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Growing Up Together in Society: Amsterdam High-risk Antisocial Cohort

Growing Up Together in Society: Amsterdam High-risk Antisocial Cohort - GUTS High-Risk Antisocial Youth

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON57240
Enrollment
400
Registered
2024-03-17
Start date
2025-01-15
Completion date
Unknown
Last updated
2026-03-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Antisocial behavior risk behavior rule-breaking behavior

Interventions

NVT

Sponsors

Amsterdam UMC
Lead Sponsor

Eligibility

Age
2 Years to 64 Years

Inclusion criteria

Inclusion criteria: Dutch speaking: able to communicate in Dutch without mediation by an interpreter 10-16 years of age at start of first measurement Already had police contact, or there is a rule-breaking, risk behavior present.

Exclusion criteria

Exclusion criteria: Current use of anti-psychotics, steroid hormone medication. If participants use psychotropic medication for ADHD, they will be asked to not take their medication in the morning before coming to the scanner-day Contraindications for MRI and EEGI, including metal implants, heart arrhythmia, claustrophobia and females who are pregnant. Participants should be able and willing to provide informed consent (and for participants under age 16, their legal representatives should also be able and willing to do so)

Design outcomes

Primary

MeasureTime frame
The neural basis of self-regulation, age-related changes in brain function and structure related to self-regulation, and outcomes for self and others in adolescence and adulthood (e.g., contributions to society, antisocial behaviour, academic outcomes, social outcomes). For self-regulation, we calculate the area under the curve (AUC) for various task conditions using a 3 (target: self, friend, stranger) by 2 (choice: now vs. later) design. Subsequently, we employ a repeated measures ANOVA to investigate differences in AUC depending on task conditions. In terms of brain activity, the brain contrast [self-regulation vs. control] will be assessed, and an ANOVA will be conducted with a 3 (target: self, friend, stranger) by 2 (choice: now vs. later) design. This enables us to measure neural activity in brain areas related to self-regulation for oneself and others. For empathy, neural activity is examined while watching a film clip (The Champ). The participants will be given no further instructions other than to pay attention to the movie. This naturalistic fMRI offers the opportunity to obtain and identify patterns of brain activity and functional connectivity of spontaneous (affective) empathy across different brain regions. Behavioural data and eye-tracking will be used to correlate with the neural responses and validate participants* responses. Additionally, at the behavioral level, participants are asked about 'bodily sensation,' where they must indicate on an image where the emotion is felt in the body. Trust is operationalized as the percentage of trust choices in a dichotomous trust game (for example, a trust game in which participants can choose to trust another person or not) relative to different targets (for example, friends and strangers). Regarding neural activity, we will explore contrasts assessing trust > no trust and compare different targets (for example, friend > stranger), as well as a repeated-measures ANOVA with both the tr

Secondary

MeasureTime frame
This study includes a wide range of secondary outcomes, which include structural MRI; self-regulation, empathy, trust, aggression, background measures, parenting measures, behavioural measures, and outcome measures as assessed by questionnaires (see Table 2); hormone data collected with saliva and hair; genetic data collected via saliva (see below); ERPs measured by EEG related to delay discounting, empathy, trust and aggressive responses. All data are continuous data, except for background measures which can also be categorical data (e.g. gender, family situation). Background measurements include questions requesting sensitive data, such as age, income, and ethnicity. We request this sensitive information because one of the objectives of the current study is to obtain a sample that covers a wide range of different backgrounds, in terms of, for instance, income and ethnicity. The lack of information scientists have about participants' backgrounds, and that certain marginalized groups are underrepresented in scientific studies, poses a problem for the generalizability of findings on brain-behavior mechanisms, as well as for the validity, reliability, and reproducibility of results. By asking for sensitive data such as income and ethnicity, we aim to make the current study representative and to communicate transparently about the generalizability of the findings in scientific publications. For participants, the research burden in waves 1, 2, 3 (years 1, 3, 5) consists of the following components: Online questionnaires (1 hour), 1 visit to the Spinoza Center for fMRI and behavioral tasks (2 hours). In waves 1A, 2A (years 2 and 4), the burden consists of: Online questionnaires (1 hour) and a visit to AmsterdamUMC for EEG (2 hours). - This totals to 5 visits, lasting 3 hours per year. In total, 15 hours of burden per participant if they complete all waves. (See Figure 1, 2, 3 in the protocol for an overview).

Countries

Netherlands

Contacts

Public ContactL.M.C. Nauta-Jansen

Amsterdam UMC

l.nauta-jansen@amsterdamumc.nl0621654656

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP) · Data processed: Apr 3, 2026