Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Genetic control of dynamic brain network reconfiguration during working memory.

PloS one·2026

Same author

Neuron-type-specific Contributions to Dynamic Coding during Flexible Sensorimotor Decisions in Frontoparietal Cortex.

Journal of cognitive neuroscience·2025

Same author

Advancing Spike Sorting Through Gradient-Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering.

Brain and behavior·2025

Same author

Distinct neural patterns for various information in working memory: A brain connectivity study.

PloS one·2025

Same author

Unraveling the roles of spatial working memory sustained and selective neurons in prefrontal cortex.

Communications biology·2025

Same author

Functional role of cell classes in monkey prefrontal cortex after learning a working memory task.

Communications biology·2025

Same journal

Korean Red Ginseng Attenuates Dysfunctions and Modulates Inflammatory and Neuroplasticity Markers in the Harmaline-Induced Model of Essential Tremor.

Brain and behavior·2026

Same journal

Pseudohallucination and Pilocytic Astrocytoma in the Pons.

Brain and behavior·2026

Same journal

Volume Alterations in Thalamic Subnuclei in Parkinson's Disease Dementia and Machine Learning-Based Prediction of Diagnosis and Severity.

Brain and behavior·2026

Same journal

ESTELA-Study: Long-Term Effectiveness and Safety of Anti-Calcitonin Gene-Related Peptide Monoclonal Antibodies in Real-World Clinical Practice.

Brain and behavior·2026

Same journal

The "Brain's Traffic Map" Reveals Neural Pathways Linked to Coronary Microvascular Dysfunction in Women.

Brain and behavior·2026

Same journal

Psychedelic Therapy and the Role of Music: A Scoping Review of Quantitative Evidence on Subjective and Objective Outcomes.

Brain and behavior·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 10, 2025

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

Published on: July 29, 2025

Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance.

Hamideh Norouzi¹, Mohammad Reza Daliri¹

¹Neuroscience and Neuroengineering Research Lab., Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Tehran, Iran.

Brain and Behavior

|August 23, 2025

Summary

This summary is machine-generated.

Brain microstate dynamics, especially microstate D, are crucial for spatial working memory (WM). Specific transitions in microstate D predict saccade errors, offering insights into WM performance and spatial coding.

Keywords:

EEG microstate behavioral performance cognitive function memory‐guided saccade working memory

More Related Videos

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Related Experiment Videos

Last Updated: Sep 10, 2025

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze

Published on: July 29, 2025

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Area of Science:

Neuroscience
Cognitive Science
Brain Dynamics

Background:

Electroencephalography (EEG) microstate analysis reveals brain activity patterns during cognitive tasks.
Canonical microstates (A, B, C, D) are linked to cognitive functions, but their relation to working memory (WM) performance needs further investigation.
This study explores EEG microstate dynamics during a memory-guided saccade (MGS) task to understand their link with WM.

Purpose of the Study:

To investigate the relationship between EEG microstate parameters and working memory performance during a memory-guided saccade task.
To determine how microstate dynamics, particularly microstate D, contribute to spatial coding and behavioral accuracy in WM.
To identify neural signatures of WM performance using microstate transitions.

Main Methods:

EEG and eye-tracking data were collected from participants performing an MGS task with near and far target eccentricities.
Saccade error served as the behavioral measure of WM performance.
Microstate parameters (occurrence, coverage, duration, transition probability) were calculated for canonical microstates.

Main Results:

Microstate C coverage decreased during memory maintenance, while microstate D duration increased.
Transition probability from microstate D+ to D- correlated with saccade errors, predicting WM performance.
Distinct microstate D transition patterns were observed between near and far target conditions, indicating a role in spatial coding.

Conclusions:

EEG microstate dynamics, especially microstate D, play a significant role in spatial working memory, supporting information coding and predicting performance.
Polarity-specific transitions within microstate D serve as a neural signature for WM accuracy.
Findings enhance understanding of network-level mechanisms in spatial memory and saccade control.