Review
Clinical Neurology
Povilas Tarailis, Thomas Koenig, Christoph M. Michel, Inga Griskova-Bulanova
Summary: This article provides an overview of the functional role of electrical brain microstates, based on a systematic review of existing literature.
Article
Clinical Neurology
Yansong Li, Guoliang Chen, Jing Lv, Lei Hou, Zhao Dong, Rongfei Wang, Min Su, Shengyuan Yu
Summary: This study examined EEG microstates in migraine patients and found that microstate classes B and D had higher time coverage and occurrence in migraine patients compared to healthy controls, while microstate class C exhibited lower time coverage and occurrence. The duration of microstate class C was negatively correlated with headache-related disability in migraine patients. Microstate syntax analysis also revealed significant differences in transition probabilities between the two groups.
JOURNAL OF HEADACHE AND PAIN
(2022)
Article
Engineering, Biomedical
Obada Al Zoubi, Ahmad Mayeli, Masaya Misaki, Aki Tsuchiyagaito, Vadim Zotev, Hazem Refai, Martin Paulus, Jerzy Bodurka
Summary: The study analyzed the association between EEG microstates and fMRI data in healthy subjects, showing that MS transitions were largely negatively associated with specific fMRI networks. A novel concept was proposed that MS dynamics can model BOLD signals.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Shuang Qiu, Shengpei Wang, Weiwei Peng, Weibo Yi, Chuncheng Zhang, Jing Zhang, Huiguang He
Summary: Continuous theta-burst stimulation (cTBS) induces long-lasting inhibitory effects on cortical excitability and leads to improvements in motor function. Changes in microstate B were found to be associated with improvements in motor function, indicating a specific modulation by cTBS on motor network connectivity.
COGNITIVE NEURODYNAMICS
(2022)
Article
Neurosciences
Berangere Thirioux, Nicolas Langbour, Prasanth Bokam, Lea Renaudin, Issa Wassouf, Ghina Harika-Germaneau, Nematollah Jaafari
Summary: Using high-density electrical neuroimaging, this study explores the dysfunctional patterns of microstates dynamics in obsessive-compulsive disorder (OCD). The study finds that OCD patients exhibit increased contribution and decreased duration of microstates C and decreased activity in the Salience Network. Additionally, there is increased activity in the Default Mode Network and Executive Control Network, both associated with other microstates. The hyperactivity of the right angular gyrus in the Executive Control Network correlates with symptom severity.
Article
Clinical Neurology
Stefan J. Teipel, Katharina Brueggen, Anna Gesine Marie Temp, Kristina Jakobi, Marc-Andre Weber, Christoph Berger
Summary: The study revealed that compared with healthy controls, Alzheimer's disease (AD) patients show an anteriorisation of EEG microstate topologies and reduced spatial expression of default mode networks and increased frontal lobe networks in resting state functional MRI (rs-fMRI). Analysis of the time courses of EEG microstates and corresponding rs-fMRI networks found prevalent negative correlations in controls. This suggests a potential breakdown of anterior-to-posterior connectivity in AD patients.
FRONTIERS IN NEUROLOGY
(2021)
Article
Neurosciences
Jingxin Chen, Yufeng Ke, Guangjian Ni, Shuang Liu, Dong Ming
Summary: Electroencephalography (EEG) microstate analysis is a popular tool for studying the dynamics of brain electrophysiological activities. Recent studies have shown that mental workload (MWL) modulates microstate, but it is unclear whether the modulation is consistent across different tasks. This study found that the modulation of MWL on microstate depends on tasks, and microstate parameters can be used to distinguish MWL.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Marjorie Metzger, Stefan Dukic, Roisin McMackin, Eileen Giglia, Matthew Mitchell, Saroj Bista, Emmet Costello, Colm Peelo, Yasmine Tadjine, Vladyslav Sirenko, Serena Plaitano, Amina Coffey, Lara McManus, Adelais Farnell Sharp, Prabhav Mehra, Mark Heverin, Peter Bede, Muthuraman Muthuraman, Niall Pender, Orla Hardiman, Bahman Nasseroleslami
Summary: Recent EEG studies have found that analyzing EEG microstates can help differentiate ALS from control groups and detect signal abnormalities in ALS. The properties of microstates, such as coverage, occurrence, duration, and transition probabilities, show differences between ALS and control groups and correlate with functional decline in limbs and cognitive decline. Microstate characteristics also change over the course of the disease and may reflect abnormalities within sensory and higher-order networks. Furthermore, microstate properties can predict symptom progression in those with cognitive impairments.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Luke Tait, Jiaxiang Zhang
Summary: EEG microstate analysis is a method for studying brain states and transitions, but it is limited in its use at the sensor level. This study generalized the microstate methodology to source-reconstructed electrophysiological data and identified ten microstates with distinct spatial distributions. The study also found that source-level microstates were associated with different functional connectivity patterns.
Review
Psychiatry
Sushmit Das, Reza Zomorrodi, Peter G. G. Enticott, Melissa Kirkovski, Daniel M. M. Blumberger, Tarek K. K. Rajji, Pushpal Desarkar
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)
Review
Clinical Neurology
Anthony P. Zanesco
Summary: Electroencephalographic microstates, which are large-scale electrophysiological events, provide insight into the intrinsic activity of whole-brain neuronal networks. The dynamics of microstates, including their temporal patterns, are believed to reflect neurocognitive functioning and can predict development, disease progression, and psychological differences. This study conducted a systematic search and meta-analysis to estimate the average temporal dynamics of microstates across diverse populations, revealing differences based on developmental and clinical factors.
Article
Neurosciences
Fang Yu, Yanzhe Gao, Fenglian Li, Xueying Zhang, Fengyun Hu, Wenhui Jia, Xiaohui Li
Summary: The identification of applicable electrophysiological biomarkers for post-stroke disorder of consciousness (PS-DOC) is crucial. In this study, microstate analysis was conducted on resting-state electroencephalography (EEG) of stroke patients. The distinctions in features between patients with awake consciousness and patients with PS-DOC were examined, and a support vector machine was used for classification. The integration of delta/alpha ratio with microstates' temporal and Lempel-Ziv complexity features showed the highest performance in classifying PS-DOC.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Sungu Nam, Kyoung-Mi Jang, Moonyoung Kwon, Hyun Kyoon Lim, Jaeseung Jeong
Summary: Virtual reality (VR) is a rapidly developing technology that simulates the real world. This study aims to analyze the brain states and functional connectivity related to cybersickness, a major problem for VR users. The results show that sensory conflict theory can explain the occurrence of cybersickness, and changes in brain dynamics support this theory.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Neurosciences
Hao Li, Jingyi Yue, Yufeng Wang, Feng Zou, Meng Zhang, Xin Wu
Summary: Mobile phone addiction may have negative effects on the attentional and sensory brain networks, while withdrawal symptoms could induce negative emotions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Psychiatry
Ruoheng Lin, Qiguang Li, Ziwei Liu, Shaoling Zhong, Qiaoling Sun, Huijuan Guo, Hui Cao, Xiangbin Zhang, Yuhang Hu, Jiansong Zhou, Xiaoping Wang
Summary: This study investigated EEG microstates in violent patients with schizophrenia. The results showed differences in EEG microstate parameters between violent and non-violent patients, which could help clinicians identify schizophrenia patients with a risk for violence and develop early intervention strategies.
FRONTIERS IN PSYCHIATRY
(2023)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.