Network communication models improve the behavioral and functional predictive utility of the human structural connectome

Research article (Network Neuroscience, 2020) · cited 127× · AI/ML
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Network communication models improve the behavioral and functional predictive utility of the human structural connectome

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Network communication models improve the behavioral and functional predictive utility of the human structural connectome is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Network communication models improve the behavioral and functional predictive utility of the human structural connectome. Retrieved May 24, 2026, from https://4ort.xyz/entity/network-communication-models-improve-the-behavioral-and-functional-predictive-utility-of-the-human-structural-connectome
MLA “Network communication models improve the behavioral and functional predictive utility of the human structural connectome.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/network-communication-models-improve-the-behavioral-and-functional-predictive-utility-of-the-human-structural-connectome.
BibTeX @misc{4ortxyz_network-communication-models-improve-the-behavioral-and-functional-predictive-utility-of-the-human-structural-connectome_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Network communication models improve the behavioral and functional predictive utility of the human structural connectome}}, year = {2026}, url = {https://4ort.xyz/entity/network-communication-models-improve-the-behavioral-and-functional-predictive-utility-of-the-human-structural-connectome}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Network communication models improve the behavioral and functional predictive utility of the human structural connectome — https://4ort.xyz/entity/network-communication-models-improve-the-behavioral-and-functional-predictive-utility-of-the-human-structural-connectome (retrieved 2026-05-24)

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