Loss, gain and choice difficulty in gambling patients: Neural and behavioural processes.

Impaired decision-making is often displayed by individuals suffering from gambling disorder (GD). Since there are a variety of different phenomena influencing decision-making, we focused in this study on the effects of GD on neural and behavioural processes related to loss aversion and choice difficulty. Behavioural responses as well as brain images of 23 patients with GD and 20 controls were recorded while they completed a mixed gambles task, where they had to decide to either accept or reject gambles with different amounts of potential gain and loss. We found no behavioural loss aversion in either group and no group differences regarding loss and gain-related choice behaviour, but there was a weaker relation between choice difficulty and decision time in patients with GD. Similarly, we observed no group differences in processing of losses or gains, but choice difficulty was weaker associated with brain activity in the right anterior insula and anterior cingulate cortex in patients with GD. Our results showed for the first time the effects of GD on neural processes related to choice difficulty. In addition, our findings on choice difficulty give new insights on the psychopathology of GD and on neural processes related to impaired decision-making in GD.

Evaluation of a flexible assertive community treatment (FACT) program for patients with severe mental illness: an observational study in Salzburg, Austria.

BACKGROUND: Inpatient treatment of severe mentally ill patients binds substantial resources and creates the dilemma of "revolving-door hospitalizations". Evidence suggests that these patients benefit more from an assertive outreach community psychiatric treatment. This descriptive study evaluates the implementation of a new treatment program for severe mentally ill patients provided by a flexible assertive community treatment (FACT) team. METHODS: An uncontrolled design with routine data was used to measure the total length of stays, readmission rates and number of contacts one year prior to the implementation of the FACT program and the following first three years of treatment. RESULTS: A continuous decrease of hospitalization among patients with severe mental illness was observed with the implementation of the FACT program with declines in total length of stays and readmission rates and accompanied with a decreasing number of contacts per year. CONCLUSION: Our findings indicate that this program may create effects in stabilizing patients with severe mental illness and may be highly relevant also for other patient groups.

Helper Syndrome and Pathological Altruism in nurses - a study in times of the COVID-19 pandemic.

Background: Pathological Altruism and the concept of Helper Syndrome are comparable. We focused on Schmidbauer's description because it provides a comprehensive and testable definition. Nevertheless, this concept of Helper Syndrome has not yet been empirically investigated in a sample of helping professionals. Aim: To investigate whether nurses working with covid-19 patients are more likely to have Helper Syndrome compared with individuals from non-helper professions. Methods: The online survey took place between April 2021 and February 2022, in urban and rural regions of Salzburg, during the time of the COVID-19 pandemic. Nurses (n = 447) and controls (n = 295) were compared regarding Helper Syndrome characteristics. To measure characteristics of Helper Syndrome the following questionnaires were used: WHO-Five (WHO-5), selected scales of the Personality, Style and Disorder Inventory (PSSI) and the Freiburg Personality Inventory-Revised (FPI-R), the Alcohol Use Disorders Identification Test (AUDIT). Insecure gender identity and self-assessment of having a Helper Syndrome was measured by a Likert scale. Results: In both groups, Helper Syndrome was detected (nurses 29.5%, controls 30.5%). Participants with Helper Syndrome showed significant differences in personality styles and traits, namely significantly higher scores for Foreboding-Schizotypical Personality Style, Spontaneous-Borderline Personality Style, Amiable-Histrionic Personality Style, Ambitious-Narcissistic Personality Style, Loyal-Dependent Personality Style, Helpful-Selfless Personality Style, Carefully-Obsessive Personality Style, Optimistic-Rhapsodic Personality Style, Social Orientation, Strain, Emotionality and lower well-being. The only difference between nurses and controls was that nurses were significantly less open aggressive. Conclusion: For the first time, we were able to demonstrate Schmidbauer's concept of Helper Syndrome. According to our data, we found a subgroup of individuals similar to Schmidbauer's description of Helper Syndrome, but this sample was independent of helping or non-helping profession. These individuals seem to be at higher risk for psychiatric disorders.

