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. 2023 Jan 12;33(11):6495–6507. doi: 10.1093/cercor/bhac520

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Fig. 4 — Interaction effects for age network, age task, and network task. Prediction accuracy (i.e. root mean squared error, RMSE) was best for the whole-brain approach (i.e. Power nodes) for both age groups (P < 0.00005; A). Prediction accuracy for younger subjects was best for high-demand (HD) while prediction accuracy for older subjects was best for low-demand (LD) task conditions (P < 0.00005; B). Prediction accuracy was better for the high-demand task condition in all brain networks investigated (P < 0.00005; C).

Inline graphic — Interaction effects for age network, age task, and network task. Prediction accuracy (i.e. root mean squared error, RMSE) was best for the whole-brain approach (i.e. Power nodes) for both age groups (P < 0.00005; A). Prediction accuracy for younger subjects was best for high-demand (HD) while prediction accuracy for older subjects was best for low-demand (LD) task conditions (P < 0.00005; B). Prediction accuracy was better for the high-demand task condition in all brain networks investigated (P < 0.00005; C).