Machine learning approach to identify resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder
Bun Yamagata, Takashi Itahashi, Junya Fujino, Haruhisa Ohta, Motoaki Nakamura, Nobumasa Kato, Masaru Mimura, Ryu-ichiro Hashimoto, Yuta Y. Aoki
The paper uses machine learning to identify a resting-state functional connectivity pattern associated with autism spectrum disorder endophenotypes and links it to communication impairment severity.
Brain Imaging and Behavior · Oct 2, 2018Peer-reviewedNeuroscience