Features of Self-Organization during the Process of Mindfulness-Based Stress Reduction: A Single Case Study.

Compared to the extensive evidence of the effectiveness of mindfulness-based interventions, there is only a limited understanding of their mechanisms of change. The three aims of this study are (1) to identify features of self-organization during the process (e.g., pattern transitions), (2) to obtain an impression of the effects of continuous self-assessments and feedback sessions on mindfulness-related stress reduction, and (3) to test the feasibility of high-frequency process monitoring and process feedback. Concerning aim (1), the specific hypothesis is that change will occur as a cascade of discontinuous pattern transitions emerging spontaneously in the sense of not being a reaction to external input. This single case study describes changing patterns of multiple time series that were produced by app-based daily self-assessments during and after an 8-week mindfulness-based stress reduction program. After this MBSR program, the participant (a female nurse) continued the self-assessment and the mindfulness practice for a further 10 months. The results confirm findings on the positive effects of mindfulness programs for healthcare professionals, especially on coping with work-related stress. The analysis of the time series data supports the hypothesis of self-organization as a possible mechanism of change manifesting as a cascade of phase transitions in the dynamics of a biopsychosocial system. At the end of the year, the participant reported a beneficial impact of daily monitoring and systematic feedback on the change process. The results underline the feasibility and usefulness of continuous high-frequency monitoring during and after mindfulness interventions.

Depressive symptoms are more influenced by personality traits and styles than working in nursing-a study during the COVID-19 pandemic.

Background: According to literature, the COVID-19 pandemic caused stressful working conditions for nurses, which may have a negative impact on their Well-Being and mental health. Aim: To investigate whether nurses and non-helping professionals differ in their Well-Being. Furthermore, we analyzed, for the first time, which personality traits and styles are a risk factor for nurses' wellbeing during COVID-19 pandemic. Methods: In an online survey, the following psychological tests were used on nursing staff (n = 518) and non-helping professionals (n = 335): WHO-Five (WHO-5), the Personality, Style and Disorder Inventory (PSSI), and the Freiburg Personality Inventory-Revised (FPI-R). Results: Nurses and non-helping professionals did not differ significantly in terms of Well-Being. The Well-Being of nurses was correlated with the following personality traits and styles, namely Spontaneous-Borderline Personality Style, Silent-Depressive Personality Style, Strain, Emotionality, and Life Satisfaction. According to our results, 33% of participants suffered from clinically significant depressive symptoms. Discussion: According to our results, nurses are not more at risk for depression. However, it was shown that Well-Being during the pandemic is highly dependent on personality. Conclusion: Specific personality traits and styles are a greater predictor of depressive symptoms than profession. The stressful occupational environment during COVID-19 pandemic is not the only cause for depressive symptoms in nurses. Psychotherapeutic interventions are especially important for particular individuals and are necessary to prevent depressive symptoms during COVID-19 pandemic.

Therapeutic alliance and change in suicide ideation among psychiatric inpatients at risk for suicide.

BACKGROUND: Therapeutic alliance is thought to be essential in the treatment of suicidality. Surprisingly, studies about the association between therapeutic alliance and change in suicide ideation over the course of treatment are sparse and reported inconsistent results. Furthermore, theoretically important moderators were rarely explored empirically. METHODS: We investigated the association between therapeutic alliance and change in suicide ideation (difference between intake and discharge), unadjusted and adjusted for potential confounding variables (diagnoses, sociodemographics etc.) in a sample of 351 inpatients treated in a psychiatric department specialized in crisis intervention and suicide prevention. We also explored if the association was moderated by suicide ideation at intake, history of suicide attempts, and borderline personality disorder (BPD). We ran sensitivity analyses for different diagnostic subgroups, history of suicide attempts, and a quantitative measure of BPD symptoms. RESULTS: We found a moderate association between therapeutic alliance and change in suicide ideation (r = 0.30, p < 0.01). This association remained robust after accounting for potentially confounding variables. Suicide ideation at intake, history of suicide attempts, and BPD were not statistically significant moderators. Sensitivity analyses led to similar results. LIMITATIONS: Therapeutic alliance was assessed only at the end of treatment and causality cannot be inferred from our study method. CONCLUSIONS: Therapeutic alliance was a robust correlate of improvement in suicide ideation among psychiatric inpatients at risk for suicide, independent from diagnostic groups and other patient characteristics. Our results support the crucial role of therapeutic alliance in the treatment of patients at risk for suicide.

