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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: Mar 17, 2026

Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion

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Delayed match-to-sample in working memory: A BrainMap meta-analysis.

Thomas A Daniel¹, Jeffrey S Katz², Jennifer L Robinson²

¹Department of Psychology, Auburn University, Auburn, AL, USA.

Biological Psychology

|August 3, 2016

Summary

This summary is machine-generated.

This study reveals key brain regions for working memory (WM) using the delayed match-to-sample task. It highlights differences in neural engagement based on verbal versus nonverbal stimuli, advancing our understanding of WM networks.

Keywords:

ALE Activation likelihood estimation Functional neuroimaging Neural networks fMRI

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Last Updated: Mar 17, 2026

Brain Imaging Investigation of the Memory-Enhancing Effect of Emotion

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Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

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Published on: September 20, 2020

Area of Science:

Cognitive Neuroscience
Neuroimaging

Background:

Working memory (WM) is crucial for cognitive function, enabling temporary information storage and manipulation.
The delayed match-to-sample (DMTS) task is a widely used paradigm to investigate WM.
Understanding the neural underpinnings of WM is essential for cognitive psychology.

Purpose of the Study:

To identify consistent neural networks engaged during the DMTS task using meta-analysis.
To investigate potential discrepancies in WM-related brain regions.
To explore neurofunctional differences between verbal and nonverbal DMTS tasks.

Main Methods:

Activation Likelihood Estimation (ALE) meta-analysis.
Synthesized data from 42 functional neuroimaging studies.
Included 626 participants.

Main Results:

Strong convergence of neural activation in dorsolateral prefrontal cortex, fusiform gyrus, and posterior parietal cortex during DMTS.
Absence of consistent activation in anterior cingulate and rostral prefrontal cortex.
Nonverbal DMTS tasks showed greater engagement of the right middle frontal gyrus and precuneus compared to verbal DMTS tasks.

Conclusions:

The findings delineate core neural networks for WM, specifically within the DMTS paradigm.
Identified brain regions may be differentially sensitive to task or stimulus characteristics.
Results provide a basis for future research into WM functional connectivity and its alterations in pathological conditions.