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Eeg microstate

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https://www.readbyqxmd.com/read/29742488/from-swing-to-cane-sex-differences-of-eeg-resting-state-temporal-patterns-during-maturation-and-aging
#1
M I Tomescu, T A Rihs, V Rochas, M Hardmeier, J Britz, G Allali, P Fuhr, S Eliez, C M Michel
While many insights on brain development and aging have been gained by studying resting-state networks with fMRI, relating these changes to cognitive functions is limited by the temporal resolution of fMRI. In order to better grasp short-lasting and dynamically changing mental activities, an increasing number of studies utilize EEG to define resting-state networks, thereby often using the concept of EEG microstates. These are brief (around 100 ms) periods of stable scalp potential fields that are influenced by cognitive states and are sensitive to neuropsychiatric diseases...
April 30, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29723638/magnetic-stimulation-selectively-affects-pre-stimulus-eeg-microstates
#2
Pierpaolo Croce, Filippo Zappasodi, Spadone Sara, Paolo Capotosto
Different electrophysiological (EEG) correlates may provide specific important assessment of the period that anticipates an imperative stimulus. Previous study of our group showed that a local (i.e. parietal) anticipatory EEG marker (i.e. the event related de-synchronization of the alpha rhythms; ERD) is selectively affected when transcranial magnetic stimulation (TMS) is delivered over crucial nodes belonging to well-known human networks involved in different cognitive domains. Here, we investigated whether such distinction is also present in the whole brain activity as seen through the pre-stimulus microstate's topography, representing a global and reference-free measure of the neural activity...
April 30, 2018: NeuroImage
https://www.readbyqxmd.com/read/29666960/consciousness-indexing-and-outcome-prediction-with-resting-state-eeg-in-severe-disorders-of-consciousness
#3
Sabina Stefan, Barbara Schorr, Alex Lopez-Rolon, Iris-Tatjana Kolassa, Jonathan P Shock, Martin Rosenfelder, Suzette Heck, Andreas Bender
We applied the following methods to resting-state EEG data from patients with disorders of consciousness (DOC) for consciousness indexing and outcome prediction: microstates, entropy (i.e. approximate, permutation), power in alpha and delta frequency bands, and connectivity (i.e. weighted symbolic mutual information, symbolic transfer entropy, complex network analysis). Patients with unresponsive wakefulness syndrome (UWS) and patients in a minimally conscious state (MCS) were classified into these two categories by fitting and testing a generalised linear model...
April 17, 2018: Brain Topography
https://www.readbyqxmd.com/read/29599462/recurrence-of-task-related-electroencephalographic-activity-during-post-training-quiet-rest-and-sleep
#4
Michael Murphy, Robert Stickgold, Mittie Elaine Parr, Cameron Callahan, Erin J Wamsley
Offline reactivation of task-related neural activity has been demonstrated in animals but is difficult to directly observe in humans. We sought to identify potential electroencephalographic (EEG) markers of offline memory processing in human subjects by identifying a set of characteristic EEG topographies ("microstates") that occurred as subjects learned to navigate a virtual maze. We hypothesized that these task-related microstates would appear during post-task periods of rest and sleep. In agreement with this hypothesis, we found that one task-related microstate was increased in post-training rest and sleep compared to baseline rest, selectively for subjects who actively learned the maze, and not in subjects performing a non-learning control task...
March 29, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29548241/mutual-information-identifies-spurious-hurst-phenomena-in-resting-state-eeg-and-fmri-data
#5
Frederic von Wegner, Helmut Laufs, Enzo Tagliazucchi
Long-range memory in time series is often quantified by the Hurst exponent H, a measure of the signal's variance across several time scales. We analyze neurophysiological time series from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state experiments with two standard Hurst exponent estimators and with the time-lagged mutual information function applied to discretized versions of the signals. A confidence interval for the mutual information function is obtained from surrogate Markov processes with equilibrium distribution and transition matrix identical to the underlying signal...
February 2018: Physical Review. E
https://www.readbyqxmd.com/read/29352255/offline-stimulation-of-human-parietal-cortex-differently-affects-resting-eeg-microstates
#6
Pierpaolo Croce, Filippo Zappasodi, Paolo Capotosto
The interference effects of transcranial magnetic stimulation (TMS) on several electroencephalographic (EEG) measures in both temporal and frequency domains have been reported. We tested the hypothesis whether the offline external inhibitory interference, although focal, could result in a global reorganization of the functional brain state, as assessed by EEG microstates. In 16 healthy subjects, we inhibited five parietal areas and used a pseudo stimulation (Sham) at rest. The EEG microstates were extracted before and after each stimulation...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29212344/results-obtained-by-combining-different-estimators-of-eeg-connectivity-become-uninterpretable-if-the-underlying-models-are-incompatible
#7
Thomas Koenig, Pedro A Valdés-Sosa
We comment on a recent article published in Brain Connectivity (Hatz et al., 2016 ) that combined electroencephalography (EEG) microstate analysis with the phase-locking index (PLI) and found that the test-retest reliability of connectivity patterns as obtained by the PLI increased when the data had been previously parcellated into microstates. Although we acknowledge the need to parcellate the continuous data into periods that supposedly correspond to transiently stable patterns of connectivity, we believe that the approach chosen by the authors is seriously mistaken...
