Taking neuroscience from the study of individual brain regions to a network-based approach is essential for unravelling the mechanisms of cognition and behaviour and their breakdown in disorders. Network neuroscience is only at its incipient stages. Therefore, we propose an ETN for training ESRs on this emerging field and its application domains. euSNN will integrate leading European groups in network neuroscience and deliver training on knowledge and skills that enable students to pursue a successful career in this emerging field. euSNN will combine and train all approaches relevant for investigation of brain networks, including (f)MRI, M/EEG, in-vivo recordings, analysis, modelling, network modulation with optogenetics or non-invasive neurostimulation and studies on network changes in neurological disorders. The novelty of euSNN's training results from the unique combination of experimental, analysis and modelling approaches, which is amplified in a highly integrated programme that cuts across disciplines and sectors. This is in stark contrast with traditional concepts on graduate training in neuroscience, which often have been confined to a single research approach. All euSNN thesis projects focus on the key goal of identifying, analysing, and manipulating network interactions underlying cognitive and sensorimotor functions or their disturbances. Each project will operate across both academic and industrial partners in the network, giving a unique translational and application-geared orientation to the training. Exploiting intense collaborations between experimental, theoretical and clinical groups, we link basic research on large-scale brain dynamics with new pathophysiological approaches and clinical applications. Overall, euSNN will contribute to assuring Europe’s leading position in the field of network neuroscience, while giving ESRs state-of-the-art multi-disciplinary research and entrepreneurial skills.

Individuals with neurodevelopmental disorders (NDDs) show highly heterogeneous behavioural, cognitive and brain profiles with much larger overlap between, e.g., dyslexia, dyscalculia and attention-deficit hyperactivity disorder (ADHD), than assumed by current diagnostic approaches. It remains unclear how the individual profiles of deficits and strengths result in child specific idiosyncratic development. Besides relying on discrete categories, the current diagnostic approaches assume relatively stable NDD symptoms across development while recent findings suggest more dynamic changes in the symptoms across development. The interdisciplinary and inter-sectoral Tools4NDDs consortium aims to employ recent technological advancements to better understand the heterogeneous and dynamic nature of NDDs. Our consortium utilizes the advances in transdiagnostic research, as well as the potential of digital technological solutions to improve diagnostic and intervention tools for NDDs. The general objective is to better integrate the transdiagnostic framework in translating empirical findings to available and emerging tools while taking into account children’s divergent sociodemograpic backgrounds. Knowledge transfer, training and research on this is carried out through secondments, online work groups and library as well as yearly workshops. Our transdiagnostic approach has great potential in improving both the understanding of the dynamical mechanisms underlying NDDs, and ultimately, the development of personalized diagnostic practice and intervention designs. As long-term outcomes, to promote much needed innovations towards early, personalized, and effective identification and support for children with NDDs, thereby improving their quality-of-life.