Screening of autism spectrum disorder based on task-free fMRI using tensor decomposition approach

In recent decades, autism spectrum disorder (ASD) has displayed an incremental prevalence rate. Dueto the unavailability of a definite cure, the early diagnosis of the disorder is of high significance. Thereis evidence suggesting the discriminable differences between resting-state networks of peoplewho suffer from the disorder and healthy individuals. This distinguishability allows for utilization offMRI imaging to perform as a good instrument for identifying autism spectrum disorder. In thispaper, a tensor decomposition method for the diagnosis of autism form fMRI images is presented. Theselected dataset for testing the performance of the proposed algorithm is ABIDE۱. All site of theABIDE۱ is used for training the algorithm which is a challenging problem in fMRI data analyzing.Our proposed method successfully achieves the classification performance of about ۶۰% for all siteanalysis.

Keywords:

Autism spectrum disorder , Tensor decomposition , ABIDE