Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study.

BACKGROUND: Schizophrenia is a highly heritable disorder, linked to several structural abnormalities of the brain. More specifically, previous findings have suggested that increased gyrification in frontal and temporal regions are implicated in the pathogenesis of schizophrenia. METHODS: The current study included participants at high familial risk of schizophrenia who remained well (n = 31), who developed sub-diagnostic symptoms (n = 28) and who developed schizophrenia (n = 9) as well as healthy controls (HC) (n = 16). We first tested whether individuals at high familial risk of schizophrenia carried an increased burden of trait-associated alleles using polygenic risk score analysis. We then assessed the extent to which polygenic risk was associated with gyral folding in the frontal and temporal lobes. RESULTS: We found that individuals at high familial risk of schizophrenia who developed schizophrenia carried a significantly greater burden of risk-conferring variants for the disorder compared to those at high risk (HR) who developed sub-diagnostic symptoms or remained well and HC. Furthermore, within the HR cohort, there was a significant and positive association between schizophrenia polygenic risk score and bilateral frontal gyrification. CONCLUSIONS: These results suggest that polygenic risk for schizophrenia impacts upon early neurodevelopment to confer greater gyral folding in adulthood and an increased risk of developing the disorder.

Childhood adversity and hippocampal and amygdala volumes in a population at familial high risk of schizophrenia.

BACKGROUND: There is an established link between childhood adversity (CA) and schizophrenia. Hippocampus and amygdala abnormalities pre-date onset in those at high familial risk (fHR) of schizophrenia, but it is not clear whether these alterations are associated with CA in those at elevated risk of schizophrenia. METHODS: We examined hippocampal and amygdala volumes in those at fHR who had been referred to a social worker or the Children's Panel compared to those who had not. RESULTS: The right hippocampus and left amygdala were significantly smaller in those that had been referred to social work and Children's Panel. CONCLUSIONS: Our findings suggest that CA can influence structural changes in the brain in a cohort at fHR of schizophrenia. These findings provide further evidence that while genetic factors contribute to the structural changes found in schizophrenia, environmental factors such as CA can have a lasting impact on specific brain regions.

Childhood adversity and cortical thickness and surface area in a population at familial high risk of schizophrenia.

BACKGROUND: There is now a well-established link between childhood adversity (CA) and schizophrenia. Similar structural abnormalities to those found in schizophrenia including alterations in grey-matter volume have also been shown in those who experience CA. METHOD: We examined whether global estimates of cortical thickness or surface area were altered in those familial high-risk subjects who had been referred to a social worker or the Children's Panel compared to those who had not. RESULTS: We found that the cortical surface area of those who were referred to the Children's Panel was significantly smaller than those who had not been referred, but cortical thickness was not significantly altered. There was also an effect of social work referral on cortical surface area but not on thickness. CONCLUSIONS: Cortical surface area increases post-natally more than cortical thickness. Our findings suggest that CA can influence structural changes in the brain and it is likely to have a greater impact on cortical surface area than on cortical thickness.

Tensor-based morphometry of cannabis use on brain structure in individuals at elevated genetic risk of schizophrenia.

BACKGROUND: Schizophrenia is associated with various brain structural abnormalities, including reduced volume of the hippocampi, prefrontal lobes and thalami. Cannabis use increases the risk of schizophrenia but reports of brain structural abnormalities in the cannabis-using population have not been consistent. We used automated image analysis to compare brain structural changes over time in people at elevated risk of schizophrenia for familial reasons who did and did not use cannabis. METHOD: Magnetic resonance imaging (MRI) scans were obtained from subjects at high familial risk of schizophrenia at entry to the Edinburgh High Risk Study (EHRS) and approximately 2 years later. Differential grey matter (GM) loss in those exposed (n=23) and not exposed to cannabis (n=32) in the intervening period was compared using tensor-based morphometry (TBM). RESULTS: Cannabis exposure was associated with significantly greater loss of right anterior hippocampal (pcorrected=0.029, t=3.88) and left superior frontal lobe GM (pcorrected=0.026, t=4.68). The former finding remained significant even after the exclusion of individuals who had used other drugs during the inter-scan interval. CONCLUSIONS: Using an automated analysis of longitudinal data, we demonstrate an association between cannabis use and GM loss in currently well people at familial risk of developing schizophrenia. This observation may be important in understanding the link between cannabis exposure and the subsequent development of schizophrenia.

