Effects of the BDNF val66met polymorphism on prefrontal brain function in a population at high genetic risk of schizophrenia

A single nucleotide polymorphism (val66met) in the brain derived neurotrophic factor (BDNF) gene has been shown to be a risk factor for a number of psychiatric disorders, including schizophrenia. This polymorphism has also been shown to have effects on prefrontal brain morphology and function. This study aims to clarify the effects of the val66met polymorphism on prefrontal brain function in a population at high genetic risk for schizophrenia. The Edinburgh High Risk Study has followed young individuals who had one first- or second-degree relative with schizophrenia and a minimum of one further genetic relative with the illness. A sample of 62 individuals provided both genetic and functional imaging data using the Hayling sentence completion task. Individuals with the BDNF ValVal (presumed risk) genotype (n = 41) showed relatively increased activation of the anterior cingulate cortex in relation to Met carrier individuals (n = 21) during sentence completion conditions versus baseline, against a background of similar levels of task performance. It appeared from further investigation that this relatively increased activation was attributable to a failure to disengage or suppress activation in the high risk ValVal group during the task condition, suggesting that BDNF may contribute to the abnormal default network reported in schizophrenia. These results suggest that this gene affects prefrontal brain function in those at high genetic risk for the disorder, unconfounded by medication effects. BDNF may therefore be one of the heritable factors involved in the development of abnormal prefrontal function in schizophrenia. © 2010 Wiley-Liss, Inc.

Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders

BACKGROUND

Previous behavioural and neuroimaging studies of emotion processing in autistic spectrum disorder (ASD) have focused on the use of facial stimuli. To date, however, no studies have examined emotion processing in autism across a broad range of social signals.

METHOD

This study addressed this issue by investigating emotion processing in a group of 23 adults with ASD and 23 age- and gender-matched controls. Recognition of basic emotions ('happiness', 'sadness', 'anger', disgust' and 'fear') was assessed from facial, body movement and vocal stimuli. The ability to make social judgements (such as approachability) from facial stimuli was also investigated.

RESULTS

Significant deficits in emotion recognition were found in the ASD group relative to the control group across all stimulus domains (faces, body movements and voices). These deficits were seen across a range of emotions. The ASD group were also impaired in making social judgements compared to the control group and this correlated with impairments in basic emotion recognition.

CONCLUSIONS

This study demonstrates that there are significant and broad-ranging deficits in emotion processing in ASD present across a range of stimulus domains and in the auditory and visual modality; they cannot therefore be accounted for simply in terms of impairments in face processing or in the visual modality alone. These results identify a core deficit affecting the processing of a wide range of emotional information in ASD, which contributes to the impairments in social function seen in people with this condition.

Functional magnetic resonance imaging of BDNF val66met polymorphism in unmedicated subjects at high genetic risk of schizophrenia performing a verbal memory task

Multiple strands of evidence suggest a role for Brain Derived Neurotrophic Factor (BDNF) in the pathophysiology of schizophrenia. It is not yet clear, however, how BDNF may contribute to altered brain function seen in the disorder, or in those at high genetic risk. The current study examines functional imaging correlates of the BDNF val66met polymorphism in a population at high genetic risk of schizophrenia. Subjects at high genetic risk for the disorder (n=58) provided both BDNF genotyping and fMRI data while performing a verbal memory task. During encoding, participants were presented with a word and asked to make a 'living'/'non-living' classification. During retrieval, individuals were requested to make an 'old'/'new' word classification. For encoding, we report decreased activation of the inferior occipital cortex and a trend in the cingulate cortex in Val homozygote individuals relative to Met carriers. For retrieval, we report decreases in activation in the prefrontal, cingulate cortex and bilateral posterior parietal regions in Val homozygote individuals versus Met carriers. These findings add to previous evidence suggesting that genetic variation in the BDNF gene modulates prefrontal and limbic functioning and suggests that it may contribute to differences in brain function seen in those at high risk of the disorder.

A common neural system mediating two different forms of social judgement

BACKGROUND

A wide range of neuropsychiatric conditions, including schizophrenia and autistic spectrum disorder (ASD), are associated with impairments in social function. Previous studies have shown that individuals with schizophrenia and ASD have deficits in making a wide range of social judgements from faces, including decisions related to threat (such as judgements of approachability) and decisions not related to physical threat (such as judgements of intelligence). We have investigated healthy control participants to see whether there is a common neural system activated during such social decisions, on the basis that deficits in this system may contribute to the impairments seen in these disorders.

METHOD

We investigated the neural basis of social decision making during judgements of approachability and intelligence from faces in 24 healthy participants using functional magnetic resonance imaging (fMRI). We used conjunction analysis to identify common brain regions activated during both tasks.

RESULTS

Activation of the amygdala, medial prefrontal cortex, inferior prefrontal cortex and cerebellum was seen during performance of both social tasks, compared to simple gender judgements from the same stimuli. Task-specific activations were present in the dorsolateral prefrontal cortex in the intelligence task and in the inferior and middle temporal cortex in the approachability task.

CONCLUSIONS

The present study identified a common network of brain regions activated during the performance of two different forms of social judgement from faces. Dysfunction of this network is likely to contribute to the broad-ranging deficits in social function seen in psychiatric disorders such as schizophrenia and ASD.

Hippocampal function in schizophrenia and bipolar disorder

BACKGROUND

The hippocampus plays a central role in memory formation. There is considerable evidence of abnormalities in hippocampal structure and function in schizophrenia, which may differentiate it from bipolar disorder. However, no previous studies have compared hippocampal activation in schizophrenia and bipolar disorder directly.

