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. 2023 Nov 23;12:e86037. doi: 10.7554/eLife.86037

Figure 2. Predicting category-selective topographies using connectivity profiles across movies.

(A) Scatter plots of Pearson correlation coefficients for individual participants in four different datasets and for four categories. Values on the y-axis stand for correlations between each target participant’s own localizer-based topographies and topographies estimated from other participants in the same movie using connectivity hyperalignment (CHA). Values on the x-axis stand for correlations between each target participant’s own localizer-based topographies and topographies estimated from participants in another dataset based on cross-movie CHA. (B) Bar plots display the mean Pearson correlation coefficients (r) and Cronbach’s alphas across participants in all four datasets for all four categories. Error bars stand for ±1 standard error of the mean. S to B: Sraiders to Budapest, B to S: Budapest to Sraiders, R to F: Raiders to Forrest, F to R: Forrest to Raiders.

Figure 2.

Figure 2—figure supplement 1. Connectivity hyperalignment (CHA) predictions.

Figure 2—figure supplement 1.

Bar plots display the mean Pearson correlation coefficients (r) and Cronbach’s alphas across participants in all four datasets for all four categories. Error bars stand for ±1 standard error of the mean. The abbreviations are the same in all figures, including this one. S to B: Sraiders to Budapest, F to B: Forrest to Budapest, R to B: Raiders to Budapest, B to S: Budapest to Sraiders, F to S: Forrest to Sraiders, R to S: Raiders to Sraiders, R to F: Raiders to Forrest, B to F: Budapest to Forrest, S to F: Sraiders to Forrest, F to R: Forrest to Raiders, B to R: Budapest to Raiders, S to R: Sraiders to Raiders.
Figure 2—figure supplement 2. Prediction performances for each individual participant.

Figure 2—figure supplement 2.

Prediction performance (Pearson r) for the face-selective topography for each individual participant using response hyperalignment (RHA), connectivity hyperalignment (CHA), cross-movie CHA, and surface alignment (AA) in all four datasets. Black dots stand for individual participants’ Cronbach’s alphas of their own face-selective topographies across localizer runs. Dashed lines are the mean values across participants. S to B: Sraiders to Budapest, F to B: Forrest to Budapest, R to B: Raiders to Budapest, B to S: Budapest to Sraiders, F to S: Forrest to Sraiders, R to S: Raiders to Sraiders, R to F: Raiders to Forrest, B to F: Budapest to Forrest, S to F: Sraiders to Forrest, F to R: Forrest to Raiders, B to R: Budapest to Raiders, S to R: Sraiders to Raiders.