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

P. Milz, R.D. Pascual-Marqui, P. Achermann, K. Kochi, P.L. Faber
2017 NeuroImage  
., The EEG microstate topography is predominantly determined by intracortical sources in the alpha band, NeuroImage (2017), Abstract Human brain electric activity can be measured at high temporal and fairly  ...  M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT The intracortical strength and spatial distribution of alpha band activity mainly determined whether a head-surface topography of EEG microstate  ...  source activities in the alpha band Since the alpha EEG frequency band clearly appeared most decisive in determining the EEG microstate class topography, we applied two additional analyses to learn more  ... 
doi:10.1016/j.neuroimage.2017.08.058 pmid:28847493 fatcat:bhl3sybbx5fk3ao2i2tgtphsxm

40 Hz Light Flicker Alters Human Brain Electroencephalography Microstates and Complexity Implicated in Brain Diseases

Yiqi Zhang, Zhenyu Zhang, Lei Luo, Huaiyu Tong, Fei Chen, Sheng-Tao Hou
2021 Frontiers in Neuroscience  
The effect of 40 Hz low gamma frequency light on a cohort of healthy human brains was examined using 64 channel electroencephalography (EEG), followed by microstate analyses.  ...  Light flicker at 40 Hz significantly increased the corresponding band power in the O1, Oz, and O3 electrodes covering the occipital areas of both sides of the brain, indicating potent entrainment with  ...  We would particularly like to thank the two reviewers for their constructive comments and draw our attention to the distinctive strategies for EEG microstate analysis.  ... 
doi:10.3389/fnins.2021.777183 pmid:34966258 pmcid:PMC8710722 fatcat:iwvrxmgmh5hvnnjunomf53lruy

Canonical EEG Microstate Dynamic Properties and Their Associations with fMRI Signals at Resting Brain [article]

Obada Al Zoubi, Masaya Misaki, Aki Tsuchiyagaito, Ahmad Mayeli, Vadim Zotev, Hazem Refai, Martin P. Paulus, Jerzy Bodurka, Tulsa 1000 Investigators
2020 bioRxiv   pre-print
Recent works suggest a role for brain spontaneous EEG rhythms in contributing to and modulating canonical EEG-ms topographies and determining their classes (coined A through D) and metrics.  ...  A similar pattern emerged in using the transition regressors among microstates but not in self-transitions.  ...  Warren Foundation and in part by the P20 GM121312 award from the National Institute of General Medical Sciences, National Institutes of Health.  ... 
doi:10.1101/2020.08.14.251066 fatcat:kh3kyvwnsfh75eo3lqd46yj5zq

Intrinsic Brain Activity in Temporal Lobe Epilepsy With and Without Depression: Insights From EEG Microstates

Yueqian Sun, Guoping Ren, Jiechuan Ren, Qun Wang
2022 Frontiers in Neurology  
There was no difference between the two groups in the coverage of microstate A–D.Conclusion: This is the first study to present the temporal fluctuations of EEG topography in comorbid depression in TLE  ...  Microstate analysis was applied based on 256-channel electroencephalography (EEG) to detect the dynamic changes in whole brain.  ...  The EEG microstate topography is predominantly determined by intracortical sources in the alpha band.  ... 
doi:10.3389/fneur.2021.753113 pmid:35058871 pmcid:PMC8764160 fatcat:fwumznev3fgq5fp7zrjbo3yxpy

Self-reported Mind Wandering and Response Time Variability Differentiate Prestimulus Electroencephalogram Microstate Dynamics during a Sustained Attention Task

Anthony P. Zanesco, Ekaterina Denkova, Amishi P. Jha
2020 Journal of Cognitive Neuroscience  
The strength, prevalence, and rate of occurrence of specific microstates differentiated on- versus off-task moments in the prestimulus epochs of trials preceding probes.  ...  In this study, we investigated the association between electroencephalogram microstate temporal dynamics and self-reported mind wandering.  ...  We utilized the freely available Cartool software toolbox ( programmed by Denis Brunet from the Functional Brain Mapping Laboratory, Geneva, Switzerland, and supported by the  ... 
doi:10.1162/jocn_a_01636 pmid:33054554 fatcat:mgkbntnzbbhrpbtscen3pxusfe

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics

Zexuan Hao, Xiaoxue Zhai, Dandan Cheng, Yu Pan, Weibei Dou
2022 Frontiers in Neuroscience  
We capitalized on microstate features from eyes-closed resting-state EEG data to investigate whether microstate dynamics differ between subacute stroke patients (N = 31) and healthy populations (N = 23  ...  Although the connectivity patterns were diminished in stroke patients, the skeleton of the patterns was retained to some extent.  ...  ACKNOWLEDGMENTS We thank Yanlin Zhang from the Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital for his assistance in EEG data acquisition.  ... 
doi:10.3389/fnins.2022.848737 pmid:35645720 pmcid:PMC9131012 fatcat:lprjpgisvfhnnjkkqoowlhhnee

