Fig. 1: The temperature parameter controlling network behavior in depression.
From: Network temperature as a metric of stability in depression symptoms across adolescence
a, A lower temperature (higher β) characterizes more stable networks with a greater alignment of node states, leading to less variability in symptom configurations. b, Low-temperature networks occupy two stable states: one corresponding to a healthy (nondepressed) state and the other to a high-depression state, resulting in a bimodal distribution. c, High-temperature networks exhibit greater within-person variability, existing in a single, intermediate unstable state with more fluctuation in symptom configurations.
