An Overview, Challenges, and Future Directions - SAMSI

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Experiments Models Connectivity Prediction Summary Functional Connectivity Partitioning Approaches: Independent Components Analysis (ICA) Y = × . + Goal: Decompose observed fMRI data into a linear combination of spatio-temporal source signals. Y(T × V ): observed fMRI measurements A(T × q): mixing matrix (columns contain latent time series for ICs) S(q × V ): statistically independent spatial signals (in rows) E(T × V ): noise or variability not explained by the ICs, e v ∼MVN F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 37 / 77
Experiments Models Connectivity Prediction Summary Functional Connectivity Partitioning Approaches: ICA Goal: Decompose observed fMRI data into a linear combination of spatio-temporal source signals. F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 38 / 77
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An Overview, Challenges, and Future Directions - SAMSI

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