Jessika E. Sussmann

White matter tractography in bipolar disorder and schizophrenia.

BACKGROUND Abnormalities of white matter integrity have been repeatedly demonstrated in both schizophrenia and bipolar disorder with voxel based methods. Because these methods are limited in their ability to localize deficits to specific tracts, we sought to investigate alterations in fractional anisotropy (FA) in the uncinate fasciculus and anterior thalamic radiation with probabilistic tractography. METHODS Individuals with schizophrenia (n = 25) or bipolar disorder (n = 40) were recruited from families with two or more affected members and age-matched to a control group (n = 49). All participants underwent diffusion tensor magnetic resonance imaging that was subsequently analyzed with probabilistic tractography. Mean FA was calculated bilaterally for the uncinate and anterior thalamic radiation and compared between groups with repeated measures analysis of variance. RESULTS Patients with schizophrenia or bipolar disorder showed common reductions in the uncinate fasciculus and anterior thalamic radiation. These reductions were unrelated to age, duration of illness, current medication, or current psychiatric symptoms in all patients or the lifetime presence of psychotic symptoms in bipolar subjects. CONCLUSIONS Patients with schizophrenia or bipolar disorder show common abnormalities in the uncinate fasciculus and anterior thalamic radiation that fail to respect traditional diagnostic boundaries. These deficits might be related to shared risk factors and disease mechanisms common to both disorders.

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.

The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA-DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18-85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).

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.

Polygenic Risk and White Matter Integrity in Individuals at High Risk of Mood Disorder

BACKGROUND Bipolar disorder (BD) and major depressive disorder (MDD) are highly heritable and genetically overlapping conditions characterized by episodic elevation and/or depression of mood. Both demonstrate abnormalities in white matter integrity, measured with diffusion tensor magnetic resonance imaging, that are also heritable. However, it is unclear how these abnormalities relate to the underlying genetic architecture of each disorder. Genome-wide association studies have demonstrated a significant polygenic contribution to BD and MDD, where risk is attributed to the summation of many alleles of small effect. Determining the effects of an overall polygenic risk profile score on neuroimaging abnormalities might help to identify proxy measures of genetic susceptibility and thereby inform models of risk prediction. METHODS In the current study, we determined the extent to which common genetic variation underlying risk to mood disorders (BD and MDD) was related to fractional anisotropy, an index of white matter integrity. This was conducted in unaffected individuals at familial risk of mood disorder (n = 70) and comparison subjects (n = 62). Polygenic risk scores were calculated separately for BD and MDD on the basis of genome-wide association study data from the Psychiatric GWAS Consortia. RESULTS We report that a higher polygenic risk allele load for MDD was significantly associated with decreased white matter integrity across both groups in a large cluster, with a peak in the right-sided superior longitudinal fasciculus. CONCLUSIONS These findings suggest that the polygenic approach to examining brain imaging data might be a useful means of identifying traits linked to the genetic risk of mood disorders.

Impact of a microRNA MIR137 susceptibility variant on brain function in people at high genetic risk of schizophrenia or bipolar disorder

A recent ‘mega-analysis’ combining genome-wide association study data from over 40 000 individuals identified novel genetic loci associated with schizophrenia (SCZ) at genome-wide significance level. The strongest finding was a locus within an intron of a putative primary transcript for microRNA MIR137. In the current study, we examine the impact of variation at this locus (rs1625579, G/T; where T is the common and presumed risk allele) on brain activation during a sentence completion task that differentiates individuals with SCZ, bipolar disorder (BD), and their relatives from controls. We examined three groups of individuals performing a sentence completion paradigm: (i) individuals at high genetic risk of SCZ (n=44), (ii) individuals at high genetic risk of BD (n=90), and (iii) healthy controls (n=81) in order to test the hypothesis that genotype at rs1625579 would influence brain activation. Genotype groups were assigned as ‘RISK−’ for GT and GG individuals, and ‘RISK+’ for TT homozygotes. The main effect of genotype was significantly greater activation in the RISK− individuals in the posterior right medial frontal gyrus, BA 6. There was also a significant genotype*group interaction in the left amygdala and left pre/postcentral gyrus. This was due to differences between the controls (where individuals with the RISK− genotype showed greater activation than RISK+ subjects) and the SCZ high-risk group, where the opposite genotype effect was seen. These results suggest that the newly identified SCZ locus may influence brain activation in a manner that is partly dependent on the presence of existing genetic susceptibility for SCZ.

