![]() As such, the current paper offers a stepping stone to further develop multi-modal networks and to integrate brain and behavior. General analysis routine - These sections contain reporting standards that are applicable to all analyses as defined above, independent of specific research. We integrate brain and behavior not only semantically, but also practically, by showcasing three methodological avenues that allow to combine networks of brain and behavioral data. ![]() We provide research examples in autism research, as it accurately represents research lines in both network neuroscience and psychological networks. In the current overview, we bridge this gap by introducing conventions in both fields, highlighting similarities, and creating a common language that enables the exploitation of synergies. By extension, the breadth of symptoms included in a network analysis is an implicit statement about the confounders that could obscure a unique bivariate causal. The promise of integrating these network applications lies in a united framework to tackle one of the fundamental questions of our time: how to understand the link between brain and behavior. For example, if the correlation of a candidate symptom with all other symptoms is increased by 10, by definition, strength centrality for the candidate will increase by 10. In clinical neuroscience and psychopathology, the developments and applications of network science have occurred mostly simultaneously, but without much collaboration between the two fields. In recent years, there has been an increase in applications of network science in many different fields. Network analysis is increasingly used to study psychopathology see for review, as it allows for an appreciation of mental health as an emergent property of the interaction of multiple symptoms (23, 24).
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