METHOD

Fifteen patients with schizophrenia, 14 patients with bipolar disorder and 14 healthy comparison subjects took part in the study. Subjects performed a face-name pair memory task during functional magnetic resonance imaging (fMRI). Differences in blood oxygen level-dependent (BOLD) activity were determined during encoding and retrieval of the face-name pairs.

RESULTS

The patient groups showed significant differences in hippocampal and prefrontal cortex (PFC) activation during face-name pair learning. During encoding, patients with schizophrenia showed decreased anterior hippocampal activation relative to subjects with bipolar disorder, whereas patients with bipolar disorder showed decreased dorsal PFC activation relative to patients with schizophrenia. During retrieval, patients with schizophrenia showed greater activation of the dorsal PFC than patients with bipolar disorder. Patients with schizophrenia also differed from healthy control subjects in the activation of several brain regions, showing impaired superior temporal cortex activation during encoding and greater dorsal PFC activation during retrieval. These effects were evident despite matched task performance.

CONCLUSIONS

Patients with schizophrenia showed deficits in hippocampal activation during a memory task relative to patients with bipolar disorder. The disorders were further distinguished by differences in PFC activation. The results demonstrate that these disorders can distinguished at a group level using non-invasive neuroimaging.

Functional imaging of emotional memory in bipolar disorder and schizophrenia

OBJECTIVES

Although in current diagnostic criteria there exists a distinction between bipolar disorder and schizophrenia, many patients manifest features of both disorders, and it is unclear which aspects, if any, confer diagnostic specificity. In the present study, we investigate whether there are differences in medial temporal lobe (MTL) activation in bipolar disorder and schizophrenia. We also investigate associations between activation levels and symptom severity across the disorders.

METHODS

Functional magnetic resonance imaging scans were conducted on 14 healthy controls, 14 patients with bipolar disorder, and 15 patients with schizophrenia undergoing an emotional memory paradigm.

RESULTS

All groups demonstrated the expected pattern of behavioural responses during encoding and retrieval, and there were no significant group differences in performance. Robust MTL activation was seen in all three groups during viewing of emotional scenes, which correlated significantly with recognition memory for emotional stimuli. The bipolar group demonstrated relatively greater increases in activation for emotional versus neutral scenes in the left hippocampus than both controls and patients with schizophrenia. There was a significant positive correlation between mania scores and activation in the anterior cingulate, and a significant negative correlation between depression scores and activation in the dorsolateral prefrontal cortex.

CONCLUSION

These results provide evidence that there are distinct patterns of activation in the MTL during an emotional memory task in bipolar disorder and schizophrenia. They also demonstrate that different mood states are associated with different neurobiological responses to emotion across the patient groups.

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.

Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: procedure development using CaliBrain structural MRI data

BACKGROUND

Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from multiple centres. The CaliBrain project was designed to provide for an assessment of scanner differences at three centres in Scotland, and to assess the practicality of pooling scans from multiple-centres.

METHODS

We scanned healthy subjects twice on each of the 3 scanners in the CaliBrain project with T1-weighted sequences. The tissue classifier supplied within the Statistical Parametric Mapping (SPM5) application was used to map the grey and white tissue for each scan. We were thus able to assess within scanner variability and between scanner differences. We have sought to correct for between scanner differences by adjusting the probability mappings of tissue occupancy (tissue priors) used in SPM5 for tissue classification. The adjustment procedure resulted in separate sets of tissue priors being developed for each scanner and we refer to these as scanner specific priors.

RESULTS

Voxel Based Morphometry (VBM) analyses and metric tests indicated that the use of scanner specific priors reduced tissue classification differences between scanners. However, the metric results also demonstrated that the between scanner differences were not reduced to the level of within scanner variability, the ideal for scanner harmonisation.

CONCLUSION

Our results indicate the development of scanner specific priors for SPM can assist in pooling of scan resources from different research centres. This can facilitate improvements in the statistical power of quantitative brain imaging studies.

Genetic variation in the DAOA (G72) gene modulates hippocampal function in subjects at high risk of schizophrenia

BACKGROUND

Strong evidence exists for an association between genetic variation in the gene DAOA (D-amino acid oxidase activator, also known as G72) and risk for schizophrenia. Preliminary evidence in healthy control subjects has implicated genetic variation in the DAOA gene in the modulation of hippocampal complex and prefrontal cortex activation.

METHODS

Assessment was performed on 61 subjects at high genetic risk of schizophrenia for familial reasons. All subjects were genotyped for two closely linked single nucleotide polymorphisms in the DAOA gene complex, M23 (rs3918342) and M24 (rs1421292), that have previously shown association with schizophrenia. The effect of genotype on brain activation was assessed with functional magnetic resonance imaging data gathered during performance of the verbal initiation section of the Hayling Sentence Completion Task.

RESULTS

Differences between DAOA genotype groups were seen in the activation of the left hippocampus and parahippocampus in the contrast of sentence completion versus rest. In addition the DAOA genotype groups differed in their recruitment of right inferior prefrontal cortex in relation to increasing task difficulty. The effects of genotype on brain activation could not be explained in terms of differences in grey matter density.

CONCLUSIONS

These results support the view that genetic variation in the DAOA gene influences hippocampal complex and prefrontal cortex function, an effect that might be particularly prominent in the context of enhanced genetic risk for schizophrenia.

Overactivation of fear systems to neutral faces in schizophrenia

BACKGROUND

The amygdala plays a central role in detecting and responding to fear-related stimuli. A number of recent studies have reported decreased amygdala activation in schizophrenia to emotional stimuli (such as fearful faces) compared with matched neutral stimuli (such as neutral faces). We investigated whether the apparent decrease in amygdala activation in schizophrenia could actually derive from increased amygdala activation to the neutral comparator stimuli.

