A functional magnetic resonance imaging (fMRI) method, which can be used to perform a covert speech word generation task, has been used to identify the language dominant hemisphere. However, in the covert speech method, the performance of a subject during the task can'-not be assessed. Moreover, the activation of the premotor area may affect the calculation of laterality index (LI) . We performed a new fMRI method that uses a word generation aloud task as a stimulus and nonword reading aloud task as a control to offset the activation of the motor cortex. Thereafter, we examined whether LI can be calculated by this method.
fMRI data were acquired using a 1.5T Philips Gyroscan Intera system. Eleven healthy, right-handed volunteers participated in this study. The fMRI task paradigm involved four 30-s blocks of tasks alternating with blocks of controls. We created activation maps by using SPM8. The threshold of the activation map was set at P
=0.001 (uncorrected) . We calculated LI from the activated voxels in the region of interest set at the inferior frontal gyrus and precentral gyrus, and compared the results with that of the conventional covert speech method.
The left premotor area, supplementary motor area, and Broca's area were activated in the covert speech method. The observed activation of the supplementary motor area and Broca's area was the same as that observed in the covert speech method, ; however, the activation of the premotor and primary motor areas was not observed in the nonword reading aloud method. In addition, there was no significant difference in the calculated LI between the covert speech method and nonword reading aloud method. Because the subject's performance during tasks can be assessed by this method, it can be used for identifying the language dominant hemisphere with higher reliability.
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