A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism

• Published in: Graph Learning in Medical Imaging Vol. 11849; pp. 164 - 171
• Main Authors: Li, Guannan, Chen, Meng-Hsiang, Li, Gang, Wu, Di, Lian, Chunfeng, Sun, Quansen, Shen, Dinggang, Wang, Li
• Format: Book Chapter Journal Article
• Language: English
• Published: Switzerland Springer International Publishing AG 01.10.2019; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Amygdala; Autism; Convolutional neural network; Hippocampus; Trajectory; Autism; Trajectory; Amygdala; Convolutional neural network; Hippocampus
• ISBN: 303035816X; 9783030358167
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-35817-4_20

Currently, there are still no early biomarkers to detect infants with risk of autism spectrum disorder (ASD), which is mainly diagnosed based on behavioral observations at three or four years of age. Since intervention efforts may miss a critical developmental window after 2 years old, it is clinica...