We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).
Aims
We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.
Method
Based on individual genotypes from case–control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case–case–control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.
Results
Although our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case–case GWAS and that of case–control BPD.
Conclusions
We find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD.
Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data.
Methods
We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors.
Results
The best fitting model had a distinct factor for Appetite/Weight symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms).
Conclusion
The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data.
Rejection-sensitivity is a prevalent yet understudied emotional symptom often associated with adult ADHD. While ADHD research typically focuses on behavioral and cognitive facets, emerging evidence highlights the significance of emotional symptoms. Emotional dysregulation in ADHD impacts psychological well-being and mental health. Our study examines how ADHD symptoms relate to rejection sensitivity, considering factors like resiliency, self-regulation, and overall well-being.
Objectives
Our study seeks to establish a direct connection between ADHD scores and rejection sensitivity among college students. We also investigate the mediating role of well-being, creative executive efficiency, self-regulation, and resilience, while exploring the moderating role of savoring capacity.
Methods
Between February and May of 2023, we conducted a cross-sectional study using an online questionnaire, gathering data from 304 Hungarian higher education students aged 18 to 35. The majority, 78.0%, were female, and 71.4% were full-time students. Most participants were pursuing a bachelor’s degree (56.6%), followed by undivided master’s (21.7%), doctoral studies (13.8%), and traditional master’s degrees (6.9%). We administered the Adult ADHD Self-Report Scale (ASRS-v.1.1), The Mental Health Test (MHT), and the Rejection Sensitivity Questionnaire (A-RSQ) for our research.
Results
First, the ADHD scores were significantly associated with each mediator (well-being: β = -.343, p < .001; creative and executive efficiency: β = -.183, p < .01; self-regulation (β = -.230, p < .001; and resilience: β = -.321, p < .001). There was a direct effect of ADHD scores on rejection sensitivity scores (β = .466, p < .001). Finally, we also detected the indirect effects of ADHD scores on rejection sensitivity scores through the four mediators (β = .227, p < .001). Savoring capacity significantly moderated the relationship between ADHD and rejection sensitivity scores (β = -.244, p < .001).
Conclusions
ADHD scores in our study population significantly correlate with well-being, creative and executive efficiency, self-regulation, and resilience. Furthermore, these scores directly influence rejection sensitivity, suggesting a heightened vulnerability to perceived rejection among those with higher ADHD scores. The indirect effects emphasize that the relationship between ADHD and rejection sensitivity is mediated by the aforementioned positive psychological constructs. This underscores the need for holistic interventions in ADHD populations, addressing not just core ADHD symptoms but also enhancing well-being, cognitive efficiency, self-regulation, and resilience to potentially mitigate rejection sensitivity.
Disclosure of Interest
V. Müller Grant / Research support from: This project received funding from the New National Excellence Program under the Ministry for Culture and Innovation, sourced from the National Research, Development, and Innovation Fund, reference #ÚNKP-23-3-SZTE-66., B. Pikó: None Declared
Major Depressive Disorder (MDD) is associated with a high burden of disease and notable economic costs. Standard treatments (e.g. medication or cognitive therapy) have been shown to be effective, but some patients remain unresponsive. With the knowledge that MDD patients have been shown to display an attentional cognitive bias towards negative stimuli, Cognitive Bias Modification (CBM)-training to focus attention on positive information is thought to improve emotional processing and depressive symptoms. Some studies imply reduced duration and occurrence of microstate D in MDD compared to healthy controls. However, the effect of CBM on microstates is still unclear.
Objectives
(1) To replicate previous findings that duration and occurrence of microstate D is reduced in patients with MDD compared to healthy controls in an independent sample and (2) to investigate the effect of an active CBM-training versus a control-training on microstates and its association with symptom improvements.
Methods
Thirty patients receiving outpatient treatment with MDD according to DSM V (aged 18-60) will be recruited in Essen and Aachen. The control group will consist of 30 healthy age-and-sex-matched participants. Psychological testing will be administered and all participants will be randomized to either an active or a control training. During the next visit, resting state EEG and a GoNoGo Task with positive, neutral and negative pictures will be measured. The participants will take a tablet home to undergo 10 sessions of CBM within 14 days. The training will be consisted of a dot-probe-task. In the active condition the probe will be more likely to appear behind a positive versus a neutral picture, while appearing randomly in the control condition. After 14 days, a second EEG will be recorded.