January 22, 2018: Brain Connectivity
https://www.readbyqxmd.com/read/29196270/eeg-microstates-as-a-tool-for-studying-the-temporal-dynamics-of-whole-brain-neuronal-networks-a-review
#8
REVIEW
Christoph M Michel, Thomas Koenig
The present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of large-scale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants...
December 2, 2017: NeuroImage
https://www.readbyqxmd.com/read/29172013/the-association-between-brain-activity-and-motor-imagery-during-motor-illusion-induction-by-vibratory-stimulation
#9
Takayuki Kodama, Hideki Nakano, Osamu Katayama, Shin Murata
BACKGROUND: The association between motor imagery ability and brain neural activity that leads to the manifestation of a motor illusion remains unclear. OBJECTIVE: In this study, we examined the association between the ability to generate motor imagery and brain neural activity leading to the induction of a motor illusion by vibratory stimulation. METHODS: The sample consisted of 20 healthy individuals who did not have movement or sensory disorders...
2017: Restorative Neurology and Neuroscience
https://www.readbyqxmd.com/read/29163110/modeling-uncertainties-in-eeg-microstates-analysis-of-real-and-imagined-motor-movements-using-probabilistic-clustering-driven-training-of-probabilistic-neural-networks
#10
Martin Dinov, Robert Leech
Part of the process of EEG microstate estimation involves clustering EEG channel data at the global field power (GFP) maxima, very commonly using a modified K-means approach. Clustering has also been done deterministically, despite there being uncertainties in multiple stages of the microstate analysis, including the GFP peak definition, the clustering itself and in the post-clustering assignment of microstates back onto the EEG timecourse of interest. We perform a fully probabilistic microstate clustering and labeling, to account for these sources of uncertainty using the closest probabilistic analog to KM called Fuzzy C-means (FCM)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29119612/are-you-surprised-to-hear-this-longitudinal-spectral-speech-exposure-in-older-compared-to-middle-aged-normal-hearing-adults
#11
Nathalie Giroud, Ulrike Lemke, Philip Reich, Julia Bauer, Susann Widmer, Martin Meyer
Cognitive abilities such as attention or working memory can support older adults during speech perception. However, cognitive abilities as well as speech perception decline with age, leading to the expenditure of effort during speech processing. This longitudinal study therefore investigated age-related differences in electrophysiological processes during speech discrimination and assessed the extent of enhancement to such cognitive auditory processes through repeated auditory exposure. For that purpose, accuracy and reaction time were compared between 13 older adults (62-76 years) and 15 middle-aged (28-52 years) controls in an active oddball paradigm which was administered at three consecutive measurement time points at an interval of 2 wk, while EEG was recorded...
January 2018: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29096552/exploring-differences-between-left-and-right-hand-motor-imagery-via-spatio-temporal-eeg-microstate
#12
Weifeng Liu, Xiaoming Liu, Ruomeng Dai, Xiaoying Tang
EEG-based motor imagery is very useful in brain-computer interface. How to identify the imaging movement is still being researched. Electroencephalography (EEG) microstates reflect the spatial configuration of quasi-stable electrical potential topographies. Different microstates represent different brain functions. In this paper, microstate method was used to process the EEG-based motor imagery to obtain microstate. The single-trial EEG microstate sequences differences between two motor imagery tasks - imagination of left and right hand movement were investigated...
November 3, 2017: Computer Assisted Surgery (Abingdon, England)
https://www.readbyqxmd.com/read/29038516/eeg-topographies-provide-subject-specific-correlates-of-motor-control
#13
Elvira Pirondini, Martina Coscia, Jesus Minguillon, José Del R Millán, Dimitri Van De Ville, Silvestro Micera
Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-established role during resting state, their implication in the generation of motor behavior is debated. Evidence of such a functional role of spontaneous brain activity would provide support for the design of novel and sensitive biomarkers in neurological disorders...
October 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28941875/face-and-gaze-perception-in-borderline-personality-disorder-an-electrical-neuroimaging-study
#14
Cristina Berchio, Camille Piguet, Kornelia Gentsch, Anne-Lise Küng, Tonia A Rihs, Roland Hasler, Jean-Michel Aubry, Alexandre Dayer, Christoph M Michel, Nader Perroud
Humans are sensitive to gaze direction from early life, and gaze has social and affective values. Borderline personality disorder (BPD) is a clinical condition characterized by emotional dysregulation and enhanced sensitivity to affective and social cues. In this study we wanted to investigate the temporal-spatial dynamics of spontaneous gaze processing in BPD. We used a 2-back-working-memory task, in which neutral faces with direct and averted gaze were presented. Gaze was used as an emotional modulator of event-related-potentials to faces...