Orbitofrontal morphology in people at high risk of developing schizophrenia.

BACKGROUND: Abnormalities of orbitofrontal cortex (OFC) sulcogyral patterns have been reported in schizophrenia, but it is not known if these predate psychosis. METHODS: Hundred and forty-six subjects at high genetic risk of schizophrenia, 34 first episode of schizophrenia patients (SZ) and 36 healthy controls were scanned and clinically assessed. Utilising the classification system proposed by Chiavaras, we categorised OFC patterns and compared their distribution between the groups, as well as between those high risk subjects who did, and did not develop schizophrenia. The relationship between OFC pattern and schizotypy was explored in high risk subjects. RESULTS: We refined Chiavaras' classification system, with the identification of a previously unreported variant of OFC surface structure. There were significant differences in distribution of OFC patterns between high risk subjects who did or did not develop schizophrenia as well as between the first episode of schizophrenia group and healthy controls. Within the high risk group, possession of OFC Type III was associated with higher ratings on the Structured Inventory for Schizotypy (SIS) psychotic factor. CONCLUSIONS: Our results suggest that OFC Type III is associated with psychotic features before the development of schizophrenia. Characterisation of OFC morphology may have a role in the identification of those at greatest risk of developing schizophrenia.

Specific cognitive deficits in a group at genetic high risk of schizophrenia.

BACKGROUND: Neuropsychological deficits in schizophrenia patients and their relatives have been thought to represent possible genetic vulnerability markers or endophenotypes of the disorder. The present study describes results from the Edinburgh High Risk Study of computerized testing using the Cambridge Neuropsychological Test Automated Battery (CANTAB) on a group at genetic high risk (HR) of schizophrenia and a control group. METHOD: A total of 97 HR and 25 control participants were assessed on three tests from the CANTAB - spatial span, spatial working memory, and Stockings of Cambridge. Analyses of covariance were used to compare the HR and control groups on the main outcome measures whilst controlling for intelligence quotient (IQ). Subsequent analysis examined the effects of the presence of symptoms on group differences. RESULTS: HR participants had significantly reduced spatial memory capacity [F(1, 118)=4.06, p=0.046] and significantly reduced planning processing speed [F(1, 116)=4.16, p=0.044] compared with controls even after controlling for general intelligence (IQ). Although HR individuals made more errors and showed poorer problem-solving and strategy performance compared with controls, these differences were not significant after controlling for IQ. Subsequent analysis indicated that the presence or absence of psychotic symptoms in the HR group did not influence these specific cognitive deficits. CONCLUSIONS: Spatial memory capacity and planning processing speed may represent cognitive endophenotypes characterising the genetic predisposition to schizophrenia in this HR group.

fMRI changes over time and reproducibility in unmedicated subjects at high genetic risk of schizophrenia.

BACKGROUND: Functional brain abnormalities have been repeatedly demonstrated in schizophrenia but there is little data concerning their progression. For such studies to have credibility it is first important to establish the reproducibility of functional imaging techniques. The current study aimed to examine these factors in healthy controls and in unmedicated subjects at high genetic risk of the disorder: (i) to examine the reproducibility of task-related activation patterns, (ii) to determine if there were any progressive functional changes in high-risk subjects versus controls reflecting inheritance of the schizophrenic trait, and (iii) to examine changes over time in relation to fluctuating positive psychotic symptoms (i.e. state effects). METHOD: Subjects were scanned performing the Hayling sentence completion test on two occasions 18 months apart. Changes in activation were examined in controls and high-risk subjects (n=16, n=63). Reproducibility was assessed for controls and high-risk subjects who remained asymptomatic at both time points (n=16, n=32). RESULTS: Intra-class correlation values indicated good agreement between scanning sessions. No significant differences over time were seen between the high-risk and control group; however, comparison of high-risk subjects who developed symptoms versus those who remained asymptomatic revealed activation increases in the left middle temporal gyrus (p=0.026). CONCLUSIONS: The current results suggest that functional changes over time occur in the lateral temporal cortex as high genetic risk subjects become symptomatic, further, they indicate the usefulness of functional imaging tools for investigating progressive changes associated with state and trait effects in schizophrenia.

