A posterior-alpha ageing network is differentially associated with antidepressant effects of venlafaxine and rTMS.

Major depressive disorder (MDD) is a highly prevalent psychiatric disorder, but chances for remission largely decrease with each failed treatment attempt. It is therefore desirable to assign a given patient to the most promising individual treatment option as early as possible. We used a polygenic score (PGS) informed electroencephalography (EEG) data-driven approach to identify potential predictors for MDD treatment outcome.

Associations between psychotropic drugs and rsEEG connectivity and network characteristics: a cross-sectional study in hospital-admitted psychiatric patients.

Introduction: Resting-state EEG (rsEEG) characteristics, such as functional connectivity and network topology, are studied as potential biomarkers in psychiatric research. However, the presence of psychopharmacological treatment in study participants poses a potential confounding factor in biomarker research. To address this concern, our study aims to explore the impact of both single and multi-class psychotropic treatments on aforementioned rsEEG characteristics in a psychiatric population.

Individual perspectives and mental maps of working conditions and intention to stay of physicians in academic medicine.

Introduction: Job satisfaction has a strong impact on the intention to stay which is an important aspect to counter skills shortage in academic medicine. The purpose of the three studies reported here is to find out what specific factors are relevant for the intention to stay and turnover intention of physicians in academic medicine -and what measures might have a positive impact on employee retention.

Methods: In an interview study combining qualitative and quantitative methods, we investigated how the individual mental representation of working conditions influences job satisfaction and its impact on the intention to stay.

Clinical outcomes in pediatric inflammatory bowel disease patients: a systematic review of prospective studies.

Background And Aim: We studied response and remission rates in children and adolescents with inflammatory bowel disease whose real-world data were collected prospectively.

Methods: A systematic literature search was performed in MEDLINE, Embase, and the Improve Care Now registry from inception until March 17, 2022. Inclusion criteria were prospective studies with patients < 18 years at diagnosis (M0) and minimum follow-up of 1 year (M12) mentioning disease phenotype and disease activity.

A polygenic-informed approach to a predictive EEG signature empowers antidepressant treatment prediction: A proof-of-concept study.

The treatment of major depressive disorder (MDD) is hampered by low chances of treatment response in each treatment step, which is partly due to a lack of firmly established outcome-predictive biomarkers. Here, we hypothesize that polygenic-informed EEG signatures may help predict antidepressant treatment response. Using a polygenic-informed electroencephalography (EEG) data-driven, data-reduction approach, we identify a brain network in a large cohort (N=1,123), and discover it is sex-specifically (male patients, N=617) associated with polygenic risk score (PRS) of antidepressant response.