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• W2472671480 endingPage "e1005178" @default.
• W2472671480 startingPage "e1005178" @default.
• W2472671480 abstract "Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Understanding and quantifying these differences is a necessary first step towards developing predictive methods derived from network topology. Here, we present a method to quantify individual differences in brain functional dynamics by applying hypergraph analysis, a method from dynamic network theory. Using a summary metric derived from the hypergraph formalism---hypergraph cardinality---we investigate individual variations in two separate and complementary data sets. The first data set (multi-task) consists of 77 individuals engaging in four consecutive cognitive tasks. We observed that hypergraph cardinality exhibits variation across individuals while remaining consistent within individuals between tasks; moreover, one of the memory tasks evinced a marginally significant correspondence between hypergraph cardinality and age. This finding motivated a similar analysis of the second data set (age-memory), in which 95 individuals of varying ages performed a memory task with a similar structure to the multi-task memory task. With the increased age range in the age-memory data set, the correlation between hypergraph cardinality and age correspondence becomes significant. We discuss these results in the context of the well-known finding linking age with network structure, and suggest that age-related changes in brain function can be better understood by taking an integrative approach that incorporates information about the dynamics of functional interactions." @default.
• W2472671480 created "2016-07-22" @default.
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• W2472671480 date "2016-11-23" @default.
• W2472671480 modified "2023-10-17" @default.
• W2472671480 title "Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan" @default.
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• W2472671480 doi "https://doi.org/10.1371/journal.pcbi.1005178" @default.
• W2472671480 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5120784" @default.
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• W2472671480 hasPublicationYear "2016" @default.
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