Katharina Glomb

Using an ordinary differential equation model to separate rest and task signals in fMRI

Amrit Kashyap, Eloy Geenjaar, Patrik Bey, Kiret Dhindsa et autres

Abstract Cortical activity results from the interplay between network-connected regions that integrate information and stimulus-driven processes originating from sensory motor networks responding to specific tasks. Separating the information due to each of these components has been challenging, and the relationship as measured …

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Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high‐spatial resolution

Joan Rué‐Queralt, Hugo Fluhr, Sébastien Tourbier, Yasser Alemán‐Gómez et autres

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and two EEG datasets on visual-evoked potentials, we provide evidence supporting that …

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Using an Ordinary Differential Equation model to separate Rest and Task signals in fMRI

Amrit Kashyap, Eloy Geenjaar, Patrik Bey, Kiret Dhindsa et autres

Abstract Cortical activity results from the interplay between network-connected regions that integrate information and stimulus-driven processes originating from sensory motor networks responding to specific tasks. Separating the information due to each of these components has been challenging, and the relationship as measured …

de, us (code pays fourni par la source)

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study

Isotta Rigoni, Joan Rué‐Queralt, Katharina Glomb, Maria Giulia Preti et autres

Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study' Rigoni et al. 2023, Clinical Neurophysiology, doi: https://doi.org/10.1016/j.clinph.2023.05.012 Dataset description func_data.mat : source-reconstructed EEG traces stored in a Fieldtrip format (data for each …

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Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study

Isotta Rigoni, Joan Rué‐Queralt, Katharina Glomb, Maria Giulia Preti et autres

Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study' Rigoni et al. 2023, Clinical Neurophysiology, doi: https://doi.org/10.1016/j.clinph.2023.05.012 Dataset description func_data.mat : source-reconstructed EEG traces stored in a Fieldtrip format (data for each …

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Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Isotta Rigoni, Katharina Glomb, Maria Giulia Preti, Nicolas Roehri et autres

OBJECTIVE: Structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). METHODS: We decomposed IEDs of 17 patients on spatial maps, i.e. network harmonics, extracted from …

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Connectome spectrum electromagnetic tomography: a method to reconstruct electrical brain source-networks at high-spatial resolution

Joan Rué‐Queralt, Hugo Fluhr, Sébastien Tourbier, Yasser Alemán‐Gómez et autres

Connectome Spectrum Electromagnetic Tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and two EEG datasets on visual-evoked potentials, we provide evidence supporting that …

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Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping

Sébastien Tourbier, Joan Rué‐Queralt, Katharina Glomb, Yasser Alemán‐Gómez et autres

Tourbier et al., (2022). Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping. Journal of Open Source Software, 7(74), 4248, https://doi.org/10.21105/joss.04248

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A Roadmap for Computational Modelling of M/EEG

Benedetta Franceschiello, Jérémie Lefebvre, Micah M. Murray, Katharina Glomb

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The connectome spectrum as a canonical basis for a sparse representation of fast brain activity

Joan Rué‐Queralt, Katharina Glomb, David Pascucci, Sébastien Tourbier et autres

The functional organization of neural processes is constrained by the brain's intrinsic structural connectivity, i.e., the connectome. Here, we explore how structural connectivity can improve the representation of brain activity signals and their dynamics. Using a multi-modal imaging dataset (electroencephalography, structural MRI, …

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Functional harmonics reveal multi-dimensional basis functions underlying cortical organization

Katharina Glomb, Morten L. Kringelbach, Gustavo Deco, Patric Hagmann et autres

The human brain consists of specialized areas that flexibly interact to form a multitude of functional networks. Complementary to this notion of modular organization, brain function has been shown to vary along a smooth continuum across the whole cortex. We demonstrate a …

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Code and selected data for publication "Functional harmonics reveal multi-dimensional basis functions underlying cortical organization"

Katharina Glomb, Selen Atasoy

(This description is contained in the README.md in the zip repository.) Information about the code contained in this repository This repository is related to the publication "Functional harmonics reveal multi-dimensional basis functions underlying cortical organization", by K Glomb, ML Kringelbach, G Deco, …

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