Abnormalities of localized connectivity in schizophrenia patients and their unaffected relatives: a meta-analysis of resting-state functional magnetic resonance imaging studies
Authors Xiao B, Wang S, Liu J, Meng T, He Y, Luo X
Received 4 November 2016
Accepted for publication 10 January 2017
Published 14 February 2017 Volume 2017:13 Pages 467—475
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Wai Kwong Tang
Bo Xiao, Shuai Wang, Jianbo Liu, Tiantian Meng, Yuqiong He, Xuerong Luo
Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, People’s Republic of China
Objective: The localized dysfunction of specialized brain regions in schizophrenia patients and their unaffected relatives has been identified in a large-scale brain network; however, evidence is inconsistent. We aimed to identify abnormalities in the localized connectivity in schizophrenia patients and their relatives by conducting a meta-analysis of regional homogeneity (ReHo) studies.
Methods: Fourteen studies on resting-state functional magnetic resonance imaging, with 316 schizophrenia patients, 342 healthy controls, and 66 unaffected relatives, were included in the meta-analysis. This analysis was performed using anisotropic effect-size-based signed differential mapping software.
Results: Schizophrenia patients showed increased ReHo in right superior frontal gyrus and right superior temporal gyrus, as well as decreased ReHo in left fusiform gyrus, left superior temporal gyrus, left postcentral gyrus, and right precentral gyrus. Unaffected relatives showed decreased ReHo in right insula and right superior temporal gyrus. These results remained widely unchanged in both sensitivity and subgroup analyses.
Conclusion: Schizophrenia patients and their unaffected relatives had extensive abnormal localized connectivity in cerebrum, especially in superior temporal gyrus, which were the potential diagnostic markers and expounded the pathophysiological hypothesis for the disorder.
Keywords: schizophrenia, localized connectivity, regional homogeneity, resting-state fMRI, meta-analysis, effect-size-based signed differential mapping
Schizophrenia is characterized by various perceptual, cognitive, social, emotional, linguistic, and motivational disturbances that are differentially expressed in individual patients.1 Although the pathogenesis of schizophrenia has been explored in various fields such as in genetics2 and neural biochemistry,3 it is still undefined. Neuroimaging techniques have been extensively used to address the pathophysiological mechanisms of the disorder over the past decades.4 Furthermore, the abnormality of neuroimaging endophenotypes in schizophrenia is an ideal marker for exploring the relationship of neurodevelopmental abnormalities with genetic and environmental risk factors.5,6
Apart from voxel-based structural neuroimaging and task-based functional magnetic resonance imaging (fMRI) scans, task-free resting-state fMRI (rs-fMRI) studies have been successfully applied to reveal regional activity and functional connectivity in schizophrenia patients.7,8 In recent rs-fMRI studies, a regional homogeneity (ReHo) method was used to analyze the blood oxygen level-dependent signal in cerebrum, assume that a given voxel was temporally similar to those of its neighbors, and then finally reflect localized functional connectivity or synchronization of information processing.9,10
Previous neuroimaging studies about localized connectivity in schizophrenia patients and their unaffected relatives by ReHo analysis have revealed that several regions show abnormal synchronization compared with healthy controls.11–13 However, the evidence is inconsistent. In addition, whether schizophrenia patients and these high-risk individuals (unaffected relatives) share neuropathological characteristics remains unclear. In the present study, we conducted a meta-analysis of these ReHo studies in schizophrenia patients and their unaffected relatives and subsequently identified the changes in these endophenotypes in both individuals.
The study was designed using a voxel-based meta-analysis based on clinical data of statistical maps and peak coordinates collected from previous case–control trials of rs-fMRI regarding changes in localized connectivity in schizophrenia patients and their unaffected relatives. Two researchers (BX and JL) independently reviewed the literature and selected studies to use in the meta-analysis. Any disagreement was resolved through a group discussion.
Literature searches were performed in related databases, including PubMed, Google scholar, and CNKI, before October 2016. The following search terms were combined and used: “schizophrenia/schizophrenic/SZ/SCZ”, “functional MRI/fMRI”, “regional homogeneity/ReHo/localized connectivity/coherence/concordance”, and “relative/sibling/twin”. Publications from conferences, monographs, theses, or reference lists in identified studies were also regarded as potential sources to be included in the meta-analysis.
