group and individual networks

Creating a methodological framework to bridge brain and symptom networks. Stimulating crosstalk between neuroscience and psychometrics.

Network science has given us many insights into how the brain works and into how psychological symptoms interact, but these two fields have developed largely in parallel. To truly understand how brain and behaviour are linked, brain networks and symptom networks need to be studied together. In this project we set out to build a methodological framework that does exactly that: (1) bridging the gap between individual (idiographic) networks and group-level (cross-sectional) networks, and (2) merging brain and symptom networks into one integrated model. As a test case we focused on ADHD, using brain and symptom data from the NeuroIMAGE cohort, with the long-term goal of informing treatment that targets both brain and symptoms.

This project was funded by an Amsterdam Brain and Cognition (ABC) Project Grant.

Collaborators: Anouk Schrantee, Don van den Bergh, Linda Douw, Maarten Marsman, Zarah van der Pal.

related papers

Van den Bergh D, Douw L, Van der Pal Z, et al. Jointly estimating individual and group networks from fMRI data. Network Neuroscience 2025; 9: 896-912. [PDF]

Van der Pal Z, […], Schrantee A*, Blanken TF*. Tell me why? A scoping review on the fundamental building blocks of fMRI networks. Neuroimage Clin 2025; 46: 103785. [PDF]

Van der Pal Z, […], Blanken TF*, Schrantee A*. Stimulant medication and symptom interactions in attention-deficit/hyperactivity disorder. Eur Child Adolesc Psychiatry 2024. [PDF]

* shared first/last authorship