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Reconceptualising cognitive traits in the healthy population:Learning and Decision Making

Reconceptualising cognitive traits in the healthy population:Learning and Decision Making - BBC00

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00008727
Enrollment
210
Registered
2015-06-16
Start date
2015-07-01
Completion date
Unknown
Last updated
2025-04-07

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

Conditions

Healthy participants

Interventions

Group 1: Behavioral Task at a PC (Checking Task, Reversal Task, Set-shifting Task, Volatility Task und Two-Step Task) partially EEG or fMRI measurement

Sponsors

Translational Neuromodeling Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 40 Years

Inclusion criteria

Inclusion criteria: absence of acute or chronic diseases, written informed consent, consent to adhere to the study protocol.

Exclusion criteria

Exclusion criteria: The presence of any one of the following exclusion criteria will lead to exclusion of the participant: Current medication (except hormonal contraceptives), past or present drug abuse except nicotin, any neurological or psychiatric condition (past or present), previous traumatic brain injury or longer loss of consciousness, previous neuro-surgery. Additional EEG-specific exclusion criteria: Inability to sit still for a longer period (sneezing, cuffing, itching, trembling, twitching, pain, etc.), left handedness, pacemaker, dependence on a hearing aid, claustrophobia, people with rastas or bald head Additional MRI-specific exclusion criteria: Subjects with MRI-incompatible metal parts in the body (implants, chips, etc. – see special safety questionnaire in the appendix), inability to lie still for a longer period (sneezing, cuffing, itching, trembling, twitching, pain, etc.), claustrophobia, dependence on a hearing aid, possibility of the presence of any metal fragments in the body (e.g. shell splinters), pregnancy (checked by a urinary pregnancy test immediately prior to the experiment).

Design outcomes

Primary

MeasureTime frame
No primary outcome. The goal is to apply new computational models to data from five behavioral L&DM tasks (checking task, reversal task, set-shifting task, volatility task) and describe the individual extent of compulsive traits in the healthy population. Additionally, in order to determine neurophysiological correlates of the computational quantities in our mathematical models, we will measure brain activity with EEG and fMRI.

Secondary

MeasureTime frame
No secondary outcome

Countries

Switzerland

Contacts

Public ContactFrederike Hermi Petzschner

Translational Neuromodeilng Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich

petzschner@biomed.ee.ethz.ch+41 44 634 91 13

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026