Results
Differences in duration and occurrence of microstate D between patients and healthy controls will be analyzed by conducting ANCOVAs with age and sex as covariates. ANCOVAs for repeated measurements will be calculated to study effects of time (pre- vs. post-training) and group (patients vs. healthy controls in active training; patients in active vs. patients in control-training), on duration and occurrence of microstate D.
Conclusions
CBM-training is proposed to be an effective treatment option for MDD patients, reflected in a reduced topographical bias of microstate D in EEG.
Hematological diseases represent a diverse disease group ranging from benign to life-threatening conditions, with hematological malignancies being a major cause of mortality in the population worldwide. Although most hematological diseases require ongoing medical care making these conditions even more difficult for patients to endure. Since these diseases can pose many challenges by causing symptoms and limitations in various aspects of daily life, health-related quality of life (HRQoL) is a crucial aspect of their healthcare. Different dimensions of health-related quality of life are influenced by several psychological factors, including illness perception, stigmatization, and optimism: a more positive illness perception, along with optimism and reduced stigmatization, can contribute to a better HRQoL among hematology patients.
Objectives
Since hematological diseases often cause serious life changes, the current study aimed to explore the direct and indirect effects of illness perception on health-related quality of life among hematology patients in Hungary, including stigmatization and optimism as possible contributors.
Methods
In this cross-sectional study, 96 hematology patients (mean age = 56.45 years; SD = 15.55 years; 43.8% female) completed a self-administered survey including the following instruments: EORTC Quality of Life Scale, Brief Illness Perception Questionnaire, Stigma Scale for Chronic Illness, Revised Life Orientation Test.
Results
By creating two pathway models, illness perception had significant indirect effects on physical functioning (β = -.205, p < .05) through role and cognitive functioning while emotional functioning had significant indirect effects on social functioning (β = .369, p < .01) through illness perception and stigmatization, both effects moderated by optimism. After controlling for other factors, both illness perception and emotional functioning directly influenced physical and social functioning, respectively.
Conclusions
Our study supports previous research on the direct and indirect effects of illness perception on HRQoL. Based on our data, more optimistic illness perceptions and greater emotional functioning improve hematology patients’ health-related quality of life by facilitating an unbiased understanding of the disease. Optimism serves as a potential moderating mechanism by positively altering indirect effects. Healthcare professionals need to optimize patients’ illness perception to improve physical and social functioning.
Disclosure of Interest
H. Kiss Grant / Research support from: This work was supported by the New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund, #ÚNKP-22-4-SZTE-301., V. Müller: None Declared, K. Dani: None Declared, B. Pikó: None Declared
Alteration experiments have been performed using RTT7 and synthetic basaltic glasses in MgCl2−CaCl2 salt solution at 190°C. The duration of experiments ranged from 0.25 to 463 days. The alteration products were studied by Scanning Electron Microscope (SEM), Scanning Transmission Electron Microscope (STEM), X-ray diffraction (XRD) and Electron Spectrometry for Chemical Analysis (ESCA). For both glasses, the early alteration product is a hydrotalcite-like compound [Mg6Al2CO3(OH)16·4H2O] in which HPO42−, SO42− and Cl− substitutes for CO32−. The measured basal spacing is 7.68 Å for the hydrotalcite formed from R7T7 glass and 7.62 Å for the hydrotalcite formed from basaltic glass which reflect the high Al/Al + Mg ratios x (0.34 ≤ x ≤ 0.46). The chemical microanalyses show that the hydrotalcite is subsequently covered by a silica-rich gel which evolves into saponite after a few months. These results support the use of basaltic glasses alteration patterns in Mg-rich solution, to understand the long-term behavior of R7T7 nuclear waste glass.
