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. Author manuscript; available in PMC: 2017 Feb 8.
Published in final edited form as: Nat Neurosci. 2016 Aug 8;19(9):1250–1255. doi: 10.1038/nn.4354

Figure 3.

Figure 3

Actual vs. predicted fMRI activation for Words > Objects on the ventral surface of an example subject. Heatmap reflects word selectivity and white outline indicates the boundaries of the left occipitotemporal anatomical parcel. AU = arbitrary units. (a) Actual fMRI activation for Words > Objects at age 8. (b) Activation that is predicted from the same individual’s DWI data at age 5. (c) Activation that is predicted from the same individual’s fMRI data at age 8, from independent, left-out fMRI runs from (a). This split-half reliability illustrates the best possible predictions that one could make about an individual’s word selectivity. The predicted activation from DWI matches the actual activation pattern, capturing loci that are accurately predicted from left-out data. Note that all images (actual, predicted from DWI, and predicted from left-out data) are based on (or trained on) an equal number of fMRI runs.