In this paper, we target an optimal Multiple-Input Multiple-Output Digital Signal Processing (MIMO-DSP) assignment to super-channels affected by inter-core crosstalk (ICXT) in Multi-Core Fiber (MCF)-enabled transparent optical core networks. MIMO-DSP undoes ICXT effects, but can be costly with high core density MCFs. Hence, its implementation in the network must be carefully decided. We address our objective as a joint Route, Modulation format, MIMO and Spectrum Assignment (RMMSA) problem, for which Integer Linear Programming (ILP) formulations are provided to optimally solve it in small network scenarios. Moreover, several heuristic approaches are also proposed to solve large-scale problem instances with good accuracy. Their goal is to minimize both network spectral requirements and the amount of MIMO equalized super-channels, taking a crosstalk-free Space Division Multiplexing (SDM) solution as a reference, for example, based on parallel single mode fibers (i.e., a Multi-Fiber -MF-scenario). For our evaluation, we consider several state-of-the-art MCF prototypes and different network topologies. The obtained results, with the considered MCFs, disclose that in national backbone networks, the desirable percentage of super-channels with MIMO equalization to match the performance of an equivalent crosstalk-free SDM solution ranges from 0-36%, while in continental-wide networks this range raises up to 0-56%. In addition, in the case of a non-ideal MIMO (with a 3 dB/km of crosstalk compensation), such percentages range from 0-28% and 0-45% in national and continental-wide backbone networks, respectively, experimenting a performance gap up to 12% with respect to the MF reference scenario.