Both forward and backward working memory span tasks have been used in cognitive training, but no study has been conducted to test whether the two types of trainings are equally effective. Based on data from a randomized controlled trial, this study (N = 60 healthy college students) tested the effects of backward span training, forward span training, and no intervention. Event-related potential (ERP) signals were recorded at the pre-, mid-, and post-tests while the subjects were performing a distractor version of the change detection task, which included three conditions (2 targets and 0 distractor [2T0D]; 4 targets and 0 distractor [4T0D]; and 2 targets and 2 distractors [2T2D]). Behavioral data were collected from two additional tasks: a multi-object version of the change detection task, and a suppress task. Compared to no intervention, both forward and backward span trainings led to significantly greater improvement in working memory maintenance, based on indices from both behavioral (Kmax) and ERP data (CDA_2T0D and CDA_4T0D). Backward span training also improved interference control based on the ERP data (CDA_filtering efficiency) to a greater extent than did forward span training and no intervention, but the three groups did not differ in terms of behavioral indices of interference control. These results have potential implications for optimizing the current cognitive training on working memory.

Gene HCN1 polymorphism (rs1501357) has been proposed to be one of the candidate risk genes for schizophrenia in the second report of the Psychiatric Genomics Consortium–Schizophrenia Workgroup. Although animal studies repeatedly showed a role of this gene in working memory, its contribution to working memory in human samples, especially in schizophrenia patients, is still unknown. To explore the association between rs1501357 and working memory at both behavioral (Study 1) and neural (Study 2) levels, the current study involved two independent samples. Study 1 included 876 schizophrenia patients and 842 healthy controls, all of whom were assessed on a 2-back task, a dot pattern expectancy task (DPX), and a digit span task. Study 2 included 56 schizophrenia patients and 155 healthy controls, all of whom performed a 2-back task during functional magnetic resonance imaging (fMRI) scanning. In both studies, we consistently found significant genotype-by-diagnosis interaction effects. For Study 1, the interaction effects were significant for the three tasks. Patients carrying the risk allele performed worse than noncarriers, while healthy controls showed the opposite pattern. For Study 2, the interaction effects were observed at the parietal cortex and the medial frontal cortex. Patients carrying the risk allele showed increased activation at right parietal cortex and increased deactivation at the medial frontal cortex, while healthy controls showed the opposite pattern. These results suggest that the contributions of rs1501357 to working memory capability vary in different populations (i.e., schizophrenia patients vs. healthy controls), which expands our understanding of the functional impact of the HCN1 gene. Future studies should examine its associations with other cognitive functions.

A recent Chinese genome-wide association study found evidence for 58 out of the 128 schizophrenia-associated variants previously discovered in Western samples by the Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC). However, the functional impact of these trans-ancestry genome-wide single-nucleotide polymorphisms (SNPs) is not clear. In the current study, we examined the roles of trans-ancestry SNPs in cognitive and neural plasticity. We first performed a behavioral study of 547 healthy volunteers, who received month-long working memory training, and working memory capability assessment both before and after the training. A separate sample of 101 subjects received the same training and received fMRI scans during a working memory task, both before and after the training. The behavioral study found a significant association between the polygenic risk score (PRS) and behavioral plasticity, with higher schizophrenia risk scores being linked to less plasticity. At the SNP level, rs36068923 showed a significant signal, with the risk allele being associated with less plasticity. The fMRI study further found that the PRS and rs36068923 polymorphism were associated with training-induced changes in striatal activation, with higher PRS and the risk allele of rs36068923 being linked to less brain plasticity. In sum, this study found that a high genetic risk for schizophrenia was associated with less plasticity at both behavioral and neural levels. These results provide new insights into the neural and cognitive mechanisms linking genes to schizophrenia.

