Imperial College London

Professor Paul M. Matthews

Faculty of MedicineDepartment of Brain Sciences

Edmond and Lily Safra Chair, Head of Department



+44 (0)20 7594 2855p.matthews




Ms Siobhan Dillon +44 (0)20 7594 2855




E502Burlington DanesHammersmith Campus






BibTex format

author = {Liu, Z and Zhang, J and Zhang, K and Zhang, J and Li, X and Cheng, W and Li, M and Zhao, L and Deng, W and Guo, W and Ma, X and Wang, Q and Matthews, PM and Feng, J and Li, T},
doi = {10.1002/hbm.24190},
journal = {Human Brain Mapping},
pages = {3503--3515},
title = {Distinguishable brain networks relate disease susceptibility to symptom expression in schizophrenia},
url = {},
volume = {39},
year = {2018}

RIS format (EndNote, RefMan)

AB - Disease association studies have characterized altered resting-state functional connectivities describing schizophrenia, but failed to model symptom expression well. We developed a model that could account for symptom severity and meanwhile relate this to disease-related functional pathology. We correlated BOLD signal across brain regions and tested separately for associations with disease (disease edges) and with symptom severity (symptom edges) in a prediction-based scheme. We then integrated them in an "edge bi-color" graph, and adopted mediation analysis to test for causality between the disease and symptom networks and symptom scores. For first-episode schizophrenics (FES, 161 drug-naïve patients and 150 controls), the disease network (with inferior frontal gyrus being the hub) and the symptom-network (posterior occipital-parietal cortex being the hub) were found to overlap in the temporal lobe. For chronic schizophrenis (CS, 69 medicated patients and 62 controls), disease network was dominated by thalamocortical connectivities, and overlapped with symptom network in the middle frontal gyrus. We found that symptom network mediates the relationship between disease network and symptom scores in FEP, but was unable to define a relationship between them for the smaller CS population. Our results suggest that the disease network distinguishing core functional pathology in resting-state brain may be responsible for symptom expression in FES through a wider brain network associated with core symptoms. We hypothesize that top-down control from heteromodal prefrontal cortex to posterior transmodal cortex contributes to positive symptoms of schizophrenia. Our work also suggests differences in mechanisms of symptom expression between FES and CS, highlighting a need to distinguish between these groups.
AU - Liu,Z
AU - Zhang,J
AU - Zhang,K
AU - Zhang,J
AU - Li,X
AU - Cheng,W
AU - Li,M
AU - Zhao,L
AU - Deng,W
AU - Guo,W
AU - Ma,X
AU - Wang,Q
AU - Matthews,PM
AU - Feng,J
AU - Li,T
DO - 10.1002/hbm.24190
EP - 3515
PY - 2018///
SN - 1065-9471
SP - 3503
TI - Distinguishable brain networks relate disease susceptibility to symptom expression in schizophrenia
T2 - Human Brain Mapping
UR -
UR -
UR -
VL - 39
ER -