Learning Novel Structure Across Time and Sleep
| Registry | NCT05910762 |
|---|---|
| Status | Completed |
| Phase | Not applicable |
| Study type | Interventional; randomized, parallel, masking: single, basic science |
| Enrollment | 119 (Actual) |
| Sponsor | University of Pennsylvania (Other); collaborators: National Institute of Mental Health (NIMH) |
| Conditions | Learning, Humans, Consolidation, Sleep |
| Interventions | Associative inference, Category learning, Sleep (Behavioral) |
| Dates | start 2023-06-05, primary completion 2026-07-31, completion 2026-07-31, first posted 2023-06-20, last updated 2026-08-20 |
| Locations | 1 site in United States |
Related Papers Related Patents Related Grants Related Experts
AI Assistant Save
All trials for Learning All trials for Humans All trials of Associative inference All trials of Category learning
Acting adaptively requires quickly picking up on structure in the environment and storing the acquired knowledge for effective future use. Dominant theories of the hippocampus have focused on its ability to encode individual snapshots of experience, but the investigators and others have found evidence that it is also crucial for finding structure across experiences. The mechanisms of this essential form of learning have not been established. The investigators have developed a neural network model of the hippocampus instantiating the theory that one of its subfields can quickly encode structure using distributed representations, a powerful form of representation in which populations of neurons become responsive to multiple related features of the environment.
The first aim of this project is to test predictions of this model using high resolution functional magnetic resonance imaging (fMRI) in paradigms requiring integration of information across experiences. The results will clarify fundamental mechanisms of how humans learn novel structure, adjudicating between existing models of this process, and informing further model development. There are also competing theories as to the eventual fate of new hippocampal representations. One view posits that during sleep, the hippocampus replays recent information to build longer-term distributed representations in neocortex. Another view claims that memories are directly and independently formed and consolidated within the hippocampus and neocortex.
The second aim of this project is to test between these theories. The investigators will assess changes in hippocampal and cortical representations over time by re-scanning participants and tracking changes in memory at a one-week delay. Any observed changes in the brain and behavior across time, however, may be due to generic effects of time or to active processing during sleep.
The third aim is thus to assess the specific causal contributions of sleep to the consolidation of structured information. The investigators will use real-time sleep electroencephalography to play sound cues to bias memory reactivation. The investigators expect that this work will clarify the anatomical substrates and, critically, the nature of the representations that support encoding and consolidation of novel structure in the environment.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Learning and consolidation in Associative Inference | Experimental | Behavioral: Associative inference | The proposed functional magnetic resonance imaging study assesses the neural representations contributing to humans' ability to associate objects in the support of simple inferences and generalization. All participants will undergo the same procedure. Participants will learn about pairs of objects and then be asked to make judgments and inferences about the relationships between the objects. The order of presentation of the objects will be manipulated within subjects, as different learning theories make different predictions about how learning will unfold under different orderings. Participants will be brought back one week later for a second scan, to evaluate how the neural substrates of these processes change with consolidation. |
| Learning and consolidation in category learning | Experimental | Behavioral: Category learning | The proposed functional magnetic resonance imaging study assesses the neural representations contributing to humans' ability to learn new categories of objects. All participants will undergo the same procedure. Participants will learn about novel objects, each with several colored parts. Some parts are unique to individual objects and others are shared among the members of the category. The investigators will assess how different regions of the brain contribute to learning and remembering these different kinds of parts, and how the resulting representations support category understanding. Participants will be brought back one week later for a second scan, to evaluate how the neural substrates of these processes change with consolidation. |
| Manipulating replay during sleep using real-time EEG | Experimental | Behavioral: Category learning; Behavioral: Sleep | In the proposed electroencephalography (EEG) study, all participants will undergo the same procedure. Participants will learn the visual features and spoken names associated with three categories of novel objects. Participants' memory for these objects and the objects' parts will be tested before and after a nap. The investigators will monitor brain activity during the nap in real time and, at optimal moments, quietly play the spoken names of the objects to encourage reactivation of particular objects in particular orders. The investigators will assess how this manipulation impacts memory for these objects. |
Sex: All, ages: 18 Years to 35 Years, accepts healthy volunteers
Inclusion Criteria: * Between 18 and 35 years of age (all aims) * Not a member of a vulnerable population (all aims) * Normal or corrected-to-normal vision (all aims) * Normal hearing (all aims) * Able to speak English fluently (all aims) * No prior history of major psychiatric or neurological disorders (Aims 1 and 2; MRI-specific) * Not currently taking any antidepressants or sedatives (Aims 1 and 2; MRI-specific) * No known neurological disorders (Aim 3; EEG-specific) Exclusion Criteria: * The investigators will exclude individuals with MR contraindications such as non-removable biomedical devices or metal in or on the body (Aims 1 and 2; MRI-specific) * Claustrophobia (Aims 1 and 2; MRI-specific) * Pregnant women will also be excluded from neuroimaging, as the effects of MR on pregnancy are not fully understood (Aims 1 and 2; MRI-specific)
| Facility | City | Country | Status |
|---|---|---|---|
| University of Pennsylvania | Philadelphia, Pennsylvania | United States |
NIH grants: R01MH129436