A diffusion tensor MRI study of white matter integrity in subjects at high genetic risk of schizophrenia.

Diffusion tensor imaging (DTI) has previously shown compromised white matter integrity in frontotemporal white matter fibers in patients with schizophrenia, as indicated by reduced fractional anisotropy (FA). In the present study we investigated whether reduced white matter FA is also present in relatives of individuals with schizophrenia who are at high risk (HR) for genetic reasons. Twenty-two HR subjects, 31 patients with schizophrenia and 51 control subjects underwent DTI. We compared FA between the three groups in the cingulum cingulate gyri, the uncinate and the arcuate fasciculi and the anterior limb of the internal capsules (ALIC). A voxel-based analysis showed lower FA in patients with schizophrenia compared to controls in left and right uncinate (p<0.03), the left arcuate (p<0.03) and left and right ALIC (p<0.01). Using an automatic region-of-interest analysis, less sensitive to potential misregistration errors, produced essentially the same results, as well as reduced FA of the ALIC in the HR group compared to controls (p<0.05). This study replicates previous findings showing lower FA in frontotemporal white matter fibers of schizophrenia patients. We also found reduced FA in the ALIC of both patients and subjects at high risk of schizophrenia when compared to controls. This may be a possible indicator of the higher vulnerability of relatives to develop the disorder.

Neuroimaging and molecular genetics of schizophrenia: pathophysiological advances and therapeutic potential.

There is impressive evidence for the involvement of several genetic risk factors in the aetiopathogenesis of schizophrenia. Most of these genes impact on neuropharmacological systems. Examining their relationship with brain imaging indices is arguably the best currently available method of examining these effects in vivo. In a sample of young, initially healthy people at high genetic risk of schizophrenia brain structure was measured with structural magnetic resonance imaging (sMRI) and brain function was indexed with neuropsychological tests and functional MRI. Regular detailed clinical assessments established whether subjects had developed psychotic symptoms and/or schizophrenia itself. The Catechol-O-Methyl Transferase (COMT) Val allele increased the risk of schizophrenia in this cohort in a dose-dependent manner. Subjects with this allele had reduced grey matter density in anterior cingulate cortex and increased fMRI activation in lateral prefrontal cortex and anterior and posterior cingulate. The risk allele in the Neuregulin 1 (NRG1) promoter region, on the other hand, was associated with the development of psychotic symptoms, decreased premorbid IQ and decreased activation of pre-frontal and temporal lobe regions. The NRG1 gene appears to be a risk factor for an extended or intermediate phenotype, while the COMT Val allele, which decreases the rate at which cortical dopamine is degraded compared to the Met allele, is associated with an increased risk of schizophrenia in subjects at increased familial risk. We provide examples of how these advances in our knowledge could lead to the development of new treatments for psychosis.

Precursors and prodromata of schizophrenia: findings from the Edinburgh High Risk Study and their literature context.

BACKGROUND: In schizophrenia research, 'high risk' traditionally referred to studies of the offspring of schizophrenic parents at genetically enhanced risk of illness development. Sixteen major high-risk studies have been undertaken although only six followed through to formal illness so data on prediction remain weak. Recently, 'high risk' has widened to encompass individuals considered 'at risk' by having 'high risk mental states', regardless of family history, in whom initiation of early treatment is postulated to improve outcome. METHOD: The major familial high-risk studies are reviewed from the perspective of the Edinburgh High Risk Study of Schizophrenia (EHRS), with emphasis on prediction. RESULTS: Familial high-risk studies have established multiple biological markers, the most reproducible of which relate to neuromotor development and cognition, especially aspects of memory/learning. Although most are probably not specific, they support a neurodevelopmental hypothesis. Family and environmental variables point largely to secondary or indirect associations. Pre-illness, non-specific affective symptomatology may be of greater predictive power than most psychotic phenomena. CONCLUSIONS: Traditional high-risk designs embody many problems but are able to distinguish non-specific markers from illness predictors, and are ideally suited to exploring the evolution of schizophrenia both clinically and biologically (especially with imaging techniques). The EHRS supports the view that greater specificity may accrue to cognitive domains as precursors of predictive utility.

