Neurocognitive ModelMOTILEARNNCT07314112
Motivation, Learning and Decision Making in Changing Environments
An observational study of Neurocognitive Model and Decision-Making, run by Hôpital le Vinatier at 1 site in France.
Trial summary
The main objective of this study is to develop a models of sequential decision-making, learning and motivation that includes emotions as driving forces of adaptive behaviour. Using functional magnetic resonance imaging (fMRI), the investigators will test the hypotheses that distinct parts of the prefrontal cortex play… Read more about this study
- Who is it for?
- Ages 18 to 45 yearsHealthy volunteers can take part
- Conditions the study is for
- Neurocognitive Model, Decision-Making
- How many people
- 120 participants
- Where
- 1 siteFrance
- Study dates
- Jan 2026to Jan 2029
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 45 years
- All sexes
- Healthy volunteers accepted
- Adult
Study population: Healthy volunteers
Who may be able to join
- Age between 18 and 45
- Fluent in French (reading and speaking)
- Membership or entitlement to a social security plan
- Have given written, informed consent to take part in the study
- Normal or corrected-to-normal vision
- Right-handed
Show all 15Show fewer
- Body mass index (BMI) between 18.5 and 30
- Non-inclusion Criteria:
- contraindication to MRI: pacemaker, heart battery, cardiac defibrillator, certain heart valves or neurosurgical clips, cochlear implant, implanted automated injection systems (insulin pump), intraocular metal projectiles, people who work or have worked with metals (excluding X-rays prior to MRI).
- under guardianship or curatorship or deprived of their liberty
- Participating in a clinical trial or in a period of exclusion from a previous clinical trial
- Breast-feeding or pregnant women
- claustrophobia
- Neurological disorder or severe chronic illness (diabetes, heart, kidney, lung or liver disease, inflammatory disease, psychiatric illness, etc.).
- The participant does not wish to be informed of any abnormalities detected during the MRI examination.
Who cannot join
None listed.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
France1 site
INSERM
Bron, 69500
Nils Kolling, PhD, +33 04 72 91 34 95 ext. +33, nils.kolling@inserm.fr
About this study
The main objective of this study is to develop a models of sequential decision-making, learning and motivation that includes emotions as driving forces of adaptive behaviour. Using functional magnetic resonance imaging (fMRI), the investigators will test the hypotheses that distinct parts of the prefrontal cortex play specific roles in naturalistic decision-making.
The main hypothesis is that distinct regions of the prefrontal cortex will be differentially involved in learning, motivation, and decision-making in naturalistic tasks. More specifically, the investigators hypothesise that by using a novel set of tasks they have designed in combination with fMRI, they can construct a neurocognitive model that explains how humans make adaptive decisions in dynamic and temporally extended reward environments.
Read more
A key region that the investigators believe will play a role in representing the internal and external parameters necessary for adaptive behaviours in the tasks is the anterior cingulate cortex. Depending on the task requirements, this region will further interact with other distinct prefrontal regions such as the frontal pole or dorsolateral prefrontal cortex.
Secondary hypotheses will also be investigated, specific to each specific task.
All data will be collected during a single visit lasting approximately 3.5 hours for each participant. Participants will perform a cognitive task inside the MRI scanner. Each participant will perform only one of the three possible cognitive conditions/tasks (Treasure Hunt, Fastest Queue, or Farm Game).
Each task is presented in the form of a video game played on a computer. Participants play a character who makes repeated choices. Participants are asked to try to collect as many points as possible within a limited time frame (Farm Game) or with limited trials (Fastest Queue and Treasure Hunt).
Read the detailed description
Being able to make adaptive decisions and follow through on them is crucial for animals and humans alike. Although some simplifications of real-world environments are necessary for laboratories, previous studies have often removed an essential element of complexity: behaviour is often a sequence of choices, requiring planning, goal pursuit, and sustained motivation to achieve those goals. A comprehensive understanding of the brain functions at work and their cognitive, computational, and neural roles in these particular extended behaviours can only be achieved by examining the cognition and behaviour integrated into these extended temporal sequences.
In recent years, the investigators have addressed this challenge by developing a new neuroethological approach, made possible by advances in computational modelling, experimental design, brain recording and stimulation techniques. In this proposal, they have identified key cognitive processes related to the challenge of sequential and self-determined behaviours, behaviours enabled by the evolution of the prefrontal cortex, which underpins them through interactions with subcortical structures and associative cortical areas. To make this complexity manageable, they draw inspiration from several disciplines, including ecology, biology, psychology, and neuroscience. In this way, the investigators can identify the essential elements that enable complex adaptive behaviour in response to real-life challenges and build behavioural models around these processes.
For example, using this framework, our team challenged the notion that risk-taking propensity is a fixed characteristic in individuals. Instead, the investigators discovered that humans can flexibly modify the level of risk they are willing to take depending on the environment, particularly when searching for resources - in the same way that a bird close to starvation would take greater risks when searching for food.
