EEG microstates in early-to-middle childhood show associations with age, biological sex, and alpha power

Review Clinical Neurology

The Functional Aspects of Resting EEG Microstates: A Systematic Review

Povilas Tarailis et al.

Summary: This article provides an overview of the functional role of electrical brain microstates, based on a systematic review of existing literature.

BRAIN TOPOGRAPHY (2023)

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Article Clinical Neurology

Introducing RELAX: An automated pre-processing pipeline for cleaning EEG data- Part 1: Algorithm and application to oscillations

N. W. Bailey et al.

Summary: This study aimed to provide a fully automated EEG cleaning pipeline to address non-neural artifacts and improve measurement of EEG outcomes. RELAX, a software developed in this study, used Multi-channel Wiener filtering and wavelet enhanced independent component analysis to clean the artifacts identified by ICLabel. The results showed that RELAX performed well in cleaning blink and muscle artifacts while preserving neural signal.

CLINICAL NEUROPHYSIOLOGY (2023)

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Article Clinical Neurology

RELAX part 2: A fully automated EEG data cleaning algorithm that is applicable to Event-Related-Potentials

N. W. Bailey et al.

Summary: This study tested the RELAX preprocessing pipeline for ERP data and found that RELAX, particularly when using Multi-channel Wiener Filtering and wavelet-enhanced independent component analysis with ICLabel, achieved high artifact cleaning performance and produced reliable ERP estimates.

CLINICAL NEUROPHYSIOLOGY (2023)

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Article Multidisciplinary Sciences

Transcranial stimulation of alpha oscillations up-regulates the default mode network

Kevin J. Clancy et al.

Summary: The default mode network (DMN) is a key structure of the brain's functional organization, and dysregulated DMN is a characteristic of neuropsychiatric disorders. This study manipulates neural synchrony, particularly alpha oscillations, and reveals a mechanistic link between alpha oscillations and DMN functioning. Transcranial alpha modulation can effectively enhance DMN connectivity and functionality.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

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Article Psychology, Developmental

Facial emotion processing and language during early-to-middle childhood development: An event related potential study

Felicity J. Bigelow et al.

Summary: Facial emotion processing is critical to social cognitive ability. Language is associated with specific neurophysiological indicators of FEP, but this is dependent on the facial expression.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2022)

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Article Psychology, Developmental

EEG microstates suggest atypical resting-state network activity in high-functioning children and adolescents with autism spectrum development

Yukari Takarae et al.

Summary: EEG microstates were used to investigate differences between children with Autism Spectrum Development (ASD) and typically developing (TD) participants. The study found that the frequency and global explained variance (GEV) of a specific microstate were lower in the ASD group, while the duration of the same microstate was correlated with ASD-related behaviors. In the TD group, the duration of this microstate was also correlated with participant age and overall alpha power. Another microstate showed higher signal strength and GEV in the ASD group, with different topographical patterns between groups.

DEVELOPMENTAL SCIENCE (2022)

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Article Neurosciences

Methodological considerations for studying neural oscillations

Thomas Donoghue et al.

Summary: Neural oscillations are prevalent and associated with cognitive tasks, offering an exciting opportunity to link theory, physiology, and mechanisms of cognition. However, careful consideration of the underlying assumptions of the methods used is necessary for proper interpretation of investigations into neural oscillations. Seven methodological considerations for analyzing neural oscillations are discussed, providing a helpful guide for measurement and interpretation.

EUROPEAN JOURNAL OF NEUROSCIENCE (2022)

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Article Neurosciences

Beyond broadband: Towards a spectral decomposition of electroencephalography microstates

Victor Ferat et al.

Summary: This study applied microstate (MS) analysis to decompose EEG signals in different frequency bands and found that the MS topographies and temporal sequences were independent between spectral bands, with significant differences in traditional MS measures. The use of frequency-specific MS features showed better prediction of behavioral states. These findings demonstrate the value and validity of spectrally specific MS analyses in neural mechanism research and biomarker discovery in clinical populations.

HUMAN BRAIN MAPPING (2022)

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Article Psychology, Developmental

Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood

Aron T. Hill et al.

Summary: The neurodevelopmental period in early-to-middle childhood is crucial for the growth and reorganization of the cortex, which impacts the emergence and maturation of social and cognitive processes. This study used electroencephalography to investigate the developmental changes in both oscillatory and non-oscillatory brain activity in children aged 4 to 12 years. The findings suggest that with increasing age, the non-oscillatory activity decreases while the peak frequency of the alpha band increases. However, there is no association between age and peak frequency in the beta band. The results emphasize the importance of both periodic and aperiodic features of the EEG in understanding age-related functional changes in the developing brain.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2022)

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Article Psychology, Developmental

Spectral parameterization for studying neurodevelopment: How and why

Brendan Ostlund et al.

