I am a newbie to M/EEG Source Localisation, I have a resting state Epileptic data through which I want to get a source time series (here condense sources to 68 ROIs-parcellations). However, I am unable to conceptualize which algorithm to choose.

I have read the literature and managed to understand about the differences clearly stated between dipole and distributed models but not (i might have missed literature here) between distributed and beamformers. So can someone help me in choosing the source localisation algorithms for resting state epileptic m/eeg signals. Can you also point me to good literature on differences between (advantages/disadvantages) distributed and beamformer methods. Many thanks in advance.

Regards,

Sri.