Abstract #1843

Higher variability of individual functional brain networks in young children with autism

Chenying Zhao¹, Qinmu Peng^2,3, Minhui Ouyang², Hua Cheng⁴, Yun Peng⁴, Bo Hong⁵, and Hao Huang^2,3

¹Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, ²Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, ³Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, ⁴Beijing Children’s Hospital, Capital Medical University, Beijing, China, ⁵Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

Individual’s functional brain networks are sensitive indicators of behaviors. Atypical functional connectivity have been observed in children with autistic spectrum disorder (ASD), manifesting characteristic and distinctive behavior at ages of 2- to 7-years. However, little is known about individual variability of the functional brain networks in children with ASD. In this study, using resting-state fMRI and variability analysis, we quantified distinguished variability pattern in children with ASD from typically developing (TD) children from 2- to 7-years of age, especially in higher-order functional networks. The higher inter-subject variability in children with ASD may be associated with their impaired behaviors.

This abstract and the presentation materials are available to members only; a login is required.

Join Here