The association between problematic smartphone use and symptoms of anxiety and depression-a meta-analysis.

BACKGROUND: Recent research links problematic smartphone use (PSU) and mental health problems. The purpose of this meta-analysis was to evaluate the relationship between PSU and symptoms of anxiety and/or depression. METHODS: We searched for research literature published recently in PubMed and Google Scholar via a systematic literature search. Twenty-seven studies published since 2014 with 120 895 participants were included in the meta-analysis. RESULTS: PSU was moderately but robustly associated with both anxiety, r = 0.29 (95% CI: 0.23-0.35), and depression, r = 0.28 (95% CI: 0.22-0.34), P < 0.001 for both. Homogeneity tests showed significant P-values for anxiety and depression, but without affecting the results. Neither the age of the participants, publication year nor the study quality could explain the heterogeneity. Furthermore, we found no evidence for publication bias, since Egger's regression test showed no significance for depression (P = 0.21) and anxiety (P = 0.35). CONCLUSIONS: Our study shows that PSU can be viewed as an indicator of symptoms of anxiety and depression and a possible manifestation of these mental health problems in modern society. Furthermore, PSU as a maladaptive coping behavior may contribute by worsening these symptoms. PSU screening should thus become part of standard clinical psychological diagnostic procedures.

Personality traits and complex problem solving: Personality disorders and their effects on complex problem-solving ability.

Complex problem solving (CPS) can be interpreted as the number of psychological mechanisms that allow us to reach our targets in difficult situations, that can be classified as complex, dynamic, non-transparent, interconnected, and multilayered, and also polytelic. The previous results demonstrated associations between the personality dimensions neuroticism, conscientiousness, and extraversion and problem-solving performance. However, there are no studies dealing with personality disorders in connection with CPS skills. Therefore, the current study examines a clinical sample consisting of people with personality and/or depressive disorders. As we have data for all the potential personality disorders and also data from each patient regarding to potential depression, we meet the whole range from healthy to impaired for each personality disorder and for depression. We make use of a unique operationalization: CPS was surveyed in a simulation game, making use of the microworld approach. This study was designed to investigate the hypothesis that personality traits are related to CPS performance. Results show that schizotypal, histrionic, dependent, and depressive persons are less likely to successfully solve problems, while persons having the additional behavioral characteristics of resilience, action orientation, and motivation for creation are more likely to successfully solve complex problems.

Stability and flexibility in psychotherapy process predict outcome.

Ten good outcome and ten poor outcome psychotherapy cases were compared to investigate whether or not the temporal stability and flexibility of their process variables can predict their outcomes. Each participant was monitored daily using the Therapy Process Questionnaire (TPQ), which has 43 items and seven sub-scales, and responses over time were analyzed in terms of correlation robustness and correlation variability across the TPQ sub-scales. "Correlation robustness" and "correlation variability" are two basic characteristics of any correlation matrix: the first is calculated as the sum of the absolute values of Pearson correlation coefficients, the second as the standard deviation of Pearson correlation coefficients. The results demonstrated that the patients within the poor outcome group had lower values on both variables, suggesting lower stability and flexibility. Furthermore, a higher number of cycles of increase and decrease in correlation robustness and variability of the TPQ sub-scales was observed within good outcome psychotherapies, suggesting that, these cycles can be considered as process-markers of good-outcomes. These results provide support for the validity of these quantitative process-parameters, correlation robustness and variability, in predicting psychotherapeutic outcomes. Moreover, the results lend support to the common clinical experience of alternating periods of flexibility and integration being beneficial to good psychotherapeutic processes.

