Barely Significant
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Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures.

Netw Neurosci · 2022 · PMC9810370 · PMID 36607180

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closest p · 0.0× alpha
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boldest claim

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highly significantp ≤ 0.0001actually significant
By applying a paired t test, the differences between the WN and RNN model to the TAtt model were shown to be both highly significant with p ≤ 0.0001 across subjects (Cohen’s d = 10.68 and d = 10.66, respectively).

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