In the hyperarid eastern Sahara, west of the Nile River in Egypt, areas with vegetated eolian mounds have attracted people and animals because of shallow groundwater that at times of high water tables may be reached by hand digging shallow wells. An eolian phreatophytic mound with a living arak bush (Silvadora persica L.) on top, one of three known from this region of SW Egypt, provided a stratigraphic record of its growth. The geochronology of the mounds aggradation and that of a nearby tarfa mound (Tamarix nilatica Bunge) was determined by radiocarbon dating plant macrofossils within the stratigraphic succession. Eolian aggradation of the mound postdates deflation that eroded playa sediments of the Neolithic pluvial that ended ca. 5000 BP and appears to be due to a resurgence of the shallow aquifer. Subsequent deflation of the mounds is apparently due to post-1500 BP aridity. Regional vegetation is described in the Appendix I.
The Classic Maya polities of Baking Pot and Lower Dover developed along two dramatically different trajectories. At Baking Pot, the capital and associated apical elite regime grew concomitantly with surrounding populations over a thousand-year period. The smaller polity of Lower Dover, in contrast, formed when a Late Classic political center was established by an emergent apical elite regime amidst several long-established intermediate elite-headed districts. The different trajectories through which these polities formed should have clear implications for residential size variability. We employ the Gini coefficient to measure variability in household volume to compare patterns of residential size differentiation between the two polities. The Gini coefficients, while similar, suggest greater differentiation in residential size at Baking Pot than at Lower Dover, likely related to the centralized control of labor by the ruling elite at Baking Pot. While the Gini coefficient is synonymous with measuring wealth inequalities, we suggest that in the Classic period Belize River Valley, residential size was more reflective of labor control.
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph–based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system. We have applied the Translator system to answer biomedical questions in the context of a broad array of diseases and syndromes, including Fanconi anemia, primary ciliary dyskinesia, multiple sclerosis, and others. A variety of collaborative approaches have been used to research and develop the Translator system. One recent approach involved the establishment of a monthly “Question-of-the-Month (QotM) Challenge” series. Herein, we describe the structure of the QotM Challenge; the six challenges that have been conducted to date on drug-induced liver injury, cannabidiol toxicity, coronavirus infection, diabetes, psoriatic arthritis, and ATP1A3-related phenotypes; the scientific insights that have been gleaned during the challenges; and the technical issues that were identified over the course of the challenges and that can now be addressed to foster further development of the prototype Translator system. We close with a discussion on Large Language Models such as ChatGPT and highlight differences between those models and the Translator system.
Cancer patients often present with psychological symptoms that affect their quality of life, physical health outcomes and survival. Two of the most frequent psychiatric comorbidities are anxiety and depression. However, the prevalence of these disorders among cancer patients remains unclear, as studies frequently report varying rates. In the present study, we aimed to provide robust point estimates for the prevalence of anxiety and depression for both a mixed cancer sample and for 13 cancer types separately, considering confounding variables.
Methods
In a sample of 7509 cancer outpatients (51.4% female), we used the Hospital Anxiety and Depression Scale to assess rates of anxiety and depression. Applying ordinal logistic regression models, we compared the prevalence of anxiety and depression between different cancer types, controlling for age and gender.
Results
About one third of our sample showed symptoms of anxiety (35.2%) or depression (27.9%), and every sixth patient had a very likely psychiatric condition, with women being more frequently affected. Elderly patients more often showed signs of depression. The prevalence of anxiety and depression was significantly higher in lung and brain cancer patients, than in other cancer patients. Lowest depression rates were found in breast cancer patients.
Conclusions
The prevalence of anxiety and depression is high in cancer patients. Type of cancer is an important predictor for anxiety and depressive symptoms, with lung and brain cancer patients being highly burdened. Considering a personalised medicine approach, physicians should take into account the high prevalence of psychiatric comorbidities and include psychiatric consultations in the treatment plan.
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity, and/or impulsivity. It is one of the most common disabilities in college populations and comorbidity with depression is frequently reported.
Objectives
The aim of the study is to shed light on depression as comorbidity and other intrapersonal correlates of ADHD in young adults.
Methods
Participants were Hungarian university students (N=420; M=24.5, SD=5.0 years). Criteria of the ADHD group were based on the Adult ADHD Self Report Scale V1.1 (ASRS-V.1.1) screening tool. The participants filled in the Beck’s Depression Inventory, the Hyperfocus Scale, Flow State Scale, Academic Persistence Scale, Satisfaction With Life Scale, General Self-Efficacy Scale, and the Connor-Davidson Resilience Scale.
