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20212026
most citedA Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2026

Deviance from a pink noise regime in the temporal organization of semantic relations in psychosis

Paola Moreno Ancalmo, Emre Bora, Rieke Roxanne Mülfarth +5

The notion of pink noise refers to 'scale-invariant' temporal dynamics, where fluctuations exhibit similar statistical structure across time scales. Departures from a regime associ…

cs.CL2026

The grip of grammar on meaning uncertainty: cross-linguistic evidence, neural correlates, and clinical relevance

Rui He, Claudio Palominos, Samuele Vallisa +16

Isolated word meanings are inherently uncertain. This uncertainty reduces when they are combined and anchored in context. We propose that grammar compresses meaning uncertainty cro…

eess.IV2024

deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks

Lukas Fisch, Nils R. Winter, Janik Goltermann +25

Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI…

q-bio.QM2023★ 2 cited

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng +84

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if…

eess.SY2021★ 4 cited

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder

Tim Hahn, Hamidreza Jamalabadi, Daniel Emden +31

Background: The evolution of symptoms over time is at the heart of understanding and treating mental disorders. However, a principled, quantitative framework explaining symptom dyn…