Comput Math Methods Med - Altered intrinsic connectivity networks in frontal lobe epilepsy: a resting-state fMRI study.

Tópicos

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Resumo

Examining the resting-state networks (RSNs) may help us to understand the neural mechanism of the frontal lobe epilepsy (FLE). Resting-state functional MRI (fMRI) data were acquired from 46 patients with FLE (study group) and 46 age- and gender-matched healthy subjects (control group). The independent component analysis (ICA) method was used to identify RSNs from each group. Compared with the healthy subjects, decreased functional connectivity was observed in all the networks; however, in some areas of RSNs, functional connectivity was increased in patients with FLE. The duration of epilepsy and the seizure frequency were used to analyze correlation with the regions of interest (ROIs) in the nine RSNs to determine their influence on FLE. The functional network connectivity (FNC) was used to study the impact on the disturbance and reorganization of FLE. The results of this study may offer new insight into the neuropathophysiological mechanisms of FLE.

Resumo Limpo

examin restingst network rsns may help us understand neural mechan frontal lobe epilepsi fle restingst function mri fmri data acquir patient fle studi group age gendermatch healthi subject control group independ compon analysi ica method use identifi rsns group compar healthi subject decreas function connect observ network howev area rsns function connect increas patient fle durat epilepsi seizur frequenc use analyz correl region interest roi nine rsns determin influenc fle function network connect fnc use studi impact disturb reorgan fle result studi may offer new insight neuropathophysiolog mechan fle

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