Results
We found that in the group of students who had ADHD symptoms, depression score was significantly (p<.001) higher (M=18.38, SD=5.87) than the control group’s scores (M=14.56, SD=4.45). Frequency of severe depression was 13.4% (moderate: 33.5%) while in the control group: 1.6% and 17.6% respectively. Participants reporting ADHD symptoms (N=164, 39%) also reported lower levels of resilience (M=23.40, SD=6.96), relative to their non-ADHD peers (M=27.69, SD=6.48). Significant differences were found in the areas of self-efficacy, depression, flow and hyperfocus as well, and ADHD symptoms contributed to lower level of life satisfaction (β=-0.24, p<.001).
Conclusions
Our findings suggest that university students reporting symptoms of ADHD may be assisted with strategies that are focused on increasing protective factors (i.e., resilience, self-efficacy, flow) to prevent depression and improve their life satisfaction and quality of life.
The National Science Foundation (NSF) Daniel K. Inouye Solar Telescope (DKIST) has started operations at the summit of Haleakalā (Hawai’i). DKIST joins the nominal science phases of the NASA and ESA Parker Solar Probe and Solar Orbiter encounter missions. By combining in-situ measurements of the near-Sun plasma environment and detailed remote observations of multiple layers of the Sun, the three observatories form an unprecedented multi-messenger constellation to study the magnetic connectivity in the solar system. This work outlines the synergistic science that this multi-messenger suite enables.
In this paper, a proposal for a new method to design load-adaptive microlattice structures for PBF-LB/M manufacturing is presented. For this purpose, a method was developed to stiffen microlattice structures in particular by using self-similar sub-cells to ensure their manufacturability. The quality of the stiffness increase was investigated and verified by finite element simulations. Subsequently, the simulation results were critically discussed with respect to their potential for future design processes for architected materials.
To identify the impact of universal masking on COVID-19 incidence and putative SARS-CoV-2 transmissions events among children’s hospital healthcare workers (HCWs).
Design:
Quasi-experimental study.
Setting:
Single academic free-standing children’s hospital.
Methods:
We performed whole-genome sequencing of SARS-CoV-2- PCR-positive samples collected from HCWs 3 weeks before and 6 weeks after implementing a universal masking policy. Phylogenetic analyses were performed to identify clusters of clonally related SARS-CoV-2 indicative of putative transmission events. We measured COVID-19 incidence, SARS-CoV-2 test positivity rates, and frequency of putative transmission events before and after the masking policy was implemented.
Results:
HCW COVID-19 incidence and test positivity declined from 14.3 to 4.3 cases per week, and from 18.4% to 9.0%, respectively. Putative transmission events were only identified prior to universal masking.
Conclusions:
A universal masking policy was associated with reductions in HCW COVID-19 infections and occupational acquisition of SARS-CoV-2.
Studying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.
Aims
To examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.
Method
Genome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.
Results
Earlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.
Conclusions
AAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.
To conduct international comparisons of self-reports, collateral reports, and cross-informant agreement regarding older adult psychopathology.
Participants:
We compared self-ratings of problems (e.g. I cry a lot) and personal strengths (e.g. I like to help others) for 10,686 adults aged 60–102 years from 19 societies and collateral ratings for 7,065 of these adults from 12 societies.
Measurements:
Data were obtained via the Older Adult Self-Report (OASR) and the Older Adult Behavior Checklist (OABCL; Achenbach et al., 2004).
Results:
Cronbach’s alphas were .76 (OASR) and .80 (OABCL) averaged across societies. Across societies, 27 of the 30 problem items with the highest mean ratings and 28 of the 30 items with the lowest mean ratings were the same on the OASR and the OABCL. Q correlations between the means of the 0–1–2 ratings for the 113 problem items averaged across all pairs of societies yielded means of .77 (OASR) and .78 (OABCL). For the OASR and OABCL, respectively, analyses of variance (ANOVAs) yielded effect sizes (ESs) for society of 15% and 18% for Total Problems and 42% and 31% for Personal Strengths, respectively. For 5,584 cross-informant dyads in 12 societies, cross-informant correlations averaged across societies were .68 for Total Problems and .58 for Personal Strengths. Mixed-model ANOVAs yielded large effects for society on both Total Problems (ES = 17%) and Personal Strengths (ES = 36%).
