Population coding of affect across stimuli, modalities and individuals.

Nat Neurosci · 2014 · PMC4317366 · PMID 24952643

Europe PMC DOI

hedged sentences

0.0000

closest p · 0.0× alpha

0.1300

boldest claim

The sentences

highly significantP = 4.5 × 10 −9actually significant

A two-way repeated measures ANOVA revealed a highly significant interaction ( F 1.9, 28.8 = 69.5, P = 4.5 × 10 −9 , Greenhouse-Geisser correction applied) between regions (EVC, VTC, OFC) and property type (visual feature, animacy, valence).

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did not achieve significanceP = 0.13not close (p > 0.1)

Valence classification did not achieve significance in the VTC (51.7 ± 0.8 % accuracy, t 15 = 2.0, P = 0.13), with a paired t -test between the OFC and VTC revealing greater classification accuracy in the OFC than in the VTC ( t 15 = 4.2, P = 0.0007).

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