The Brain Matures with Stronger Functional Connectivity and Decreased Randomness of Its Network

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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:PloS one Ročník 7; číslo 5; s. e36896
Hlavní autori: Smit, Dirk J. A., Boersma, Maria, Schnack, Hugo G., Micheloyannis, Sifis, Boomsma, Dorret I., Hulshoff Pol, Hilleke E., Stam, Cornelis J., de Geus, Eco J. C.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 15.05.2012
Public Library of Science (PLoS)
Predmet:
Adolescence
Adolescent
Adolescents
Adult
Adults
Age
Aged
Alzheimer's disease
Biology
Brain
Brain - physiology
Child
Child, Preschool
Children
Clustering
Cortical Synchronization - physiology
EEG
Electroencephalography
Electroencephalography - methods
Female
Frequencies
Graphs
Humans
Life
Life span
Longitudinal Studies
Magnetic resonance imaging
Male
Middle Aged
Nerve Net - physiology
Network analysis
Network topologies
Neural networks
Neural Pathways - physiology
Neurosciences
Oscillations
Psychiatry
Randomness
Schizophrenia
Signal Processing, Computer-Assisted
Social and Behavioral Sciences
Structure-function relationships
Substantia alba
Substantia grisea
Synchronism
Synchronization
Theta rhythms
Trends
Young Adult
Young adults
Netherlands
ISSN:1932-6203, 1932-6203
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Conceived and designed the experiments: DS HS DB HHP CS EdG. Analyzed the data: DS MB HS. Contributed reagents/materials/analysis tools: CS. Wrote the paper: DS MB SM HHP EdG.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0036896