METHODS

Nineteen patients with schizophrenia and 24 matched control participants viewed pictures of faces with either fearful or neutral facial expressions, and a baseline condition, during functional magnetic resonance imaging scanning.

RESULTS

Patients with schizophrenia showed a relative decrease in amygdala activation to fearful faces compared with neutral faces. However, this difference resulted from an increase in amygdala activation to the neutral faces in patients with schizophrenia, not from a decreased response to the fearful faces.

CONCLUSIONS

Patients with schizophrenia show an increased response of the amygdala to neutral faces. This is sufficient to explain their apparent deficit in amygdala activation to fearful faces compared with neutral faces. The inappropriate activation of neural systems involved in fear to otherwise neutral stimuli may contribute to the development of psychotic symptoms in schizophrenia.

Prefrontal function and activation in bipolar disorder and schizophrenia

OBJECTIVE

Distinctive patterns of speech and language abnormalities are associated with bipolar disorder and schizophrenia. It is, however, unclear whether the associated patterns of neural activation are diagnosis specific. The authors sought to determine whether there are differences in language-associated prefrontal activation that discriminate bipolar disorder and schizophrenia.

METHOD

Forty-two outpatients with bipolar I disorder, 27 outpatients with schizophrenia, and 37 healthy comparison subjects were recruited. Differences in blood oxygen level-dependent activity were evaluated using the Hayling Sentence Completion Test and analyzed in Statistical Parametric Mapping (SPM) 2. Differences in activation were estimated from a sentence completion versus rest contrast and from a contrast of decreasing sentence constraint. Regional activations were related to clinical variables and performance on a set shifting task and evaluated for their ability to differentiate among the three groups.

RESULTS

Patients with bipolar disorder showed differences in insula and dorsal prefrontal cortex activation, which differentiated them from patients with schizophrenia. Patients with bipolar disorder recruited the orbitofrontal cortex and ventral striatum to a greater extent relative to healthy comparison subjects on the parametric contrast of increasing difficulty. The gradient of ventral striatal and prefrontal activation was significantly associated with reversal errors in bipolar disorder patients.

CONCLUSIONS

Brain activations during the Hayling task differentiated patients with bipolar disorder from comparison subjects and patients with schizophrenia. Patients with bipolar disorder showed abnormalities in frontostriatal systems associated with performance on a set shifting task. This finding suggests that bipolar disorder patients engaged emotional brain areas more than comparison subjects while performing the Hayling task.

Correlations between fMRI activation and individual psychotic symptoms in un-medicated subjects at high genetic risk of schizophrenia

BACKGROUND

It has been proposed that different types of psychopathology in schizophrenia may reflect distinguishable pathological processes. In the current study we aimed to address such associations in the absence of confounders such as medication and disease chronicity by examining specific relationships between fMRI activation and individual symptom severity scores in un-medicated subjects at high genetic risk of schizophrenia.

METHODS

Associations were examined across two functional imaging paradigms: the Hayling sentence completion task, and an encoding/retrieval task, comprising encoding (at word classification) and retrieval (old word/new word judgement). Symptom severity was assessed using the positive and negative syndrome scale (PANSS). Items examined were hallucinations, delusions, and suspiciousness/persecution.

RESULTS

Associations were seen in the anterior middle temporal gyrus in relation to hallucination scores during the sentence completion task, and in the medial temporal lobe in association with suspiciousness/persecution scores in the encoding/retrieval task. Cerebellar activation was associated with delusions and suspiciousness/persecution scores across both tasks with differing patterns of laterality.

CONCLUSION

These results support a role for the lateral temporal cortex in hallucinations and medial temporal lobe in positive psychotic symptoms. They also highlight the potential role of the cerebellum in the formation of delusions. That the current results are seen in un-medicated high risk subjects indicates these associations are not specific to the established illness and are not related to medication effects.

The neurobiological underpinnings of risk and conversion in relatives of patients with schizophrenia

Schizophrenia is associated with deficits in many domains of cognitive function, along with structural and functional brain abnormalities, most notably in prefrontal and temporal lobes. In recent years, a number of research groups have turned to the study of relatives of affected individuals with the aim of determining if similar cognitive deficits and brain abnormalities are also found in those with increased genetic vulnerability to the disorder. In this article studies on such individuals are discussed. It is concluded that deficits are generally apparent in relatives, which are similar to but less marked than those seen in patients with schizophrenia. The literature on predictors of conversion in people at genetic high risk is much smaller, but suggests a combination of baseline trait severity and further change in key measures.

Relationship of catechol-O-methyltransferase variants to brain structure and function in a population at high risk of psychosis

BACKGROUND

There is growing evidence that the gene catechol-O-methyltransferase (COMT) is involved in the etiopathogenesis of schizophrenia. This study sought to clarify the effects of the COMT Val158Met polymorphism on brain structure, function, and risk of developing schizophrenia in a well-characterized cohort of individuals at high risk of schizophrenia for familial reasons.

METHODS

In a sample of 78 people at high genetic risk of schizophrenia, the risk of progression to schizophrenia associated with the COMT Val allele was estimated. The relationship of the Val allele to brain structure and function was investigated using structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data collected on the high-risk subjects before their disease outcome was known.

RESULTS

The COMT Val allele increased the risk of schizophrenia in this cohort in a dose-dependent manner. Subjects with the COMT Val allele had reduced gray matter density in anterior cingulate cortex. In addition, there was evidence of increased activation in lateral prefrontal cortex and anterior and posterior cingulated, with increasing sentence difficulty in those with the COMT Val allele despite a similar level of performance.

