Cognitive system

TDCS will be used as an interventional tool to decrease aggression. Using a simultaneous tDCS – fMRI approach, the project aims to enhance cognitive control by repeated prefrontal brain stimulation, investigating its effect on aggression. In addition to gauging tDCS responsivity, identifying the role of individual factors such as genetic profiles in aggression will be a particular focus of this project. By examining brain activity at multiple time points (e.g., before, during multiple stimulation sessions and after tDCS), it will add to the understanding of mechanisms underlying neural tDCS effects and help to identify individual factors that predict responsiveness to the stimulation. To determine the therapeutic potential, we will include psychiatric patients with substance use problems, a group of criminal, violent offenders, and healthy matched controls.

This project aims to identify cognitive and emotion control deficits in the context of negative valence and threat interference and their association with ACE in young offenders. Complementary to other projects, this project will focus on a group of young people defined by their propensity to aggression showing at the same time more severe psychopathologies. In a series of studies using multimodal imaging (EEG-fMRI, EEG-sMRI) in combination with naturalistic longitudinal follow-up (ecological momentary assessment (EMA)) B02 will identify the neural mechanisms and predictors of self-regulation deficits as a putative common developmental pathway for both, aggressive behavior, and psychopathology. Additionally, B02 will seek to causally confirm neural network mechanisms of inhibitory control and emotion regulation deficits as the basis of aggressive behavior and associated psychopathology by real-time EEG-triggered TMS-stimulation in young offenders.

Probe the self-regulation of CS networks in adults and adolescents diagnosed with mental disorders related to frequent stress-associated affective outbursts and aggressive symptoms in posttraumatic stress disorder (PTSD), and BPD. The patients will subsequently be trained to regulate the frontal control network to varying acute threat in a double-blind, randomized, controlled design. An immersive, virtual brain- computer-interface (BCI) will allow for a culture- and age-sensitive, personalized training approach. The aim of the present investigation is to assess feasibility of the approach according to four clinical markers: Reduction of perceived threat and aggressive behavior in daily life, improved control in the face of unfair provocation, and neurofeedback-specific modulation of the neural networks.

Focus on the neural correlates of characterizing cognitive control deficits during conflict situations. The project will investigate patients with varying levels of cognitive control along with their close partners (sibling or intimate partner) to identify the dynamics of self-regulation and co-regulation in provoked conflict situations in patients with control deficits. To identify the precursors and dynamics of conflict escalation, the project will apply measures of behavioral reactions, skin conductance, simulated or real conflict, fMRI and fMRI-hyperscanning techniques and physiological measures. Neuroimaging data will also be combined with information on stress, control and conflicts in real-life via EMA.

Focus on the investigation of a lack of cognitive control in bullies and victims that contributes to the risk of developing mental health problems. Therefore, the project will assess bullies and their victims in real-life and digital social interactions to investigate how aberrant cognitive and affective prefrontal control and sensitivity to peer rejection with accompanied alterations in autonomic arousal may increase externalizing and internalizing behavior. To this end, a unique combination of ambulatory assessments of (cyber-)bullying, functional neuroimaging (emotion regulation, inhibition, social exclusion), physiological assessments (heart rate variability) and clinical trait-related questionnaires will be applied. Decoding dynamic