EEG Transients in the Sigma Range During non-REM Sleep Predict Learning in Dogs.

Sci Rep · 2017 · PMC5636833 · PMID 29021536

Europe PMC DOI

hedged sentence

0.0770

closest p · 1.5× alpha

0.0770

boldest claim

The sentences

showed a trendP = 0.077so close (0.05 < p ≤ 0.1)

Age was predicted by the mean amplitude of fast spindles (GLMM, F 1,8 = 27.608, P = 0.001), which decreased with years of age; was predicted by a decrease in their density (GLMM, F 1,8 = 6.454, P = 0.035), while frequency showed a trend to increase with age (GLMM, F 1,8 = 4.132, P = 0.077).

also in 53,322 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.