Here are few reference that could be of help to you:
van Diessen E, Numan T, van Dellen E, van der Kooi AW, Boersma M, Hofman D, van Lutterveld R, van Dijk BW, van Straaten EC, Hillebrand A, Stam CJ. Opportunities and methodological challenges in EEG and MEG resting state functional brain network research. Clin Neurophysiol. 2015 Aug;126(8):1468-81. doi: 10.1016/j.clinph.2014.11.018
Khanna A, Pascual-Leone A, Michel CM, Farzan F. Microstates in resting-state EEG: current status and future directions. Neurosci Biobehav Rev. 2015 Feb;49:105-13. doi: 10.1016/j.neubiorev.2014.12.010
Schoenberg PLA. Linear and Nonlinear EEG-Based Functional Networks in Anxiety Disorders. Adv Exp Med Biol. 2020;1191:35-59. doi: 10.1007/978-981-32-9705-0_3
Gomez-Pilar J, Lubeiro A, Poza J, Hornero R, Ayuso M, Valcárcel C, Haidar K, Blanco JA, Molina V. Functional EEG network analysis in schizophrenia: Evidence of larger segregation and deficit of modulation. Prog Neuropsychopharmacol Biol Psychiatry. 2017 Jun 2;76:116-123. doi: 10.1016/j.pnpbp.2017.03.004
Lamoš M, Mareček R, Slavíček T, Mikl M, Rektor I, Jan J. Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics. J Neural Eng. 2018 Jun;15(3):036025. doi: 10.1088/1741-2552/aab66b
Zhang B, Yan G, Yang Z, Su Y, Wang J, Lei T. Brain Functional Networks Based on Resting-State EEG Data for Major Depressive Disorder Analysis and Classification. IEEE Trans Neural Syst Rehabil Eng. 2021;29:215-229. doi: 10.1109/TNSRE.2020.3043426
Michel CM, Koenig T. EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review. Neuroimage. 2018 Oct 15;180(Pt B):577-593. doi: 10.1016/j.neuroimage.2017.11.062.