Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia

Author:

Kong Li12,Herold Christina J3,Cheung Eric F C4,Chan Raymond C K25,Schröder Johannes3

Affiliation:

1. College of Education, Shanghai Normal University, Shanghai, China

2. Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

3. Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany

4. Department of Adult Psychiatry, Castle Peak Hospital, Hong Kong, China

5. Department of Psychology, the University of Chinese Academy of Sciences, Beijing, China

Abstract

Abstract Neurological soft signs (NSS) are often found in patients with schizophrenia. A wealth of neuroimaging studies have reported that NSS are related to disturbed cortical-subcortical-cerebellar circuitry in schizophrenia. However, the association between NSS and brain network abnormalities in patients with schizophrenia remains unclear. In this study, the graph theoretical approach was used to analyze brain network characteristics based on structural magnetic resonance imaging (MRI) data. NSS were assessed using the Heidelberg scale. We found that there was no significant difference in global network properties between individuals with high and low levels of NSS. Regional network analysis showed that NSS were associated with betweenness centrality involving the inferior orbital frontal cortex, the middle temporal cortex, the hippocampus, the supramarginal cortex, the amygdala, and the cerebellum. Global network analysis also demonstrated that NSS were associated with the distribution of network hubs involving the superior medial frontal cortex, the superior and middle temporal cortices, the postcentral cortex, the amygdala, and the cerebellum. Our findings suggest that NSS are associated with alterations in topological attributes of brain networks corresponding to the cortical-subcortical-cerebellum circuit in patients with schizophrenia, which may provide a new perspective for elucidating the neural basis of NSS in schizophrenia.

Funder

National Key Research and Development Programme

Beijing Training Project for the Leading Talents in Science and Technology

CAS Key Laboratory of Mental Health, Institute of Psychology

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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