A0639
Title: Bayesian spatial model finds association between ADHD medication and long memory properties of rs-FMRI in the cerebellum
Authors: Yasaman Shahhoseni - University of Victoria (Canada) [presenting]
Farouk Nathoo - University of Victoria (Canada)
Cedric Beaulac - Universite Du Quebec a Montreal (Canada)
Michelle Miranda - University of Victoria (Canada)
Abstract: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder common in both adults and children. Resting-state functional magnetic resonance imaging (rs-fMRI) is an important tool for investigating brain function in neurological and psychiatric disorders, including ADHD. Evidence suggests that there is an association between altered brain activity patterns and ADHD symptoms. Fractal properties of rs-fMRI time series are first explored through scale-free power spectrum properties of the brain, estimating the long-memory (LM) parameter at many locations across the brain. Further, the associations between the LM parameter and phenotypic covariates, including age and medication status of ADHD patients, are studied. A total of 140 patients with ADHD and 216 healthy controls aged 7-18 were examined. Fractal complexity is estimated using the LM parameter in the first stage, and variations are further observed in the LM maps of the brain across different individual groups. Evidence is found that participants with ADHD who were on medication exhibited a negative correlation with the LM parameter of the brain, particularly within cerebellar regions. These findings are consistent with previous neuroimaging studies of ADHD reporting associations between alterations in brain shape structure and medication in the cerebellum.
