Simultaneously decreased temporal variability and enhanced variability-strength coupling of emotional network connectivities are related to positive symptoms in patients with schizophrenia.

Affiliation

Deng Y(#)(1)(2), Han S(#)(1)(2), Cheng D(3), Li H(1)(2), Zhang B(4), Kong Y(5), Lin Y(6), Li Y(7), Wen G(8), Liu K(9)(10).
Author information:
(1)School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221006, China.
(2)Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China.
(3)Department of Radiology, the First People's Hospital of Foshan, Foshan, China.
(4)Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.
(5)Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China.
(6)Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University
(Guangzhou Huiai Hospital), Guangzhou, China.
(7)Department of Ultrasonography, Nanfang Hospital, Southern Medical University, Guangzhou, China.
(8)Medical Imaging Department, Nanfang Hospital, Southern Medical University, No.1023, South Shatai Road, Baiyun District, Guangzhou, China. [Email]
(9)School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221006, China. [Email]
(10)Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China. [Email]
(#)Contributed equally

Abstract

We hypothesize that decreased temporal variability of emotional network connectivities, corresponding to a continual state of hyperactivity, may play a role in mediating symptoms in schizophrenia. Resting-state magnetic resonance data were collected from 64 subjects, including 21 positive symptom profile schizophrenia patients (PSZ group), 19 negative symptom profile schizophrenia patients (NSZ group), and 24 healthy controls. The emotional brain network was defined based on the coordinates obtained from multi-level kernel density analysis. The temporal variability of intra-network functional connectivities (FCs) was calculated by constructing networks from blood oxygen level-dependent signals at successive, non-overlapping time windows, and was compared between groups. The results showed that the mean FC-variability of the whole emotional network (P = 0.021), and the FC-variabilities in the bilateral anterior insula (both, P < 0.001) were significantly decreased in the PSZ group compared with the control and NSZ groups. Abnormally enhanced negative coupling between variability and FC strength (V-S coupling) was observed in the PSZ group (P = 0.027). In summary, this study found a relation between the positive symptoms of schizophrenia and decreased variability of emotional network connectivities. These findings may help us better understand the neurobiological effect of the time-varying properties of the brain network in schizophrenia patients, and the underlying relation to the generation of psychosis.