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Eeg microstate

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https://www.readbyqxmd.com/read/29212344/results-obtained-by-combining-different-estimators-of-eeg-connectivity-become-uninterpretable-if-the-underlying-models-are-incompatible
#1
Thomas Koenig, Pedro A Valdes-Sosa
We comment on a recent paper published in Brain Connectivity (Hatz et al. 2016) that combined EEG microstate analysis with the phase locking index and found that the test-retest reliability of connectivity patterns as obtained by the phase locking index increased when the data had been previously parcellated into microstates. While 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...
December 6, 2017: 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
#2
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...
November 28, 2017: NeuroImage
https://www.readbyqxmd.com/read/29172013/the-association-between-brain-activity-and-motor-imagery-during-motor-illusion-induction-by-vibratory-stimulation
#3
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
#4
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
#5
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 (62-76y) and 15 middle-aged (28-52y) controls in an active oddball paradigm which was administered at three consecutive measurement time points at an interval of two weeks, while EEG was recorded...
November 9, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29096552/exploring-differences-between-left-and-right-hand-motor-imagery-via-spatio-temporal-eeg-microstate
#6
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
#7
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
#8
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
#9
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)...
November 17, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28936168/mining-time-resolved-functional-brain-graphs-to-an-eeg-based-chronnectomic-brain-aged-index-cbai
#10
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
#11
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
#12
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
#13
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
#14
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
https://www.readbyqxmd.com/read/28673751/intensive-repetitive-transcranial-magnetic-stimulation-changes-eeg-microstates-in-schizophrenia-a-pilot-study
#15
Tomas Sverak, Lenka Albrechtova, Martin Lamos, Irena Rektorova, Libor Ustohal
No abstract text is available yet for this article.
June 30, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28547185/prognostic-value-of-eeg-microstates-in-acute-stroke
#16
Filippo Zappasodi, Pierpaolo Croce, Alessandro Giordani, Giovanni Assenza, Nadia M Giannantoni, Paolo Profice, Giuseppe Granata, Paolo M Rossini, Franca Tecchio
Given the importance of neuronal plasticity in recovery from a stroke and the huge variability of recovery abilities in patients, we investigated neuronal activity in the acute phase to enhance information about the prognosis of recovery in the stabilized phase. We investigated the microstates in 47 patients who suffered a first-ever mono-lesional ischemic stroke in the middle cerebral artery territory and in 20 healthy control volunteers. Electroencephalographic (EEG) activity at rest with eyes closed was acquired between 2 and 10 days (T0) after ischemic attack...
May 25, 2017: Brain Topography
https://www.readbyqxmd.com/read/28528447/a-single-bout-of-endurance-exercise-modulates-eeg-microstates-temporal-features
#17
Jérôme N Spring, Miralena I Tomescu, Jérôme Barral
Electrical neuroimaging is a promising method to explore the spontaneous brain function after physical exercise. The present study aims to investigate the effect of acute physical exercise on the temporal dynamic of the resting brain activity captured by the four conventional map topographies (microstates) described in the literature, and to associate these brain changes with the post-exercise neuromuscular function. Twenty endurance-trained subjects performed a 30-min biking task at 60% of their maximal aerobic power followed by a 10 km all-out time trial...
May 20, 2017: Brain Topography
https://www.readbyqxmd.com/read/28493012/eeg-microstate-correlates-of-fluid-intelligence-and-response-to-cognitive-training
#18
Emiliano Santarnecchi, Arjun R Khanna, Christian S Musaeus, Christopher S Y Benwell, Paula Davila, Faranak Farzan, Santosh Matham, Alvaro Pascual-Leone, Mouhsin M Shafi
The neurobiological correlates of human fluid intelligence (Gf) remain elusive. Here, we demonstrate that spatiotemporal dynamics of EEG activity correlate with baseline measures of Gf and with its modulation by cognitive training. EEG dynamics were assessed in 74 healthy participants by examination of fast-changing, recurring, topographically-defined electric patterns termed "microstates", which characterize the electrophysiological activity of distributed cortical networks. We find that the frequency of appearance of specific brain topographies, spatially associated with visual (microstate B) and executive control (microstate C) networks, respectively, is inversely related to Gf scores...
May 10, 2017: Brain Topography
https://www.readbyqxmd.com/read/28451913/eeg-microstates-during-different-phases-of-transcendental-meditation-practice
#19
Pascal L Faber, Frederick Travis, Patricia Milz, Niyazi Parim
Two phases of Transcendental Meditation (TM)-transcending and undirected mentation-were compared to each other and to task-free resting using multichannel EEG recorded from 20 TM practitioners. An EEG microstate analysis identified four classes of microstates which were labeled A, B, C and D, based on their similarity to previously published classes. For each class of microstates, mean duration, coverage and occurrence were computed. Resting and transcending differed from undirected mentation with decreased prominence of Class A and increased prominence of Class D microstates...
August 2017: Cognitive Processing
https://www.readbyqxmd.com/read/28431164/low-activity-microstates-during-sleep
#20
Hiroyuki Miyawaki, Yazan N Billeh, Kamran Diba
Study Objectives: To better understand the distinct activity patterns of the brain during sleep, we observed and investigated periods of diminished oscillatory and population spiking activity lasting for seconds during non-rapid eye movement (non-REM) sleep, which we call "LOW" activity sleep. Methods: We analyzed spiking and local field potential (LFP) activity of hippocampal CA1 region alongside neocortical electroencephalogram (EEG) and electromyogram (EMG) in 19 sessions from four male Long-Evans rats (260-360 g) during natural wake/sleep across the 24-hr cycle as well as data from other brain regions obtained from http://crcns...
June 1, 2017: Sleep
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