Pathogenesis of schizophrenia: a psychopathological perspective.

BACKGROUND: Despite interest in early treatment of schizophrenia, premorbid and prodromal symptomatology remain poorly delineated. AIMS: To compare pre-illness symptomatology in patients at high risk of schizophrenia who progress to illness with that of high-risk subjects who remain well and with normal controls. METHOD: Using Present State Examination (PSE) data, symptomatic scales were devised from participants of the Northwick Park Study of first-episode schizophrenia and scores were compared on the first and last PSEs of participants of the Edinburgh High Risk Study. RESULTS: At entry, when still well, high-risk individuals who subsequently became ill (mean time to diagnosis 929 days; s.e.=138 days) scored significantly higher on'situational anxiety', 'nervous tension', 'depression', 'changed perception'and 'hallucinations'than those remaining well and normal controls, who did not differ. With illness onset, affective symptomatology remained high but essentially stable. CONCLUSIONS: In genetically predisposed individuals, affective and perceptual disorders are prominent before any behavioural or subjective change that usually characterises the shift to schizophrenic prodrome or active illness.

fMRI correlates of state and trait effects in subjects at genetically enhanced risk of schizophrenia.

Schizophrenia is a highly heritable disorder that typically develops in early adult life. Structural imaging studies have indicated that patients with the illness, and to some extent their unaffected relatives, have subtle deficits in several brain regions, including prefrontal and temporal lobes. It is, however, not known how this inherited vulnerability leads to psychosis. This study used a covert verbal initiation fMRI task previously shown to elicit frontal and temporal activity (the Hayling sentence completion task) to examine this issue. A large (n = 69) number of young participants at high risk of developing schizophrenia for genetic reasons took part, together with a matched group of healthy controls (n = 21). At the time of investigation, none had any psychotic disorder, but on detailed interview some of the high-risk participants (n = 27) reported isolated psychotic symptoms. The study aimed to determine: (i) whether there were activation differences that occurred in all subjects with a genetic risk of schizophrenia (i.e. 'trait' effects); and (ii) whether there were activation differences that only occurred in those at high risk who had isolated psychotic symptoms ('state' effects). No activation differences were found in regions commonly reported to be abnormal in the established illness, namely the dorsolateral prefrontal cortex or in the temporal lobes, but group differences of apparent genetic cause were evident in medial prefrontal, thalamic and cerebellar regions. In addition, differences in activation in those with symptoms were found in the intraparietal sulcus. No significant differences in performance were found between the groups, and all subjects were antipsychotic naïve. These findings therefore suggest that vulnerability to schizophrenia may be inherited as a disruption in a fronto-thalamic-cerebellar network, and the earliest changes specific to the psychotic state may be related to hyperactivation in the parietal lobe.

Sustained attention in young people at high risk for schizophrenia.

BACKGROUND: Sustained attention has been found to be impaired in individuals suffering from schizophrenia and their close relatives. This has led to the hypothesis that impaired sustained attention is an indicator of vulnerability to schizophrenia. METHODS: The Edinburgh High Risk Study used the Continuous Performance Test-Identical Pairs version (CPT-IP) to assess sustained attention in 127 high risk participants, 30 controls and 15 first-episode schizophrenic patients. A second assessment was completed by 59 high risk and 18 control participants 18 months to 2 years after the first. RESULTS: No differences in attentional capacity were found between the high risk and control groups and there was no association between genetic liability to schizophrenia and poor performance on the CPT-IP. Additionally, no association between occurrence of psychotic symptoms in the high risk group and impaired attentional capacity was found. CONCLUSIONS: The results suggest that deficits in sustained attention are not indicative of a genetic vulnerability to schizophrenia, and are not associated with the occurrence of psychotic symptoms.

Neurodevelopmental indices and the development of psychotic symptoms in subjects at high risk of schizophrenia.