Inclusion and exclusion criteria
According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines,14 the following criteria were used for inclusion in the meta-analysis: 1) whole-brain analysis was used in task-free rs-fMRI studies; 2) studies included a comparison of the localized connectivity between schizophrenia patients and healthy controls or between patients and their unaffected relatives or between relatives and controls; 3) the coordinates (either Talairach or Montreal Neurologic Institute) of altered brain regions were detailed; and 4) the publication was in English or Chinese. Meanwhile, the following studies were excluded: 1) ROI approaches and 2) studies not performed using rs-fMRI (eg, PET, DTI, and EEG). Two researchers (BX and JL) examined the abstract or full text of all searched articles to identify studies that fit the abovementioned criteria. When multiple studies used the same patient cohort, the one with the largest sample size was selected.
Data extraction and quality scores
Two researchers (SW and TM) independently extracted data from the included studies. The general characteristics of each study, including the first author, year of publication, sample size, onset of disease, medication use, tesla of MRI, image package, full width at half maximum (FWHM), stereotactic space of coordinates, and the threshold, were extracted as the basic data. We also obtained voxel-based data, which included the peak coordinates and t/z values of statistically significant differences in localized connectivity between schizophrenia patients and healthy controls or between unaffected relatives and healthy controls or between schizophrenia patients and their unaffected relatives. Missing data were acquired from the corresponding authors of the study by email. If missing data cannot be acquired, the papers were excluded. Any disagreement about the data was resolved through group discussions with consensus. All data were checked for internal consistency. The quality of the included studies was evaluated using a checklist that focused on both the clinical and demographic aspects of individual study samples and the imaging-specific methodology used in the studies.15,16 We also adopted recently established preprocessing and computational parameters.10,17
Anisotropic effect size-based signed differential mapping (AES-SDM) analysis
The meta-analysis of rs-fMRI studies was performed using AES-SDM software, which has been previously used in several neuropsychiatric disorders.18–20 AES-SDM software is a voxel-based meta-analytic approach that enabled the use of reported peak coordinates of localized functional connectivity difference in whole-brain studies.21 The SDM method has been previously described.22
Researchers BX and YH performed the meta-analysis. The main threshold was set at uncorrected P<0.001 (empirically equivalent to P<0.05, corrected)19 with z score >1 (peak height) and cluster extent ≥20 voxels. The default settings in the AES-SDM software were used for other parameters. A leave-one-out jackknife analysis was used to determine the sensitivity of the reported results to the inclusion of individual studies.17 Heterogeneity among studies was assessed through the Q statistic with a threshold of P<0.05. Subgroup analysis was performed based on disease onset (first or not) and medicated status (medication-free or medicated).
Basic information of included studies
The entire search process is as described in the QUOROM-type flowchart (Figure 1). Fourteen rs-fMRI studies on localized functional connectivity met the inclusion criteria, 1311,12,23–33 of which were involved in schizophrenia patients vs healthy controls, three11,13,24 of which were involved in unaffected relatives vs healthy controls, and one24 of which was involved in schizophrenia patients vs healthy controls. The overall sample was equivalent to a cohort of 316 schizophrenia patients, 342 healthy controls, and 66 unaffected relatives contributing data to the meta-analysis. The clinical information and quality scores of each study are detailed in Tables 1 and 2. All studies were from China and well matched in age and gender.
Table 1 General characteristics of the included studies for meta-analysis
Figure 1 Flowchart of the selection process.
fMRI meta-analysis of the comparison between schizophrenia patients and healthy controls
Results of the comparison between schizophrenia patients and healthy controls from the AES-SDM analysis are summarized in Figure 2 and Table 3. The most robust findings revealed that schizophrenia patients had increased ReHo in right superior frontal gyrus and right superior temporal gyrus, whereas decreased ReHo was noted in left fusiform gyrus, left superior temporal gyrus, left postcentral gyrus, and right precentral gyrus. Jackknife sensitivity analysis showed that all these results were highly replicable. Analysis of heterogeneity suggested that two regions (right superior frontal gyrus and left fusiform gyrus) with altered ReHo had significant statistical heterogeneity among included studies. Subgroup analysis further revealed that the first episode affected the altered ReHo in right superior frontal gyrus and left superior temporal gyrus, whereas drug-naïve affected that in right superior frontal gyrus and left fusiform gyrus.