One of the main goals of the new generation of antipsychotics is to improve cognitive functions of schizophrenia patients, which makes it necessary to identify genes related to not only schizophrenia but also its cognitive impairments. Starting with 58 trans-ancestry risk variants found in a genome-wide association study of Chinese schizophrenia patients, we conducted two studies with four samples to systematically examine these variants’ potential roles in working memory. Study 1 was a behavioral study (Sample I included 510 healthy volunteers who completed the n-back, dot-pattern expectancy [DPX], delayed match-to-sample [DMS], and spatial span tasks; Sample II included 819 healthy volunteers and 893 schizophrenia patients who completed the n-back and DPX tasks). Study 2 was an fMRI study (Sample III included 163 healthy volunteers and 52 schizophrenia patients, who were scanned with fMRI during an n-back task; and Sample IV included 89 healthy volunteers, who were scanned during a spatial span task). Sample I identified rs11210892 as the only SNP that was associated with performance on multiple tasks (n-back, DPX, and DMS) after Bonferroni correction. Sample II replicated this association on the n-back task and the DPX task. FMRI data showed that the risk allele “G” of rs11210892 was associated with an increased activation within the right dorsolateral prefrontal cortex (Sample III) and the bilateral striatum (Sample IV). We conclude that rs11210892 is significantly associated with working memory and its neural underpinnings, so the genes near this SNP might be potential gene targets for treating cognitive impairment associated with schizophrenia.

AbstractBackgroundThe Arsenic (+3 oxidation state) methyltransferase (AS3MT) gene has been identified as a top risk gene for schizophrenia in several large-scale genome-wide association studies. A variable number tandem repeat (VNTR) of this gene is the most significant expression quantitative trait locus, but its role in brain activity in vivo is still unknown.MethodsWe first performed a functional magnetic resonance imaging (fMRI) scan of 101 healthy subjects during a memory span task, trained all subjects on an adaptive memory span task for 1 month, and finally performed another fMRI scan after the training. After excluding subjects with excessive head movements for one or more scanning sessions, data from 93 subjects were included in the final analyses.ResultsThe VNTR was significantly associated with both baseline brain activation and training-induced changes in multiple regions including the prefrontal cortex and the anterior and posterior cingulate cortex. Additionally, it was associated with baseline brain activation in the striatum and the parietal cortex. All these results were corrected based on the family-wise error rate method across the whole brain at the peak level.ConclusionsThis study sheds light on the role of AS3MT gene variants in neural plasticity related to memory span training.

ZNF804A has now been recognized as a schizophrenia risk gene by multiple genome-wide association studies with its intronic polymorphism rs1344706 being reported as the first genome-wide significant risk variant for schizophrenia. Although the functional impact of this gene is still unknown, rs1344706's contribution to the functional coupling between the right dorsolateral prefrontal cortex (DLPFC) and the contralateral hippocampal formation (HF) has been reported by several studies. The current study tested whether the right DLPFC-left HF functional coupling showed plasticity during cognitive training (Study I) and whether rs1344706 affected the plasticity (Study II). In Study I, we conducted a randomized controlled trial with 30 subjects receiving 20 sessions of adaptive training on a memory span task (the training group) and 30 subjects practicing on a non-adaptive easy version of the same memory span task for 20 sessions (the control group). All subjects were scanned using fMRI before and after the training. Analyses of resting-state and task-state fMRI data consistently showed that the adaptive memory span training significantly strengthened the right DLPFC-left HF functional coupling. In Study II, we conducted a genetic association study with 101 subjects (combining the data from the training group in Study I with those from an additional subsequent sample of 71 subjects who received the same training and fMRI scans). Results showed that rs1344706 was significantly associated with training-induced changes in functional coupling. Subjects carrying the non-risk allele (C) of rs1344706 showed greater training-induced plasticity than the risk allele (A) homozygotes. These findings expanded our current understanding of the functional impact of the schizophrenia risk variant of ZNF804A gene and suggested that the ZNF804A gene could be used as a prospective target for future antipsychotic drugs and clinical research.