BACKGROUND: Neurological 'soft signs' and minor physical anomalies (MPAs) are reported to be more frequent in patients with schizophrenia than in controls. AIMS: To determine whether these disturbances are genetically mediated, and whether they are central to the genesis of symptoms or epiphenomena. METHOD: We obtained ratings in 152 individuals who were antipsychotic drug-free and at high risk, some of whom had experienced psychotic symptoms, as well as 30 first-episode patients and 35 healthy subjects. RESULTS: MPAs and Neurological Evaluation Scale (NES) 'sensory integration abnormalities' were more frequent in high-risk subjects than in healthy controls, but there were no reliable differences between high-risk subjects with and without psychotic symptoms. MPAs were most frequent in high-risk subjects with least genetic liability and NES scores showed no genetic associations. CONCLUSIONS: The lack of associations with psychotic symptoms and genetic liability to schizophrenia suggests that soft signs and physical anomalies are nonspecific markers of developmental deviance that are not mediated by the gene(s) for schizophrenia.

Brain structure, genetic liability, and psychotic symptoms in subjects at high risk of developing schizophrenia.

BACKGROUND: Structural magnetic resonance imaging (MRI) of the brain in patients with schizophrenia has consistently demonstrated several abnormalities. These are thought to be neurodevelopmental in origin, as they have also been described in first episode cases, although there may be a progressive component. It is not known at which point in development these abnormalities are evident, nor to what extent they are genetically or environmentally mediated. METHODS: One hundred forty-seven high-risk subjects (with at least two affected first or second degree relatives), 34 patients in their first episode, and 36 healthy control subjects received an MRI scan covering the whole brain. After inhomogeneity correction, regions of interest were traced by three group-blind raters with good inter-rater reliability. Regional brain volumes were related to measures of genetic liability to schizophrenia and to psychotic symptoms elicited at structured psychiatric interviews. RESULTS: High-risk subjects had statistically significantly reduced mean volumes of the left and right amygdalo-hippocampus and thalamus, as compared to healthy control subjects. They also had bilaterally larger amygdalo-hippocampi and bilaterally smaller lenticular nuclei than the schizophrenics. High-risk subjects with symptoms had smaller brains than those without. The volumes of the prefrontal lobes and the thalamus were the only consistent associates of genetic liability. CONCLUSIONS: Subjects at high risk of developing schizophrenia have abnormalities of brain structure similar to but not identical to those found in schizophrenia. Our results suggest that some structural abnormalities are genetic trait or vulnerability markers, others are environmentally mediated, and that the development of symptoms is associated with a third overlapping group of structural changes. Particular risk factors for schizophrenia may interact at discrete time points of neurodevelopment with different effects on specific brain regions and may represent relatively distinct disease processes.

Diffusion tensor imaging (DTI) and proton magnetic resonance spectroscopy (1H MRS) in schizophrenic subjects and normal controls.

Several proton magnetic resonance spectroscopy (1H MRS) studies in schizophrenia have found reduced N-acetyl aspartate (NAA) concentrations in pre-frontal and temporal regions of the brain. Reductions in NAA may reflect abnormalities of neuronal structure (e.g. reduced neuronal density or viability) or abnormalities of neuronal function. Diffusion tensor imaging (DTI) measures diffusion anisotropy, an indicator of the structural integrity of a neuronal tract. Both techniques were used to examine the anatomical basis of pre-frontal dysfunction in schizophrenia. Ten patients with DSM-IV schizophrenia were compared with 10 healthy controls. 1H MRS and DTI were performed on a clinical MR system and analysed with a region of interest approach. NAA concentrations and diffusion anisotropy were measured in the same pre-frontal white matter region. Diffusion anisotropy was also measured in a control region (occipital white matter). 1H MRS revealed non-significant but consistently reduced NAA concentrations (by 10-15%) in the pre-frontal white matter in schizophrenic subjects. Diffusion anisotropy measures revealed no such differences between schizophrenics and controls. It is concluded that the abnormalities of 'connectivity' reported in brain-imaging studies of schizophrenia may not be attributable to structural abnormalities of white matter and that reduced NAA in the pre-frontal white matter may reflect abnormal function of structurally intact neurons.

A randomized, controlled trial of a brief interventional package for schizophrenic out-patients.