CONCLUSIONS

The COMT Val allele is associated with an increased risk of schizophrenia in subjects at increased familial risk, in whom it has demonstrable effects on prefrontal brain structure and function. These patterns of altered brain structure and function have previously been associated with schizophrenia in this and other samples.

Grey matter changes can improve the prediction of schizophrenia in subjects at high risk

BACKGROUND

We hypothesised that subjects at familial high risk of developing schizophrenia would have a reduction over time in grey matter, particularly in the temporal lobes, and that this reduction may predict schizophrenia better than clinical measurements.

METHODS

We analysed magnetic resonance images of 65 high-risk subjects from the Edinburgh High Risk Study sample who had two scans a mean of 1.52 years apart. Eight of these 65 subjects went on to develop schizophrenia an average of 2.3 years after their first scan.

RESULTS

Changes over time in the inferior temporal gyrus gave a 60% positive predictive value (likelihood ratio >10) of developing schizophrenia compared to the overall 13% risk in the cohort as a whole.

CONCLUSION

Changes in grey matter could be used as part of a predictive test for schizophrenia in people at enhanced risk for familial reasons, particularly for positive predictive power, in combination with other clinical and cognitive predictive measures, several of which are strong negative predictors. However, because of the limited number of subjects, this test requires independent replication to confirm its validity.

Parcellating the temporal lobes from magnetic resonance images using generic software in subjects at high risk of developing schizophrenia

A number of reliable techniques have been described that can parcellate temporal neo-cortex from MRI images to preserve topographical characteristics of individual brains, but these tend to use in-house software. We describe here an adaptation of the methods previously described by Kim et al. [Kim, J.J., Crespo-Facorro, B., Andreasen, N.C., O'Leary, D.S., Zhang, B., Harris, G., Magnotta, V.A., 2000. An MRI-based parcellation method for the temporal lobe. Neuroimage 11, 271-288], but utilising commercially and, therefore, generally available software. Using Analyze, we traced individual sulci and identified coronal bounding planes, and used a combination of three orthogonal plane views, manual limit tracing and semi-automated edge detection to parcellate 13 sub-regions of temporal neo-cortex from sets of serial coronal slices. We applied this technique to the baseline scans of the first seven subjects in the Edinburgh High Risk Study (EHRS) who developed schizophrenia, and a matched group of healthy controls, to see if temporal lobe sub-regional volumes could predict the onset of schizophrenia. Two relatively inexperienced raters developed these techniques in a short time period, and intra-rater intra-class correlation coefficients (ICC) ranged from 0.56 to 0.99, while the mean inter-rater ICC was 0.90 (range 0.55-0.99). There were, however, no significant differences in temporal lobe sub-regional volumes between the two groups we examined. We have, therefore, developed a reliable parcellation technique that requires relatively little training. It is, however, a laborious process, and it remains uncertain whether it is more sensitive to early disease processes in pre-schizophrenia than are other image-analysis techniques.

A neuregulin 1 variant associated with abnormal cortical function and psychotic symptoms

NRG1, encoding neuregulin 1, is a susceptibility gene for schizophrenia, but no functional mutation causally related to the disorder has yet been identified. Here we investigate the effects of a variant in the human NRG1 promoter region in subjects at high risk of schizophrenia. We show that this variant is associated with (i) decreased activation of frontal and temporal lobe regions, (ii) increased development of psychotic symptoms and (iii) decreased premorbid IQ.

Event-related fMRI of word classification and successful word recognition in subjects at genetically enhanced risk of schizophrenia

BACKGROUND

Verbal declarative memory is a core deficit in schizophrenia patients, seen to a lesser extent in unaffected biological relatives. Neuroimaging studies suggest volumetric differences and aberrant function in prefrontal and temporal regions in schizophrenia patients compared to controls. These deficits are also reflected in the small number of similar investigations in unaffected biological relatives. However, it is unclear the extent to which dysfunction is genetically mediated or a feature of the established illness.

METHOD

Event-related blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) was used to measure brain activation in 68 biological relatives of schizophrenia patients (of whom 27 experienced transient or isolated psychotic symptoms) and 21 controls during verbal classification and recognition.

RESULTS

During word classification, the high-risk group showed a greater response relative to controls in the right inferior frontal gyrus. During correct recognition (relative to correct rejection), the high-risk group showed significantly greater response relative to controls in the right cerebellum. When the high-risk group was split into those with (HR+) and without (HR-) psychotic symptoms, the increased response in the right inferior frontal gyrus was only seen when the HR+ were compared to controls. The greater cerebellar response was seen when both HR groups were compared to controls.

CONCLUSIONS

Activation increases in the right inferior frontal gyrus and cerebellum in high-risk subjects compared to controls during a relatively low-load memory task are likely to represent compensation for genetically mediated abnormalities. This is consistent with a leftward shift of the inverted 'U' load-response model of cognitive function in schizophrenia.

Functional imaging as a predictor of schizophrenia

BACKGROUND

Prospective studies of young individuals at high risk of schizophrenia allow the investigation of whether neural abnormalities predate development of illness and, if present, have the potential to identify those who may become ill.

METHODS

We studied young individuals with at least two relatives with the disorder. At baseline functional magnetic resonance imaging (fMRI) scan, none met criteria for any psychiatric disorder, but four subjects subsequently developed schizophrenia. We report the baseline functional imaging findings in these subjects performing a sentence completion task compared with normal control subjects (n = 21) and those at high risk with (n = 21) and without (n = 41) psychotic symptoms who have not developed the disorder.