Psychological online interventions for problem gambling and gambling disorder - A meta-analytic approach.

OBJECTIVE: The Covid-19 pandemic has reignited discussions about the prevalence of and treatment options for problem gambling and gambling disorder (PGGD). Since affected persons seldom seek professional help, online interventions can improve accessibility. Thus, this study aimed to investigate the effectiveness of psychological online interventions on PGGD. METHODS: We conducted a systematic review and meta-analysis and searched in PubMed, PsycINFO, and Google Scholar for peer-reviewed experimental and quasi-experimental research published between 2010 and 2021. We calculated two meta-anlyses, one for treatment control comparisons (TCC), and one for pre-post-comparisons (PCC). RESULTS: We included six studies (ten TCC and n = 2076) in meta-analysis 1 and five studies (six PCC and n = 781) in meta-analysis 2. Online interventions turned out to be effective in both analyses with Hedges g = 0.41, 95% confidence interval = [0.22 to 0.60], p < .001, for meta-anaylsis 1 and Hegdes g = 1.28, 95% confidence interval = [0.85 to 1.71], p < .001, for meta-analysis 2. CONCLUSIONS: We identified significant effects of online interventions on PGGD in both analyses, indicating the potential of online applications. We discuss methodological aspects and further research directions.

Detecting pattern transitions in psychological time series - A validation study on the Pattern Transition Detection Algorithm (PTDA).

With the increasing use of real-time monitoring procedures in clinical practice, psychological time series become available to researchers and practitioners. An important interest concerns the identification of pattern transitions which are characteristic features of psychotherapeutic change. Change Point Analysis (CPA) is an established method to identify the point where the mean and/or variance of a time series change, but changes of other and more complex features cannot be detected by this method. In this study, an extension of the CPA, the Pattern Transition Detection Algorithm (PTDA), is optimized and validated for psychological time series with complex pattern transitions. The algorithm uses the convergent information of the CPA and other methods like Recurrence Plots, Time Frequency Distributions, and Dynamic Complexity. These second level approaches capture different aspects of the primary time series. The data set for testing the PTDA (300 time series) is created by an instantaneous control parameter shift of a simulation model of psychotherapeutic change during the simulation runs. By comparing the dispersion of random change points with the real change points, the PTDA determines if the transition point is significant. The PTDA reduces the rate of false negative and false positive results of the CPA below 5% and generalizes its application to different types of pattern transitions. RQA quantifiers also can be used for the identification of nonstationary transitions in time series which was illustrated by using Determinism and Entropy. The PTDA can be easily used with Matlab and is freely available at Matlab File Exchange (https://www.mathworks.com/matlabcentral/fileexchange/80380-pattern-transition-detection-algorithm-ptda).

Tackling the 'digital pandemic': The effectiveness of psychological intervention strategies in problematic Internet and smartphone use-A meta-analysis.

OBJECTIVE: Problematic Internet and smartphone use is associated with serious mental health problems. We thus investigated the effectiveness of psychological interventions on problematic Internet and smartphone use. METHODS: We conducted a systematic review and meta-analysis and searched in PubMed, PsyArticles, PsycInfo, Medline and Google Scholar for peer-reviewed experimental and quasi-experimental research published between 2008 and 2021. RESULTS: A total of 10 studies accompanied by 14 effect sizes were included in the meta-analyses for problematic Internet use and 3 studies accompanied by 4 effect sizes for problematic smartphone use. The total sample size was n = 1439 with a mean age of 20.34 (SD = 6.63) years. Psychological interventions were effective for both problematic Internet use (g = -1.41, 95% confidence interval = [-1.90, -0.91], p < 0.001) and problematic smartphone use (g = -0.40, 95% confidence interval = [-0.79, -0.01], p < 0.001). CONCLUSION: Current evidence indicates that psychological interventions can be effective in reducing problematic Internet use/problematic smartphone use. However, the results must be considered preliminary due to the limited number of studies available in the respective fields.

Reduced intrinsic neural timescales in schizophrenia along posterior parietal and occipital areas.

