The increasing opportunities presented by new technologies (and their progressive integration into neuroscience research) will take us to an entirely new level of thinking as well as allow researchers to utilize previously unused methods. In the light of new trends (such as quantum computing, augmented reality, and 3-D printing) we not only have new tools with which to solve the current bottlenecks but also to discover completely new avenues of brain research. Genetic engineering combined with optics and/or pharmacology already allows the spatiotemporal modulation of gene activity in animal models, thus shedding light on specific neural ensembles and behavioral manifestation. Meanwhile, the systematic collection of omics information from individuals at different levels of environmental reactivity and resolution (molecules, cells, tissues, etc.) will likely increase; determining how these features can profitably be studied together has been a major point of interest. The imaging genetics approach is a good example of a method that has been fueled by this trend. In this new collection, we aim to present a series of integrated methodologies that combine multiple disciplines in order to elucidate the mechanism of the nervous system and its manifestation.