RESULTS

High-risk subjects who became ill demonstrated increased activation of the parietal lobe, decreased activation of the anterior cingulate, and smaller increases in activation with increasing task difficulty in the right lingual gyrus and bilateral temporal regions. The hypothesized predictive power of parietal activation was supported only in combination with lingual gyrus activity, which gave a positive predictive value in this sample of .80.

CONCLUSIONS

Although these findings should be considered cautiously, as only four subjects who had an fMRI scan subsequently became ill, they suggest functional abnormalities are present in high-risk subjects who later became ill, which distinguish them not only from normal control subjects but also those at high risk who had not developed the disorder. These differences are detectable with fMRI and may have clinical utility.

A visual joke fMRI investigation into Theory of Mind and enhanced risk of schizophrenia

Theory of Mind (ToM) or mentalizing is the ability of individuals to determine the intentions and behavior of others. This ability is known to be compromised in schizophrenia and has been shown to fluctuate with symptom severity. Neuropsychological investigations into relatives of individuals with schizophrenia have shown that some relatives also show a deficit in this area of social cognition. In order to address this state and trait issue, we investigated the performance of high-risk relatives of individuals with schizophrenia to those of a matched control group (n = 13) on a blocked design visual joke fMRI paradigm. The task involved looking at two sets of cartoon jokes, one set which required mentalizing abilities to understand the jokes and another set that did not require such abilities. Relatives were divided into two groups based on the presence (HR+, n = 12) or absence (HR-, n = 12) of positive symptoms. The task provided robust activations across the groups in areas previously associated with mentalizing abilities, such as the PFC, precuneus, and temporal lobes. Significant between-group activations were observed in the PFC (primarily BA6, 8, and 9) with the HR- activating significantly greater than the HR+ in these regions. Both a secondary state-specific analysis and a third post hoc analysis further investigating state effects showed significant PFC between-group differences. This study is the first time relatives of individuals with schizophrenia have been imaged using a ToM paradigm, and the results provide evidence of both a state and state-mediated trait effect.

Genetic liability to schizophrenia or bipolar disorder and its relationship to brain structure

Bipolar disorder and schizophrenia are highly heritable conditions that are associated with structural brain abnormalities. Although brain abnormalities are found in the well relatives of people with schizophrenia, the extent to which genetic liability relates to brain structure in either disorder is still unclear. This study sought to ascertain the effects of genetic liability to schizophrenia and bipolar disorder on white and grey matter volume in patients with these diagnoses and their well relatives. Seventy-one patients and 72 unaffected relatives were recruited for the study. Patients included those with schizophrenia from families affected by schizophrenia alone, those with bipolar disorder from families affected by bipolar disorder alone and those with bipolar disorder from families affected by both bipolar disorder and schizophrenia. Samples of unaffected relatives of each patient group were also recruited. Subjects underwent an MRI scan of the brain, which was analysed using optimised voxel-based morphometry (VBM). Grey and white matter volume was then related to a continuous measure of genetic liability based on a threshold-liability model. Genetic liability to schizophrenia was associated with decreased grey matter volume in dorso- (DLPFC) and ventrolateral prefrontal (VLPFC) cortices. The relationship remained after diagnostic status had been taken into account. Complementary white matter changes were also demonstrated. No relationship was demonstrated between a genetic liability to bipolar disorder and either white or grey matter volume. Genes that raise the likelihood of developing schizophrenia may exert their effects by diminishing grey matter volume in the DLPFC and VLPFC and their associated white matter connections. Genes for bipolar illness might have subtle effects on brain structure, which may need particularly large samples to detect.

Empirical comparison of maximal voxel and non-isotropic adjusted cluster extent results in a voxel-based morphometry study of comorbid learning disability with schizophrenia

We present an empirical comparison of cluster extent and maximal voxel results in a voxel-based morphometry (VBM) study of brain structure. The cluster extents are adjusted for underlying deviation from uniform smoothness. We implement this comparison on a four-group cohort that has previously shown evidence of a neuro-developmental component in schizophrenia (Moorhead, T.W.J., Job, D.E., Whalley, H.C., Sanderson, T.L., Johnstone, E.C. and Lawrie, S.M. 2004. Voxel-based morphometry of comorbid schizophrenia and learning disability: analyses in normalized and native spaces using parametric and nonparametric statistical methods. NeuroImage 22: 188-202.). We find that adjusted cluster extent results provide information on the nature of deficits that occur in the schizophrenia affected groups, and these important structural differences are not all shown in maximal voxel results. The maximal voxel and cluster extent results are corrected for multiple comparisons using Random Fields (RF) methods. In order to apply the cluster extent measures, we propose a post-hoc method for determining the primary threshold in the analysis. Unadjusted cluster extent results are reported, for these, no allowance is made for non-isotropic smoothness, and comparison with the adjusted extent results shows that the unadjusted results can be either conservative or anti-conservative depending upon the underlying tissue distributions.

Grey matter changes over time in high risk subjects developing schizophrenia

Schizophrenia affects approximately 1% of the population and is associated with reductions in brain volume, but when these are first evident is unknown. Magnetic resonance imaging (MRI) has demonstrated abnormalities of brain structure, particularly of the temporal lobes, in schizophrenia. A study of brain structure in individuals destined to develop schizophrenia, before they do so, is crucial to understanding the illness. We used Voxel Based Morphometry (VBM) to map changes in Grey Matter Density (GMD) in 65 young adults at high risk of schizophrenia, for familial reasons, and 19 healthy young adults, over a period of approximately 2 years. All subjects were anti-psychotic naive at both scans. No increases in GMD were found in any of the groups. Within the high-risk group significant declines in GMD were found in the temporal lobes, the right frontal lobe and right parietal lobe. In the control group a decline was found in the right gyrus rectus. No significant differences over time were found between any of the groups. Those individuals at high risk who had transient or isolated psychotic symptoms showed a different spatial pattern of reductions in GMD than those who did not in within group comparisons. In addition, those individuals at high risk who later developed schizophrenia also showed a different spatial pattern of reductions in GMD in the left temporal lobe and right cerebellum, from 2 to 3 years before they were diagnosed. These particular reductions may therefore be able to predict the later onset of schizophrenia.

