The purpose of this study was to explore spatial-temporal correlations between 3-dimensional current density estimates using Low Resolution Electromagnetic Tomography (LORETA).

The electroencephalogram (EEG) was recorded from 19 scalp locations from 97 subjects. LORETA current density was computed for 2,394 gray matter pixels. The gray matter pixels were grouped into 33 left hemisphere and 33 right hemisphere regions of interest (ROIs) based on groupings of Brodmann areas. The average source current density in a given region of interest (ROI) was computed for each 2 second epoch of EEG and then a Pearson product correlation coefficient was computed over the time series of successive 2 second epochs of current density between all pairwise combinations of ROIs during the resting eyes-closed EEG session.

Rhythmic changes in source correlation as a function of distance were present in all regions of interest. Also, maximum correlations at certain frequencies were present independent of distance. The occipital regions exhibited the highest short distance correlations and the frontal regions exhibited the highest long distance correlations. In general, the right hemisphere exhibited higher intra-hemispheric source correlations than the left hemisphere especially in the temporal, parietal and occipital cortex. The strongest left vs. right hemisphere differences were In the alpha frequency band (8–12 Hz) and in the gamma frequency band (37–40 Hz).

The pattern of spatial frequencies in different cortical lobules is consistent with differences in neural packing density and the operation of ‘U’ shaped fiber systems. The general conclusions were: 1− the higher the packing density then the greater the intra-cortical connection contribution to LORETA source correlations, 2- spatial frequencies are primarily due to intra-cortical ’U” shaped fiber connections and long distance fiber connections, 3− posterior and temporal cortical intra-hemispheric coupling is generally stronger in the right hemisphere than in the left hemisphere.

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Spatial-Temporal Current Source Correlations and Cortical Connectivity