Time-frequency analysis of resting state and evoked EEG data recorded at higher magnetic fields up to 9.4T

Abbasi, Omid; Dammers, Jürgen; Warbrick, Tracy; Butz, Markus; Neuner, Irene; Shah, N. Jon

doi:10.1016/j.jneumeth.2015.07.011

Cited by 12 publications

(8 citation statements)

References 46 publications

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“…Heart artefact distorted MEG signals in one of the subjects (Subject #13). The combination of independent component analysis and mutual information (mi) was used based on the method introduced in (Abbasi et al, ; Abbasi, Hirschmann, Schmitz, Schnitzler, & Butz, ) to identify artefactual components (mi between ICs and ECG signal; two artefactual components were detected for each condition). Finally, MEG data were segmented time locked to sound onset from −2 to 2 s. In the preprocessing and data analysis steps, custom‐made scripts in MATLAB R2018 (The MathWorks, Natick, MA) in combination with the MATLAB‐based FieldTrip toolbox (Oostenveld, Fries, Maris, & Schoffelen, ) were used in accordance with current MEG guidelines (Gross et al, ).…”

Section: Methodsmentioning

confidence: 99%

Beta‐band oscillations play an essential role in motor–auditory interactions

Abbasi

Groß

2019

Human Brain Mapping

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In the human brain, self-generated auditory stimuli elicit smaller cortical responses compared to externally generated sounds. This sensory attenuation is thought to result from predictions about the sensory consequences of self-generated actions that rely on motor commands. Previous research has implicated brain oscillations in this process. However, the specific role of these oscillations in motor-auditory interactions during sensory attenuation is still unclear. In this study, we aimed at addressing this question by using magnetoencephalography (MEG). We recorded MEG in 20 healthy participants during listening to passively presented and selfgenerated tones. Our results show that the magnitude of sensory attenuation in bilateral auditory areas is significantly correlated with the modulation of beta-band (15-30 Hz) amplitude in the motor cortex. Moreover, we observed a significant directional coupling (Granger causality) in beta-band originating from the motor cortex toward bilateral auditory areas. Our findings indicate that beta-band oscillations play an important role in mediating top-down interactions between motor and auditory cortex and, in our paradigm, suppress cortical responses to predicted sensory input. K E Y W O R D Sauditory perception, beta-band oscillation, MEG, motor-auditory interactions, prediction, sensory attenuation

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Section: Methodsmentioning

confidence: 99%

Beta‐band oscillations play an essential role in motor–auditory interactions

Abbasi

Groß

2019

Human Brain Mapping

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“…To further eliminate cardiac and ocular artifacts, an independent component analysis was computed. Mutual information was calculated between the resulting components and the EOG and ECG channels [ 32 , 33 ]. Components were sorted according to their level of mutual information and subsequently visually examined regarding their topography and time course.…”

Section: Methodsmentioning

confidence: 99%

Beta Peak Frequencies at Rest Correlate with Endogenous GABA+/Cr Concentrations in Sensorimotor Cortex Areas

et al. 2016

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Neuronal oscillatory activity in the beta band (15–30 Hz) is a prominent signal within the human sensorimotor cortex. Computational modeling and pharmacological modulation studies suggest an influence of GABAergic interneurons on the generation of beta band oscillations. Accordingly, studies in humans have demonstrated a correlation between GABA concentrations and power of beta band oscillations. It remains unclear, however, if GABA concentrations also influence beta peak frequencies and whether this influence is present in the sensorimotor cortex at rest and without pharmacological modulation. In the present study, we investigated the relation between endogenous GABA concentration (measured by magnetic resonance spectroscopy) and beta oscillations (measured by magnetoencephalography) at rest in humans. GABA concentrations and beta band oscillations were measured for left and right sensorimotor and occipital cortex areas. A significant positive linear correlation between GABA concentration and beta peak frequency was found for the left sensorimotor cortex, whereas no significant correlations were found for the right sensorimotor and the occipital cortex. The results show a novel connection between endogenous GABA concentration and beta peak frequency at rest. This finding supports previous results that demonstrated a connection between oscillatory beta activity and pharmacologically modulated GABA concentration in the sensorimotor cortex. Furthermore, the results demonstrate that for a predominantly right-handed sample, the correlation between beta band oscillations and endogenous GABA concentrations is evident only in the left sensorimotor cortex.

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“…In order to identify and remove DBS artefacts from the decomposed MEG data, the concept of MI as described in Liu et al (2012) and Abbasi et al (2015) was used. In both studies combining fMRI and EEG, the authors showed that it is possible to find a subset of components that jointly have maximal dependency on the heartbeat and thus, remove the cardio-ballistic artefact successfully.…”

Section: Mutual Informationmentioning

confidence: 99%

“…In order to discriminate ICs related to brain activity from ICs related to the DBS artefact, a low threshold was defined in a twostep approach (Abbasi et al, 2015).…”

Section: Threshold Selectionmentioning

confidence: 99%

“…Therefore, the initial threshold can be readily identified based on visual inspection and threshold selection will become easier with growing experience. This strategy for the initial threshold selection has been already used successfully in the recent past (Abbasi et al, 2015). Future work may investigate the applicability of more objective procedures, such as cross validation (Liu et al, 2012).…”

Section: Advantages and Limitations Of The Proposed Ica-mi-based Apprmentioning

confidence: 99%

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Rejecting deep brain stimulation artefacts from MEG data using ICA and mutual information

Abbasi

Hirschmann

Schmitz

et al. 2016

Journal of Neuroscience Methods

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Time-frequency analysis of resting state and evoked EEG data recorded at higher magnetic fields up to 9.4T

Cited by 12 publications

References 46 publications

Beta‐band oscillations play an essential role in motor–auditory interactions

Beta‐band oscillations play an essential role in motor–auditory interactions

Beta Peak Frequencies at Rest Correlate with Endogenous GABA+/Cr Concentrations in Sensorimotor Cortex Areas

Rejecting deep brain stimulation artefacts from MEG data using ICA and mutual information

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