Functional disconnectivity in subjects at high genetic risk of schizophrenia

Schizophrenia is a highly heritable psychotic disorder. It has been suggested that deficits of the established state arise from abnormal interactions between brain regions. We sought to examine whether such connectivity abnormalities would be present in subjects at high genetic risk for the disorder. Functional connectivity analysis was carried out on functional MRI images from 21 controls and 69 high risk subjects performing the Hayling sentence completion task; 27 high risk subjects reported isolated psychotic symptoms, the remaining high risk subjects and controls did not. There were no significant differences in task performance between the groups. Based on previous findings we hypothesized: (i) state-related differences in connectivity between dorsolateral prefrontal cortex and lateral temporal lobe; (ii) genetically mediated reductions in a medial prefrontal-thalamic-cerebellar network; and (iii) increased prefrontal-parietal connectivity in high risk subjects (to a greater extent in those with isolated psychotic symptoms). Connectivity analysis was performed in two ways: with and without variance associated with task effects modelled and removed from the data. We did not find evidence to support our first hypothesis with either analysis method. However, consistent with hypothesis (ii), decreased connectivity between right medial prefrontal regions and contralateral cerebellum was found. This was only statistically significant in the analysis with task effects modelled and removed from the data. Finally, consistent with hypothesis (iii), increased connectivity between the left parietal and left prefrontal regions in high risk subjects was found in both analyses. These results, all in a situation uncontaminated by the effects of anti-psychotic medication, performance differences and prolonged illness, suggest there are abnormalities in functional connectivity over and above those attributable to task effects in high risk subjects. These connectivity abnormalities may underlie the diverse deficits seen in the established condition and the more subtle deficits seen in close relatives of those with the disorder.

Voxel-based morphometry of comorbid schizophrenia and learning disability: analyses in normalized and native spaces using parametric and nonparametric statistical methods

We employed voxel-based morphometry (VBM) to compare the distributions of grey matter found in structural magnetic resonance imaging (MRI) brain scans of patients with comorbid learning disability with schizophrenia, schizophrenia alone, learning disability alone, and normal controls. Our primary aim was to replicate a previous region of interest (ROI) finding that comorbids and schizophrenics belong to the same population. Nonparametric analysis in normalized space showed no significant differences in grey matter distribution between the comorbid and schizophrenia groups. Furthermore, this analysis showed significant grey matter reductions in the comorbid and schizophrenia groups when compared to the learning-disabled or the normal controls. Parametric analysis localized the significant grey matter reductions between the normal controls and the comorbid and schizophrenia groups to the prefrontal and temporal lobes. It also identified an area of increased grey matter, on the inferior aspect of the postcentral gyrus, in the learning-disabled alone compared to the other groups. Native space parametric and nonparametric analyses, based on modulation of the normalized scans, confirmed the similarity in grey matter distribution of the comorbid and schizophrenia groups. Results confirm the ROI finding that in native space the learning-disabled group possesses the least and normal controls the most grey matter for the cohort. An increase in the basal ganglia of patients with schizophrenia vs. the learning-disabled, probably attributable to antipsychotic medication, was identified in the native space analysis. The native space results did not however register statistically significant temporal lobe reductions found under normalized analysis between schizophrenics and normal controls. This may be attributable to minor physical anomalies (MPA) in the schizophrenic cranium. Overall, these VBM results replicate previous ROI findings and are compatible with the view that comorbid learning disability with schizophrenia is a severe form of schizophrenia, rather than a consequence of learning disability. VBM has the facility to compare grey matter distributions in this structurally diverse cohort.

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.

Voxel-based morphometry of grey matter densities in subjects at high risk of schizophrenia

The grey matter (GM) segments from T1 structural magnetic resonance (MR) images of the brain in subjects at high risk of schizophrenia (n=146) were compared with normal control subjects (n=36) and first episode schizophrenic subjects (n=34) using automated voxel-based morphometry (VBM). The subjects were recruited for the Edinburgh High Risk Study (EHRS) and regional brain volumes had previously been measured using a semi-automated volumetric region of interest (ROI) method of analysis. For the current report, the images were processed using a study specific template and statistically analysed using the SPM99 program. The small volume correction tool in SPM was also used to restrict the analyses to specific voxels. Reductions in the probability of grey matter (GM) density were seen bilaterally in the anterior cingulate, and as a trend in the left parahippocampal gyrus for the high-risk vs. control subjects. In contrast, first episode schizophrenia subjects had less GM than high-risk subjects in several frontal and temporal regions. These results are compatible with the findings of our previous volumetric ROI analysis.

