Interindividual reaction time variability is related to resting-state network topology: an electroencephalogram study

Abstract Both anatomical and functional brain network studies have drawn great attention recently. Previous studies have suggested the significant impacts of brain network topology on cognitive function. However, the relationship between non-task–related resting-state functional brain network topolo...

Full description

Saved in:
Bibliographic Details
Published in:Neuroscience 2012-01, Vol.202, p.276-282
Main Authors: Zhou, G, Liu, P, He, J, Dong, M, Yang, X, Hou, B, Von Deneen, K.M, Qin, W, Tian, J
Format: Article
Language:English
Subjects:
Algorithms
Alpha Rhythm - physiology
Biological and medical sciences
Brain Mapping
Cluster Analysis
cognitive function
EEG
Electroencephalography
Female
functional connectivity
Fundamental and applied biological sciences. Psychology
graph analysis
Humans
Male
Nerve Net - physiology
Neurology
phase lag index
Psychomotor Performance - physiology
Reaction Time - physiology
Rest - physiology
Vertebrates: nervous system and sense organs
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Both anatomical and functional brain network studies have drawn great attention recently. Previous studies have suggested the significant impacts of brain network topology on cognitive function. However, the relationship between non-task–related resting-state functional brain network topology and overall efficiency of sensorimotor processing has not been well identified. In the present study, we investigated the relationship between non-task–related resting-state functional brain network topology and reaction time (RT) in a Go/Nogo task using an electroencephalogram (EEG). After estimating the functional connectivity between each pair of electrodes, graph analysis was applied to characterize the network topology. Two fundamental measures, clustering coefficient (functional segregation) and characteristic path length (functional integration), as well as “small-world-ness” (the ratio between the clustering coefficient and characteristic path length) were calculated in five frequency bands. Then, the correlations between the network measures and RT were evaluated in each band separately. The present results showed that increased overall functional connectivity in alpha and gamma frequency bands was correlated with a longer RT. Furthermore, shorter RT was correlated with a shorter characteristic path length in the gamma band. This result suggested that human RTs were likely to be related to the efficiency of the brain integrating information across distributed brain regions. The results also showed that a longer RT was related to an increased gamma clustering coefficient and decreased small-world-ness. These results provided further evidence of the association between the resting-state functional brain network and cognitive function.
ISSN:0306-4522
1873-7544
DOI:10.1016/j.neuroscience.2011.11.048