6 citations · 12 across the 8 of their papers we have counts for
10 papers
Energy, Information, and the Limits of Neuropsychiatric Classification
Farbod Khodadadi, Mina Kheirkhah, Bita Shariatpanahi +15
Importance: The search for reliable neuroimaging biomarkers of mental disorders has remained elusive despite decades of research. Why clinically consequential disorders yield weak…
AI-Driven Neural Surrogates for In Silico Design of Cognitive-Affective Neuromodulation Targets
Marco Rothermel, Madleen Stenger, Soroush Daftarian +7
In neuropsychiatry, the primary goal is often not only to decode brain activity but to change it, for example to lessen a negative affective bias or an overly salient memory. Motiv…
Perturbational Validity for Foundation Models of Brain Dynamics: A Controlled Proof-of-Principle Simulation
José C. Garcí Alanis, Sarah Alizadeh, Marco Rothermel +5
Foundation models for human brain recordings are usually evaluated by signal reconstruction, future-state prediction, and transfer to downstream tasks. However, these benchmarks do…
Responsible Evaluation of AI for Mental Health
Hiba Arnaout, Anmol Goel, H. Andrew Schwartz +13
Although artificial intelligence (AI) shows growing promise for mental health care, current approaches to evaluating AI tools in this domain remain fragmented and poorly aligned wi…
Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires
Doan Nam Long Vu, Rui Tan, Lena Moench +10
Large Language Models (LLMs) are promising tools for synthetic data generation in mental health. However, privacy policies and restrictions forced previous work to rely mainly on g…
Neural Constraints on Cognitive Experience and Mental Health
Bita Shariatpanahi, Erfan Nozari, Soroush Daftarian +9
Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuroscience and psychiatry. Here, we present a novel framework leveraging state-to-out…
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…
Towards a Network Control Theory of Electroconvulsive Therapy Response
Tim Hahn, Hamidreza Jamalabadi, Erfan Nozari +24
Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of…
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…
Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder
Tim Hahn, Nils R. Winter, Jan Ernsting +27
Background: A therapeutic intervention in psychiatry can be viewed as an attempt to influence the brain's large-scale, dynamic network state transitions underlying cognition and be…