Structural and functional abnormalities of the amygdala in schizophrenia

Schizophrenia is characterized by delusions and hallucinations, which tend to respond to treatment with dopamine receptor blockers, and a loss of motivation and affect, which do not. Structural magnetic resonance imaging (sMRI) has convincingly demonstrated reduced volumes of the amygdala-hippocampal complex (AHC) and other limbic and paralimbic structures, on both manual tracing and automated analyses. The Edinburgh High-Risk Study (EHRS) of initially healthy adolescents with at least two affected relatives has found that AHC volumes are reduced pre-morbidly but not to schizophrenic levels, suggesting that further volume reductions may be associated with the onset of schizophrenia. AHC volumes appear to be genetically mediated in families with a dominant pattern of transmission, whereas prefrontal lobe and basal ganglia volumes are related to genetic liability to schizophrenia in the generality of high-risk subjects. Temporal lobe volumes may fall as psychotic symptoms develop, in the context of drug abuse and stress. Neuropsychological testing has also demonstrated pre-morbid impairments and symptom-related deterioration. More detailed analyses of the temporal lobe changes on sMRI and fronto-temporal dysconnectivity on fMRI are in progress. These findings are discussed with reference to other indications of pre-morbid developmental disturbance in our high-risk subjects, animal models of schizophrenia, and reliable findings from neuropathological, neuropsychological, and functional imaging studies of patients with schizophrenia.

Neuropsychology, genetic liability, and psychotic symptoms in those at high risk of schizophrenia

Neuropsychological assessments were compared among individuals at enhanced genetic risk of schizophrenia (n = 157) and controls (n = 34). The relationship between cognitive impairments and the presence of psychotic symptoms and measures of genetic risk was explored in the high-risk subjects. Neuropsychological differences were identified in many areas of function and were not accounted for by the presence of psychotic symptoms. Genetic liability was not associated with neuropsychological performance or with psychotic symptoms, but exploratory analysis showed some tests were associated with both liability measures. These results suggest that what is inherited is not the disorder itself but a state of vulnerability manifested by neuropsychological impairment, occurring in many more individuals than are predicted to develop the disorder.

Structural gray matter differences between first-episode schizophrenics and normal controls using voxel-based morphometry

The aim of this study was to compare the gray matter segments from T1 structural MR images of the brain in first-episode schizophrenic subjects (n = 34) and normal control subjects (n = 36) using automated voxel-based morphometry (VBM). This study is novel in that few studies have examined subjects in their first episode of schizophrenia. The subjects were recruited for the Edinburgh High Risk project and regional brain volumes were previously measured using a semi-automated volumetric region of interest (ROI) method of analysis. The primary interest was to compare the results from the compatible parts of the ROI study and the primary VBM approach. Our secondary interest was to compare the results of a study-specific template that was constructed from the control group to those using the generic T1 template (152 Montreal Neurological Institute brains) supplied with SPM99 (statistical parametric mapping). The images were processed and statistically analyzed using the SPM99 program. VBM analysis identified significant decreases in gray matter in the schizophrenics relative to the normal control group at the corrected voxel level (P < 0.05) in the right anterior cingulate, right medial frontal lobe, left middle temporal gyrus, left postcentral gyrus, and the left limbic lobe. There were no increases in gray matter in the schizophrenics relative to the control group. The construction of a customized template appeared to improve the detection of structural abnormalities. The analyses were subsequently restricted to voxels within the amygdala-hippocampal complex using the SPM small-volume correction. This identified gray matter decreases in the schizophrenics, at the corrected voxel level (P < 0.05), in the left and right uncus and parahippocampal gyri and the right amygdala. These results are compatible with and extend the relevant findings of the previous volumetric ROI analysis, when allowing for the differences between the methods and interpretation of their results.

Temporal lobe volume changes in people at high risk of schizophrenia with psychotic symptoms

BACKGROUND

Magnetic resonance imaging (MRI) has demonstrated abnormalities of brain structure, particularly of the temporal lobes, in schizophrenia. These are thought to be neurodevelopmental in origin, but when they become evident is unknown.

AIMS

To determine if temporal lobe volumes reduce during the development of symptoms of schizophrenia in initially well people at high risk of this disorder.

METHOD

A group of 66 people who had at least two first- or second-degree relatives with schizophrenia and a control group of 20 healthy people had a structural MRI scan of the whole brain which was repeated after approximately 2 years. Regions of interest, specifically the amygdala-hippocampus complex and the temporal lobes, were traced semi-automatically by three masked raters with good inter-and intrarater reliability.

RESULTS

Regional brain volume changes over 2 years did not differ between high-risk and healthy participants. Within the high-risk group, the 19 people with psychotic symptoms (12 at first assessment) had a mean reduction of 2163 mm(3) in the right temporal lobe compared with 97 mm(3) in the 47 without symptoms (P=0.02).

CONCLUSIONS

Our findings suggest that people at high risk of schizophrenia with psychotic symptoms show reductions in temporal lobe volumes.

Reduced frontotemporal functional connectivity in schizophrenia associated with auditory hallucinations

BACKGROUND

We used functional magnetic resonance imaging (fMRI) to investigate the frontotemporal disconnection hypothesis of schizophrenia.

METHODS

Eight DSM-IV schizophrenia patients and 10 control subjects were studied with fMRI while they thought of the missing last word in 128 visually presented sentences. The fMRI data were analyzed comparing the effect of sentence completion (vs. rest) using a random effects analysis.

RESULTS

There were no significant group differences in regional brain responses. Correlation coefficients between left temporal cortex (x = -54, y = -42, z = 3) and left dorsolateral prefrontal cortex (x = -39, y = 12, z = 24) were significantly lower in the schizophrenic group and were negatively correlated with the severity of auditory hallucinations.

CONCLUSIONS

Previous demonstrations of hypofrontality in schizophrenia may reflect particular task requirements. Frontotemporal functional connectivity is reduced in schizophrenia and may be associated with auditory hallucinations.