We computed intrinsic neural timescales (INT) based on resting-state functional magnetic resonance imaging (rsfMRI) data of healthy controls (HC) and patients with schizophrenia spectrum disorder (SZ) from three independently collected samples. Five clusters showed decreased INT in SZ compared to HC in all three samples: right occipital fusiform gyrus (rOFG), left superior occipital gyrus (lSOG), right superior occipital gyrus (rSOG), left lateral occipital cortex (lLOC) and right postcentral gyrus (rPG). In other words, it appears that sensory information in visual and posterior parietal areas is stored for reduced lengths of time in SZ compared to HC. Finally, we found that symptom severity appears to modulate INT of these areas in SZ.

Pathologically reduced neural flexibility recovers during psychotherapy of OCD patients.

Flexibility is a key feature of psychological health, allowing the individual to dynamically adapt to changing environmental demands, which is impaired in many psychiatric disorders like obsessive-compulsive disorder (OCD). Adequately responding to varying demands requires the brain to switch between different patterns of neural activity, which are represented by different brain network configurations (functional connectivity patterns). Here, we operationalize neural flexibility as the dissimilarity between consecutive connectivity matrices of brain regions (jump length). In total, 132 fMRI scans were obtained from 17 patients that were scanned four to five times during inpatient psychotherapy, and from 17 controls that were scanned at comparable time intervals. Significant negative correlations were found between the jump lengths and the symptom severity scores of OCD, depression, anxiety, and stress, suggesting that high symptom severity corresponds to inflexible brain functioning. Further analyses revealed that impaired reconfiguration (pattern stability) of the brain seems to be more related to general psychiatric impairment rather than to specific symptoms, e.g., of OCD or depression. Importantly, the group × time interaction of a repeated measures ANOVA was significant, as well as the post-hoc paired t-tests of the patients (first vs. last scan). The results suggest that psychotherapy is able to significantly increase the neural flexibility of patients. We conclude that psychiatric symptoms like anxiety, stress, depression, and OCD are associated with an impaired adaptivity of the brain. In general, our results add to the growing evidence that dynamic functional connectivity captures meaningful properties of brain functioning.

Effective Connectivity of the Hippocampus Can Differentiate Patients with Schizophrenia from Healthy Controls: A Spectral DCM Approach.

We applied spectral dynamic causal modelling (Friston et al. in Neuroimage 94:396-407. https://doi.org/10.1016/j.neuroimage.2013.12.009 , 2014) to analyze the effective connectivity differences between the nodes of three resting state networks (i.e. default mode network, salience network and dorsal attention network) in a dataset of 31 male healthy controls (HC) and 25 male patients with a diagnosis of schizophrenia (SZ). Patients showed increased directed connectivity from the left hippocampus (LHC) to the: dorsal anterior cingulate cortex (DACC), right anterior insula (RAI), left frontal eye fields and the bilateral inferior parietal sulcus (LIPS & RIPS), as well as increased connectivity from the right hippocampus (RHC) to the: bilateral anterior insula (LAI & RAI), right frontal eye fields and RIPS. In SZ, negative symptoms predicted the connectivity strengths from the LHC to: the DACC, the left inferior parietal sulcus (LIPAR) and the RHC, while positive symptoms predicted the connectivity strengths from the LHC to the LIPAR and from the RHC to the LHC. These results reinforce the crucial role of hippocampus dysconnectivity in SZ pathology and its potential as a biomarker of disease severity.

Preserved intention understanding during moral judgments in schizophrenia.