There is a lot of debate in the literature with regards to whether the effects of working memory span training generalize to working memory tasks that are different from the trained task, however, there is little evidence to date supporting this idea. The present randomized controlled trial included 80 undergraduate students who were randomly assigned to either the experimental group (N = 40) or the control group (N = 40) in order to receive a working memory span intervention for 20 sessions over the course of 4 weeks. Brain electrophysiological signals during a dot pattern expectancy (DPX) task and a change detection task were recorded both before and after the intervention. The amplitudes of characteristic event-related potential (ERP) components reflecting working memory maintenance capability during the delay period of both tasks (i.e., the contingent negative variation or CNV, derived from the DPX task, and the contralateral delay activity or CDA, derived from the change detection task) were used as the primary outcome measures. Our data indicated that the intervention resulted in specific changes in both, the CNV and the CDA, suggesting that working memory span training generalized to working memory maintenance processes as observed in working memory tasks that were different from the trained task. We conclude that working memory span training might serve as a useful tool to improve working memory maintenance capability.

Abstract Background Genetic factors have been suggested to affect the efficacy of working memory training. However, few studies have attempted to identify the relevant genes. Methods In this study, we first performed a randomized controlled trial (RCT) to identify brain regions that were specifically affected by working memory training. Sixty undergraduate students were randomly assigned to either the adaptive training group (N = 30) or the active control group (N = 30). Both groups were trained for 20 sessions during 4 weeks and received fMRI scans before and after the training. Afterward, we combined the data from the 30 participants in the RCT study who received adaptive training with data from 71 additional participants who also received the same adaptive training but were not part of the RCT study (total N = 101) to test the contribution of the COMT Val158/108Met polymorphism to the interindividual difference in the training effect within the identified brain regions. Results In the RCT study, we found that the adaptive training significantly decreased brain activation in the left prefrontal cortex (TFCE‐FWE corrected p = .030). In the genetic study, we found that compared with the Val allele homozygotes, the Met allele carriers' brain activation decreased more after the training at the left prefrontal cortex (TFCE‐FWE corrected p = .025). Conclusions This study provided evidence for the neural effect of a visual–spatial span training and suggested that genetic factors such as the COMT Val158/108Met polymorphism may have to be considered in future studies of such training.

CACNA1C gene polymorphism rs2007044 has been reported to be associated with schizophrenia, but its underlying brain mechanism is not clear. First, we conducted an exploratory functional magnetic resonance imaging (fMRI) study using an N-BACK task and a Stroop task in 194 subjects (55 schizophrenia patients and 139 healthy controls). Our whole brain analysis found that the risk allele was associated with reduced activation of the left inferior frontal gyms (IFG) during the Stroop task (cluster size = 390 voxels. P < 0.05 TFCE-FWE corrected; peak MNI coordinates: x = -57, y = -6. z = 30). We also conducted a functional near-infrared spectroscopy (fNIRS) study using the same Stroop task in an independent sample of 126 healthy controls to validate the fMRI finding. Our repeated-measures ANCOVA on the six channels (20, 27, 33, 34, 40 and 46) within the left IFG also found significant result. The polymorphism rs2007044 showed significant effect on the oxy-Hb data (F = 5.072, P = 0.026) and showed significant interaction effect with channels on the deoxy-Hb data (F = 2.841, P = 0.015). Taken together, results of this study suggested that rs2007044 could affect the activation of the left IFG, which was a possible brain mechanism underlying the association between CACNA1C gene polymorphism and schizophrenia. (C) 2018 Elsevier B.V. All rights reserved.

Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.

MIR137 gene has been repeatedly reported as a schizophrenia risk gene in genome-wide association studies (GWAS). A polymorphism (rs1625579) at the MIR137 gene has been associated with both neural activation and behavioral performance during a working memory task. This study examined MIR137' s associations with task-related (N-back working memory) fMRI, resting state fMRI, and diffusion tensor images (DTI) data in 177 healthy adults. We found less deactivation of the PCC in risk allele homozygotes (TT) as compared to the GT heterozygotes (cluster size = 630 voxels, cluster level P-FWE < 0.001) during the N-back task, which replicated previous findings. Using the identified cluster within the PCC as the seed, we further found decreased functional connectivity between the PCC and the anterior cingulate cortex and its adjacent medial prefrontal cortex (ACC/MPFC) in risk allele homozygotes during both resting state (cluster size = 427 voxels, cluster level P-FWE = 0.001) and the N-back task (cluster size = 73 voxels, cluster level P-FWE = 0.05). Finally, an analysis of our DTI data showed decreased white matter integrity of the posterior cingulum in risk allele homozygotes (cluster size = 214 voxels, cluster level P-FWE = 0.03). Taken together, rs1625579 seems to play an important role in both functional and structural connectivity between the PCC and the ACC/MPFC, which may serve as the brain mechanisms for the link between rs1625579 and schizophrenia.

The dot pattern expectancy (DPX) task has been strongly recommended as a measure of goal maintenance, which is impaired in schizophrenia patients. The current event-related potential (ERP) study was designed mainly to identify the ERP component that could represent the goal maintenance process of the DPX task as indexed by the error rate of the BX vs. AY (EBX-AY). We focused our analysis on the cue-phased contingent negative variation (CNV) and found a significant association between the EBX-AY and the amplitude of the difference wave of cue B vs. cue A (CNVB-A) (for CP3, β = − 0.262, P = 0.001; for CPZ, β = − 0.184, P = 0.025; for CP4, β = − 0.201, P = 0.015). Lower EBX-AY (better goal maintenance) was correlated with larger CNVB-A. Further analysis found a significant association between the error rate of AY condition (EAY) and the amplitude of CNVA (for CP3, β = − 0.180, P = 0.029; for CPZ, β = − 0.184, P = 0.024; for CP4, β = − 0.208, P = 0.011) and a significant association between the error rate of BX condition (EBX) and the amplitude of CNVB-A (for CP3, β = − 0.198, P = 0.016; for CPZ, β = − 0.165, P = 0.043; for CP4, β = − 0.151, P = 0.066), but not the amplitude of the CNVB (all P > 0.05). All these results together suggested that the cue-phased CNV could be used to represent the goal maintenance process. Future research needs to verify these results with schizophrenia patients.

ZNF804A rs1344706 (A/C) was the first SNP that reached genome-wide significance for schizophrenia. Recent studies have linked rs1344706 to functional connectivity among specific brain regions. However, no study thus far has examined the role of this SNP in the entire functional connectome. In this study, we used degree centrality to test the role of rs1344706 in the whole-brain voxel-wise functional connectome during the resting state. 52 schizophrenia patients and 128 healthy controls were included in the final analysis. In our whole-brain analysis, we found a significant interaction effect of genotype x diagnosis at the precuneus (PCU) (cluster size = 52 voxels, peak voxel MNI coordinates: x = 9, y = -69, z = 63, F = 32.57, FWE corrected P < 0.001). When we subdivided the degree centrality network according to anatomical distance, the whole-brain analysis also found a significant interaction effect of genotype xdiagnosis at the PCU with the same peak in the short-range degree centrality network (cluster size = 72 voxels, F = 37.29, FWE corrected P < 0.001). No significant result was found in the long-range degree centrality network. Our results elucidated the contribution of rs1344706 to functional connectivity within the brain network, and may have important implications for our understanding of this risk gene's role in functional dysconnectivity in schizophrenia.

ANK3 is one of the most promising candidate genes for bipolar disorder (BD). A polymorphism (rs10994336) within the ANK3 gene has been associated with BD in at least three genome-wide association studies of BD [McGuffin et al., 2003; Kieseppä, 2004; Edvardsen et al., 2008]. Because facial affect processing is disrupted in patients with BD, the current study aimed to explore whether the BD risk alleles are associated with the N170, an early event-related potential (ERP) component related to facial affect processing. We collected data from two independent samples of healthy individuals (Ns = 83 and 82, respectively) to test the association between rs10994336 and an early event-related potential (ERP) component (N170) that is sensitive to facial affect processing. Repeated-measures analysis of covariance in both samples consistently revealed significant main effects of rs10994336 genotype (Sample I: F (1, 72) = 7.24, P = 0.009; Sample II: F (1, 69) = 11.81, P = 0.001), but no significant interaction of genotype × electrodes (Ps > 0.05) or genotype × emotional conditions (Ps > 0.05). These results suggested that rs10994336 was linked to early ERP component reflecting facial structural encoding during facial affect processing. These results shed new light on the brain mechanism of this risk SNP and associated disorders such as BD. © 2016 Wiley Periodicals, Inc.

Recently, a single nucleotide polymorphism (SNP) in the CAMKK2 gene (rs1063843) was found to be associated with lower expression of the gene in the dorsolateral prefrontal cortex (DLPFC) and with schizophrenia (SCZ) and deficits in working memory and executive function. However, the brain mechanism underlying this association is poorly understood. A functional magnetic resonance imaging (fMRI) study (N = 84 healthy volunteers) involving multiple cognitive tasks, including a Stroop task (to measure attentional executive control), an N-back task (to measure working memory), and a delay discounting task (to measure decision making) to identify the brain regions affected by rs1063843 was performed. Across all three tasks, it was found that carriers of the risk allele consistently exhibited increased activation of the left DLPFC. In addition, the risk allele carriers also exhibited increased activation of the right DLPFC and the left cerebellum during the Stroop task and of the left caudate nucleus during the N-back task. These findings helped to elucidate the role of CAMKK2 in cognitive functions and in the etiology of SCZ. (C) 2016 Wiley Periodicals, Inc.

ZNF804A is one of the most promising candidate genes for schizophrenia. Previous fMRI studies have repeatedly shown an association between SNP rs1344706 in this gene and the functional connectivity from the right dorsolateral prefrontal cortex (rDLPFC) to the left hippocampal formation (lHF) during the N-back task. However, the rDLPFC–lHF functional connectivity included several subconnections and it is not known whether rs1344706 plays the same role in these subconnections. This study addressed that question using both fMRI and DTI data of 87 subjects. First, we replicated the association between rs1344706 and the rDLPFC–lHF functional connectivity using our fMRI data from the N-back task. Second, we reconstructed fiber connections between rDLPFC and lHF using our DTI data, which included three subconnections: from lHF to posterior cingulate cortex (PCC), from PCC to anterior cingulated cortex (ACC), and from ACC to rDLPFC. We found that only the lHF–PCC tract showed significantly lower fractional anisotropy (FA) in risk allele homozygotes. Finally, we analyzed the fMRI data (from the N-back task and the resting state). Both consistently showed relatively lower lHF–PCC functional connectivity in risk allele homozygotes. Taken together, the disconnectivity of the lHF–PCC tract seems to be a plausible intermediate phenotype that links rs1344706 and schizophrenia.

Nitric oxide (NO), a gaseous neurotransmitter, has been implicated in the pathogenesis of schizophrenia. Accordingly, several polymorphisms of the gene that codes for the main NO-producing enzyme, the nitric oxide synthase 1 (NOS1), have been found to convey a risk for schizophrenia. This study examined the role of NOS1 gene polymorphisms in cognitive functions and related neural mechanism. First, with a sample of 580 schizophrenia patients and 720 healthy controls, we found that rs3782206 genotype had main effects on the 1-back task (P=0.005), the 2-back task (P=0.049), the AY condition of the dot-pattern expectancy (DPX) task (P=0.001), and the conflict effect of the attention network (ANT) test (P<0.001 for RT differences and P=0.002 for RT ratio) and interaction effects with diagnosis on the BX condition of the DPX (P=0.009), the AY condition of the DPX (P<0.001), and the Stroop conflict effect (P=0.003 for RT differences and P=0.038 for RT ratio). Simple effect analyses further showed that the schizophrenia risk allele (T) of rs3782206 was associated with poorer performance in five measures for the patients (1-back, P=0.025; BX, P=0.017; AY, P<0.001; ANT conflict effect (RT differences), P=0.005; Stroop conflict effect (RT differences), P=0.019) and three measures for the controls ( for the 2-back task, P=0.042; for the ANT conlict effect (RT differences), P=0.013; for the ANT conflict effect (RT ratios), P=0.028). Then, with a separate sample of 78 healthy controls, we examined the association between rs3782206 and brain activation patterns during the N-back task and the Stroop task. Whole brain analyses found that the risk allele carriers showed reduced activation at the right inferior frontal gyrus (IFG) during both tasks. Finally, we examined functional connectivity seeded from the right IFG to the dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex under three conditions (the N-back task, the Stroop task, and the resting state). Results showed reduced connectivity with the DLPFC for the risk allele carriers mainly in the Stroop task and the resting state. Taken together, results of this study strongly suggested a link between NOS1 gene polymorphism at rs3782206 and cognitive functions and their neural underpinnings at the IFG. These results have important implications for our understanding of the neural mechanism underlying the association between NOS1 gene polymorphism and schizophrenia.

