A Time-Variant Processing Approach for the Analysis of Alpha and Gamma MEG Oscillations During Flicker Stimulus Generated Entrainment

Wacker, Matthias; Galicki, M.; Putsche, P.; Milde, T.; Schwab, Karin; Haueisen, Jens; Ligges, Carolin; Witte, Herbert

doi:10.1109/tbme.2011.2160640

Cited by 14 publications

(26 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, the gamma frequency range can be contaminated by artefacts which originate miniature saccades [46]. Such induced high-frequency artefacts can be identified by tvPDC analysis between EOG and EEG/MEG, as previously demonstrated in Wacker et al [31], and rejected by an ICA approach [47]. Artefacts incorporating effects of moving sources as, for example, heart-related artefacts cannot be fully tackled by ICA.…”

Section: Discussionmentioning

confidence: 97%

Time-variant partial directed coherence for analysing connectivity: a methodological study

Leistritz

Pester

Doering

et al. 2013

Phil. Trans. R. Soc. A.

Self Cite

View full text Add to dashboard Cite

For the past decade, the detection and quantification of interactions within and between physiological networks has become a priority-in-common between the fields of biomedicine and computer science. Prominent examples are the interaction analysis of brain networks and of the cardiovascular–respiratory system. The aim of the study is to show how and to what extent results from time-variant partial directed coherence analysis are influenced by some basic estimator and data parameters. The impacts of the Kalman filter settings, the order of the autoregressive (AR) model, signal-to-noise ratios, filter procedures and volume conduction were investigated. These systematic investigations are based on data derived from simulated connectivity networks and were performed using a Kalman filter approach for the estimation of the time-variant multivariate AR model. Additionally, the influence of electrooculogram artefact rejection on the significance and dynamics of interactions in 29 channel electroencephalography recordings, derived from a photic driving experiment, is demonstrated. For artefact rejection, independent component analysis was used. The study provides rules to correctly apply particular methods that will aid users to achieve more reliable interpretations of the results.

show abstract

Section: Discussionmentioning

confidence: 97%

Time-variant partial directed coherence for analysing connectivity: a methodological study

Leistritz

Pester

Doering

et al. 2013

Phil. Trans. R. Soc. A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The interplay between alpha and higher frequencies (e.g. gamma) has been shown by Wacker et al (2011) andChorlian (2006).…”

Section: Discussionmentioning

confidence: 98%

Slowed peak resting frequency and MEG overactivation in survivors of severe sepsis and septic shock

Götz

Baumbach

Huonker

et al. 2016

Clinical Neurophysiology

View full text Add to dashboard Cite

“…artifact) is observed to varying degrees in all EEG signals, and it is phase-locked to the onset of the BUS condition. Consequently, possibly occurring higher harmonics must also be phase-locked and can be detected via PLI in order to avoid misinterpretations (Wacker et al 2011). The detailed description of the whole artifact detection and rejection strategy and its results can be found in SI 2.…”

Section: Methodsmentioning

confidence: 99%

Cortical Correlates of Human Balance Control

et al. 2017

View full text Add to dashboard Cite

Balance control is a fundamental component of human every day motor activities such as standing or walking, and its impairment is associated with an increased risk of falling. However, in humans the exact neurobiological mechanisms underlying balance control are still unclear. Specifically, although previous studies have identified a number of cortical regions that become significantly activated during real or imagined balancing, the interactions within and between the relevant cortical regions remain to be investigated. The working hypothesis of this study is that cortical networks contribute to an optimization of balance control, and that this contribution can be revealed by partial directed coherence—a time-variant, frequency-selective and directed functional connectivity analysis tool. Electroencephalographic activity was recorded in 37 subjects during single-leg balancing on a stable as well as an unstable surface. Results of this study show that in the transition from balancing on a stable surface to an unstable surface, two topographically delimitable connectivity networks (weighted directed networks) are established; one associated with the alpha and one with the theta frequency band. The theta network sequence can be described as a set of subnetworks (modules) comprising the frontal, central and parietal cortex with individual temporal and spatial developments within and between those modules. In the alpha network, the occipital electrodes O1 and O2 act as a source, and the interactions propagate predominantly in the directions from occipital to parietal and to centro-parietal areas. These important findings indicate that balance control is supported by at least two functional cortical networks.Electronic supplementary materialThe online version of this article (doi:10.1007/s10548-017-0567-x) contains supplementary material, which is available to authorized users.

show abstract

A Time-Variant Processing Approach for the Analysis of Alpha and Gamma MEG Oscillations During Flicker Stimulus Generated Entrainment

Cited by 14 publications

References 27 publications

Time-variant partial directed coherence for analysing connectivity: a methodological study

Time-variant partial directed coherence for analysing connectivity: a methodological study

Slowed peak resting frequency and MEG overactivation in survivors of severe sepsis and septic shock

Cortical Correlates of Human Balance Control

Contact Info

Product

Resources

About