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Marios Antonakakis
University of Münster
SynchronizationSomatosensory systemComputer scienceElectroencephalographyMagnetoencephalography
6Publications
1H-index
9Citations
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#1Marios Antonakakis (WWU: University of Münster)H-Index: 1
#2Stefan RamppH-Index: 22
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The principle of epilepsy surgery in patients with drug-resistant focal epilepsy is to localize and then to resect the epileptogenic zone. However, epilepsy surgery might not be feasible if a cortical malformation or focal cortical dysplasia (FCD), is located very close to eloquent areas of the brain. Non-invasive brain stimulation is a promising technique for modulating brain activity and may become a neurotherapeutic approach for suppressing long term epileptic seizures. In the present study, ...
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#1Vasileios S. Dimakopoulos (TUC: Technical University of Crete)
#2Marios AntonakakisH-Index: 1
Last. Carsten H. WoltersH-Index: 30
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In recent years, several approaches have been introduced for estimating the spike onset zone within the irritative zone in epilepsy diagnosis for presurgical planning. One important direction utilizes source analysis from combined electroencephalography (EEG) and magnetoencephalography (MEG), EMEG, leveraging the benefits from the complementary properties of the two modalities. For EMEG source reconstruction, an average across the annotated epileptic spikes is often used to improve the signal-to...
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#1Konstantinos Politof (TUC: Technical University of Crete)
#2Marios AntonakakisH-Index: 1
Last. Carsten H. WoltersH-Index: 30
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The primary somatosensory cortex remains one of the most investigated brain areas. However, there is still an absence of an integrated methodology to describe the early temporal alterations in the primary somatosensory network. Source analysis based on combined Electro-(EEG) and Magneto-(MEG) Encephalography (EMEG) has been recently shown to outperform the one's based on single modality EEG or MEG. The study and potential of combined EMEG form the goal of the current study, which investigates th...
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#1Marios Antonakakis (WWU: University of Münster)H-Index: 1
#2Sophie Schrader (WWU: University of Münster)H-Index: 1
Last. Carsten H. Wolters (WWU: University of Münster)H-Index: 30
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Modeling and experimental parameters influence the Electro‐ (EEG) and Magnetoencephalography (MEG) source analysis of the somatosensory P20/N20 component. In a sensitivity group study, we compare P20/N20 source analysis due to different stimulation type (Electric‐Wrist [EW], Braille‐Tactile [BT], or Pneumato‐Tactile [PT]), measurement modality (combined EEG/MEG – EMEG, EEG, or MEG) and head model (standard or individually skull‐conductivity calibrated including brain anisotropic conductivity). C...
2 CitationsSource
Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Asad Khan (WWU: University of Münster)
#2Marios Antonakakis (WWU: University of Münster)H-Index: 1
Last. Carsten H. Wolters (WWU: University of Münster)H-Index: 30
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Transcranial direct current stimulation (tDCS) is a noninvasive method that delivers current through the scalp to enhance or suppress brain activity. The standard way of applying tDCS is by the use of two large rectangular sponge electrodes on the scalp. The resulting currents often stimulate a broad region of the brain distributed over brain networks. In order to address this issue, recently, multi-electrode transcranial direct current stimulation with optimized montages has been used to stimul...
1 CitationsSource
#1Marios Antonakakis (WWU: University of Münster)H-Index: 1
Last. George Zouridakis (UH: University of Houston)H-Index: 31
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Dynamic functional connectivity (DFC) analysis has attracted interest in the last years for the characterization of brain electrophysiological activity at rest. In this work, we investigated changes in mild Traumatic Brain Injury (mTBI) patients using magnetoencephalographic (MEG) resting-state recordings and a DFC approach. The activity of several well known brain rhythms was first beamformed using linearly constrained minimum norm variance of the MEG data to determine ninety anatomical brain r...
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#2S. D. NerantzakiH-Index: 2
Last. Katerina ManiaH-Index: 13
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This study focuses on a significant issue of the environmental monitoring application area, which is the suspended sediment concentration estimation. More specifically, the purpose of the current work is to provide a new non-intrusive way to estimate the suspended sediment (SS) distribution. The proposed methodology uses the color characteristics of river flow images and provides a high correlation factor with the suspended sediment measurements. In our opinion, the importance of the current wor...
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Nov 10, 2014 in ICTAI (International Conference on Tools with Artificial Intelligence)
#1Marios Antonakakis (UoC: University of Crete)H-Index: 1
#2Michalis Zervakis (UoC: University of Crete)H-Index: 19
Last. Sifis Micheloyannis ('KCL': King's College London)
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Human brain is the most complicated network and its functional mechanism is a demanding concept in neuroscience research. Graph theory and forms an interesting tool for modeling the brain interactions and estimated brain parameters. In this paper, we consider synchronization features for modeling brain operations in electro-encephalogram (EEG) responses to kanizsa and fractal stimuli, using minimal spanning tree (MST) on a network of phase synchronization EEG channels. Graphs of phase-synchroniz...
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