Exploring The Shared Neural Basis Between The Positive And Negative Syndromes Of Schizophrenia Using Multi-Task Regression Under The Stability Selection Frame

Schizophrenia is a severe psychiatry disorder characterized by the positive and negative syndrome. Previous studies often treat the two syndromes independently. In our study, we proposed a multi-task regression and stability selection combined method to explore whether the two syndromes shared same brain functional deficits. 35 drug-naive adolescent participants with first-episode schizophrenia were recruited from The Second Affiliated Hospital of XinXiang Medical University. A multi-task regression method combining stability selection was proposed and utilized on the resting-state fMRI data of subjects to explore the shared atypical brain regions which contributed to the positive and negative syndromes. Finally we found that default mode network contributed in both positive and negative syndromes of schizophrenia, indicating a shared neural basis of these two syndromes. Overall, we revealed the applicability of multi-task regression method to explore the shared neural deficits of multi syndromes of psychiatry disorder.