This study investigates potential changes in functional connectivity networks (resting state network activity) of migraineurs in the interictal period as compared to healthy control subjects, using resting-state fMRI. Magnetic resonance imaging was performed on a Philips Achieva 3 Tesla MRI scanner. The data were analyzed with the BrainVoyager QX software using “Independent Component Analysis” to determine the functional connectivity in five predefined resting state networks and to study differences between migraineurs and control subjects. The study found that there is an extensive alteration of interictal large-scale network connectivity in episodic migraineurs, which reflect the migraine phenotype (e.g. the visual network and the sensorimotor network). These alterations might indicate a cerebral predisposition for the generation of migraine attacks and the data contribute to a better understanding of migraine pathophysiology.
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This study investigates potential changes in functional connectivity networks (resting state network activity) of migraineurs in the interictal period as compared to healthy control subjects, using resting-state fMRI. Magnetic resonance imaging was performed on a Philips Achieva 3 Tesla MRI scanner. The data were analyzed with the BrainVoyager QX software using “Independent Component Analysis” to determine the functional connectivity in five predefined resting state networks and to study differe...
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