15th Biennial Meeting of the International Pharmaco-EEG Group (IPEG)

2008 Neuropsychobiology  
, 36) , whereas non-responders showed decrease of alpha-2 and beta-1 sources predominantly in the frontal regions (BA 6, 9, 32) .  ...  The localization of the differences in source distribution was assessed by voxel-by-voxel paired t-tests of sLORETA images of the log-transformed current density power in eight frequency bands.  ...  While reduction of power of alpha bands observed in FE (Pflueger et al., 2008) , there is no correlation with sans.  ... 
doi:10.1159/000201719 fatcat:cofwiswqgbexje7ufpzj7rtqcu

Toward a quantitative description of large-scale neocortical dynamic function and EEG

P L Nunez
2000 Behavioral and Brain Sciences  
A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined.  ...  Brain states are determined by neuromodulatory control parameters. Purely local states are dominated by local feedback gains and rise and decay times of postsynaptic potentials.  ...  The SMA has been shown to have its own intrinsic rhythm in the alpha band.  ... 
pmid:11301576 fatcat:cmcfenrrdzfnbndia5kgtnsiqu

Toward a quantitative description of large-scale neocortical dynamic function and EEG

Paul L. Nunez
2000 Behavioral and Brain Sciences  
The SMA has been shown to have its own intrinsic rhythm in the alpha band.  ...  with 1-Hz frequency changes within the alpha band.  ...  The brain is clearly a system with microstates within mesostates with macrostates (in both time and space).  ... 
doi:10.1017/s0140525x00003253 fatcat:qgg5rqiyj5h45aamfootetmxf4

Brain electric idiosyncrasies and commonalities of meditation states

Pascal L Faber
I'll introduce the EEG analysis methods of choice used in the studies presented in chapter 2, which are intracortical source modeling and intracortical lagged connectivity.  ...  clearly different topographies in the delta frequency band and minor differences in the beta-2 band.  ... 
doi:10.5167/uzh-124504 fatcat:axkrkyu5zzajjmclcnv2pq5srm


2008 Swiss Archives of Neurology and Psychiatry  
Acknowledgement: The study is supported by the Zurich Centre for Integrative Human Physiology (ZIHP).  ...  While reduction of power of alpha bands was observed in FE (Pflueger et al., 2008) , there is no correlation with SANS.  ...  The only way to obtain functionally interpretable information on connectivity of EEG signals between brain regions is to model the scalp-recorded data by intracerebral generator sources and to compute  ... 
doi:10.4414/sanp.2008.02001 fatcat:q2vqyh7qlbd7ljd2f4xphgb6ie

Cortical Mechanisms Underlying the Organization of Goal-Directed Actions and Mirror Neuron-Based Action Understanding

Giacomo Rizzolatti, Luigi Cattaneo, Maddalena Fabbri-Destro, Stefano Rozzi
2014 Physiological Reviews  
In the second part we show how a specific neural mechanism, the mirror mechanism, is involved in understanding the action and intention of others.  ...  This is the consequence not only of an increase in the amount of data on this system but especially of a paradigm shift in our conceptualization of it.  ...  The graph shows the EEG power time course for each frequency band: alpha band (8) (9) (10) (11) (12) (13) in green, lower beta (13-18 Hz) in red, and upper beta (18 -25 Hz) in cyan.  ... 
doi:10.1152/physrev.00009.2013 pmid:24692357 fatcat:othsqj5uyfdrffvkxlnss2oo4e

Fundamentally altered global- and microstate EEG characteristics in Huntington's disease

Pascal L Faber, Patricia Milz, Eva Z Reininghaus, Sabrina Mörkl, Anna K Holl, Hans-Peter Kapfhammer, Roberto D Pascual-Marqui, Kieko Kochi, Peter Achermann, Annamaria Painold
The study aimed to determine electroencephalography (EEG) global state and microstate changes in HD and their relationship with cognitive and behavioral impairments.  ...  Objective: Huntington's disease (HD) is characterized by psychiatric, cognitive, and motor disturbances.  ...  Clinical Neurophysiology 132 (2021) 13-22 As mentioned above, Milz et al. (2017) reported that the frequency band-wise source localization differences between the microstate classes are predominantly  ... 
doi:10.5167/uzh-193680 fatcat:d2mndmjslrdfndtw6bkogi5mvq

Brain electric mechanisms of modalities of thinking

Patricia Milz
Considerable research suggested alpha modulations related to modality-specific states and traits.  ...  This study identified the distinct electrophysiological cortical frequency-dependent networks within which they operate.  ...  The EEG microstate analysis relies on the analysis of the head-surface topographies of EEG activity in a broad frequency band which is minimally affected by muscular artifacts.  ... 
doi:10.5167/uzh-127610 fatcat:r6h2vmxwzvagjgndu3qtwx7lvi

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  within the constraints of biological networks.  ...  material is based upon work supported by the National Science Foundation under Grant No.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu
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