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Electrophysiological Signatures of Distinct Working Memory Subprocesses That Predict Long-term Memory Success — WMLTM  

Memory Clinical Trial

Official title:
Electrophysiological Signatures of Distinct Working Memory Subprocesses That Predict Long-term Memory Success

Clinical Trial Summary

Healthy young adults will view pictures of items while the investigators record electroencephalogram (EEG) brain activity. Then, the investigators will ask the participants to report which items the participants remember seeing. The investigators will examine how the measured brain activity relates to which pictures the participants remember.

Clinical Trial Description

Electrophysiological signatures track distinct subprocesses of working memory, including the number of items and the spatial locations of those items. By identifying how these subprocesses predict long-term memory success in healthy young adults, this project should lead to an intricate understanding of the relationship between working memory and long-term memory. This study will investigate when and how long-term memory failures arise, by using sophisticated machine learning analyses of neural data. Moreover, this study will test the extent to which the investigators can track working memory processes in real time and how the investigators can leverage that information to improve long-term memory success. This will inform basic theories of the relationship between working memory and long-term memory and motivate future applications. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05892419
Study type Observational
Source University of Chicago
Contact
Status Enrolling by invitation
Phase
Start date July 1, 2022
Completion date July 31, 2026
View Details
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