Table 1.

Connectivity within the three identified patient clusters. The table summarizes the connectivity of the three clusters identified by Gaussian mixture modelling of the 41 individual dynamic causal models of patients with schizophrenia. Each row shows a particular model parameter. All parameter estimates are given in terms of mean ± standard error across the patients contained in each cluster. For a graphical interpretation of the means, see Fig. 5b.

Model parameter	Cluster 1 (n = 9)	Cluster 2 (n = 24)	Cluster 3 (n = 7)
VC self-connection	− 1.000 ± 0.001	− 0.994 ± 0.003	− 1.001 ± 0.004
VC → PC	0.036 ± 0.022	0.070 ± 0.036	0.044 ± 0.025
VC → DLPFC	0.055 ± 0.029	0.044 ± 0.018	0.130 ± 0.068
PC → VC	0.017 ± 0.001	0.014 ± 0.004	0.017 ± 0.002
PC self-connection	− 1.000 ± 0.000	− 0.994 ± 0.004	− 0.999 ± 0.001
PC → DLPFC	0.017 ± 0.001	0.014 ± 0.005	0.024 ± 0.007
DLPFC → VC	0.043 ± 0.026	0.021 ± 0.02	0.019 ± 0.004
DLPFC → PC	0.042 ± 0.024	0.034 ± 0.012	0.023 ± 0.008
DLPFC self-connection	− 0.997 ± 0.003	− 0.998 ± 0.001	− 0.996 ± 0.003
WM modulation of VC → DLPFC	0.110 ± 0.227	0.124 ± 0.102	0.267 ± 0.135
WM modulation of DLPFC → PC	0.204 ± 0.191	− 0.023 ± 0.017	0.071 ± 0.064
Direct input to VC	0.073 ± 0.043	0.074 ± 0.043	0.104 ± 0.020