Store-operated Ca2+ entry (SOCe) triggered by the depletion of endoplasmic reticulum (ER) luminal Ca2+ stores is a major Ca2+ entry pathway in non-excitable cells and is essential in physiological Ca2+ signaling and homeostasis. STIM proteins are sensors of ER luminal Ca2+, which translocate to ER-plasma membrane (PM) junctional regions to activate the family of Orai channels mediating Ca2+ entry. To dissect the mechanisms by which of 2-amino-ethoxydiphenyl borate (2-APB), modifies SOCe, the effect of 2-APB on the coupling between Orai1 and various STIM1 fragments were examined with imaging and whole-cell patch clamp methods. We demonstrate that 50 μM 2-APB induces coupling between C-terminus fragments of STIM1 (STIM1ct) and Orai1, in a reversible and Ca2+-independent manner. Although the STIM1-Orai1 Activation Region (SOAR) is already tightly bound with Orai1, 50 μM 2-APB can still induce an increase in FRET, Ca2+ influx and ICRAC activation, therefore, 2-APB increases SOCe by enhancing the coupling between SOAR and Orai1. In contrast, the inhibition of SOCe by 2-APB is not accompanied by a decrease in STIM1-, or SOAR-Orai1 FRET, or dissociation of SOAR from Orai channels. This indicates that the inhibitory effect of 2-APB on Orai1 is due to conformational changes within the SOAR-Orai1 complex that leads to blockage of the Orai1 channels while the two proteins remain associated. This conformational changes appear to come from the gating and selectivity filter of Orai1, as STIM1- or SOAR-Orai1V102C mediated Ca2+ influx is no longer inhibited by 50 μM 2-APB. In summary, our results indicated that 2-APB first enhances the coupling between SOAR-Orai1, resulting in an increase in SOCe; then 2-APB modifies the pore of Orai1 around V102 and inhibits SOCe.

ZNF804A gene polymorphism rs1344706 has been suggested as the most compelling case of a candidate gene for schizophrenia by a genome-wide association study and several replication studies. The current study of 570 schizophrenia patients and 448 controls again found significantly different genotype frequencies of rs1344706 between patients and controls. More important, we found that this association was modulated by IQ, with a stronger association among individuals with relatively high IQ, which replicated results of Walters et al, 2010. We further examined whether this IQ-modulated association also existed between the SNP and the intermediate phenotypes (working memory and executive functions) of schizophrenia. Data were available from an N-back task (366 patients and 414 controls) and the attention network task (361 patients and 416 controls). We found that the SNP and IQ had significant interaction effects on the intermediate phenotypes for patients, but not for controls. The disease risk allele was associated with poorer cognitive function in patients with high IQ, but better cognitive function in patients with low IQ. Together, these results indicated that IQ may modulate the role of rs1344706 in the etiology of both schizophrenia and its cognitive impairments, and pointed to the necessity of considering general cognitive function as indexed by IQ in the future studies of genetic bases of schizophrenia.

Animal studies have strongly implicated a role of S100B in spatial ability and our recent study of humans found that S100B gene polymorphisms (rs9722, rs1051169, and rs2839357) were associated with schizophrenia patients' spatial ability (as assessed by a block design task and a mental rotation task). In this study, we explored the associations between these and three additional SNPs in S100B and prefrontal functions (working memory and executive control) among 434 schizophrenia patients and 412 healthy controls. Results showed that, for both schizophrenia patients and healthy controls, two SNPs were significantly associated with prefrontal functions in the spatial domain (P value threshold was set at 0.014 after correcting for multiple comparisons), with the AA genotype of rs9722 and the GG genotype of rs2839357 linked to poorer performance. No SNP was associated with prefontal functions in the verbal domain (all Ps >0.05). These results extend our previous study and further confirm the important roles of the S100B gene in spatial abilities.