Table 3 Altered ReHo in schizophrenia patients compared with healthy controls
fMRI meta-analysis of the comparison between unaffected relatives and healthy controls
Results of the comparison between unaffected relatives and healthy controls from the AES-SDM analysis are summarized in Figure 3 and Table 4. The most robust findings revealed that unaffected relatives only had decreased ReHo in right insula and right superior temporal gyrus. Jackknife sensitivity and heterogeneity analyses showed that the decreased ReHo in right superior temporal gyrus was highly replicable and consistent in the included studies.
Table 4 Altered ReHo in unaffected relatives compared with healthy controls
The key finding of this meta-analysis was that schizophrenia patients exhibited a significantly increased ReHo in right superior frontal gyrus and right superior temporal gyrus and decreased ReHo in left fusiform gyrus, left superior temporal gyrus, left postcentral gyrus, and right precentral gyrus, whereas unaffected relatives showed decreased ReHo in right insula and right superior temporal gyrus. These changes were highly replicable in sensitivity and subgroup analyses. Particularly, in both patients and unaffected relatives, no consistent region was found to be changed compared with controls, indicating that abnormal localized functional connectivity may be widely and uniquely distributed in schizophrenia patients and their unaffected relatives during the resting-state. Two possible explanations may account for these results. 1) The disrupted localized connectivity in frontal and temporal cortex may be associated with the characteristic symptoms of schizophrenia, which are apparent only in patients; however, unaffected siblings are free from severe psychotic symptoms. Therefore, siblings may restrict to focal regions rather than large-scale changes in localized functional connectivity. 2) Siblings of schizophrenia patients, bearing less genetic burdens than the patient’s discordant twins, only have 9% increased risk for the disease. This percentage may be inadequate for reflecting some brain abnormalities evidenced in patients.34,35
Previously, two meta-analyses of rs-fMRI studies have reported abnormal localized neural connections in schizophrenia.36,37 Kühn et al36 found hypoactivation in ventromedial prefrontal cortex, left hippocampus, posterior cingulate cortex, and lower precuneus and the precuneus, as well as hyperactivation in bilateral lingual gyrus of schizophrenic patients by using activation likelihood estimation. Li et al37 performed a meta-analysis by using the Liptak–Stouffer z-score method to summarize stage-specific functional connectivity changes in multiple centers. Their results suggest that first-episode patients have 82 functional connections significantly differing from controls, and 94% of these are in frontal lobe meta. However, chronic-stage patients show functional connectivity differences from controls that become much more widespread (with 162 altered links), with the most prominent ones being in thalamus bilaterally (58 links) and cingulate cortex (49 links). All three meta-analyses (Kühn et al,36 Li et al,37 and the present study) have revealed abnormal localized functional connections in prefrontal cortex in schizophrenia patients, but our study further demonstrated its abnormalities in unaffected relatives and the surrounding of central lobule. We also calculated the effect size of each cluster with abnormal localized neural connection and included only rs-fMRI studies performed by using ReHo analysis, which can decrease heterogeneity results from methodology and may have advantages for reflecting the localized synchronization of information processing.9,31 Our results were partially replicated in the abovementioned meta-analyses, and differences may result from our inclusion of recent studies by using ReHo analysis, the software used for the meta-analysis, and the particular parameter settings. Notably, the advantage of our meta-analysis was the systematic and comprehensive comparison among the three populations (ie, patients, unaffected relatives, and controls).
