Analyzing on the time-varying behavior of spontaneous hemodynamic fluctuations from fNIRS was performed to investigate the possible functional patterns associated with autism spectrum disorder (ASD) and potential contribution of optical channels to ASD/TD classification; Then a deep learning model combining the long-short term memory (LSTM) and convolutional neural network (CNN) was conducted to represent the temporal variation of brain activity for accurate identification of ASD.
Journal of Neuroscience Methods – Elsevier
Published: Feb 1, 2020
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