Understanding Brain Activity During Multi-Step Planning
This study aims to understand how your brain plans ahead, specifically when you need to think multiple steps into the future. Researchers are using a game similar to Connect Four, called "Four-in-a-Row," to observe your brain activity. You would participate in two sessions: an online training and gameplay session, and an in-person session at New York University where your brain activity will be measured using MEG (magnetoencephalography) or fMRI (functional magnetic resonance imaging). The study is looking for healthy adults between 18 and 64 years old who do not have a history of neurological or psychiatric illness. The main goals are to see how well a computer model can predict your game moves and to measure your brain activity during planning. The current recruitment status is unclear.
- Study design
- This is an interventional study with a planned enrollment of 50 participants. It is designed to characterize the brain activity during multi-step planning.
- What's involved
- You would complete two sessions on successive days: a 60-minute online session and an in-person brain-recording session. The in-person session involves evaluating game positions while brain activity is recorded.
- Compensation
- Not stated in the trial record.
- Follow-up
- Brain activity and move predictions will be measured at 1 hour during the in-person session.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Identifying the Neural Correlates of Mental Simulation in Multi-Step Planning
At a glance
Conditions
Where it's being run
1 sites across 1 statesWho to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Percent of moves correctly predicted by the behavioral model1 hour
Participant choices in the Four-in-a-Row task are used to fit a computational behavioral model. After fitting, the model predicts an action for each state; we quantify the percent of participant moves matched by the model's predicted move.
- MEG activity1 hour
Task-evoked MEG activity during different stages of the task, specifically deliberation about upcoming decisions.