Clinical sciences do not only aim to describe psychological disorders, but also aim to explain them. And we are currently witnessing revisions of theoretical, methodological, and epistemological approaches. For instance, the ongoing debate about the use of psychiatric classifications, such as the DSM and possible alternatives (Rdoc, HiTOP), illustrates the epistemological tension between categorical and dimensional conceptualization of mental disorders. However, both approaches face a common problem: finding a way to reduce, but not ignore the complexity of mental illness to meet the challenge of making meaningful progress in research, treatment, and clinical decision making [1]. Numerous theoretical models have been proposed and explored since the beginning of psychiatry, promising to increase our understanding of psychological disorders. A theory that has received a lot of attention in recent years is the network approach to psychopathology, arguing that mental illness is an emergent property that arises from causal interactions among symptoms (e.g. rumination > insomnia > fatigue > guilt). The last years have seen a growing number of statistical tools developed in the novel field of network psychometrics that have been used to study different aspects of psychopathology from the network perspective [2]. The network approach encompasses