An equally overlooked element of real-life decision-making is the interaction between emotions and decision-making, particularly during prolonged learning and decision-making over time, despite its potential relevance for understanding state-dependent decision-making, individual differences, and clinical disorders .
The current project aims to address three specific aspects of resource search. First, ecological environments often require advance planning, taking into account not only future opportunities present in the environment, but also behavioural tendencies and biases specific to the individual (e.g., the ability to exploit these future opportunities) in order to pursue long-term goals.
Second, in these situations, it is important to use any knowledge of the direction in which an environment is changing to plan ahead and use specific evaluation mechanisms to assess the gradual pursuit and abandonment of goals. Thirdly, at the same time, as these environments require consideration of a longer-term commitment, it is essential to understand how fluctuations in motivation can help or hinder these processes.
All data will be collected during a single visit for each participant. For each of the three tasks, the procedure will be the same; only the cognitive task performed will differ.
Part 1 of the visit = Setup, explanation of the study, verification of inclusion and non-inclusion criteria, and signing of consent.
Then, participants will practice the cognitive task. Part 2 of the visit : MRI session (cognitive task + structural MRI + functional MRI + physiological measurements).
- Conditions
- Neurocognitive Model, Decision-Making
- Keywords
- Cognitive neurosciences, decision making, reward, cognitive psychology, fMRI
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Farming game | motivational fluctuation task: participants can gain points by engaging in some activities in the environment or just staying in one place. Throughout the experiment the level of reward for each patch will change to measure participants' sensitivity to different reward levels. | |
| Fastest Queue | prospective planning and learning task: participants observe two queues moving at different speeds shown to them in the middle of the screen. They need to decide which of two queues to stand in, and are asked about their beliefs about how fast individual queue members might get to the goal. | |
| Treasure hunt | sequential and incremental goal pursuit task: Participants need to decide between multiple goals to pursue framed as treasures in order to gain points. The treasures can be worth different amounts and the participant will be travelling to them at different speeds. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Functional brain activity
Brain activity will be indirectly measured using the BOLD (blood-oxygen-level dependent) signal to test the neural correlates of our key task variables extracted using our cognitive models to infer potential neural mechanisms in our neurocognitive model.
Measured: baseline
Secondary outcomes (3)
Decisions on the Farming game
The cognitive model of goal pursuit will be used to construct regressors that represent the different motivations for goal abandonment (specifically frustration, temptation, and avoidance). Significant correlations between these model regressors voxel-by-voxel will be tested in a mass univariate manner.
Measured: baseline
Decisions on the Fastest Queue task
The cognitive model of reward tendencies will be used to construct regressors that represent the use of reward tendency information. The significant correlations between these model regressors will be tested voxel-by-voxel in a mass univariate manner.
Measured: Baseline
Decisions on the Treasure Hunt Game
The cognitive model of motivation and vigor will be used to construct regressors that represent the participant's emotional and motivational state. Significant correlations between these model regressors will be tested voxel by voxel in a mass univariate manner.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Jan 2026
- Study startJan 2026 (estimated)
- Primary completionJan 2029 (estimated)
- Study completionJan 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Neurocognitive ModelStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 120 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Hôpital le Vinatier
- Sponsor type
- University, hospital or other
- Collaborators
- INSERM U1208
- Responsible party
- Sponsor
- Investigators
- Nils Kolling, PhD, Principal investigator, INSERM U1208, Ecological Cognition and Computation Team
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07314112
- Sponsor's protocol ID
- 2024-A02725-42
- Other IDs
- VP2024-09
- Acronym
- MOTILEARN
- Status last verified
- Jan 2026
- First submitted
- 17 Dec 2025
- Last updated
- 7 Jan 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 7 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Motivation, Learning and Decision Making in Changing Environments
- ClinicalTrials.gov ID
- NCT07314112
- Acronym / sponsor ID
- MOTILEARN / 2024-A02725-42
- Conditions
- Neurocognitive Model, Decision-Making
- Keywords
- Cognitive neurosciences, decision making, reward, cognitive psychology, fMRI
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 120 participants (estimated)
- Lead sponsor
- Hôpital le VinatierUniversity, hospital or other
- Collaborators
- INSERM U1208
- Study start
- Jan 2026 (estimated)
- Primary completion
- Jan 2029 (estimated)
- Study completion
- Jan 2029 (estimated)
- First posted
- 2 Jan 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The main objective of this study is to develop a models of sequential decision-making, learning and motivation that includes emotions as driving forces of adaptive behaviour. Using functional magnetic resonance imaging (fMRI), the investigators will test the hypotheses that distinct parts of the prefrontal cortex play specific roles in naturalistic decision-making.
The main hypothesis is that distinct regions of the prefrontal cortex will be differentially involved in learning, motivation, and decision-making in naturalistic tasks. More specifically, the investigators hypothesise that by using a novel set of tasks they have designed in combination with fMRI, they can construct a neurocognitive model that explains how humans make adaptive decisions in dynamic and temporally extended reward environments.
A key region that the investigators believe will play a role in representing the internal and external parameters necessary for adaptive behaviours in the tasks is the anterior cingulate cortex. Depending on the task requirements, this region will further interact with other distinct prefrontal regions such as the frontal pole or dorsolateral prefrontal cortex.