Superior temporal gyrus, a popular focus in studies on schizophrenia, may be the most interesting brain region in the present meta-analysis due to its changes in both the patients and unaffected relatives. Previous longitudinal MRI studies have reported a marked progressive decrease in superior temporal gyrus gray matter in both schizophrenia patients and their unaffected relatives.38–41 Our previous study on a single center has also demonstrated that schizophrenia patients have smaller gray matter volume and dysfunctional connectivity in superior temporal gyrus.42 Partly consistent with previous inclusion studies, the present meta-analysis showed that schizophrenia patients had localized connectivity decreased in left superior temporal gyrus and increased in right superior temporal gyrus, whereas unaffected relatives had decreased localized connectivity in right superior temporal gyrus. These results suggested that patients and relatives did not share the same change in these brain regions. The abnormalities in the superior temporal gyrus may play a crucial role in defects of memory, language processing, and auditory in schizophrenia,43 which may result from abnormal synaptic pruning and myelination during the neurodevelopmental process.44 Hence, we infer that although schizophrenia patients and their unaffected relatives had different abnormalities of localized connectivity in the superior temporal gyrus, the pathogenesis of the disorder may also be involved in abnormal changes in synaptic pruning and myelination under the different stages and environments of the neurodevelopmental process.
The surroundings of central lobule may be the second most interesting brain regions in our meta-analysis. Cortical volume reduction in the paracentral and precentral lobule of the sensory and motor networks has been reported in schizophrenia patients.45–47 Compared with healthy controls, schizophrenia patients had significantly reduced local functional connectivity density in paracentral lobule48,49 but decreased ReHo values in precentral lobule,23,29 which were consistent with the findings in the present work. Abnormalities in the surroundings of central lobule in schizophrenia patients suggested that sensorimotor cortex (SMC) may contribute to the development of the disorder. Dopaminergic terminals and receptors are known to be present in SMC50 and have the effect of reducing SMC excitability,51 suggesting that modulation may render SMC circuitry effective in processing sensory information. The abnormalities of localized connectivity in these regions in SMC may be associated with neurodevelopmental problems, such as neuronal overgrowth and a deficit in normal synaptic pruning during neurogenesis.44 From infancy, through childhood and adolescence, and into adulthood, the structural and functional maturation of neural pathways clearly connects a set of specialized brain regions related to cognitive, motor, and sensory functions.44 However, many different “connectivities” occur during neurogenesis.44 Previous studies have reported that neurodevelopment in youth is associated with increased distant connectivity and decreased local connectivity.52,53 Furthermore, considering that schizophrenia is a disorder of neurodevelopment,54 its disturbed neural connectivity is based on alterations in synaptic connection strength and indicates regional integration of information processing.10,55 Hence, the abnormal localized functional connectivity in the surroundings of central lobule within SMC may be accompanied by a neural development process and contribute to the injured information processing in schizophrenia.
Other uniquely regional changes in localized functional connectivity in patients or unaffected relatives, such as right superior frontal gyrus, left fusiform gyrus, and right insula, may also play key roles in the neuropathological endophenotypes of schizophrenia. Although the functionality of these brain regions is not fully understood, it has been linked with various neural pathways related to emotion, self-awareness, recognition, and so on,56–58 which are impaired in schizophrenia patients.59,60 In summary, our voxel-based meta-analyses identified several brain regions with abnormal localized functional connectivity in schizophrenia patients and their relatives. These abnormalities may reflect the neuropathological characteristics of this disorder and serve as a basis for establishing objective diagnostic markers for schizophrenia. Our results may also help identify the role of genetic and environmental factors in the abnormal neurodevelopment that occurs in schizophrenia.
A few limitations exist in this study. 1) We did not include studies without coordinates or with negative results. 2) Publications containing rs-fMRI data were limited, which may have led to inadequate sample size. 3) The AES-SDM software allows only peak coordinates or statistical maps to be entered as original data. Thus, the meta-analysis included only rs-fMRI studies using ReHo as a physiologically meaningful indicator of localized functional connectivity. In addition, no abnormal brain region was shared by patients and unaffected relatives. This finding may partly impede a complete understanding of the association between brain abnormalities and the pathogenesis of schizophrenia. Therefore, more studies should be conducted on structure, activity, and function in schizophrenia patients and their unaffected relatives.
Despite these limitations, the present meta-analysis revealed that schizophrenia patients and their unaffected relatives had extensive abnormal localized connectivity in cerebrum, especially in superior temporal gyrus, which were the potential diagnostic markers and expounded the pathophysiological hypothesis for the disorder.
The authors thank Yi He (Chengdu FX Biotechnology Co., Ltd.) for assistance in the methodological preparation. This study was funded by the National Science and Technology Ministry (2012BAI01B02).
The authors report no conflicts of interest in this work.
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