organization that may predict optimal behavioral outcomes in ASD. Using recently developed behavioral modification procedures that yield high quality MRI images from children at all severity levels of ASD, we propose to obtain an additional MRI time point and conduct extensive behavioral assessment of children enrolled in the APP when they reach 9-11 years of age. Based on previous return rates, we estimate that 195 children will participate. We will also recruit 100 new subjects into the APP program. This research would allow an unprecedented exploration of the relationship between brain development, behavioral abnormalities, and cognitive and functional outcome in children transitioning from early to middle childhood. We propose: 1. To evaluate brain and behavioral consequences of three patterns of early amygdala growth; 2. To evaluate brain and behavioral consequences of abnormal brain enlargement in early childhood; and 3. To identify a pattern of brain organization that is associated with optimal behavioral outcome. These projects are consistent with Objectives 1 and 2 of the NIMH Strategic plan and address the 2009 IACC Strategic Plan crosscutting themes of Heterogeneity and Lifespan Perspective. They also contribute to the still unmet research opportunity for Multi-disciplinary, longitudinal, biobehavioral studies of children, youths, and adults beginning during infancy that characterize neurodevelopmental and medical developmental trajectories across the multiple axes of ASD phenotype.... An important goal is to identify children who will need additional or specialized help to achieve the highest quality of life.

Public Health Relevance

By studying nearly 300 children in the MIND Institute's Autism Phenome Project on three occasions from 3 to 6 years of age, we have discovered that children with autism spectrum disorder (ASD) have various altered patterns of brain development. The current application seeks funding to bring the children back for another visit when they are 9-11 years old to see if certain patterns of brain development are useful in predicting which children have more serious symptoms of ASD, have higher levels of cognitive and emotional problems or, conversely, have optimal behavioral outcomes. One important goal is to find those children who will need additional or specialized help in order to achieve the highest quality of life.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH103371-04
Application #
9422719
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Gilotty, Lisa
Project Start
2015-04-01
Project End
2020-01-31
Budget Start
2018-02-01
Budget End
2019-01-31
Support Year
4
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of California Davis
Department
Psychiatry
Type
Schools of Medicine
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Shen, Mark D; Nordahl, Christine W; Li, Deana D et al. (2018) Extra-axial cerebrospinal fluid in high-risk and normal-risk children with autism aged 2-4 years: a case-control study. Lancet Psychiatry 5:895-904
Xia, Zhichao; Zhang, Linjun; Hoeft, Fumiko et al. (2018) Neural Correlates of Oral Word Reading, Silent Reading Comprehension, and Cognitive Subcomponents. Int J Behav Dev 42:342-356
Xia, Zhichao; Hancock, Roeland; Hoeft, Fumiko (2017) Neurobiological bases of reading disorder Part I: Etiological investigations. Lang Linguist Compass 11:
Amaral, David G; Li, Deana; Libero, Lauren et al. (2017) In pursuit of neurophenotypes: The consequences of having autism and a big brain. Autism Res 10:711-722
Black, Jessica M; Xia, Zhichao; Hoeft, Fumiko (2017) Neurobiological Bases of Reading Disorder Part II: The Importance of Developmental Considerations in Typical and Atypical Reading. Lang Linguist Compass 11:
Naigles, Letitia R; Johnson, Ryan; Mastergeorge, Ann et al. (2017) Neural correlates of language variability in preschool-aged boys with autism spectrum disorder. Autism Res 10:1107-1119
Libero, Lauren E; Nordahl, Christine W; Li, Deana D et al. (2016) Persistence of megalencephaly in a subgroup of young boys with autism spectrum disorder. Autism Res 9:1169-1182
Vandermosten, Maaike; Hoeft, Fumiko; Norton, Elizabeth S (2016) Integrating MRI brain imaging studies of pre-reading children with current theories of developmental dyslexia: A review and quantitative meta-analysis. Curr Opin Behav Sci 10:155-161
Ohta, Haruhisa; Nordahl, Christine Wu; Iosif, Ana-Maria et al. (2016) Increased Surface Area, but not Cortical Thickness, in a Subset of Young Boys With Autism Spectrum Disorder. Autism Res 9:232-48
Nordahl, Christine Wu; Mello, Melissa; Shen, Audrey M et al. (2016) Methods for acquiring MRI data in children with autism spectrum disorder and intellectual impairment without the use of sedation. J Neurodev Disord 8:20

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