How to interpret sensor-level functional connectivity results (EEG)?

I got some functional connectivity results based on EEG data on sensor level. It is not practical to do source localization, cause it's only 32-channel recording. Since the signal I investigate is a steady-state response phase locked to periodic stimuli, I take coherence as functional connectivity.

My questions are:

1) Are functional connectivity results on the sensor-level accessible to information about underlying neural network? and if so, how should I interpret the data.

2) I observed a clear trend of left- / right- hemisphere lateralization with change of conditions. can i draw any conclusion about laterality based on sensor-level data? (I cannot think of any reason not to do that, since the spatial resolution of eeg, though very poor, can still reach hemisphere level.)

Thanks.