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Differences in hemispheric predominance between across- and within-category change perception of vowels were assessed using a whole-head magnetoencephalography. The magnetic mismatch responses (MMNm) to pure-tone and vowel within-category changes were significantly predominant in the right hemisphere; on the other hand, vowel across-category MMNm did not differ in power between hemispheres. The results suggest that both hemispheres are symmetrically activated in the preattentive across-category change perception of vowels, while the within-category change of a vowel is analyzed as the change in physical features of the stimuli, thus predominantly activating the right hemisphere. Thus, the relative contribution of the left auditory cortex in the preattentive speech processing may occur only at the level of perception of the vowel across-category change.

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In this paper, we report on our study of frontal midline theta (Fm theta) activity in human subjects, recorded during mental processes such as arithmetic calculation. The Fm theta is a 6-7 Hz rhythmic wave with a duration of few seconds. The Fm theta activity is observed in the central region at the front of the head. EEGs and MEGs of Fm theta were measured simultaneously during mental calculation, and we analyzed these waveforms based on both topographic EEG maps and magnetic fields measurements. A single dipole simulated the EEG topography adequately, but there are many other dipole models which can generate a similar EEG pattern. It is difficult to estimate the source location of the Fm theta from the EEG topography alone because the EEG technique has a certain ambiguity associated with source estimation. Therefore, we considered the spatial relationships between the sources and the patterns of EEG and MEG that were simulated. Although it is not possible to obtain a unique solution for the source location of Fm theta from the EEG data alone, the simultaneous recording of MEGs from a large scalp area may result in an unambiguous solution. We therefore conclude that the simultaneous recording of both MEG and EEG data is more useful for accurate localization, than the EEG alone.

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