Structural MRI of the brain in presumed carriers of genes for schizophrenia, their affected and unaffected siblings

BACKGROUND

Schizophrenia is a highly heritable disorder associated with structural brain abnormalities. The aim of this study was to establish if the gene(s) for schizophrenia are associated with specific abnormalities of brain structure.

SUBJECTS

Six sibships from multiple affected families were recruited. Each sibship consisted of one patient with schizophrenia, one "obligate carrier" without the disorder but with an affected child, and one "non-affected non-carrier". Such sibships are very rare, but present a powerful opportunity to separate the associations of genotype and phenotype. Obligates presumably have the gene(s) but not the disorder, affected siblings have both, whereas non-affected non-carrier siblings have neither.

METHOD

Brain MRI was conducted with a semiautomated region of interest analysis. The risk of false positive findings was reduced by collapsing brain regions and sides into five regions and comparing groups by repeated measures analysis of variance.

RESULTS

In terms of whole brain volumes and volumes of cortical structures, obligates resembled their non-affected non-carrier siblings, both groups having significantly greater volumes than their schizophrenic siblings (p=0.01 and p=0.04). Obligates also had significantly smaller ventricles than their schizophrenic siblings (p=0.03). However, with respect to the amygdalohippocampal complex, the obligates' brains resembled those of their schizophrenic siblings, both groups showing a significant reduction in volume when compared with their non-affected non-carrier siblings (p=0.001).

CONCLUSIONS

In the families studied, reductions in volumes of cortical structures and reductions in whole brain volume seem to be associated with the phenotype of schizophrenia. By contrast, reduced volume of the amygdalohippocampal complex seems to be associated with genetic risk for the disorder even in the absence of disease.

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.

Accuracy and reproducibility of simple cross-sectional linear and area measurements of brain structures and their comparison with volume measurements

Volumetric measurement of brain structure on brain images is regarded as a gold standard, yet is very time consuming. We wondered whether simple linear and area measurements might be as accurate and reproducible. Two observers independently measured the cross-sectional area of the corpus callosum, lentiform and caudate nuclei, thalamus, amygdalas, hippocampi, lateral and third ventricles, and the width of the sylvian and frontal interhemispheric fissures and brain stem on brain MRI of 55 patients using a program written in-house; one observer also measured the volumes of the basal ganglia, amygdalo-hippocampal complex and ventricular system using Analyze, and performed qualitative assessment of four regions (lateral and third ventricles, cortex, and medial temporal lobe) using the Lieberman score. All measures were performed blinded to all other information. Test objects of known size were also imaged with MRI and measured by the two observers using the in-house program. The true sizes of the test objects were measured using engineering calipers by two observers blind to the MRI results. Differences between the two observers using the same measurement method, and one observer using different methods, were calculated. The simple linear and cross-sectional area measurements were rapid (20 min versus 5 h for volumetric); were highly accurate for test-object measurement versus true size; had excellent intraobserver reliability; and, for most brain structures, the simple measures correlated highly significantly with volumetric measures. The simple measures were in general highly reproducible, the difference (as a percentage of the area or width of a region) between the two raters being around 10%, range 0.1%-14.1%, (similar to inter-rater variability in previous studies of volume measurements). The simple linear and area measures are reproducible and correlate well with the measured volumes, and there is a considerable time saving with the former. In circumstances where a large volume of work precludes detailed volume measurement, simple methods are reliable and can be used instead.

Methodological issues in volumetric magnetic resonance imaging of the brain in the Edinburgh High Risk Project

The Edinburgh High Risk Project is a longitudinal study of brain structure (and function) in subjects at high risk of developing schizophrenia in the next 5-10 years for genetic reasons. In this article we describe the methods of volumetric analysis of structural magnetic resonance images used in the study. We also consider potential sources of error in these methods: the validity of our image analysis techniques; inter- and intra-rater reliability; possible positional variation; and thresholding criteria used in separating brain from cerebro-spinal fluid (CSF). Investigation with a phantom test object (of similar imaging characteristics to the brain) provided evidence for the validity of our image acquisition and analysis techniques. Both inter- and intra-rater reliability were found to be good in whole brain measures but less so for smaller regions. There were no statistically significant differences in positioning across the three study groups (patients with schizophrenia, high risk subjects and normal volunteers). A new technique for thresholding MRI scans longitudinally is described (the 'rescale' method) and compared with our established method (thresholding by eye). Few differences between the two techniques were seen at 3- and 6-month follow-up. These findings demonstrate the validity and reliability of the structural MRI analysis techniques used in the Edinburgh High Risk Project, and highlight methodological issues of general concern in cross-sectional and longitudinal studies of brain structure in healthy control subjects and neuropsychiatric populations.

The directional effects of passive eye movement on the directional visual responses of single units in the pigeon optic tectum

We have investigated the visual responses of 184 single units located in the superficial layers of the optic tectum (OT) of the decerebrate, paralysed pigeon. Visual responses were similar to those reported in non-decerebrate preparations; most units responded best to moving visual stimuli, 18% were directionally selective (they had a clear preference for a particular direction of visual stimulus movement), 76% were plane-selective (they responded to movement in either direction in a particular plane). However, we also found that a high proportion of units showed some sensitivity to the orientation of visual stimuli. We examined the effects of extraocular muscle (EOM) afferent signals, induced by passive eye movement (PEM), on the directional visual responses of units. Visual responses were most modified by particular directions of eye movement, although there was no unique relationship between the direction of visual stimulus movement to which an individual unit responded best and the direction of eye movement that caused the greatest modification of that visual response. The results show that EOM afferent signals, carrying information concerning the direction of eye movement, reach the superficial layers of the OT in the pigeon and there modify the visual responses of units in a manner that suggests some role for these signals in the processing of visual information.