The Relation Between White Matter Microstructure and Network Complexity: Implications for Processing Efficiency.

Front Integr Neurosci · 2018 · PMC6165884 · PMID 30319365

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hedged sentences

0.0570

closest p · 1.1× alpha

0.0570

boldest claim

The sentences

marginally significantp = 0.057so close (0.05 < p ≤ 0.1)

The PLS analysis for the matched sample ( Figure 3 ) revealed that, the first LV explained 66.55% of the covariance and was marginally significant ( p = 0.057).

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failed to reach significanceno p-value reported

Network complexity was characterized by greater complexity at the second time scale across most networks and lower complexity at mid and coarse time scales in many of the networks, but failed to reach significance in the sensorimotor networks (BSR ≤ 1.96).

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