An Overview, Challenges, and Future Directions - SAMSI

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Experiments Models Connectivity Prediction Summary Extensions: Spatial Modeling Between session correlations: (a) captures correlations between multiple scanning sessions (e.g. days or treatment periods), (b) does NOT model between-region spatial correlations [Derado et al. (2010), Biometrics] Model correlations between scanning sessions, between-regions, and locally within regions* Use imaging data to predict future neural responses [Derado et al. (2012), Statistical Methods in Medical Research] Model spatial correlations: Between AAL regions (unstructured covariance matrix), borrow strength between subregions within each AAL region (CAR model), between voxels within each subregion (exchangeable structure) F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 28 / 77
Experiments Models Connectivity Prediction Summary Other Extensions Unspecified onsets of stimuli: meditation or pain tolerance. [Robinson et al. (2010), NeuroImage] Spectral modeling: Fourier coefficients are approximately uncorrelated across frequencies; wavelets have decorrelating properties. [Kang et al. (2012), JASA; Ombao et al. (2008), Statistica Sinica] Rician regression model to characterize noise contributions in fMRI along with associated estimation and diagnostic procedures. [Zhu et al. (2009), JASA] F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 29 / 77
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An Overview, Challenges, and Future Directions - SAMSI

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