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- W2071705943 abstract "We investigated the development of the brain's functional connectivity throughout the life span (ages 5 through 71 years) by measuring EEG activity in a large population-based sample. Connectivity was established with Synchronization Likelihood. Relative randomness of the connectivity patterns was established with Watts and Strogatz' (1998) graph parameters C (local clustering) and L (global path length) for alpha (∼10 Hz), beta (∼20 Hz), and theta (∼4 Hz) oscillation networks. From childhood to adolescence large increases in connectivity in alpha, theta and beta frequency bands were found that continued at a slower pace into adulthood (peaking at ∼50 yrs). Connectivity changes were accompanied by increases in L and C reflecting decreases in network randomness or increased order (peak levels reached at ∼18 yrs). Older age (55+) was associated with weakened connectivity. Semi-automatically segmented T1 weighted MRI images of 104 young adults revealed that connectivity was significantly correlated to cerebral white matter volume (alpha oscillations: r = 33, p<01; theta: r = 22, p<05), while path length was related to both white matter (alpha: max. r = 38, p<001) and gray matter (alpha: max. r = 36, p<001; theta: max. r = 36, p<001) volumes. In conclusion, EEG connectivity and graph theoretical network analysis may be used to trace structural and functional development of the brain." @default.
- W2071705943 created "2016-06-24" @default.
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- W2071705943 date "2012-05-15" @default.
- W2071705943 modified "2023-10-07" @default.
- W2071705943 title "The Brain Matures with Stronger Functional Connectivity and Decreased Randomness of Its Network" @default.
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- W2071705943 doi "https://doi.org/10.1371/journal.pone.0036896" @default.
- W2071705943 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3352942" @default.
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