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Higher-Order Information in Brain Activity by r7165322 is a document available to read on EtoBox.

This research article introduces a method called partial entropy decomposition (PED) to analyze higher-order interactions in human brain activity, which are often overlooked by traditional pairwise network models. The study demonstrates that PED can reveal significant synergies and redundancies in resting-state fMRI data, providing insights into the dynamic structures of brain connectivity. The findings suggest that exploring these higher-order interactions could enhance our understanding of brain function

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r7165322

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EN