Secondary hypotheses will also be investigated, specific to each specific task.
All data will be collected during a single visit lasting approximately 3.5 hours for each participant. Participants will perform a cognitive task inside the MRI scanner. Each participant will perform only one of the three possible cognitive conditions/tasks (Treasure Hunt, Fastest Queue, or Farm Game).
Each task is presented in the form of a video game played on a computer. Participants play a character who makes repeated choices. Participants are asked to try to collect as many points as possible within a limited time frame (Farm Game) or with limited trials (Fastest Queue and Treasure Hunt).
Detailed description
Being able to make adaptive decisions and follow through on them is crucial for animals and humans alike. Although some simplifications of real-world environments are necessary for laboratories, previous studies have often removed an essential element of complexity: behaviour is often a sequence of choices, requiring planning, goal pursuit, and sustained motivation to achieve those goals. A comprehensive understanding of the brain functions at work and their cognitive, computational, and neural roles in these particular extended behaviours can only be achieved by examining the cognition and behaviour integrated into these extended temporal sequences.
In recent years, the investigators have addressed this challenge by developing a new neuroethological approach, made possible by advances in computational modelling, experimental design, brain recording and stimulation techniques. In this proposal, they have identified key cognitive processes related to the challenge of sequential and self-determined behaviours, behaviours enabled by the evolution of the prefrontal cortex, which underpins them through interactions with subcortical structures and associative cortical areas. To make this complexity manageable, they draw inspiration from several disciplines, including ecology, biology, psychology, and neuroscience. In this way, the investigators can identify the essential elements that enable complex adaptive behaviour in response to real-life challenges and build behavioural models around these processes.
For example, using this framework, our team challenged the notion that risk-taking propensity is a fixed characteristic in individuals. Instead, the investigators discovered that humans can flexibly modify the level of risk they are willing to take depending on the environment, particularly when searching for resources - in the same way that a bird close to starvation would take greater risks when searching for food.
An equally overlooked element of real-life decision-making is the interaction between emotions and decision-making, particularly during prolonged learning and decision-making over time, despite its potential relevance for understanding state-dependent decision-making, individual differences, and clinical disorders .
The current project aims to address three specific aspects of resource search. First, ecological environments often require advance planning, taking into account not only future opportunities present in the environment, but also behavioural tendencies and biases specific to the individual (e.g., the ability to exploit these future opportunities) in order to pursue long-term goals.
Second, in these situations, it is important to use any knowledge of the direction in which an environment is changing to plan ahead and use specific evaluation mechanisms to assess the gradual pursuit and abandonment of goals. Thirdly, at the same time, as these environments require consideration of a longer-term commitment, it is essential to understand how fluctuations in motivation can help or hinder these processes.
All data will be collected during a single visit for each participant. For each of the three tasks, the procedure will be the same; only the cognitive task performed will differ.
Part 1 of the visit = Setup, explanation of the study, verification of inclusion and non-inclusion criteria, and signing of consent.
Then, participants will practice the cognitive task. Part 2 of the visit : MRI session (cognitive task + structural MRI + functional MRI + physiological measurements).
Study design
- Observational model
- Other
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Farming game | – | –motivational fluctuation task: participants can gain points by engaging in some activities in the environment or just staying in one place. Throughout the experiment the level of reward for each patch will change to measure participants' sensitivity to different reward levels. |
| Fastest Queue | – | –prospective planning and learning task: participants observe two queues moving at different speeds shown to them in the middle of the screen. They need to decide which of two queues to stand in, and are asked about their beliefs about how fast individual queue members might get to the goal. |
| Treasure hunt | – | –sequential and incremental goal pursuit task: Participants need to decide between multiple goals to pursue framed as treasures in order to gain points. The treasures can be worth different amounts and the participant will be travelling to them at different speeds. |
Who may qualify
- Ages
- 18 to 45 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- Healthy volunteers
Key inclusion criteria (15 listed)
- Age between 18 and 45
- Fluent in French (reading and speaking)
- Membership or entitlement to a social security plan
- Have given written, informed consent to take part in the study
- Normal or corrected-to-normal vision
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Functional brain activity
Time frame: baseline
Brain activity will be indirectly measured using the BOLD (blood-oxygen-level dependent) signal to test the neural correlates of our key task variables extracted using our cognitive models to infer potential neural mechanisms in our neurocognitive model.
3 secondary outcomes
Decisions on the Farming game
Time frame: baseline
Decisions on the Fastest Queue task
Time frame: Baseline
Decisions on the Treasure Hunt Game
Time frame: Baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Jan 2026.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Nils Kolling, PhD principal investigator
INSERM U1208, Ecological Cognition and Computation Team
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Neurocognitive Model and Decision-Making, run by Hôpital le Vinatier at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 15 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 7 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Nils Kolling, PhD (+33 04 72 91 34 95, nils.kolling@inserm.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Functional brain activity (time frame: baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Jan 2026.