Despite years of research, we are still not able to reliably predict who might benefit from
electroconvulsive therapy (ECT) treatment. As we exhaust what is possible using traditional …

Despite the growing deployment of network representation to comprehend psychological
phenomena, the question of whether and how networks can effectively describe the effects …

Objective: Recent progress in network sciences has made it possible to apply key findings
from control theory to the study of networks. Referred to as network control theory, this …

Symptom fluctuation is one of the hallmarks of major depression. However, a principled,
quantitative framework explaining when and how symptoms change remains elusive …

Network control theory models how gray matter regions transition between cognitive states
through associated white matter connections, where controllability quantifies the contribution …

Graph data is an omnipresent way to represent information in machine learning. Especially,
in neuroscience research, data from Diffusion-Tensor Imaging (DTI) and functional Magnetic …

With significant investments in neuroscience over the past years, our understanding of the
brain, its link to behavior, and related disorders has greatly improved. However, a notable …

In this paper, we explore the psychological relevance, similarity to brain representations,
and subject-invariance of latent space representations in generative models. Using fMRI …