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Working Memory

Working Memory

Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...

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Related Experiment Video

Updated: Jun 3, 2025

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Identifying causal neural oscillations underlying working memory.

Mina Mirjalili^1,2, Reza Zomorrodi^1,3, Zafiris J Daskalakis⁴

¹Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada.

Cerebral Cortex (New York, N.Y. : 1991)

|January 6, 2025

Summary

This summary is machine-generated.

Personalized causal modeling revealed key brain oscillations for working memory. High performers showed more causal gamma oscillations, particularly in the right temporal cortex, suggesting targeted entrainment could enhance memory.

Keywords:

electroencephalography (EEG)gamma oscillations graphical causal modeling working memory

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Last Updated: Jun 3, 2025

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

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Published on: July 31, 2019

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Published on: June 29, 2018

Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice

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Published on: July 1, 2018

Area of Science:

Neuroscience
Cognitive Science

Background:

Electroencephalography (EEG) is crucial for studying working memory.
Understanding causal links between brain activity and working memory is key.

Purpose of the Study:

To apply personalized causal modeling to EEG data.
To identify causal neural oscillations linked to working memory performance.
To compare causal features between high and low working memory performers.

Main Methods:

Utilized graphical causal modeling on EEG data from 66 participants.
Analyzed data from a 3-back working memory task.
Compared causal features between high and low performing groups.

Main Results:

Identified causal neural oscillations related to working memory.
High performers had more causal features than low performers.
Right temporal gamma oscillation was a significantly more frequent causal feature in high performers.

Conclusions:

Causal gamma oscillations are important for working memory.
Right temporal gamma entrainment, not just power, may improve working memory.
Targeting local gamma entrainment could be a strategy for enhancing working memory.