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Related Experiment Video

Updated: Feb 5, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

The Dynamic EEG Microstates in Mental Rotation.

Wanzeng Kong^1,2, Luyun Wang³, Jianhai Zhang⁴

¹School of Computer and Technology, Hangzhou Dianzi University, Hangzhou 310000, China. kongwanzeng@hdu.edu.cn.

Sensors (Basel, Switzerland)

|September 5, 2018

Summary

This summary is machine-generated.

This study introduces a novel microstate analysis for electroencephalography (EEG) during mental rotation tasks. It reveals specific spatial-temporal brain patterns, including right-sided activation and an "angle effect" on microstate duration.

Keywords:

cognitive process dynamic EEG event-related potential mental rotation microstate spatial-temporal

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Area of Science:

Neuroscience
Cognitive Psychology
Brain Imaging

Background:

Traditional event-related potential (ERP) analysis of mental rotation often overlooks comprehensive spatial-temporal brain dynamics.
Understanding the full brain pattern is crucial for deciphering the cognitive mechanisms underlying mental rotation.

Purpose of the Study:

To propose and validate a microstate-based approach for analyzing mental rotation from electroencephalography (EEG) spatial-temporal patterns.
To investigate the dynamics of brain activity during mental rotation using microstate analysis.

Main Methods:

Collected EEG data from 11 healthy subjects performing a mental rotation task with varied hand stimuli and angles.
Applied microstate analysis to ERPs derived from EEG data to identify distinct microstate modes (A, B, C, D).
Characterized microstate dynamics using measures like sequences, topographical maps, hemispheric lateralization, and duration.

Main Results:

Identified a consistent microstate sequence pattern: A → B → A during mental rotation.
Observed stronger activation in the right parietal-occipital region compared to the left during microstate mode A, indicating hemispheric lateralization.
Found that the duration of the second microstate A was shorter for vertical stimuli, termed the "angle effect".

Conclusions:

Microstate analysis offers a valuable method for exploring the spatial-temporal dynamics of cognitive processes like mental rotation.
The findings suggest specific neural pathways and temporal dynamics involved in mental rotation, including right-hemisphere dominance and sensitivity to stimulus orientation.