OBJECTIVE: To evaluate the impact on outcome of a simple educational intervention in schizophrenic patients at risk of relapse. METHOD: At discharge, 114 schizophrenic patients with at least one previous episode were assigned randomly to a simple educational intervention which had no resource implications, or standard care. RESULTS: The intervention failed to improve outcome. While insight and treatment attitudes improved, suicidal ideation increased. Systematic management of treatment-emergent adverse effects offered no benefits, although incapacitation from extrapyramidal side-effects at discharge predicted relapse. CONCLUSION: There are limits to which psychoeducational interventions can be simplified without loss of effectiveness in terms of relapse prevention in schizophrenia. Enhanced insight may be associated with increased suicidal ideation.

Correlations between clinical and historical variables, and cerebral structural variables in people with mild intellectual disability and schizophrenia.

The increased prevalence of schizophrenia in the population with mildly intellectual disability (ID) remains unexplained. The present study explores several possibilities by examining historical/clinical findings in relation to structural neuroimaging findings in three groups: (1) comorbid mild ID and schizophrenia; (2) schizophrenia alone; and (3) mild ID alone. Information about clinical and historical variables was obtained from 101 subjects (39 with comorbidity, 34 with schizophrenia and 28 with mild ID), out of whom 68 (23, 25 and 20, respectively) had had a cerebral magnetic resonance imaging (MRI) scan. Although a number of significant correlations exist between clinical variables and structural MRI abnormalities in all three groups, no clearly predictive inter- or between-group differences emerged. More striking was the finding that showed small amygdalo-hippocampal size to be associated with a history of central nervous system injury, especially meningitis. These findings provide support for the view that cognitive impairment and comorbid psychosis can result from a common cause, such as meningitis or obstetric complications, possibly interacting with other factors, such as family history.

Diagnostic stability in subjects with multiple admissions for psychotic illness.

BACKGROUND: Although studies investigating changes in diagnosis between psychotic episodes have differed in design, some consistent findings have emerged. This study seeks to clarify and extend these findings by describing and comparing clinical and operationally defined diagnostic stability in a group of subjects with multiple episodes of functional psychotic illness. METHODS: The OPCRIT programme was applied to case notes of 204 subjects with multiple admissions for psychotic illness. Clinical and operationally defined diagnoses were compared and the spread and stability of diagnoses determined. RESULTS: An increase in the frequency of diagnosis of schizophrenia from initial to subsequent episodes was demonstrated. High levels of stability were found for schizophrenia (58 to 98%), moderate levels for affective disorders (24 to 83%), low levels for other non-organic psychotic conditions (27 to 54%) and atypical psychosis (27 to 53%), and very low levels for schizoaffective disorder (5 to 39%) and other conditions (0 to 4%). CONCLUSIONS: The stability levels for schizophrenia and affective disorders are adequate, but the low levels for a range of other psychotic conditions raise questions regarding their predictive validity.

A factor model of the functional psychoses and the relationship of factors to clinical variables and brain morphology.

BACKGROUND: Despite more than 100 years of study, there remains no definitive diagnostic validation of the functional psychoses. Factor analysis suggests the presence of three or more psychopathological syndromes in functional psychoses as a whole. The relationship between these factors and cerebral anatomy has been investigated in schizophrenia only. This study aimed to address the relationship of symptom factors to clinically important variables and cerebral anatomy in a sample of psychotic patients with a spread of diagnoses. METHODS: In a sample of patients with functional psychoses, symptom data was obtained on four consecutive admissions using the OPCRIT symptom checklist. OPCRIT data was used to generate operational diagnoses in accordance with pre-set criteria and a principle components analysis was performed on symptom data. Factor loadings were compared between each admission to examine factor stability over time. Factor scores at first admission were also correlated with clinical variables obtained from patients' case notes. From the sample of 204 patients, 64 subjects were recruited and underwent an MRI scan of the brain. Regional anatomical volumes were compared with diagnosis and factor loadings at first admission. RESULTS: A principal components analysis gave a four-factor solution of 'manic', 'depressive', 'disorganization' and 'reality distortion' factors at each admission. Factors showed a high degree of stability over the four admissions studied. The factors were significantly associated with several clinical variables. Three of the four factors were associated with a specific pattern of cerebral anatomy. CONCLUSIONS: This study suggests that factors may correspond to relatively specific disease processes underlying functional psychotic illness. We propose that the use of symptom factors may facilitate the investigation of the underlying mechanisms of psychotic illness.