September 15, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28938855/electroencephalographic-resting-state-networks-source-localization-of-microstates
#15
Anna Custo, Dimitri Van De Ville, William M Wells, Miralena I Tomescu, Denis Brunet, Christoph M Michel
Using electroencephalography (EEG) to elucidate the spontaneous activation of brain resting-state networks (RSNs) is nontrivial as the signal of interest is of low amplitude and it is difficult to distinguish the underlying neural sources. Using the principles of electric field topographical analysis, it is possible to estimate the meta-stable states of the brain (i.e., the resting-state topographies, so-called microstates). We estimated seven resting-state topographies explaining the EEG data set with k-means clustering (N = 164, 256 electrodes)...
December 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28936168/mining-time-resolved-functional-brain-graphs-to-an-eeg-based-chronnectomic-brain-aged-index-cbai
#16
Stavros I Dimitriadis, Christos I Salis
The brain at rest consists of spatially and temporal distributed but functionally connected regions that called intrinsic connectivity networks (ICNs). Resting state electroencephalography (rs-EEG) is a way to characterize brain networks without confounds associated with task EEG such as task difficulty and performance. A novel framework of how to study dynamic functional connectivity under the notion of functional connectivity microstates (FCμstates) and symbolic dynamics is further discussed. Furthermore, we introduced a way to construct a single integrated dynamic functional connectivity graph (IDFCG) that preserves both the strength of the connections between every pair of sensors but also the type of dominant intrinsic coupling modes (DICM)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28860987/apathy-in-patients-with-parkinson-s-disease-correlates-with-alteration-of-left-fronto-polar-electroencephalographic-connectivity
#17
Florian Hatz, Antonia Meyer, Ronan Zimmermann, Ute Gschwandtner, Peter Fuhr
Introduction: Quantitative electroencephalography (QEEG) brain frequency and network analyses are known to differentiate between disease stages in Parkinson's disease (PD) and are possible biomarkers. They correlate with cognitive decline. Little is known about changes in brain networks in relation to apathy. Objective/Aims: To analyze changes in brain network connectivities related to apathy. Methods: 40 PD patients (14 PD with mild cognitive deficits and 26 PD with normal cognition) were included. All patients had extensive neuropsychological testing; apathy was evaluated using the apathy evaluation score (AES, median 24...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28770364/inter-study-and-inter-individual-consistency-and-variability-of-eeg-erp-microstate-sequences-in-referential-word-production
#18
Marina Laganaro
Periods of stable global electric field at scalp unfolding during a cognitive task can be linked to brain processes and are therefore well suited to investigate simultaneously qualitative and quantitative differences across conditions or populations of interest. The electrophysiological event-related (ERP) spatio-temporal dynamic has been repetitively investigated in referential word production, but the different designs, settings and analyses do not allow to conclude on the reliability of the microstate sequences across studies and individuals...
August 2, 2017: Brain Topography
https://www.readbyqxmd.com/read/28705608/the-impact-of-hearing-aids-and-age-related-hearing-loss-on-auditory-plasticity-across-three-months-an-electrical-neuroimaging-study
#19
Nathalie Giroud, Ulrike Lemke, Philip Reich, Katarina L Matthes, Martin Meyer
The present study investigates behavioral and electrophysiological auditory and cognitive-related plasticity in three groups of healthy older adults (60-77 years). Group 1 was moderately hearing-impaired, experienced hearing aid users, and fitted with new hearing aids using non-linear frequency compression (NLFC on); Group 2, also moderately hearing-impaired, used the same type of hearing aids but NLFC was switched off during the entire period of study duration (NLFC off); Group 3 represented individuals with age-appropriate hearing (NHO) as controls, who were not different in IQ, gender, or age from Group 1 and 2...
June 29, 2017: Hearing Research
https://www.readbyqxmd.com/read/28673879/information-theoretical-analysis-of-resting-state-eeg-microstate-sequences-non-markovianity-non-stationarity-and-periodicities
#20
F von Wegner, E Tagliazucchi, H Laufs
We present an information-theoretical analysis of temporal dependencies in EEG microstate sequences during wakeful rest. We interpret microstate sequences as discrete stochastic processes where each state corresponds to a representative scalp potential topography. Testing low-order Markovianity of these discrete sequences directly, we find that none of the recordings fulfils the Markov property of order 0, 1 or 2. Further analyses show that the microstate transition matrix is non-stationary over time in 80% (window size 10 s), 60% (window size 20 s) and 44% (window size 40 s) of the subjects, and that transition matrices are asymmetric in 14/20 (70%) subjects...
June 30, 2017: NeuroImage
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