Summary: This paper discusses the importance of the explicit parameterization of neural power spectra in cognitive neuroscience research, and introduces an automated spectral parameterization algorithm. The paper provides annotated code for power spectral parameterization and demonstrates its utility through an analysis of EEG data in children. Ultimately, the explicit parameterization of EEG power spectra helps refine our understanding of the impact of dynamic neural communication on cognition across the lifespan.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2022)

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Review Psychiatry

Resting state electroencephalography microstates in autism spectrum disorder: A mini-review

Sushmit Das et al.

Summary: Resting state electroencephalography (EEG) microstate analysis has revealed significant alterations in microstate parameters in individuals with Autism Spectrum Disorder (ASD) compared to typically developing populations. These parameters also change in relation to specific cognitive processes. However, different resting state EEG data acquisition (e.g., eyes closed or open) is likely to produce inconsistent results.

FRONTIERS IN PSYCHIATRY (2022)

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Article Psychology, Developmental

Spatiotemporal dynamics of EEG microstates in four-to eight-year-old children: Age- and sex-related effects

Armen Bagdasarov et al.

Summary: This study investigated the EEG microstates in a large sample of 103 children aged 4-8 years using high-density EEG. The results showed that these children already have similar classic microstates as adults. The study also demonstrated that the temporal dynamics of two microstates are associated with age and sex, and the topographies of these microstates are governed by attention- and cognitive control-related networks.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2022)

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Article Clinical Neurology

Microstates in multiple sclerosis: an electrophysiological signature of altered large-scale networks functioning?

Sara Baldini et al.

Summary: This study investigates the temporal dynamics of microstates in patients with multiple sclerosis and their correlations with clinical and neuropsychological parameters. The findings suggest that multiple sclerosis patients exhibit increased temporal dynamics of sensory-related microstates and reduced presence of cognitive-related microstates. There is also higher activation of a microstate associated with the default mode network. These findings may represent an electrophysiological signature of brain reorganization in multiple sclerosis.

BRAIN COMMUNICATIONS (2022)

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Article Psychology, Developmental

Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects

Armen Bagdasarov et al.

Summary: This study investigated EEG microstates in early childhood and found that the four canonical microstates reported in adults already exist in children, with two of them associated with age and sex. Source localization revealed that attention and cognitive control-related networks govern the topographies of age- and sex-dependent microstates.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2022)

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Article Biology

Early alterations of large-scale brain networks temporal dynamics in young children with autism

Aurelie Bochet et al.

Summary: Research has shown that toddlers and preschoolers with Autism Spectrum Disorders (ASD) exhibit alterations in the spatiotemporal dynamics of whole-brain neuronal networks, including changes in directed functional connectivity of social brain networks and differences in dynamic syntax. In comparison to typically developing peers, ASD children show increased appearance and prolonged duration in certain microstate classes. Additionally, the temporal dynamics of specific maps in ASD children are related to comorbid conditions associated with ASD during early developmental stages.

COMMUNICATIONS BIOLOGY (2021)

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Article Neurosciences

Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study

Fengmei Fan et al.

Summary: A study on the developmental trajectories of the default-mode network (DMN) using longitudinal resting-state fMRI data revealed that connectivity strength and network efficiency increased from childhood to adolescence, particularly in midline structures. The identification of three subclusters within the DMN based on divergent developmental rates of nodal centrality highlights the complex developmental patterns of this network system. These findings have implications for understanding the network mechanisms underlying cognitive development in individuals.

NEUROIMAGE (2021)

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Article Neurosciences

Alteration in Resting-State EEG Microstates Following 24 Hours of Total Sleep Deprivation in Healthy Young Male Subjects

Ming Ke et al.

Summary: This study investigated the effects of total sleep deprivation on brain activity using microstate analysis. The results suggest that sleep deprivation may lead to alterations in dynamic brain-state properties which could impact cognitive function.

FRONTIERS IN HUMAN NEUROSCIENCE (2021)

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Article Health Care Sciences & Services

Relationship between Spatiotemporal Dynamics of the Brain at Rest and Self-Reported Spontaneous Thoughts: An EEG Microstate Approach

Povilas Tarailis et al.

Summary: Our study identified associations between Comfort, Self, and Somatic Awareness domains and temporal properties of neuroelectric microstates, highlighting the relevance of assessing spontaneous thoughts during rest for understanding intrinsic brain activity reflected in microstates.

JOURNAL OF PERSONALIZED MEDICINE (2021)

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Review Neurosciences

The default mode network in cognition: a topographical perspective

Jonathan Smallwood et al.

