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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 22, 2026

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

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

Published on: September 20, 2020

Longitudinal data on cortical thickness before and after working memory training.

Claudia Metzler-Baddeley¹, Karen Caeyenberghs², Sonya Foley¹

¹Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, and Neuroscience and Mental Health Research Institute (NMHRI), Cardiff University, Cardiff CF10 3AT, UK.

|April 27, 2016

Summary

This summary is machine-generated.

Working memory training altered brain structure, specifically cortical thickness in executive and salience networks. These changes correlated with cognitive performance improvements after Cogmed training.

Keywords:

Cortical thickness Subcortical volume Supplementary information Working memory training

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Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Working memory training aims to enhance cognitive functions.
Previous research suggests structural brain changes may underlie cognitive improvements.
Understanding the neural correlates of working memory training is crucial.

Purpose of the Study:

To provide detailed data on cortical thickness and subcortical volume changes after working memory training.
To investigate the relationship between structural brain changes and cognitive performance improvements.

Main Methods:

Utilized FreeSurfer longitudinal analyses to process MRI data before and after Cogmed working memory training.
Performed within-group comparisons of cortical thickness and subcortical volumes.
Analyzed cognitive performance changes in benchmark tests and their correlation with structural changes.

Main Results:

Cortical thickness and subcortical volume data were analyzed in parieto-frontal regions and basal ganglia.
Correlations were examined between cognitive performance changes, training duration, and structural alterations.
Control analyses assessed potential scanner drift effects.

Conclusions:

Working memory training is associated with measurable structural changes in specific brain networks.
These structural changes may be linked to improvements in cognitive functions.
The provided data supports further investigation into the neuroplasticity induced by working memory training.