Reduced paralimbic system gray matter volume in schizophrenia: Correlations with clinical variables, symptomatology and cognitive function
Introduction
Schizophrenia is one of the most serious and disabling psychiatric disorders, affecting 1% of the population and remaining one of the top ten causes of health burden in the world (Salomon et al., 2012). Schizophrenia is characterized by positive symptoms, negative symptoms and cognitive impairments (Mueser and McGurk, 2004, Fatouros-Bergman et al., 2014). Evidence from structural and functional neuroimaging and electrophysiology suggests that the paralimbic system is involved in psychopathology and cognitive impairment (Kiehl, 2006). However, the role of the paralimbic system in the occurrence of schizophrenia is not clear.
The paralimbic system includes the orbitofrontal cortex (OFC), insular cortex (IC), temporal pole (TP), parahippocampal gyrus (PHG) and cingulate cortex (CC). These regions develop in concert in the embryonic period and share cytoarchitecture and connectivity (Mesulam, 1998, Mesulam, 2000). The paralimbic system is a transition zone from agranular to granular cortex (Mesulam, 1998). Enormous inter-individual variability in paralimbic sulcogyral morphology reflects neurodevelopmental processes, including neuronal migration, local neuronal connection, synaptic development, lamination and formation of cytoarchitecture (Rakic, 1988, Armstrong et al., 1995). Meanwhile, the paralimbic system is also a gradually transitive cytoarchitectonic zone between the primitive allocortex of limbic structure and primary sensory-motor areas, which acts as neural bridges that link the inside to the external environment. With information provided by the external environment, the internal milieu is responsible for regulation of emotion, motivation, memory and autonomic-endocrine function (Mesulam, 1998). The paralimbic system plays an important role in the process of mediating internal and environmental targets. Thus, the paralimbic system is engaged in various functions, such as mood regulation, social behavior, attentional and mnemonic processes, reward processing, motivation, and decision-making (Olson et al., 2007, Nakamura et al., 2008, Larquet et al., 2010, Keller et al., 2013, van Eijndhoven et al., 2013), and therefore has been thought to play an important role in the pathophysiology of psychopathy (Kiehl, 2006).
However, studies focused on paralimbic regions in schizophrenia are relatively few, and the published research findings were inconsistent. Structural neuroimaging studies of schizophrenia with small sample sizes have reported reduced gray matter volume (GMV) in one or more paralimbic regions, including GMV in OFC decreases in 24 patients with schizophrenia (Nakamura et al., 2008), GMV in TP decreases in 27 first-episode patients with schizophrenia (Kasai et al., 2003), and GMV in IC decreases in 20 patients with schizophrenia (Saze et al., 2007). However, Lacerda et al. (2007) reported that OFC volume was increased in 43 first-episode schizophrenic patients and correlated with negative symptoms. Similarly, Hoptman et al. (2005) found that GMV of left OFC was increased in 49 chronic schizophrenia or schizoaffective disorder patients, and the OFC volume increase was associated with greater levels of aggression. Additionally, several studies reported that patients with schizophrenia did not significantly differ from controls in TP morphometric variables, and clinical variables were not significantly related to the GMV of TP (Crespo-Facorro et al., 2004, Roiz-Santiáñez et al., 2010). Taken together, these studies suggested that paralimbic regional abnormalities might exist in patients with schizophrenia. However, further investigation is necessary to resolve the inconsistency between studies. In addition, correlations between alterations in the paralimbic system and symptom severity and cognition have not been investigated.
In the present study, we used high-resolution structural magnetic resonance imaging (sMRI) and voxel-based morphometry (VBM) to study abnormalities of GMV in schizophrenia patients, and evaluated correlations between abnormal GMVs and clinical variables, symptomatology and cognitive function. We hypothesized that GMV decreases would be present in the paralimbic system in patients with schizophrenia, and that these alterations would be associated with clinical variables, psychopathology and cognitive deficits.
Section snippets
Participants
This study was approved by the Medical Research Ethics Committee of the Institute of Mental Health, Peking University. All participants provided written informed consent after description of the study. One hundred and nine patients with schizophrenia were recruited from the Institute of Mental Health, Peking University. All patients were assessed by trained psychiatrists using the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I, patient edition). Patients with neurologic
Clinical variables, symptomatology and cognitive function of participants
There was no significantly difference in age, gender ratio or years of education between patients and HCs. According to the PANSS rating, schizophrenic patients were moderately to severely impaired. Additionally, the patients showed significantly poorer performance than HCs on the DSST, CFT and WMQ-R (see Table 1 for details).
Comparisons of brain gray matter volume
Compared with HCs, patients with schizophrenia showed significant GMV decreases in the paralimbic system, including bilateral OFC, IC and TP. In addition, the GMVs of
Discussion
This study supports the hypothesis that reductions of GMV are present in the paralimbic system in schizophrenia patients, including bilateral OFC, IC and TP. The GMV in bilateral STG decreased in schizophrenia as well. We also found that the GMVs in bilateral OFC, left IC, left TP and bilateral STG were positively correlated with rating of processing speed; the GMV in bilateral OFC was positively correlated with rating of memory in all participants. Additionally, in patient group, reduced GMV
Role of funding source
The current study was supported by the National Basic Research Program of China (2011CB707805, Jun Yan), the National Natural Science Foundation of China (91232305, Dai Zhang, 81361120395, Dai Zhang, 91432304, Dai Zhang and 81370032, Hao Yan), National Key Technology R&D Program of China (2015BAI13B01, Dai Zhang).
Contributors
Jinmin Liao and Hao Yan contributed to the study design, data collection, data management, MRI post-processing, statistical analyses and writing of the manuscript. Qi Liu, Jun Yan, Lanlan Zhang, Sisi Jiang, Xiao Zhang, Zheng Dong, Wen Yang, Liwei Cai, Huining Guo, Yan Wang, Zimeng Li and Lin Tian contributed to data collection, psychometrical evaluations, MRI acquisition, data management and writing of the manuscript. Dai Zhang contributed to original study design, data collection supervision,
Conflict of interest
All authors declare that they have no conflicts of interest.
Acknowledgment
The authors thank to the Department of Radiology, the Third Hospital, Peking University, for providing the equipment for neuroimagings. We also thank Yu Zhang, Ph.D., and Yong Yang, Ph.D. for their valuable consultation on data analysis.
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These authors contributed equally to this work as joint first authors.