The Neural Basis of Familial Risk and Temperamental Variation in Individuals at High Risk of Bipolar Disorder

BACKGROUND Bipolar disorder is a highly heritable psychiatric disorder characterized by episodic elevation or depression of mood. Bipolar disorder is associated with structural and functional brain abnormalities but it is unclear whether these are present in relatives of affected individuals and if they are associated with subclinical symptoms or traits associated with the disorder. METHODS Functional magnetic resonance imaging scans were conducted on 93 unrelated relatives of bipolar disorder patients and 70 healthy comparison subjects performing the Hayling sentence completion paradigm. Examination of comparison subjects versus high-risk individuals was followed by assessments of associations with depression scores and measures of cyclothymic temperament. RESULTS Examination of comparison subjects versus high-risk subjects revealed increased activation in the high-risk group in the left amygdala. No interaction effects were observed between the groups for scores of depression or cyclothymia and activation in any region. Significant associations were found across the groups with depression ratings and activation in the ventral striatum and with cyclothymia and activation in ventral prefrontal regions, however no interaction effects were observed between the groups. CONCLUSIONS Differences in activation in the left amygdala in those at familial risk may represent a heritable endophenotype of bipolar disorder. Activation in striatal and ventral prefrontal regions may, in contrast, represent a distinct biological basis of subclinical features of the illness regardless of the presence of familial risk.

Review of functional magnetic resonance imaging studies comparing bipolar disorder and schizophrenia.

Whalley HC, Papmeyer M, Sprooten E, Lawrie SM, Sussmann JE, McIntosh AM. Review of functional magnetic resonance imaging studies comparing bipolar disorder and schizophrenia. 
Bipolar Disord 2012: 14: 411–431.

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.

A Genome-wide Association Analysis of a Broad Psychosis Phenotype Identifies Three Loci for Further Investigation

Background Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. Methods 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 695,193 SNPs were conducted using UNPHASED, which combines information across families and unrelated individuals. We attempted to replicate signals found in 23 genomic regions using existing data on nonoverlapping samples from the Psychiatric GWAS Consortium and Schizophrenia-GENE-plus cohorts (10,352 schizophrenia patients and 24,474 controls). Results No individual SNP showed compelling evidence for association with psychosis in our data. However, we observed a trend for association with same risk alleles at loci previously associated with schizophrenia (one-sided p = .003). A polygenic score analysis found that the Psychiatric GWAS Consortium’s panel of SNPs associated with schizophrenia significantly predicted disease status in our sample (p = 5 × 10–14) and explained approximately 2% of the phenotypic variance. Conclusions Although narrowly defined phenotypes have their advantages, we believe new loci may also be discovered through meta-analysis across broad phenotypes. The novel statistical methodology we introduced to model effect size heterogeneity between studies should help future GWAS that combine association evidence from related phenotypes. Applying these approaches, we highlight three loci that warrant further investigation. We found that SNPs conveying risk for schizophrenia are also predictive of disease status in our data.BACKGROUND Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. METHODS 1239 cases with schizophrenia, schizoaffective disorder, or psychotic bipolar disorder; 857 of their unaffected relatives, and 2739 healthy controls were genotyped with the Affymetrix 6.0 single nucleotide polymorphism (SNP) array. Analyses of 695,193 SNPs were conducted using UNPHASED, which combines information across families and unrelated individuals. We attempted to replicate signals found in 23 genomic regions using existing data on nonoverlapping samples from the Psychiatric GWAS Consortium and Schizophrenia-GENE-plus cohorts (10,352 schizophrenia patients and 24,474 controls). RESULTS No individual SNP showed compelling evidence for association with psychosis in our data. However, we observed a trend for association with same risk alleles at loci previously associated with schizophrenia (one-sided p = .003). A polygenic score analysis found that the Psychiatric GWAS Consortiums panel of SNPs associated with schizophrenia significantly predicted disease status in our sample (p = 5 × 10(-14)) and explained approximately 2% of the phenotypic variance. CONCLUSIONS Although narrowly defined phenotypes have their advantages, we believe new loci may also be discovered through meta-analysis across broad phenotypes. The novel statistical methodology we introduced to model effect size heterogeneity between studies should help future GWAS that combine association evidence from related phenotypes. Applying these approaches, we highlight three loci that warrant further investigation. We found that SNPs conveying risk for schizophrenia are also predictive of disease status in our data.

Prediction of Depression in Individuals at High Familial Risk of Mood Disorders Using Functional Magnetic Resonance Imaging

Objective Bipolar disorder is a highly heritable condition. First-degree relatives of affected individuals have a more than a ten-fold increased risk of developing bipolar disorder (BD), and a three-fold risk of developing major depressive disorder (MDD) than the general population. It is unclear however whether differences in brain activation reported in BD and MDD are present before the onset of illness. Methods We studied 98 young unaffected individuals at high familial risk of BD and 58 healthy controls using functional Magnetic Resonance Imaging (fMRI) scans and a task involving executive and language processing. Twenty of the high-risk subjects subsequently developed MDD after the baseline fMRI scan. Results At baseline the high-risk subjects who later developed MDD demonstrated relatively increased activation in the insula cortex, compared to controls and high risk subjects who remained well. In the healthy controls and high-risk group who remained well, this region demonstrated reduced engagement with increasing task difficulty. The high risk subjects who subsequently developed MDD did not demonstrate this normal disengagement. Activation in this region correlated positively with measures of cyclothymia and neuroticism at baseline, but not with measures of depression. Conclusions These results suggest that increased activation of the insula can differentiate individuals at high-risk of bipolar disorder who later develop MDD from healthy controls and those at familial risk who remain well. These findings offer the potential of future risk stratification in individuals at risk of mood disorder for familial reasons.