Abnormal functional network connectivity among resting-state networks in children with frontal lobe epilepsy.

ABSTRACT:

Background and purpose

Epilepsy is considered a disorder of neural networks. The aims of this study were to assess functional connectivity within resting-state networks and functional network connectivity across resting-state networks by use of resting-state fMRI in children with frontal lobe epilepsy and to relate changes in resting-state networks with neuropsychological function.

Materials and methods

Fifteen patients with frontal lobe epilepsy and normal MR imaging and 14 healthy control subjects were recruited. Spatial independent component analysis was used to identify the resting-state networks, including frontal, attention, default mode network, sensorimotor, visual, and auditory networks. The Z-maps of resting-state networks were compared between patients and control

SUBMITTER: Widjaja E 

PROVIDER: S-EPMC7965212 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature