Association and epistatic analysis of white matter related genes across the continuum schizophrenia and autism spectrum disorders: The joint effect of NRG1-ErbB genes.

BACKGROUND: Schizophrenia-spectrum disorders (SSD) and Autism spectrum disorders (ASD) are neurodevelopmental disorders that share clinical, cognitive, and genetic characteristics, as well as particular white matter (WM) abnormalities. In this study, we aimed to investigate the role of a set of oligodendrocyte/myelin-related (OMR) genes and their epistatic effect on the risk for SSD and ASD. METHODS: We examined 108 SNPs in a set of 22 OMR genes in 1749 subjects divided into three independent samples (187 SSD trios, 915 SSD cases/control, and 91 ASD trios). Genetic association and gene-gene interaction analyses were conducted with PLINK and MB-MDR, and permutation procedures were implemented in both. RESULTS: Some OMR genes showed an association trend with SSD, while after correction, the ones that remained significantly associated were MBP, ERBB3, and AKT1. Significant gene-gene interactions were found between (i) NRG1*MBP (perm p-value = 0.002) in the SSD trios sample, (ii) ERBB3*AKT1 (perm p-value = 0.001) in the SSD case-control sample, and (iii) ERBB3*QKI (perm p-value = 0.0006) in the ASD trios sample. DISCUSSION: Our results suggest the implication of OMR genes in the risk for both SSD and ASD and highlight the role of NRG1 and ERBB genes. These findings are in line with the previous evidence and may suggest pathophysiological mechanisms related to NRG1/ERBBs signalling in these disorders.

Reward and fictive prediction error signals in ventral striatum: asymmetry between factual and counterfactual processing.

Reward prediction error, the difference between the expected and obtained reward, is known to act as a reinforcement learning neural signal. In the current study, we propose a model fitting approach that combines behavioral and neural data to fit computational models of reinforcement learning. Briefly, we penalized subject-specific fitted parameters that moved away too far from the group median, except when that deviation led to an improvement in the model's fit to neural responses. By means of a probabilistic monetary learning task and fMRI, we compared our approach with standard model fitting methods. Q-learning outperformed actor-critic at both behavioral and neural level, although the inclusion of neuroimaging data into model fitting improved the fit of actor-critic models. We observed both action-value and state-value prediction error signals in the striatum, while standard model fitting approaches failed to capture state-value signals. Finally, left ventral striatum correlated with reward prediction error while right ventral striatum with fictive prediction error, suggesting a functional hemispheric asymmetry regarding prediction-error driven learning.

Brain functional correlates of formal thought disorder in schizophrenia: examining the frontal/dysexecutive hypothesis.

BACKGROUND: One hypothesis proposed to underlie formal thought disorder (FTD), the incoherent speech is seen in some patients with schizophrenia, is that it reflects impairment in frontal/executive function. While this proposal has received support in neuropsychological studies, it has been relatively little tested using functional imaging. This study aimed to examine brain activations associated with FTD, and its two main factor-analytically derived subsyndromes, during the performance of a working memory task. METHODS: Seventy patients with schizophrenia showing a full range of FTD scores and 70 matched healthy controls underwent fMRI during the performance of the 2-back version of the n-back task. Whole-brain corrected, voxel-based correlations with FTD scores were examined in the patient group. RESULTS: During 2-back performance the patients showed clusters of significant inverse correlation with FTD scores in the inferior frontal cortex and dorsolateral prefrontal cortex bilaterally, the left temporal cortex and subcortically in the basal ganglia and thalamus. Further analysis revealed that these correlations reflected an association only with 'alogia' (poverty of speech, poverty of content of speech and perseveration) and not with the 'fluent disorganization' component of FTD. CONCLUSIONS: This study provides functional imaging support for the view that FTD in schizophrenia may involve impaired executive/frontal function. However, the relationship appears to be exclusively with alogia and not with the variables contributing to fluent disorganization.

Neurotrophins role in depressive symptoms and executive function performance: Association analysis of NRN1 gene and its interaction with BDNF gene in a non-clinical sample.

BACKGROUND: Neuritin-1 is a neurotrophic factor involved in synaptic plasticity that has been associated with depressive disorders, schizophrenia and cognitive performance. The study of genotype-phenotype relationships in healthy individuals is a useful framework to investigate the etiology of brain dysfunctions. We therefore aimed to investigate in a non-clinical sample whether NRN1 gene contributes to the psychopathological profile, with a particular focus on the clinical dimensions previously related to the NRN1 gene (i.e. depressive and psychotic). Furthermore, we aimed to analyze: i) the role of NRN1 on executive functions, ii) whether the association between either NRN1-psychopathological profile or NRN1-cognitive performance is moderated by the BDNF gene. METHODS: The sample comprised 410 non-clinical subjects who filled in the self-reported Brief Symptom Inventory (BSI) and were assessed for executive performance (Verbal Fluency, Wisconsin Card Sorting Test (WCST) and Letter-Number subscale (WAIS-III)). Genotyping included nine SNPs in NRN1 and one in BDNF. RESULTS: i) GG homozygotes (rs1475157-NRN1) showed higher scores on BSI depressive dimension and on total scores compared to A carriers (corrected p-values: 0.0004 and 0.0003, respectively). ii) a linear trend was detected between GG genotype of rs1475157 and a worse cognitive performance in WCST total correct responses (uncorrected p-value: 0.029). iii) Interaction between rs1475157-NRN1 and Val66Met-BDNF was found to modulate depressive symptoms (p=0.001, significant after correction). LIMITATIONS: Moderate sample size; replication in a larger sample is needed. CONCLUSIONS: NRN1 is associated with depressive symptoms and executive function in a non-clinical sample. Our results also suggest that the role of NRN1 seems to be modulated by BDNF.

Evidence of an epistatic effect between Dysbindin-1 and Neuritin-1 genes on the risk for schizophrenia spectrum disorders.

BACKGROUND: The interest in studying gene-gene interactions is increasing for psychiatric diseases such as schizophrenia-spectrum disorders (SSD), where multiple genes are involved. Dysbindin-1 (DTNBP1) and Neuritin-1 (NRN1) genes have been previously associated with SSD and both are involved in synaptic plasticity. We aimed to study whether these genes show an epistatic effect on the risk for SSD. METHODS: The sample comprised 388 SSD patients and 397 healthy subjects. Interaction was tested between: (i) three DTNBP1 SNPs (rs2619537, rs2743864, rs1047631) related to changes in gene expression; and (ii) an haplotype in NRN1 previously associated with the risk for SSD (rs645649-rs582262: HAP-risk C-C). RESULTS: An interaction between DTNBP1 rs2743864 and NRN1 HAP-risk was detected by using the model based multifactor dimensionality reduction (MB-MDR) approach (P=0.0049, after permutation procedure), meaning that the risk for SSD is significantly higher in those subjects carrying both the A allele of rs2743864 and the HAP-risk C-C. This interaction was confirmed by using a logistic regression model (P=0.033, OR (95%CI)=2.699 (1.08-6.71), R2=0.162). DISCUSSION: Our results suggest that DTNBP1 and NRN1 genes show a joint effect on the risk for SSD. Although the precise mechanism underlying this effect is unclear, the fact that these genes have been involved in synaptic maturation, connectivity and glutamate signalling suggests that our findings could be of value as a link to the schizophrenia aetiology.

Examining the continuum of psychosis: Frequency and characteristics of psychotic-like symptoms in relatives and non-relatives of patients with schizophrenia.

BACKGROUND: A key finding underlying the continuum of psychosis concept is the presence of psychotic-like experiences (PLEs) in healthy subjects. However, it remains uncertain to what extent these experiences are related to the genetic risk for schizophrenia and how far they actually resemble attenuated forms of psychotic symptoms. METHODS: Forty-nine adults with no history of mental illness in first-degree relatives and 59 siblings of patients with schizophrenia were rated on the psychosis section of the Computerized Diagnostic Interview Schedule IV (C DIS-IV) and the Rust Inventory of Schizotypal Cognitions (RISC). Those who rated positive on the CDIS-IV were re-interviewed using the lifetime version of the Present State Examination 9th edition (PSE-9) and the Structured interview for Schizotypy (SIS). RESULTS: Seventeen (34.69%) of the non-relatives and 22 (37.29%) of the relatives responded positively to one or more of the psychosis questions on the DIS. This difference was not significant. RISC scores were also similar between the groups. At follow-up interview with the PSE-9, 13/40 PLEs (32.50%) in the non-relatives were classified as possible or probable psychotic symptoms compared to 11/46 (23.91%) in the relatives. Using liberal symptom thresholds, 5 of those who attended the follow-up interview (2 non-relatives and 3 relatives) met SIS criteria for schizotypal personality disorder. CONCLUSIONS: Rates of PLEs, however considered, do not differ substantially between relatives and non-relatives of patients with schizophrenia. Only a minority of PLEs picked up by screening interviews resemble attenuated forms of psychotic symptoms.

Brain functional changes in first-degree relatives of patients with bipolar disorder: evidence for default mode network dysfunction.

BACKGROUND: Relatively few studies have investigated whether relatives of patients with bipolar disorder show brain functional changes, and these have focused on activation changes. Failure of de-activation during cognitive task performance is also seen in the disorder and may have trait-like characteristics since it has been found in euthymia. METHOD: A total of 20 euthymic patients with bipolar disorder, 20 of their unaffected siblings and 40 healthy controls underwent functional magnetic resonance imaging during performance of the n-back working memory task. An analysis of variance (ANOVA) was fitted to individual whole-brain maps from each set of patient-relative-matched pair of controls. Clusters of significant difference among the groups were used as regions of interest to compare mean activations/de-activations between them. RESULTS: A single cluster of significant difference among the three groups was found in the whole-brain ANOVA. This was located in the medial prefrontal cortex, a region of task-related de-activation in the healthy controls. Both the patients and their siblings showed significantly reduced de-activation compared with the healthy controls in this region, but the failure was less marked in the relatives. CONCLUSIONS: Failure to de-activate the medial prefrontal cortex in both euthymic bipolar patients and their unaffected siblings adds to evidence for default mode network dysfunction in the disorder, and suggests that it may act as a trait marker.

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder.

OBJECTIVE: Brain structural changes in schizoaffective disorder, and how far they resemble those seen in schizophrenia and bipolar disorder, have only been studied to a limited extent. METHOD: Forty-five patients meeting DSM-IV and RDC criteria for schizoaffective disorder, groups of patients with 45 matched schizophrenia and bipolar disorder, and 45 matched healthy controls were examined using voxel-based morphometry (VBM). RESULTS: Analyses comparing each patient group with the healthy control subjects found that the patients with schizoaffective disorder and the patients with schizophrenia showed widespread and overlapping areas of significant volume reduction, but the patients with bipolar disorder did not. A subsequent analysis compared the combined group of patients with the controls followed by extraction of clusters. In regions where the patients differed significantly from the controls, no significant differences in mean volume between patients with schizoaffective disorder and patients with schizophrenia in any of five regions of volume reduction were found, but mean volumes in the patients with bipolar disorder were significantly smaller in three of five. CONCLUSION: The findings provide evidence that, in terms of structural gray matter brain abnormality, schizoaffective disorder resembles schizophrenia more than bipolar disorder.

Failure of deactivation in the default mode network: a trait marker for schizophrenia?

BACKGROUND: Functional imaging studies in relatives of schizophrenic patients have had inconsistent findings, particularly with respect to altered dorsolateral prefrontal cortex activation. Some recent studies have also suggested that failure of deactivation may be seen. METHOD: A total of 28 patients with schizophrenia, 28 of their siblings and 56 healthy controls underwent functional magnetic resonance imaging during performance of the n-back working memory task. An analysis of variance was fitted to individual whole-brain maps from each set of patient-relative-matched pair of controls. Clusters of significant difference among the groups were then used as regions of interest to compare mean activations and deactivations among the groups. RESULTS: In all, five clusters of significant differences were found. The schizophrenic patients, but not the relatives, showed reduced activation compared with the controls in the lateral frontal cortex bilaterally, the left basal ganglia and the cerebellum. In contrast, both the patients and the relatives showed significant failure of deactivation compared with the healthy controls in the medial frontal cortex, with the relatives also showing less failure than the patients. Failure of deactivation was not associated with schizotypy scores or presence of psychotic-like experiences in the relatives. CONCLUSIONS: Both schizophrenic patients and their relatives show altered task-related deactivation in the medial frontal cortex. This in turn suggests that default mode network dysfunction may function as a trait marker for schizophrenia.

Evidence for structural and functional abnormality in the subgenual anterior cingulate cortex in major depressive disorder.

BACKGROUND: The subgenual anterior cingulate cortex (sgACC) is considered to be an important site of abnormality in major depressive disorder. However, structural alterations in this region have not been a consistent finding and functional imaging studies have also implicated additional areas. METHOD: A total of 32 patients with major depressive disorder, currently depressed, and 64 controls underwent structural imaging with MRI. Also, 26 patients and 52 controls were examined using functional magnetic resonance imaging (fMRI) during performance of the n-back working memory task. Structural and functional changes were evaluated using whole-brain, voxel-based methods. RESULTS: The depressed patients showed volume reductions in the sgACC and orbitofrontal cortex bilaterally, plus in both temporal poles and the hippocampus/parahippocampal gyrus on the left. Functional imaging revealed task-related hypo-activation in the left lateral prefrontal cortex and other regions, as well as failure of deactivation in a subcallosal medial frontal cortical area which included the sgACC. CONCLUSIONS: Whole-brain, voxel-based analysis finds evidence of both structural and functional abnormality in the sgACC in major depressive disorder. The fact that the functional changes in this area took the form of failure of deactivation adds to previous findings of default mode network dysfunction in the disorder.

Association of formal thought disorder in schizophrenia with structural brain abnormalities in language-related cortical regions.

BACKGROUND: Formal thought disorder (FTD) in schizophrenia has been found to be associated with volume reductions in the left superior temporal cortex. However, there have been negative findings and some studies have also found associations in other cortical regions. METHOD: Fifty-one schizophrenic patients were evaluated for presence of FTD with the Thought, Language and Communication (TLC) scale and underwent whole-brain structural MRI using optimized voxel-based morphometry (VBM). Fifty-nine matched healthy controls were also scanned. RESULTS: Compared to 31 patients without FTD (global TLC rating 0 or 1), 20 patients with FTD (global TLC rating 2-5) showed clusters of volume reduction in the medial frontal and orbitofrontal cortex bilaterally, and in two left-sided areas approximating to Broca's and Wernicke's areas. The pattern of FTD-associated volume reductions was largely different from that found in a comparison between the healthy controls and the patients without FTD. Analysis of correlations within regions-of-interest based on the above clusters indicated that the 'fluent disorganization' component of FTD was correlated with volume reductions in both Broca's and Wernicke's areas, whereas poverty of content of speech was correlated with reductions in the medial frontal/orbitofrontal cortex. CONCLUSIONS: The findings point to a relationship between FTD in schizophrenia and structural brain pathology in brain areas involved in language and executive function.

Brain functional abnormality in schizo-affective disorder: an fMRI study.

BACKGROUND: Schizo-affective disorder has not been studied to any significant extent using functional imaging. The aim of this study was to examine patterns of brain activation and deactivation in patients meeting strict diagnostic criteria for the disorder. METHOD: Thirty-two patients meeting research diagnostic criteria (RDC) for schizo-affective disorder (16 schizomanic and 16 schizodepressive) and 32 matched healthy controls underwent functional magnetic resonance imaging (fMRI) during performance of the n-back task. Linear models were used to obtain maps of activations and deactivations in the groups. RESULTS: Controls showed activation in a network of frontal and other areas and also deactivation in the medial frontal cortex, the precuneus and the parietal cortex. Schizo-affective patients activated significantly less in prefrontal, parietal and temporal regions than the controls, and also showed failure of deactivation in the medial frontal cortex. When task performance was controlled for, the reduced activation in the dorsolateral prefrontal cortex (DLPFC) and the failure of deactivation of the medial frontal cortex remained significant. CONCLUSIONS: Schizo-affective disorder shows a similar pattern of reduced frontal activation to schizophrenia. The disorder is also characterized by failure of deactivation suggestive of default mode network dysfunction.

Executive dysfunction and memory impairment in schizoaffective disorder: a comparison with bipolar disorder, schizophrenia and healthy controls.

BACKGROUND: Deficits in memory and executive performance are well-established features of bipolar disorder and schizophrenia. By contrast, data on cognitive impairment in schizoaffective disorder are scarce and the findings are conflicting. METHOD: We used the Wechsler Memory Scale (WMS-III) and the Behavioural Assessment of the Dysexecutive Syndrome (BADS) to test memory and executive function in 45 schizophrenic patients, 26 schizomanic patients and 51 manic bipolar patients in comparison to 65 healthy controls. The patients were tested when acutely ill. RESULTS: All three patient groups performed significantly more poorly than the controls on global measures of memory and executive functioning, but there were no differences among the patient groups. There were few differences in memory and executive function subtest scores within the patient groups. There were no differences in any test scores between manic patients with and without psychotic symptoms. CONCLUSIONS: Schizophrenic, schizomanic and manic patients show a broadly similar degree of executive and memory deficits in the acute phase of illness. Our results do not support a categorical differentiation across different psychotic categories with regard to neuropsychological deficits.

First-episode psychosis is characterized by failure of deactivation but not by hypo- or hyperfrontality.

BACKGROUND: It is not known whether first-episode psychosis is characterized by the same prefrontal cortex functional imaging abnormalities as chronic schizophrenia. METHOD: Thirty patients with a first episode of non-affective functional psychosis and 28 healthy controls underwent functional magnetic resonance imaging (fMRI) during performance of the n-back working memory task. Voxel-based analyses of brain activations and deactivations were carried out and compared between groups. The connectivity of regions of significant difference between the patients and controls was also examined. RESULTS: The first-episode patients did not show significant prefrontal hypo- or hyperactivation compared to controls. However, they showed failure of deactivation in the medial frontal cortex. This area showed high levels of connectivity with the posterior cingulate gyrus/precuneus and parts of the parietal cortex bilaterally. Failure of deactivation was significantly greater in first-episode patients who had or went on to acquire a DSM-IV diagnosis of schizophrenia than in those who did not, and in those who met RDC criteria for schizophrenia compared to those who did not. CONCLUSIONS: First-episode psychosis is not characterized by hypo- or hyperfrontality but instead by a failure of deactivation in the medial frontal cortex. The location and connectivity of this area suggest that it is part of the default mode network. The failure of deactivation seems to be particularly marked in first-episode patients who have, or progress to, schizophrenia.

Awareness of cognitive impairment in schizophrenia and its relationship to insight into illness.

BACKGROUND: Patients with schizophrenia have been found to show unawareness of cognitive impairment. However, its frequency and its relationship to lack of insight into illness are uncertain. METHOD: Forty-two patients with chronic schizophrenia were given tests of executive function and memory. Awareness of cognitive impairment was measured by means of discrepancy scores--differences between patient and psychologist ratings of memory and frontal/executive failures in daily life. Insight into illness was assessed using the Scale to Assess Unawareness of Mental Disorder (SUMD). RESULTS: A majority of the patients were found to underestimate their cognitive impairment; however, some overestimated it. Unawareness of cognitive impairment and lack of clinical insight loaded on different factors in a factor analysis, but these two factors were themselves correlated. CONCLUSIONS: The findings suggest that both unawareness and overestimation of cognitive impairment characterise patients with schizophrenia, although the former is more common. Awareness of cognitive impairment occurs independently of insight into illness at the clinical level, although the two phenomena may be linked at a deeper level.

Correlated structural and functional brain abnormalities in the default mode network in schizophrenia patients.

BACKGROUND: There is increasing evidence of default mode network (DMN) dysfunction in schizophrenia. It has also been suggested that brain structural changes are maximal in a medial frontal area which overlaps with the anterior midline node of this network. METHODS: Brain deactivations were examined in 14 schizophrenic patients and 14 controls during performance of two tasks requiring identification or labelling of facial emotions. Grey matter and white matter volumes were compared using voxel-based morphometry. RESULTS: Relative to the controls, the schizophrenic patients showed failure to deactivate in the anterior and posterior midline nodes of the default mode network, as well as other areas considered to be part of the network. Grey matter volume reductions in the patients were found in medial cortical regions which overlapped with the same parts of the network. The functional and structural changes showed significant correlations in a number of medial cortical areas. CONCLUSIONS: Failure of deactivation in the default mode network is seen in schizophrenic patients when they perform facial emotion tasks. This failure is more extensive than that seen during performance of working memory tasks. The study also supports recent findings of brain structural changes in schizophrenia in the territory of the default mode network.

COMT Val158Met polymorphism in relation to activation and de-activation in the prefrontal cortex: A study in patients with schizophrenia and healthy subjects.

The Val158Met polymorphism in the COMT gene has been found to be associated with differences in brain activation in both healthy subjects and patients with schizophrenia. The predominant finding has been increased prefrontal activation associated with the Val allele; however, genotype-related de-activations have not been studied. In this study 42 schizophrenia patients and 31 controls underwent fMRI while performing the n-back task. Brain differences related to presence/absence of disease and presence/absence of the Val/Val genotype were examined. Both disease and Val/Val genotype were associated with failure of de-activation in a cluster centred in the medial prefrontal cortex. There was no interaction between disease and genotype at this location, but clusters where there were significant interactions emerged in the right prefrontal cortex and left temporal/parietal cortex. These findings suggest that Val158Met polymorphism influences task-related de-activations in the default mode network in both healthy subjects and schizophrenia patients to an equivalent extent. However the Val158Met polymorphism also has disease-specific effects on DLPFC activation in schizophrenia.

Medial prefrontal cortex pathology in schizophrenia as revealed by convergent findings from multimodal imaging.

Neuroimaging studies have found evidence of altered brain structure and function in schizophrenia, but have had complex findings regarding the localization of abnormality. We applied multimodal imaging (voxel-based morphometry (VBM), functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) combined with tractography) to 32 chronic schizophrenic patients and matched healthy controls. At a conservative threshold of P=0.01 corrected, structural and functional imaging revealed overlapping regions of abnormality in the medial frontal cortex. DTI found that white matter abnormality predominated in the anterior corpus callosum, and analysis of the anatomical connectivity of representative seed regions again implicated fibres projecting to the medial frontal cortex. There was also evidence of convergent abnormality in the dorsolateral prefrontal cortex, although here the laterality was less consistent across techniques. The medial frontal region identified by these three imaging techniques corresponds to the anterior midline node of the default mode network, a brain system which is believed to support internally directed thought, a state of watchfulness, and/or the maintenance of one's sense of self, and which is of considerable current interest in neuropsychiatric disorders.

Facial emotion processing in schizophrenia: a non-specific neuropsychological deficit?

BACKGROUND: Identification of facial emotions has been found to be impaired in schizophrenia but there are uncertainties about the neuropsychological specificity of the finding. METHOD: Twenty-two patients with schizophrenia and 20 healthy controls were given tests requiring identification of facial emotion, judgement of the intensity of emotional expressions without identification, familiar face recognition and the Benton Facial Recognition Test (BFRT). The schizophrenia patients were selected to be relatively intellectually preserved. RESULTS: The patients with schizophrenia showed no deficit in identifying facial emotion, although they were slower than the controls. They were, however, impaired on judging the intensity of emotional expression without identification. They showed impairment in recognizing familiar faces but not on the BFRT. CONCLUSIONS: When steps are taken to reduce the effects of general intellectual impairment, there is no deficit in identifying facial emotions in schizophrenia. There may, however, be a deficit in judging emotional intensity. The impairment found in naming familiar faces is consistent with other evidence of semantic memory impairment in the disorder.