Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry

We present a novel method using two-brain microstates, including open-source code, which expands the current hyperscanning-EEG methodology to measure and potentially identify both synchronous and asymmetric inter-brain states during real-time social interaction.

Authors

Institutions

Publication Details

Journal
Journal of Neuroscience Methods
Published
2025-01-22
DOI
https://doi.org/10.1016/j.jneumeth.2024.110355
Citations
4
Primary Topic
Hemispheric Asymmetry in Neuroscience
Type
article
Field-Weighted Citation Impact
5.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry

Qianliang Li, Marius Zimmermann, Ivana Konvalinka
4 citations
Journal of Neuroscience Methods
Hemispheric Asymmetry in Neuroscience
5.72
article

Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry

Qianliang Li, Marius Zimmermann, Ivana Konvalinka
article en
4 citations

Abstract

We present a novel method using two-brain microstates, including open-source code, which expands the current hyperscanning-EEG methodology to measure and potentially identify both synchronous and asymmetric inter-brain states during real-time social interaction.

Journal of Neuroscience MethodsVol. 416
University of Regensburg (DE), Technical University of Denmark (DK)
Villum Fonden
Openalex Percentile: Top 5%
Hemispheric Asymmetry in Neuroscience
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.