Poster C80, Sunday, March 25, 1:00-3:00 pm, Exhibit Hall C
Reduced Persistence of Spontaneous Brain Activity in Schizophrenia
Huang Zheng1,2, Jianbo Gao1,2; 1School of Computer, Electronics and Information, Guangxi University, China, 2Institute of Complexity Science and Big Data Technology, Guangxi University, China
Schizophrenia is a complex disorder comprised of widespread affective, cognitive, and behavioral disturbances and disruptions. We studied the dynamic properties of the blood oxygenation level-dependent (BOLD) time series of patients diagnosed with schizophrenia at resting state, by computing a key measure from complexity science, the Hurst exponent (H) using Adaptive Fractal Analysis (AFA). When 0<H<1/2, a BOLD time series is considered to have anti-persistent correlation. When H=1/2, a BOLD time series is memoryless or only has short-term memory. When 1/2<H<1, a BOLD time series is considered to have persistent long range correlation. 44 participants meeting the DSM-IV criteria for schizophrenia and 77 healthy controls underwent fMRI scanning at 3.0 T. Mean H for all the 116 brain regions extracted from Anatomical Automatic Labeling (AAL) template as well as the whole brain were generated and analyzed for each subject based on voxel by voxel time series. Statistically significant reduced persistences in brain activity were detected in schizophrenia patients compared to controls both at the whole brain level and the brain region level. To be exact, 103 of 116 brain regions showed significantly reduced persistence, suggesting overwhelmingly less persistent brain activity in patients with schizophrenia. The result provides evidence that brain activity of schizophrenia is associated with weaker persistence and more randomness in signal patterns compared to healthy controls. This property may constitute a potential biomarker of schizophrenia from Resting-State fMRI.
Topic Area: METHODS: Neuroimaging