Conclusions:
The OASR and OABCL are efficient, low-cost, easily administered mental health assessments that can be used internationally to screen for many problems and strengths.
Pharmacogenetics in schizophrenia comprises pharmacokinetical and pharmacodynamical aspects as well as an approach to identify candidate genes associated with therapy response or side effects. Firstly focussing on classical drug targets like dopaminergic or serotonergic receptors, currently also developmental and regulatory genes presumably associated with effects of antipsychotic therapy are identified. The aim of this study was to investigate associations between therapy response in schizophrenic patients and different polymorphisms previously been identified within a genome wide array in rodents treated with MK-801 and/or haloperidol combined with some well-known schizophrenia candidate genes. We genotyped for 200 different polymorphisms in 285 schizophrenic patients, who were treated with different antipsychotics within randomized controlled trials. Psychopathology was measured weekly using the PANSS scale. Correlations between psychopathology and genotypes were calculated by using a linear model (ANCOVA).
We found significant associations between some well-known candidate genes (e.g. D2-, 5HT1A-, and α1A-receptors) and different PANSS subscales at baseline and after four weeks of antipsychotic treatment considered as therapy response. Furthermore we also identified several significant associations between some genes introduced from the animal model and psychopathology at baseline and towards therapy response. Some of them were formerly described in the literature (e.g. Homer1, Phospholipase C and Transthyretin), but most of them have not been related to schizophrenia or antipsychotic treatment by now (e.g. PLEKHA6, CLIC6 and SOSTDC1).
This indicates an involvement of genes in the pathophysiology of schizophrenia apart from yet known candidate genes and might further help in detecting differential therapy response in individuals with schizophrenia.
Since the introduction of second generation antipsychotics (SGA) extrapyramidal-motor symptoms (EPS) have become a lesser problem in the treatment of schizophrenic patients. Yet, some SGAs display these adverse events and first generation antipsychotics are still widely used. Several genetic polymorphisms have been found to be associated with the occurance of EPS.
Objectives
In this study we tried to identify genes related to EPS from an animal model and then replicated the findings in schizophrenic patients.
Aims
To identify new genes and show their relevance in the treatment of schizophrenic patients.
Methods
Rats were treated with haloperidol or saline and differential gene expression was assessed by using microarrays. We genotyped 285 schizophrenic patients for candidate genes and differentially expressed genes derived from the animal model. All patients were treated monotherapeutically with different antipsychotics within randomized controlled trials. EPS were assessed weekly using the ESRS and BAS. We used a linear model (ANCOVA) with PANSS total at baseline, type of medication and premedication as covariates for all investigated SNP's.
Results
We found several SNPs to be associated with the occurance of EPS. The best results were obtained for SNPs within the genes of Phospholipase C epsilon 1 (PLCe1), Methionine Sulfoxide Reductase B3 (MSRB3), Chloride Intracellular Channel 6 (CLIC6), Prolactin Receptor (PRLR) and Dopamine Receptor D4 (DRD4). Effect sizes were between 1.7 and 4.9.
Conclusions
We could replicate some findings of the literature and identified four new genes possibly related to EPS. Some of these genes were recently related to schizophrenia.
Cognitive behavioural therapy (CBT) is an important treatment in conjunction with psychopharmacotherapy in schizophrenia. However, there is only very little research on the effects of such interventions on brain function.
Recent studies have suggested that jumping to conclusions and a specific attributional bias is a predominant cognitive style in patients which might lead to the development of delusions. In this multi-centre fMRI trial, we investigated the effect of nine months of CBT on neural correlates of “jumping to conclusions” and the “attributional style” in patients with psychosis. Eighty patients and 80 control subjects were recruited in six centres and measured with 3-Tesla functional magnetic imaging (fMRI) before and after CBT.
It could be shown that CBT ameliorates differences in brain activations between patients and controls after nine months.
These results support the feasibility of fMRI multicenter trials and sheds further light into the mechanisms relating psychotherapy to brain function in Schizophrenia.