A voxel-wise assessment of growth differences in infants developing autism spectrum disorder

for the IBIS Network

Research output: Contribution to journalArticlepeer-review

Abstract

Autism Spectrum Disorder (ASD) is a phenotypically and etiologically heterogeneous developmental disorder typically diagnosed around 4 years of age. The development of biomarkers to help in earlier, presymptomatic diagnosis could facilitate earlier identification and therefore earlier intervention and may lead to better outcomes, as well as providing information to help better understand the underlying mechanisms of ASD. In this study, magnetic resonance imaging (MRI) scans of infants at high familial risk, from the Infant Brain Imaging Study (IBIS), at 6, 12 and 24 months of age were included in a morphological analysis, fitting a mixed-effects model to Tensor Based Morphometry (TBM) results to obtain voxel-wise growth trajectories. Subjects were grouped by familial risk and clinical diagnosis at 2 years of age. Several regions, including the posterior cingulate gyrus, the cingulum, the fusiform gyrus, and the precentral gyrus, showed a significant effect for the interaction of group and age associated with ASD, either as an increased or a decreased growth rate of the cerebrum. In general, our results showed increased growth rate within white matter with decreased growth rate found mostly in grey matter. Overall, the regions showing increased growth rate were larger and more numerous than those with decreased growth rate. These results detail, at the voxel level, differences in brain growth trajectories in ASD during the first years of life, previously reported in terms of overall brain volume and surface area.

Original languageEnglish (US)
Article number102551
JournalNeuroImage: Clinical
Volume29
DOIs
StatePublished - Jan 2021

Bibliographical note

Funding Information:
The Infant Brain Imaging Study (IBIS) Network is an NIH funded Autism Center of Excellence project and consists of a consortium of 8 universities in the U.S. and Canada. Clinical Sites: University of North Carolina: J. Piven (IBIS Network PI), H.C. Hazlett, C. Chappell; University of Washington: S. Dager, A. Estes, D. Shaw; Washington University: K. Botteron, R. McKinstry, J. Constantino, J. Pruett; Children's Hospital of Philadelphia: R. Schultz, J. Pandey, S. Paterson; University of Alberta: L. Zwaigenbaum; University of Minnesota: J. Ellison, J. Wolff; Data Coordinating Center: Montreal Neurological Institute: A.C. Evans, D.L. Collins, G.B. Pike, V. Fonov, P. Kostopoulos, S. Das, L. MacIntyre; Image Processing Core: University of Utah: G. Gerig; University of North Carolina: M. Styner; Statistical Analysis Core: University of North Carolina: H. Gu. This project has been funded in part with Federal funds from the National Institute of Child Health and Human Development (HD 055741). Additional funding support has been provided from Autism Speaks (6020/Piven), the Simons Foundation (SFARI grant 140209 to JP), Brain Canada, the Azrieli Foundation grant (BC_Azrieli_MIRI_3388), and the Fondation Marcelle et Jean Coutu.

Funding Information:
The Infant Brain Imaging Study (IBIS) Network is an NIH funded Autism Center of Excellence project and consists of a consortium of 8 universities in the U.S. and Canada. Clinical Sites: University of North Carolina: J. Piven (IBIS Network PI), H.C. Hazlett, C. Chappell; University of Washington: S. Dager, A. Estes, D. Shaw; Washington University: K. Botteron, R. McKinstry, J. Constantino, J. Pruett; Children’s Hospital of Philadelphia: R. Schultz, J. Pandey, S. Paterson; University of Alberta: L. Zwaigenbaum; University of Minnesota: J. Ellison, J. Wolff; Data Coordinating Center: Montreal Neurological Institute: A.C. Evans, D.L. Collins, G.B. Pike, V. Fonov, P. Kostopoulos, S. Das, L. MacIntyre; Image Processing Core: University of Utah: G. Gerig; University of North Carolina: M. Styner; Statistical Analysis Core: University of North Carolina: H. Gu.

Funding Information:
This project has been funded in part with Federal funds from the National Institute of Child Health and Human Development (HD 055741). Additional funding support has been provided from Autism Speaks (6020/Piven), the Simons Foundation (SFARI grant 140209 to JP), Brain Canada, the Azrieli Foundation grant (BC_Azrieli_MIRI_3388), and the Fondation Marcelle et Jean Coutu.

Publisher Copyright:
© 2021 The Authors

Keywords

  • Autism spectrum disorder
  • Longitudinal neuroimaging
  • Neurodevelopmental disorders
  • Tensor based morphometry

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

Fingerprint

Dive into the research topics of 'A voxel-wise assessment of growth differences in infants developing autism spectrum disorder'. Together they form a unique fingerprint.

Cite this