An Overview, Challenges, and Future Directions - SAMSI
An Overview, Challenges, and Future Directions - SAMSI
An Overview, Challenges, and Future Directions - SAMSI
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Experiments Models Connectivity Prediction Summary<br />
Bayesian Spatial Prediction Model<br />
Example of modelling framework using ALFF <strong>and</strong> VBM data<br />
Let D i ∈ {0, 1} represent disease status (e.g. 1=PD, 0=HC)<br />
Let X ilg (v) <strong>and</strong> Z ilg (v) respectively denote the ALFF <strong>and</strong> VBM for<br />
subject i at voxel v in subregion l (in region g), <strong>and</strong><br />
B i = [X ilg (v), Z ilg (v)]<br />
Construct a Bayesian joint (multimodal) probability model<br />
f (X ilg (v), Z ilg (v)|D i ) ∝ f 1 (X ilg (v)|Zilg(v), D i ) × f 2 (Z ilg (v)|D i )<br />
Generate predictions for a new subject n + 1 based on<br />
Pr(D n+1 = k|B n+1 , {B i , D i } n i=1 )<br />
F. D. Bowman (Emory University) <strong>SAMSI</strong>: NDA RTP, NC 75 / 77
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