INTRODUCTION: Although there is convincing evidence for socio-cognitive impairments in schizophrenia spectrum disorder (SSD), little evidence is found for deficient moral cognition. We investigated whether patients with SSD showed altered moral judgments in a story task where the protagonist either had a neutral or malicious intention towards another person. This paradigm examined whether SSD relates to altered moral cognition in general or specifically to impaired integration of prior information (such as beliefs) in moral judgments. METHODS: 23 patients and 32 healthy controls read vignettes created in a 2 x 2 design. The protagonist in each story either had a neutral or negative intention towards another person which, as a result, either died (negative outcome) or did not die (neutral outcome). Participants rated the moral permissibility of the protagonist's action. Standard null hypothesis significance testing and equivalent Bayes analyses are reported. RESULTS: Schizophrenia patients did not differ significantly in permissibility ratings from healthy controls. This finding was supported by the Bayes analyses which favoured the null hypothesis. Task performance was not related to symptom severity or medication. CONCLUSIONS: The current findings do not support the notion that moral judgments are deficient in schizophrenia. Furthermore, the current study shows that patients do not have observable difficulties in integrating the protagonist's belief in the rating of the moral permissibility of the action-outcome.

Multi-level assessment of obsessive-compulsive disorder (OCD) reveals relations between neural and neurochemical levels.

BACKGROUND: While considerable progress has been made in exploring the psychological, the neural, and the neurochemical dimensions of OCD separately, their interplay is still an open question, especially their changes during psychotherapy. METHODS: Seventeen patients were assessed at these three levels by psychological questionnaires, fMRI, and venipuncture before and after inpatient psychotherapy. Seventeen controls were scanned at comparable time intervals. First, pre/post treatment changes were investigated for all three levels separately: symptom severity, whole-brain and regional activity, and the concentrations of cortisol, serotonin, dopamine, brain-derived neurotrophic factor (BDNF), and immunological parameters (IL-6, IL-10, TNFα). Second, stepwise linear modeling was used to find relations between the variables of the levels. RESULTS: The obsessive-compulsive, depressive, and overall symptom severity was significantly reduced after psychotherapy. At the neural level, the activity in the anterior cingulate cortex (ACC), in frontal regions, in the precuneus, and in the putamen had significantly decreased. No significant changes were found on the neurochemical level. When connecting the levels, a highly significant model was found that explains the decrease in neural activity of the putamen by increases of the concentrations of cortisol, IL-6, and dopamine. CONCLUSION: Multivariate approaches offer insight on the influences that the different levels of the psychiatric disorder OCD have on each other. More research and adapted models are needed.

Convergent Validation of Methods for the Identification of Psychotherapeutic Phase Transitions in Time Series of Empirical and Model Systems.

AIM: In many cases, the dynamics of psychotherapeutic change processes is characterized by sudden and critical transitions. In theoretical terms, these transitions may be "phase transitions" of self-organizing nonlinear systems. Meanwhile, a variety of methods is available to identify phase transitions even in short time series. However, it is still an open question if different methods for timeseries analysis reveal convergent results indicating the moments of critical transitions and related precursors. METHODS AND PROCEDURES: Seven concepts which are commonly used in nonlinear time series analysis were investigated in terms of their ability to identify changes in psychological time series: Recurrence Plots, Change Point Analysis, Dynamic Complexity, Permutation Entropy, Time Frequency Distributions, Instantaneous Frequency, and Synchronization Pattern Analysis, i.e., the dynamic inter-correlation of the system's variables. Phase transitions were simulated by shifting control parameters in the Hénon map dynamics, in a simulation model of psychotherapy processes (one by an external shift of the control parameter and one created by a simulated control parameter shift), and three sets of empirical time series generated by daily self-ratings of patients during the treatment. RESULTS: The applied methods showed converging results indicating the moments of dynamic transitions within an acceptable tolerance. The convergence of change points was confirmed statistically by a comparison to random surrogates. In the three simulated dynamics with known phase transitions, these could be identified, and in the empirical cases, the methods converged indicating one and the same transition (possibly the phase transitions of the cases). Moreover, changes that did not manifest in a shift of mean or variance could be detected. CONCLUSION: Changes can occur in many different ways in the psychotherapeutic process. For instance, there can be very slow and small transitions or very high and sudden ones. The results show the validity and stability of different measures indicating pattern transitions and/or early warning signals of those transitions. This has profound implications for real-time monitoring in psychotherapy, especially in cases where a transition is not obvious to the eye. Reliably identifying points of change is mandatory also for research on precursors, which in turn can help improving treatment.

