EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies

Brain Topography, Journal Year: 2023, Volume and Issue: 37(2), P. 218 - 231

Published: July 29, 2023

Over the last decade, EEG resting-state microstate analysis has evolved from a niche existence to widely used and well-accepted methodology. The rapidly increasing body of empirical findings started yield overarching patterns associations biological psychological states traits with specific classes. However, currently, this cross-referencing among apparently similar classes different studies is typically done by "eyeballing" printed template maps individual authors, lacking systematic procedure. To improve reliability validity future findings, we present tool systematically collect actual data as many published possible them in their entirety matrix spatial similarity. also allows importing novel extracting associated ongoing or studies. literature. 40 included sets indicated that: (i) there high degree similarity across studies, (ii) were converging (iii) representative meta-microstates can be extracted We hope that will useful coming more comprehensive, objective, representation findings.

Language: Английский

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MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis

Brain Topography, Journal Year: 2023, Volume and Issue: 37(4), P. 621 - 645

Published: Sept. 11, 2023

Abstract Microstate analysis is a multivariate method that enables investigations of the temporal dynamics large-scale neural networks in EEG recordings human brain activity. To meet enormously increasing interest this approach, we provide thoroughly updated version first open source EEGLAB toolbox for standardized identification, visualization, and quantification microstates resting-state data. The allows scientists to (i) identify individual, mean, grand mean microstate maps using topographical clustering approaches, (ii) check data quality detect outlier maps, (iii) visualize, sort, label according published (iv) compare similarities group quantify shared variances, (v) obtain classes individual EEGs, (vi) export quantifications these statistical tests, finally, (vii) test differences between groups conditions topographic variance (TANOVA). Here, introduce step-by-step tutorial, sample dataset 34 are publicly available follow along with tutorial. goals manuscript (a) standardized, freely scientific community, (b) allow researchers use best practices by following (c) improve methodological standards research providing previously unavailable functions recommendations on critical decisions required analyses.

Language: Английский

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Current State of EEG/ERP Microstate Research

Brain Topography, Journal Year: 2024, Volume and Issue: 37(2), P. 169 - 180

Published: Feb. 13, 2024

The analysis of EEG microstates for investigating rapid whole-brain network dynamics during rest and tasks has become a standard practice in the research community, leading to substantial increase publications across various affective, cognitive, social clinical neuroscience domains. Recognizing growing significance this analytical method, authors aim provide microstate community with comprehensive discussion on methodological standards, unresolved questions, functional relevance microstates. In August 2022, conference was hosted Bern, Switzerland, which brought together many researchers from 19 countries. During conference, gave scientific presentations engaged roundtable discussions aiming at establishing steps toward standardizing methods. Encouraged by conference's success, special issue launched Brain Topography compile current state-of-the-art research, encompassing advancements, experimental findings, applications. call submissions garnered 48 contributions worldwide, spanning reviews, meta-analyses, tutorials, studies. Following rigorous peer-review process, 33 papers were accepted whose findings we will comprehensively discuss Editorial.

Language: Английский

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

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: 416, P. 110355 - 110355

Published: Jan. 22, 2025

The neural mechanisms underlying real-time social interaction remain poorly understood. While hyperscanning has emerged as a popular method to better understand inter-brain mechanisms, methods underdeveloped, and primarily focused on synchronization (IBS). We developed novel approach employing two-brain EEG microstates, investigate during symmetric asymmetric interactive tasks. Microstates are quasi-stable configurations of brain activity that have been proposed represent basic building blocks for mental processing. Expanding the microstate methodology dyads interacting participants enables us moments synchronous activity. Conventional microstates fitted individuals were not related different conditions. However, modulated in observer-actor condition, compared all other conditions where had more task demands, same trend was observed follower-leader condition. This indicates differences resting state default-mode network interactions with Hyperscanning studies estimated IBS based functional connectivity measures. localized connections often hard interpret larger scale when multiple across brains found be important. Two-brain offer an alternative evaluate from large-scale global perspective, by quantifying task-driven states between individuals. present using including open-source code, which expands current hyperscanning-EEG measure potentially identify both interaction.

Language: Английский

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Normative Temporal Dynamics of Resting EEG Microstates

Brain Topography, Journal Year: 2023, Volume and Issue: 37(2), P. 243 - 264

Published: Sept. 13, 2023

Language: Английский

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EEG Microstates in the Study of Attention‐Deficit Hyperactivity Disorder: A Review of Preliminary Evidence

Psychophysiology, Journal Year: 2025, Volume and Issue: 62(1)

Published: Jan. 1, 2025

ABSTRACT Attention‐deficit hyperactivity disorder (ADHD) is a neurobiological condition that affects both children and adults. Microstate (MS) analyses, data‐driven approach identifies stable patterns in EEG signals, offer valuable insights into the neurophysiological characteristics of ADHD. This review summarizes findings from 13 studies applied MS analyses to resting‐state task‐based brain activity individuals with Relevant research articles were retrieved electronic databases, including PubMed, Google Scholar, Web Science, PsychInfo, Scopus. The reviewed explore differences ADHD populations. Resting‐state consistently reported alterations organization, increased duration (MS‐D) changes temporal dynamics (MS‐C), potentially reflecting executive dysfunctions delayed maturation default mode network. Additionally, B demonstrated promise distinguishing between subtypes based on visual network function. Task‐based event‐related potential (ERP) studies, using paradigms like continuous performance task (CPT) or Go–NoGo Task, identified abnormalities (i.e., N2, P2, P3, CNV) linked inhibition attentional resource allocation. Preliminary evidence suggests hold for control groups. integration machine learning techniques holds improving diagnostic accuracy identifying subtypes, while may also help monitor effects stimulant medications methylphenidate by tracking changes. However, this highlights need more standardized methodologies enhance generalizability replicability findings. These efforts will ultimately contribute deeper understanding mechanisms underlie

Language: Английский

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Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach

Brain Topography, Journal Year: 2025, Volume and Issue: 38(2)

Published: Jan. 22, 2025

Language: Английский

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EEG Microstate Syntax Analysis: A Review of Methodological Challenges and Advances

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121090 - 121090

Published: Feb. 1, 2025

Electroencephalography (EEG) microstates are "quasi-stable" periods of electrical potential distribution in multichannel EEG derived from peaks Global Field Power. Transitions between form a temporal sequence that may reflect underlying neural dynamics. Mounting evidence indicates microstate sequences have long-range, non-Markovian dependencies, suggesting complex process drives syntax (i.e., the transitional dynamics microstates). Despite growing interest syntax, field remains fragmented, with inconsistent terminologies used studies and lack defined methodological categories. To advance understanding functional significance to facilitate comparability finding replicability across studies, we: i) derive categories analysis methods, reviewing how each be utilised most readily; ii) define three "time-modes" for construction; iii) outline general issues concerning current models using these methods cross-referenced against continuous EEG. We advocate approaches as they do not assume winner-takes-all model inherent derivation contextualise relationship data. They also allow development more robust associative Magnetic Resonance Imaging

Language: Английский

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EEG microstates during resting-state and dissociative events in patients with psychogenic non-epileptic seizures

Clinical Neurophysiology, Journal Year: 2025, Volume and Issue: 173, P. 124 - 131

Published: March 9, 2025

Language: Английский

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The effect of diet on the development of EEG microstates in healthy infant throughout the first year of life

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121152 - 121152

Published: March 1, 2025

Language: Английский

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