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- W2139571805 abstract "<h3>BACKGROUND AND PURPOSE:</h3> Subtle linguistic dysfunction and reorganization of the language network were described in patients with epilepsy, suggesting the occurrence of plasticity changes. We used resting state FC-MRI to investigate the effects induced by chronic epilepsy on the connectivity of the language-related brain regions and correlated it with language performance. <h3>MATERIALS AND METHODS:</h3> FC-MRI was evaluated in 22 right-handed patients with drug-resistant epilepsy (11 with LE and 11 with RE) and in 12 healthy volunteers. Neuropsychological assessment of verbal IQ was performed. Patients and controls underwent BOLD fMRI with a verb-generation task, and language function was lateralized by an LI. Intrinsic activity fluctuations for FC analysis were extracted from data collected during the task. Six seeding cortical regions for speech in both hemispheres were selected to obtain a measure of the connectivity pattern among the language networks. <h3>RESULTS:</h3> Patients with LE presented atypical language lateralization and an overall reduced connectivity of the language network with respect to controls. In patients with both LE and RE, the mean FC was significantly reduced within the left (dominant) hemisphere and between the 2 hemispheres. In patients with LE, there was a positive correlation between verbal IQ scores and the left intrahemispheric FC. <h3>CONCLUSIONS:</h3> In patients with intractable epilepsy, FC-MRI revealed an overall reduction and reorganization of the connectivity pattern within the language network. FC was reduced in the left hemisphere regardless of the epileptogenic focus side and was positively correlated with linguistic performance only in patients with LE." @default.
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- W2139571805 date "2010-12-16" @default.
- W2139571805 modified "2023-10-02" @default.
- W2139571805 title "Functional Connectivity MR Imaging of the Language Network in Patients with Drug-Resistant Epilepsy" @default.
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- W2139571805 doi "https://doi.org/10.3174/ajnr.a2311" @default.
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