Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"EEG/MEG"”.
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Uncovering Dynamic Semantic Networks in the Brain Using Novel Approaches for EEG/MEG Connectome Reconstruction
… reconstructed Electro-/MagnetoEncephaloGraphy (EEG/MEG) data in order to track dynamic modulations of activity and connectivity within the semantic networks while a concept unfolds in the brain. Moreover, in order to obtain more accurate connectivity estimates of the semantic networks, we …
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Development of novel multidimensional pattern-based EEG/MEG connectivity methods and their application to investigate the semantic brain network
… specificity of electro-/magnetoencephalography (EEG/MEG) data. The current thesis introduces novel multidimensional pattern-based connectivity methods for event-related EEG/MEG applications. I introduced time-lagged multidimensional pattern connectivity (TL-MDPC), nonlinear TL-MDPC (nTL-MDPC), …
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A New Eye On Semantics: Probing the Spatiotemporal Brain Dynamics Underlying Natural Reading
… good spatio-temporal resolution as recorded by EEG/MEG as well as behaviour as recorded by eye-tracking. In my multivariate pattern analysis in EEG/MEG source space data, I found that while semantic representations show some stability across tasks, even subtle task differences are associated …
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Predictive decoding of neural data
… a variety of imaging modalities that include EEG, MEG, PET, SPECT, MRI, and fMRI. This doctoral dissertation offers a methodology for the reliable analysis of neural data at different levels of investigation. By using statistical learning algorithms the proposed approach allows single-trial …
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Spatio-temporal analysis in functional brain imaging
… sources of activity from electroencephalography (EEG) and magnetoencephalography (MEG) measurements involves solving an ill-posed inverse problem, where infinitely many source distribution patterns can give rise to identical measurements. This thesis aims to improve the accuracy of source …
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Transcranial alternating current stimulation to areas associated with the human mirror neuron system reveals modulation to mu-suppression and corresponding behaviour
… was carried out in order to validate the use of EEG mu (μ) suppression as an index of human mirror neuron system (hMNS) related activity. The hMNS is characterized by neuronal activity that responds to both action observation and execution of the same movement. This activity has been directly …
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Representational dynamics across multiple timescales in human cortical networks
… first experiment, presented in Chapter 2, used EEG/MEG to track multiple component processes of selective attention. Five distinct processing operations with different time-courses were quantified, including representation of visual display properties, target location, target identity, …
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Spatiotemporal brain imaging
… imaging (fMRI) with electroencephalography (EEG) and magnetoencephalography (MEG). fMRI provides millimeter spatial resolution, while EEG and MEG provide millisecond temporal resolution. The thesis is divided into two broad sections: Monte Carlo modeling studies and experimental studies. …
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Topology matters: characteristics of functional brain networks in healthy subjects and patients with Epilepsy, Diabetes, or Amyotrophic Lateral Sclerosis during a resting-state paradigm.
… the organization of functional brain networks. EEG/MEG resting-‐state functional connectivity and functional brain networks studies attempt to characterize normal brain organization as well as deviation from it due to brain diseases. Despite the impact on the understanding of brain functioning …
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Computational Methods for the Assessment of Brain Connectivity in Visuo-Motor Integration Processes
… from non-invasive electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings. Among them, multivariate autoregressive (MVAR) models, studied in the frequency domain, allow quantitative assessment of connectivity separately for each specific brain rhythm. In spite of its …
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Electrophysiological systems underlying human domain-general cognition and selective attention
… a combination of cutting-edge techniques such as MEG/EEG, MEG-fMRI fusion, and concurrent TMS-EEG. The research aims to examine how these electrophysiological responses encode task demands across diverse cognitive domains and guide attentional control. In Chapter 2, I use MEG/EEG to investigate …
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The role of noise in brain dynamics processes
… of brain activity with imaging techniques, like EEG, MEG or fMRI, are always affected by inner, noisy mechanisms. Recently, neuroscientists put forward the idea that stochastic fluctuations of neural activity have a functional role in brain dynamics. However, this functional role has been thus …
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Blind source separation based on joint diagonalization of matrices with applications in biomedical signal processing
This thesis is concerned with the solution of the blind source separation problem (BSS). The BSS problem occurs frequently in various scientific and technical applications. In essence, it consists in separating meaningful underlying components out of a mixture of a multitude of superimposed …
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Musiikin vaikutus puheen ja äänien hermostolliseen prosessointiin alle 18 kuukauden ikäisillä vauvoilla
Tavoitteet: Tämän kandidaatintutkielman tavoitteena on ottaa selvää, millä tavoin musiikin vaikutuksia äänien ja puheen hermostolliseen käsittelyyn on tutkittu alle 18 kuukautta vanhoilla vauvoilla ja mil- laisia nämä vaikutukset ovat. Lisäksi tavoitteena on selvittää aktiivisen ja passiivisen …