Fig. 5: Results summary including the models from DBS fiber filtering, sweetspot mapping and network mapping. | Nature Communications

Fig. 5: Results summary including the models from DBS fiber filtering, sweetspot mapping and network mapping.

From: Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

Fig. 5: Results summary including the models from DBS fiber filtering, sweetspot mapping and network mapping.The alternative text for this image may have been generated using AI.

The three levels of analysis were able to explain a similar amount of variance of clinical outcomes when analyzed in a circular nature (see scatterplots; ∼16–19%) and led to significant cross-predictions of clinical outcomes across leave-one-patient-out and multiple k-fold designs, plots show fitting of a linear model that represents the degree to which stimulating voxels (left), functional regions (top-right) and tracts (bottom-right) explain variance in clinical outcomes across the whole cohort (N = 46) using Spearman correlation, gray shaded areas represent 95% confidence intervals. Three level analysis results were superimposed on slices of a brain cytoarchitecture atlas in MNI 152 space84. See supplementary Fig. 7 for additional metrics on each validation approach. RMS Root mean square error, MAE Median absolute error.

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