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Introduction: Deviant sexual interest for children (pedophilia, hebephilia) is associated with a higher risk of sexual offending against children (CSA) and consuming child sexual abuse images (CSAI). There is a general shortage of therapeutic programs for individuals who feel sexually attracted to juvenile bodies and are concerned about their sexual behaviour. Efforts to establish regional centres throughout Germany offering preventive support led to the prevention network "Don't become an offender" ("Kein Täter werden"). Objectives: To identify dynamic risk factors (DRFs) and evaluate a treatment programme aiming to reduce CSA and CSAI among potential or existing pedosexual offenders (who have not been legally charged). In addition, changes in the course of therapy are examined to provide information about the accessibility and motivation of the target group and its therapeutic responsiveness. Methods: Participants undergo standardized diagnostic and treatment procedures. Therapy comprises an outpatient psychotherapy program (group therapy) over the course of approx. 48 weekly sessions, optional individual and partner/relative including sessions, as well as additional pharmaceutical treatment. Assessments are carried out through self- and other-reported psychometric test batteries pre-, during and post-treatment up to a 3.5 year follow-up. The test battery includes clinical questionnaires (WHO-5, CTQ-SF), personality questionnaires (ISK-K, NEO-FFI), sexuality questionnaires (EKK-R, KV-M, MSI, HBI-19) and risk assessment procedures (VRAG-R, STATIC-99, VRS:SO). Main outcome measures are self- and externally-reported DRF changes well as offending behaviour characteristics. Results: By September 20, 2023, N=12 individuals were enrolled in the treatment program. All individuals had a deviant sexual preference (exclusive/non-exclusive pedo-/hebephilia). Nine individuals reported past and/or current use of CSAI. Of these, two individuals reported at least one CSA in the past. Three had no previous use of CSAI or CSA history. In the first treatment group (N=6), preliminary results show reduction in dynamic risk factors (e.g., Cognitive Bias, Sexual Compulsivity, Impulsivity) after the first 12 weeks of treatment. The evaluation of additional clinical data is pending. Conclusions: To date, therapy for individuals with pedophilia or hebephilia has been insufficient – particularly when not offending. Ongoing evaluation of the therapy program should provide further insight into responsiveness and therapeutic motivation of this target group. In particular, the impact of therapy on changing dynamic risk factors for CSA and CSAI remains to be examined. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]

The potential influence of astrocytes on neuronal circuitry and psychotic symptoms in schizophrenia have recently been highlighted. Human postmortem studies have observed reduced astrocyte numbers in schizophrenia, but whether this pathology is present at disease onset or accumulates progressively with further psychotic episodes remains unclear. Therefore, we analysed serum levels of the astrocyte-derived proteins glial fibrillary acidic protein (GFAP) and fatty acid-binding protein 7 (FABP7) in acutely ill first-episode (n = 60) and relapsed (n = 34) schizophrenia patients compared to 94 matched controls. Measurements were taken before and 6 weeks after antipsychotic treatment. We found significantly lower levels of GFAP (p < 0.001) and FABP7 (p < 0.001) in patients compared to controls, with no significant differences between first-episode and relapsed patients or changes after treatment. FABP7 negatively correlated with age in controls (r = -0.319, p = 0.002), but not in patients (r = -0.251, p = 0.015). In contrast, GFAP showed no correlation with age. Our findings suggest that lowered GFAP and FABP7 may serve as trait markers of astrocyte pathology in schizophrenia, even prior to antipsychotic treatment. The absent correlation between FABP7 and age in schizophrenia patients, in contrast to controls, may be related to premature brain aging in schizophrenia. Long-term studies are needed to explore the relationship between chronic disease and astrocyte pathology in schizophrenia., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which directly measures in vivo neuronal mass activity with high temporal resolution. Combined with state-of-the-art machine learning (ML) techniques, EEG recordings could potentially yield in silico biomarkers of severe mental disorders., Hypothesis: Pathological and physiological aging processes influence the electrophysiological signatures of schizophrenia (SCZ) and major depressive disorder (MDD)., Study Design: From a single-center cohort (N = 735, 51.6% male) comprising healthy control individuals (HC, N = 245) and inpatients suffering from SCZ (N = 250) or MDD (N = 240), we acquired resting-state 19 channel-EEG recordings. Using repeated nested cross-validation, support vector machine models were trained to (1) classify patients with SCZ or MDD and HC individuals and (2) predict age in HC individuals. The age model was applied to patient groups to calculate Electrophysiological Age Gap Estimation (EphysAGE) as the difference between predicted and chronological age. The links between EphysAGE, diagnosis, and medication were then further explored., Study Results: The classification models robustly discriminated SCZ from HC (balanced accuracy, BAC = 72.7%, P < .001), MDD from HC (BAC = 67.0%, P < .001), and SCZ from MDD individuals (BAC = 63.2%, P < .001). Notably, central alpha (8-11 Hz) power decrease was the most consistently predictive feature for SCZ and MDD. Higher EphysAGE was associated with an increased likelihood of being misclassified as SCZ in HC and MDD (ρHC = 0.23, P < .001; ρMDD = 0.17, P = .01)., Conclusions: ML models can extract electrophysiological signatures of MDD and SCZ for potential clinical use. However, the impact of aging processes on diagnostic separability calls for timely application of such models, possibly in early recognition settings., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.)

Aggression occurs across the population ranging on a symptom continuum. Most previous studies have used magnetic resonance imaging in clinical/forensic samples, which is associated with several confounding factors. The present study examined structural brain characteristics in two healthy samples differing only in their propensity for aggressive behavior. Voxel- and surface-based morphometry (SBM) analyses were performed on 29 male martial artists and 32 age-matched male controls. Martial artists had significantly increased mean gray matter volume in two frontal (left superior frontal gyrus and bilateral anterior cingulate cortex) and one parietal (bilateral posterior cingulate gyrus and precuneus) brain clusters compared to controls (whole brain: p < 0.001, cluster level: family-wise error (FWE)-corrected). SBM analyses revealed a trend for greater gyrification indices in martial artists compared to controls in the left lateral orbital frontal cortex and the left pars orbitalis (whole brain: p < 0.001, cluster level: FWE-corrected). The results indicate brain structural differences between martial artists and controls in frontal and parietal brain areas critical for emotion processing/inhibition of emotions as well as empathic processes. The present study highlights the importance of studying healthy subjects with a propensity for aggressive behavior in future structural MRI research on aggression., (© 2023. The Author(s).)