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. Author manuscript; available in PMC: 2024 May 20.
Published in final edited form as: Neuroimage. 2018 Dec 13;188:322–334. doi: 10.1016/j.neuroimage.2018.12.006

Figure 7. Explanation of variance.

Figure 7

(a) Correlation of the correspondence of the two-point algorithm to the composite measure for each of the 55 target pairs (x-axis), to the target-target correlations (y-axis), for the fully processed (FP) data (left), the MP-OC data (center) and the MP-SE data (right). (b) Blue bars show the same correlation measure as (a), between the algorithm to the composite measure, and the target-target correlations, across all possible pairs, for FP (left), MP-OC, (center) and MP-SE (left). Orange bars show the correlations of target-target correlations to tSNR, and yellow bars show the partial correlations of the algorithm correspondence with the composite measure, to target-target correlations, after factoring out tSNR. Note that as data becomes better processed, the correspondence of the algorithm to the composite measure becomes more dependent on target-target correlations, but less dependent on tSNR.