A Phase Transition of the Unconscious: Automated Text Analysis of Dreams in Psychoanalytic Psychotherapy.

AIM: Psychotherapy could be interpreted as a self-organizing process which reveals discontinuous pattern transitions (so-called phase transitions). Whereas this was shown in the conscious process of awake patients by different measures and at different time scales, dreams came very seldom into the focus of investigation. The present work tests the hypothesis that, by dreaming, the patient gets progressively more access to affective-laden (i.e., emotionally charged) unconscious dimensions. Furthermore, the study investigates if, over the course of psychotherapy, a discontinuous phase transition occurs in the patient's capacity to get in contact with those unconscious dimensions. METHODS AND PROCEDURES: A series of 95 dream narratives reported during a psychoanalytic psychotherapy of a female patient (published as the "dreams of Amalie X") was used for analysis. An automated text analysis procedure based on multiple correspondence analysis was applied to the textual corpus of the dreams, highlighting a 10-factor structure. The factors, interpreted as affective-laden unconscious meaning dimensions, were adopted to define a 10-dimensional phase space, in which the ability of a dream to be associated with one or more local factors representing complex affective-laden meanings is measured by the Euclidean distance (ED) from the origin of this hyperspace. The obtained ED time series has been fitted by an autoregressive integrated moving average (ARIMA) model and by non linear methods like dynamic complexity, recurrence plot, and time frequency distribution. Change point analysis was applied to these non linear methods. RESULTS: The results show an increased frequency and intensity of dreams to get access to affective-laden meanings. Non linear methods identified a phase transition-like jump of the ED dynamics onto a higher complexity level of the dreaming process, suggesting a non linear process in the patient's capacity to get in contact with unconscious dimensions. CONCLUSION: The study corroborates the hypothesis that, by dreaming, the patient gets progressively more access to affective-laden meaning intended as unconscious dimensions. The trajectory of this process has been reproduced by an ARIMA model, and beyond this, non linear methods of time series analysis allowed the identification of a phase transition in the unconscious process of the psychoanalytic therapy under investigation.

Deficient Decision Making in Pathological Gamblers Correlates With Gray Matter Volume in Medial Orbitofrontal Cortex.

Individuals suffering from pathological gambling (PG) show impaired decision making, but it is still not clear how this impairment is related to other traits and neuroanatomical characteristics. In this study, we investigated how the influence of PG on decision making (1) is connected to different impulsivity facets and (2) how it is related to gray matter volume (GMV) in various brain regions. Twenty-eight diagnosed PG patients and 23 healthy controls completed the cups task to measure decision making. In this task, participants had to decide between safe and risky options, which varied in expected value (EV) between risk advantageous, equal EV, and risk disadvantageous choices. A delay discounting task and the Barrant Impulsiveness Scale were applied to assess multiple impulsivity facets. In addition, structural magnetic resonance images were acquired. In comparison to the control group PG patients demonstrated more deficits in decision making, indicated by less EV sensitivity, but there was no significant difference in number of overall risky choices. Also, PG patients showed increased impulsivity in nearly every dimension. Results revealed (1) a positive correlation between decision making impairments and non-planning impulsivity but no significant relation to other impulsivity facets. Although we found no GMV differences between PG patients and controls, (2) a regions of interest analysis showed a correlation between medial orbitofrontal GMV and EV sensitivity in PG patients. Our findings showed that (1) the association between decision making and impulsivity can also be found in PG patients, but only for certain impulsivity facets. This suggests that it is essential to consider measuring different dimensions, when investigating impulsivity in a PG sample. Secondly, our findings revealed that (2) dysfunctional decision making-particularly the component of risk evaluation-is related to decreased GMV in the medial orbitofrontal cortex, a brain region concerned with processing of rewards. Interestingly, we did not find more risky choices for PG patients, and thus, we assume that decision making deficits in PG are primarily related to risk evaluation, not risk seeking, which is in line with our GMV findings.