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Scale-resolved analysis of brain functional connectivity networks with spectral entropy
[article]
2019
bioRxiv
pre-print
Functional connectivity is derived from inter-regional correlations in spontaneous fluctuations of brain activity, and can be represented in terms of complete graphs with continuous (real-valued) edges. The structure of functional connectivity networks is strongly affected by signal processing procedures to remove the effects of motion, physiological noise and other sources of experimental error. However, in the absence of an established ground truth, it is difficult to determine the optimal
doi:10.1101/813162
fatcat:yv4wbedcuzbp3ih2ac3cqhn3ze