Investigation of Heschl's gyrus and planum temporale in patients with schizophrenia and bipolar disorder: A proton magnetic resonance spectroscopy study

Background: Superior temporal cortices include brain regions dedicated to auditory processing and several lines of evidence suggest structural and functional abnormalities in both schizophrenia and bipolar disorder within this brain region. However, possible glutamatergic dysfunction within this region has not been investigated in adult patients. Methods: Thirty patients with schizophrenia (38.67 ± 12.46. years of age), 28 euthymic patients with bipolar I disorder (35.32 ± 9.12. years of age), and 30 age-, gender- and education-matched healthy controls were enrolled. Proton magnetic resonance spectroscopy data were acquired using a 3.0. T Siemens MAGNETOM TIM Trio MR system and single voxel Point REsolved Spectroscopy Sequence (PRESS) in order to quantify brain metabolites within the left and right Heschl's gyrus and planum temporale of superior temporal cortices. Results: There were significant abnormalities in glutamate (Glu) (F(2,78) = 8.52, p < 0.0001), N-acetyl aspartate (tNAA) (F(2,81) = 5.73, p = 0.005), creatine (tCr) (F(2,83) = 5.91, p = 0.004) and inositol (Ins) (F(2,82) = 8.49, p < 0.0001) concentrations in the left superior temporal cortex. In general, metabolite levels were lower for bipolar disorder patients when compared to healthy participants. Moreover, patients with bipolar disorder exhibited significantly lower tCr and Ins concentrations when compared to schizophrenia patients. In addition, we have found significant correlations between the superior temporal cortex metabolites and clinical measures. Conclusion: As the left auditory cortices are associated with language and speech, left hemisphere specific abnormalities may have clinical significance. Our findings are suggestive of shared glutamatergic abnormalities in schizophrenia and bipolar disorder. © 2013 Elsevier B.V

Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum

Psychosis spectrum disorder has a complex pathoetiology characterised by interacting environmental and genetic vulnerabilities. The present study aims to investigate the role of gene-environment interaction using aggregate scores of genetic (polygenic risk score for schizophrenia (PRS-SCZ)) and environment liability for schizophrenia (exposome score for schizophrenia (ES-SCZ)) across the psychosis continuum

White Noise Speech Illusions: A Trait-Dependent Risk Marker for Psychotic Disorder?

Introduction: White noise speech illusions index liability for psychotic disorder in case-control comparisons. In the current study, we examined i) the rate of white noise speech illusions in siblings of patients with psychotic disorder and ii) to what degree this rate would be contingent on exposure to known environmental risk factors (childhood adversity and recent life events) and level of known endophenotypic dimensions of psychotic disorder [psychotic experiences assessed with the Community Assessment of Psychic Experiences (CAPE) scale and cognitive ability]. Methods: The white noise task was used as an experimental paradigm to elicit and measure speech illusions in 1,014 patients with psychotic disorders, 1,157 siblings, and 1,507 healthy participants. We examined associations between speech illusions and increasing familial risk (control -> sibling -> patient), modeled as both a linear and a categorical effect, and associations between speech illusions and level of childhood adversities and life events as well as with CAPE scores and cognitive ability scores. Results: While a positive association was found between white noise speech illusions across hypothesized increasing levels of familial risk (controls -> siblings -> patients) [odds ratio (OR) linear 1.11, 95% confidence interval (CI) 1.02-1.21, p = 0.019], there was no evidence for a categorical association with sibling status (OR 0.93, 95% CI 0.79-1.09, p = 0.360). The association between speech illusions and linear familial risk was greater if scores on the CAPE positive scale were higher (p interaction = 0.003; ORlow CAPE positive scale 0.96, 95% CI 0.85-1.07; ORhigh CAPE positive scale 1.26, 95% CI 1.09-1.46); cognitive ability was lower (p interaction < 0.001; ORhigh cognitive ability 0.94, 95% CI 0.84-1.05; ORlow cognitive ability 1.43, 95% CI 1.23-1.68); and exposure to childhood adversity was higher (p interaction < 0.001; ORlow adversity 0.92, 95% CI 0.82-1.04; ORhigh adversity 1.31, 95% CI 1.13-1.52). A similar, although less marked, pattern was seen for categorical patient-control and sibling-control comparisons. Exposure to recent life events did not modify the association between white noise and familial risk (p interaction = 0.232). Conclusion: The association between white noise speech illusions and familial risk is contingent on additional evidence of endophenotypic expression and of exposure to childhood adversity. Therefore, speech illusions may represent a trait-dependent risk marker

Cognitive functioning throughout adulthood and illness stages in individuals with psychotic disorders and their unaffected siblings.

