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. 2020 Sep 16;6(38):eaba3126. doi: 10.1126/sciadv.aba3126

Fig. 3. Whole-brain pERK neural activity imaging reveals altered landscape of brain activity.

Fig. 3

(A) Average pERK activity maps overlaid onto standard brains with segmentations in major brain subdivisions in the indicated population of A. mexicanus. Scale bar, 200 μm. (B) Scree plot for principal components analysis (PCA). Together, principal component 1 (PC1) and PC2 explain 44.78% of the variation in the PCA; further components do not meet the Kaiser criterion for further analysis. (C) Loading plot for PCA analysis showing the correlations between regions and the amount each region contributes to the PCs. Vectors that form small angles show correlated neural activity. (D) PCA of whole-brain neural activity in the brain of free-swimming fish. PC1 (one-way ANOVA, F = 8.019, P < 0.001; Dunnett’s post hoc: Molino, P < 0.003; Pachón, P < 0.001; and Tinaja, P > 0.95). PC2 (one-way ANOVA, F = 8.786, P = 0.0001; Dunnett’s post hoc: Molino, P < 0.001; Pachón, P < 0.05; and Tinaja, P = 0.001). Percentages indicate the amount of variance in neural activity explained by each PC. (E) Maximum-intensity projections of mean pERK signal in the rostral zone of the hypothalamus. Scale bar, 100 μm. (F) Quantification of pERK signal in rostral zone of the hypothalamus (one-way ANOVA, F = 4.69, P < 0.01; Molino, P < 0.01; Pachón, P < 0.04; and Tinaja, P ≥ 0.95). (G) Maximum-intensity projections of pERK signal in habenula. Scale bar, 100 um. (H) Quantification of pERK activity in the habenula (one-way ANOVA, F = 4.16, P = 0.012; Molino, P = 0.99; Pachón, P = 0.018; and Tinaja, P < 0.02). (I) Maximum-intensity projections of pERK signal in the pallium. Scale bar, 100 μm. (J) Quantification of pallial neural activity (one-way ANOVA, F = 6.18, P = 0.001; Molino, P < 0.001; Pachón, P < 0.03; and Tinaja, P < 0.04). N > 10 for all pERK activity mapping. *P ≤ 0.05, **P < 0.01, and ***P < 0.005 for indicated comparisons in all statistical tests.