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

Organizational Data

DRKS-ID:
DRKS00008727
Recruitment Status:
Recruiting planned
Date of registration in DRKS:
2015-06-16
Last update in DRKS:
2015-06-16
Registration type:
Prospective

Acronym/abbreviation of the study

BBC00

URL of the study

No Entry

Brief summary in lay language

The Bayesian brain hypothesis provides a general mathematical framework for understanding many aspects of cognition, in particular learning and decision-making (L&DM). It thus provides a basis for re-conceptualising a wide range of psychological constructs related to L&DM which are usually assessed via self-report. Here, we apply mathematical models to behavioural data from various L&DM tasks, focusing on the question how these models formally capture individual compulsivity as a personality trait that is expressed during L&DM tasks

Brief summary in scientific language

In this project, we aim for a model-based characterization of compulsivity in the normal population, during learning and decision-making (L&DM) tasks, compared to classical questionnaire-based assessments. To this end, we will apply computational models to data from five behavioral L&DM tasks and compare the model parameter estimates statistically to classical questionnaire scores of compulsivity. Additionally, in order to determine neurophysiological correlates of the computational quantities in our mathematical models, we will measure brain activity with EEG and fMRI during two of these tasks.

Health condition or problem studied

Free text:
Healthy participants
Healthy volunteers:
Yes

Interventions, Observational Groups

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

Endpoints

Primary outcome:
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 outcome:
No secondary outcome

Study Design

Purpose:
Basic research/physiological study
Retrospective/prospective:
No Entry
Study type:
Non-interventional
Longitudinal/cross-sectional:
No Entry
Study type non-interventional:
No Entry

Recruitment

Recruitment Status:
Recruiting planned
Reason if recruiting stopped or withdrawn:
No Entry

Recruitment Locations

Recruitment countries:
  • Switzerland
Number of study centers:
Monocenter study
Recruitment location(s):
  • Other Translational Neuromodeling Unit, Forschungsambulanz Zürich

Recruitment period and number of participants

Planned study start date:
2015-07-01
Actual study start date:
No Entry
Planned study completion date:
No Entry
Actual Study Completion Date:
No Entry
Target Sample Size:
210
Final Sample Size:
No Entry

Inclusion Criteria

Sex:
All
Minimum Age:
18 Years
Maximum Age:
40 Years
Additional Inclusion Criteria:
absence of acute or chronic diseases, written informed consent, consent to adhere to the study protocol.

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).

Addresses

Primary Sponsor

Translational Neuromodeling Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich
Prof. Dr. Klaas Enno Stephan
Wilfriedstrasse 6
8032 Zürich
Switzerland
Telephone:
No Entry
Fax:
No Entry
Contact per E-Mail
URL:
http://www.translationalneuromodeling.org/
Investigator Sponsored/Initiated Trial (IST/IIT):
Yes

Contact for Scientific Queries

Translational Neuromodeling Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich
Dr. Frederike Hermi Petzschner
Wilfriedstrasse 6
8032 Zurich
Switzerland
Telephone:
+41 44 634 91 13
Fax:
No Entry
Contact per E-Mail
URL:
http://www.translationalneuromodeling.org/

Contact for Public Queries

Translational Neuromodeilng Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich
Dr. Frederike Hermi Petzschner
Wilfriedstrasse 6
8032 Zurich
Switzerland
Telephone:
+41 44 634 91 13
Fax:
No Entry
Contact per E-Mail
URL:
http://www.translationalneuromodeling.org/

Principal Investigator

Translational Neuromodeling Unit, Institut für Biomedizinische Technik, Universität Zürich und ETH Zürich
Dr. Frederike Hermi Petzschner
Wilfriedstrasse 6
8032 Zurich
Switzerland
Telephone:
+41 44 634 91 13
Fax:
No Entry
Contact per E-Mail
URL:
http://www.translationalneuromodeling.org/

Sources of Monetary or Material Support

Public funding institutions financed by tax money/Government funding body (German Research Foundation (DFG), Federal Ministry of Education and Research (BMBF), etc.)

Translational Neuromodeling Unit,Universität Zürich und ETH Zürich
Wilfriedstrasse 6
8032 Zürich
Switzerland
Telephone:
No Entry
Fax:
No Entry
Contact per E-Mail
URL:
No Entry

Ethics Committee

Address Ethics Committee

Kantonale Ethikkommission Zürich [KEK (Kantonale Ethik Komission Zürich Schweiz)]
Stampfenbachstrasse 121
CH-8090 Zürich
Switzerland
Telephone:
No Entry
Fax:
No Entry
Contact per E-Mail
URL:
http://www.kek.zh.ch/internet/gesundheitsdirektion/kek/de/home.html

Vote of leading Ethics Committee

Date of ethics committee application:
2014-11-09
Ethics committee number:
KEK-ZH-Nr. 2015-0127
Vote of the Ethics Committee:
Pending/not yet approved
Date of the vote:
No Entry

Further identification numbers

Other primary registry ID:
No Entry
EudraCT Number:
No Entry
UTN (Universal Trial Number):
No Entry
EUDAMED Number:
No Entry

IPD - Individual Participant Data

Do you plan to make participant-related data (IPD) available to other researchers in an anonymized form?:
No Entry
IPD Sharing Plan:
No Entry

Study protocol and other study documents

Study protocols:
No Entry
Study abstract:
No Entry
Other study documents:
No Entry
Background literature:
No Entry
Related DRKS studies:
No Entry

Publication of study results

Planned publication:
No Entry
Publikationen/Studienergebnisse:
No Entry
Date of first publication of study results:
No Entry
DRKS entry published for the first time with results:
No Entry

Basic reporting

Basic Reporting / Results tables:
No Entry
Brief summary of results:
No Entry