Important questions remain about the profile of cognitive impairment in psychotic disorders across adulthood and illness stages. The age-associated profile of familial impairments also remains unclear, as well as the effect of factors, such as symptoms, functioning, and medication. Using cross-sectional data from the EU-GEI and GROUP studies, comprising 8455 participants aged 18 to 65, we examined cognitive functioning across adulthood in patients with psychotic disorders (n = 2883), and their unaffected siblings (n = 2271), compared to controls (n = 3301). An abbreviated WAIS-III measured verbal knowledge, working memory, visuospatial processing, processing speed, and IQ. Patients showed medium to large deficits across all functions (ES range = -0.45 to -0.73, p < 0.001), while siblings showed small deficits on IQ, verbal knowledge, and working memory (ES = -0.14 to -0.33, p < 0.001). Magnitude of impairment was not associated with participant age, such that the size of impairment in older and younger patients did not significantly differ. However, first-episode patients performed worse than prodromal patients (ES range = -0.88 to -0.60, p < 0.001). Adjusting for cannabis use, symptom severity, and global functioning attenuated impairments in siblings, while deficits in patients remained statistically significant, albeit reduced by half (ES range = -0.13 to -0.38, p < 0.01). Antipsychotic medication also accounted for around half of the impairment in patients (ES range = -0.21 to -0.43, p < 0.01). Deficits in verbal knowledge, and working memory may specifically index familial, i.e., shared genetic and/or shared environmental, liability for psychotic disorders. Nevertheless, potentially modifiable illness-related factors account for a significant portion of the cognitive impairment in psychotic disorders.The European Community’s Seventh Framework Programme under grant agreement No. HEALTH-F2-2010-241909 (EU-GEI)

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

Total white blood cell count, liver enzymes, and metabolic syndrome in schizophrenia

Background/aim: Metabolic syndrome (MetS) is an important clinical issue in patients with schizophrenia, but its associated factors are still ambiguous. The aim of the present study was to test whether there are any associations between MetS and white blood cell (WBC) levels, liver enzymes, or sociodemographic variables. Materials and methods: The study included 91 patients with a diagnosis of schizophrenia. We used the National Cholesterol Education Program’s Third Adult Treatment Protocol criteria to evaluate MetS in patients. Schizophrenia patients with MetS were compared with those without MetS on the basis of demographic and clinical characteristics and total WBC counts. We conducted Spearman’s correlation and binary logistic regression analyses to achieve the best prediction of MetS in schizophrenia. Results: Compared with schizophrenia patients without MetS, those with MetS were older, less educated, and more likely to be smokers. They were also more likely to have a longer duration of the illness, a longer untreated period, and higher alanine aminotransferase (ALT) and WBC levels. MetS was correlated with age, duration of illness, income, ALT, gamma-glutamyl transpeptidase, WBC, and hemoglobin values. Age and WBC levels were found to be the best predictors of MetS. Conclusion: Hemograms and liver tests should be conducted to test for MetS in schizophrenia. © TÜBİTAK

Clinical, neurocognitive, structural imaging and dermatogliphics in schizophrenia according to Kraepelin criteria [Kraepelin ölçütlerine uyan şizofreni hastalari{dotless}nda klinik, nörokognitif, yapi{dotless}sal görüntüleme ve dermatoglifik özellikler]

Introduction: A century ago, Kraepelin stated that the distinctive feature of schizophrenia was progressive deterioration. Kraepelin criteria for schizophrenia are: (1) continuous hospitalization or complete dependence on others for obtaining basic necessities of life, (2) unemployment and (3) no remission for the past five years. We aimed to determine the clinical appearance and structural biological features of Kraepelinian schizophrenia. Methods: The sample consisted of 17 Kraepelinian patients, 30 non-Kraepelinian schizophrenic patients and 43 healthy controls. The Clinical Global Impressions (CGI) and the Positive and Negative Syndrome Scales (PANSS) were used for clinical assessment. The Frontal Assessment Battery (FAB) and the Verbal Fluency and Color Trail Test (CTT) were included in the cognitive battery. Brain magnetic resonance imaging and dermatoglyphic measurements were performed for structural features. Results: Duration of illness, hospitalization, suicide attempts, admission type, presence of a stressor and treatment choice were similar between the two patient groups. Treatment resistance and family history of schizophrenia were more common in Kraepelinian patients. PANSS and CGI subscales scores were also higher in this group. Only the category fluency and CTT-I were different in Kraepelinian patients in comparison to the other patient group. Structural findings were not different between the three groups. Conclusion: Category fluency, which was lower in Kraepelinian patients, is an important marker of a degenerative process. The collection of severe clinical symptoms, family history of psychiatric illness and nonresponse to treatment in this particular group of patients points to the need to conduct further studies including cluster analysis in methodology. © Archives of Neuropsychiatry, published by Galenos Publishing

Perisylvian GABA levels in schizophrenia and bipolar disorder

The aim of this study is to measure GABA levels of perisylvian cortices in schizophrenia and bipolar disorder patients, using proton magnetic resonance spectroscopy (1H-MRS). Patients with schizophrenia (n = 25), bipolar I disorder (BD-I; n = 28) and bipolar II disorder (BD-II; n = 20) were compared with healthy controls (n = 30).1H-MRS data was acquired using a Siemens 3 T whole body scanner to quantify right and left perisylvian structures’ (including superior temporal lobes) GABA levels. Right perisylvian GABA values differed significantly between groups [χ2= 9.62, df: 3, p = 0.022]. GABA levels were significantly higher in the schizophrenia group compared with the healthy control group (p = 0.002). Furthermore, Chlorpromazine equivalent doses of antipsychotics correlated with right hemisphere GABA levels (r2= 0.68, p = 0.006, n = 33). GABA levels are elevated in the right hemisphere in patients with schizophrenia in comparison to bipolar disorder and healthy controls. The balance between excitatory and inhibitory controls over the cortical circuits may have direct relationship with GABAergic functions in auditory cortices. In addition, GABA levels may be altered by brain regions of interest, psychotropic medications, and clinical stage in schizophrenia and bipolar disorder. � 2016 Elsevier Ireland Lt