A Data-Driven Closed-Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
Niklas Emonds, Evelyn Herberg, Martin Fungisai Gerchen, Marc Pritsch, Joshua Rocha, Vera Zamoscik, Peter Kirsch, Roland Herzog, Georgia Koppe
The paper uses a data-driven framework combining dynamical system reconstruction and model predictive control to analyze neural state transitions in fMRI data from individuals with remitted major depressive disorder and healthy controls.
Human Brain Mapping · Jul 15, 2026Peer-reviewedNeuroscience