Summary: The default mode network (DMN) consists of widely distributed brain regions in the parietal, temporal, and frontal cortex, showing reduced activity during attention-demanding tasks and increased activity during complex cognition tasks. DMN is located in regions furthest away from sensory and motor systems in the cortex. Leveraging knowledge of the topographic characteristics of DMN can enhance understanding of its contribution to cognition and behavior.

NATURE REVIEWS NEUROSCIENCE (2021)

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Article Psychology, Developmental

The development of theta and alpha neural oscillations from ages 3 to 24 years

Dillan Cellier et al.

Summary: This study investigated the development of theta and alpha oscillations from early childhood to adulthood, finding that theta oscillations dominate in posterior electrodes in early childhood while the peak frequency of alpha oscillations increases between ages 7 and 24. Additionally, there was a topographical transition of theta oscillations from dominance in posterior electrodes in early childhood to anterior electrodes in adulthood.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2021)

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Article Multidisciplinary Sciences

EEG microstates associated with intra- and inter-subject alpha variability

Pierpaolo Croce et al.

SCIENTIFIC REPORTS (2020)

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Article Neurosciences

Within and between-person correlates of the temporal dynamics of resting EEG microstates

Anthony P. Zanesco et al.

NEUROIMAGE (2020)

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Article Multidisciplinary Sciences

EEG microstates are a candidate endophenotype for schizophrenia

Janir Ramos da Cruz et al.

NATURE COMMUNICATIONS (2020)

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Article Neurosciences

Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity

Thomas Donoghue et al.

eNeuro (2020)

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Article Neurosciences

Parameterizing neural power spectra into periodic and aperiodic components

Thomas Donoghue et al.

NATURE NEUROSCIENCE (2020)

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Article Neurosciences

Resting state connectivity differences in eyes open versus eyes closed conditions

Oktay Agcaoglu et al.

HUMAN BRAIN MAPPING (2019)

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Article Neurosciences

EEG microstates distinguish between cognitive components of fluid reasoning

Filippo Zappasodi et al.

NEUROIMAGE (2019)

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Article Neurosciences

EEG Microstates Analysis in Young Adults With Autism Spectrum Disorder During Resting-State

David F. D'Croz-Baron et al.

FRONTIERS IN HUMAN NEUROSCIENCE (2019)

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Article Neurosciences

Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI

Lucie Brechet et al.

NEUROIMAGE (2019)

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Article Neurosciences

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website

Luca Pion-Tonachini et al.

NEUROIMAGE (2019)

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Article Neurosciences

Microstates as Disease and Progression Markers in Patients With Mild Cognitive Impairment

Christian Sandoe Musaeus et al.

FRONTIERS IN NEUROSCIENCE (2019)

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Review Neurosciences

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

Christoph M. Michel et al.

NEUROIMAGE (2018)

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Article Engineering, Biomedical

A generic EEG artifact removal algorithm based on the multi-channel Wiener filter

Ben Somers et al.

JOURNAL OF NEURAL ENGINEERING (2018)

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Review Neurosciences

Imaging structural and functional brain development in early childhood

John H. Gilmore et al.

NATURE REVIEWS NEUROSCIENCE (2018)

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Article Psychology, Developmental

From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging

M. I. Tomescu et al.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2018)

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Article Neurosciences

Cognitive manipulation of brain electric microstates

Benjamin A. Seitzman et al.

NEUROIMAGE (2017)

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Article Neurosciences

The EEG microstate topography is predominantly determined by intracortical sources in the alpha band

P. Milz et al.

NEUROIMAGE (2017)

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Article Neurosciences

Age-related functional brain changes in young children

Xiangyu Long et al.

NEUROIMAGE (2017)

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Article Behavioral Sciences

Bilateral parietal activations for complex visual-spatial functions: Evidence from a visual-spatial construction task

Anna Seydell-Greenwald et al.

NEUROPSYCHOLOGIA (2017)

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Review Neurosciences

Where Does EEG Come From and What Does It Mean?

Michael X. Cohen

TRENDS IN NEUROSCIENCES (2017)

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Article Neurosciences

Evolution of brain network dynamics in neurodevelopment

Lucy R. Chai et al.

NETWORK NEUROSCIENCE (2017)

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Article Neurosciences

Electroencephalographic Resting-State Networks: Source Localization of Microstates

Anna Custo et al.

BRAIN CONNECTIVITY (2017)

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Review Neurosciences

The Default Mode Network in Autism

Aarthi Padmanabhan et al.

BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING (2017)

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Article Neurosciences

The functional significance of EEG microstates-Associations with modalities of thinking

P. Milz et al.

NEUROIMAGE (2016)

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Review Neurosciences

The Brain's Default Mode Network

Marcus E. Raichle

ANNUAL REVIEW OF NEUROSCIENCE, VOL 38 (2015)

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Article Biochemical Research Methods

EEG source localization: Sensor density and head surface coverage

Jasmine Song et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

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Review Behavioral Sciences

Microstates in resting-state EEG: Current status and future directions

Arjun Khanna et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2015)

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Article Multidisciplinary Sciences

Emergence of system roles in normative neurodevelopment

Shi Gu et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

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Article Mathematical & Computational Biology

The PREP pipeline: standardized preprocessing for large-scale EEG analysis

Nima Bigdely-Shamlo et al.

FRONTIERS IN NEUROINFORMATICS (2015)

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Development of Human Brain Structural Networks Through Infancy and Childhood

Hao Huang et al.

CEREBRAL CORTEX (2015)

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Changes in structural and functional connectivity among resting-state networks across the human lifespan

Richard F. Betzel et al.

NEUROIMAGE (2014)

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Reliability of Resting-State Microstate Features in Electroencephalography

Arjun Khanna et al.

PLOS ONE (2014)

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Resting-state connectivity in the prodromal phase of schizophrenia: Insights from EEG microstates

Christina Andreou et al.

SCHIZOPHRENIA RESEARCH (2014)

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Scale-free brain activity: past, present, and future

Biyu J. He

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Article Psychology, Developmental

Development of the Default Mode and Central Executive Networks across early adolescence: A longitudinal study

Lauren E. Sherman et al.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2014)

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Review Radiology, Nuclear Medicine & Medical Imaging

Sexual dimorphism in the human brain: evidence from neuroimaging

Julia Sacher et al.

MAGNETIC RESONANCE IMAGING (2013)

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Coupling between visual alpha oscillations and default mode activity

Jue Mo et al.

NEUROIMAGE (2013)

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Review Clinical Neurology

Resting state EEG abnormalities in autism spectrum disorders

Jun Wang et al.

JOURNAL OF NEURODEVELOPMENTAL DISORDERS (2013)

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Review Neurosciences

The origin of extracellular fields and currents - EEG, ECoG, LFP and spikes

Gyoergy Buzsaki et al.

NATURE REVIEWS NEUROSCIENCE (2012)

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Review Neurosciences

Which neural activity do you mean? fMRI, MEG, oscillations and neurotransmitters

Krish D. Singh

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Age Group and Sex Differences in Performance on a Computerized Neurocognitive Battery in Children Age 8-21

Ruben C. Gur et al.

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Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients

Verena Brodbeck et al.

BRAIN (2011)

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The default mode network and EEG alpha oscillations: An independent component analysis

Gennady G. Knyazev et al.

BRAIN RESEARCH (2011)

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Review Neurosciences

How and when the fMRI BOLD signal relates to underlying neural activity: The danger in dissociation

Arne Ekstrom

BRAIN RESEARCH REVIEWS (2010)

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Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

F. Musso et al.

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BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Juliane Britz et al.

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The Development of Human Functional Brain Networks

Jonathan D. Power et al.

NEURON (2010)

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Development of the Brain's Functional Network Architecture

Alecia C. Vogel et al.

NEUROPSYCHOLOGY REVIEW (2010)

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Neural synchrony and the development of cortical networks

Peter J. Uhlhaas et al.

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Development of Large-Scale Functional Brain Networks in Children

Kaustubh Supekar et al.

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Functional Brain Networks Develop from a Local to Distributed Organization

Damien A. Fair et al.

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The brain's default network - Anatomy, function, and relevance to disease

Randy L. Buckner et al.

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G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

Franz Faul et al.

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Neurodevelopmental changes in working memory and cognitive control

Silvia A. Bunge et al.

CURRENT OPINION IN NEUROBIOLOGY (2007)

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Brain connectivity related to working memory performance

Michelle Hampson et al.

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Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis

Nazareth P. Castellanos et al.

JOURNAL OF NEUROSCIENCE METHODS (2006)

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Neurophysiologic basis of EEG

Piotr Olejniczak

JOURNAL OF CLINICAL NEUROPHYSIOLOGY (2006)

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Review Neurosciences

Changes in cerebral functional organization during cognitive development

BJ Casey et al.

CURRENT OPINION IN NEUROBIOLOGY (2005)

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The functional significance of theta and upper alpha oscillations

W Klimesch et al.

EXPERIMENTAL PSYCHOLOGY (2005)

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Article Biochemical Research Methods

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

A Delorme et al.

JOURNAL OF NEUROSCIENCE METHODS (2004)

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Sex differences in cognitive functions

EM Weiss et al.

PERSONALITY AND INDIVIDUAL DIFFERENCES (2003)

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Millisecond by millisecond, year by year: Normative EEG microstates and developmental stages

T Koenig et al.

NEUROIMAGE (2002)

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EEG microstates in early-to-middle childhood show associations with age, biological sex, and alpha power

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