Resting-State Neural Geometry Across Depressive Symptom Burden

This compact empirical report analyzes resting-state EEG from OpenNeuro ds003478 with NeuralManifoldDynamics 2.1, using Beck Depression Inventory (BDI) score as the primary clinical axis. The main result is that depressive symptom burden is more clearly expressed in reachability geometry and higher-dimensional local Jacobian dynamics than in coarse 3D state-space summaries, with the dominant pattern looking more like a low-to-elevated symptom regime shift than a simple monotonic severity gradient.