Artifact reduction in simultaneous EEG-fMRI: a systematic review of methods and contemporary usage

M Bullock, GD Jackson, DF Abbott - Frontiers in neurology, 2021 - frontiersin.org
Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a technique that
combines temporal (largely from EEG) and spatial (largely from fMRI) indicators of brain …

Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function

E Ebrahimzadeh, S Saharkhiz, L Rajabion… - Frontiers in Systems …, 2022 - frontiersin.org
Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have
long been used as tools to examine brain activity. Since both methods are very sensitive to …

Evaluating methods for the parsing and understanding of mathematical formulas in technical documents

EE Kostalia, EGM Petrakis… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
Technical Documents holistic understanding was always an old challenging problem for
computer scientists. The last two decades, the processing of mathematical formulas has …

EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization

M Rusiniak, H Bornfleth, JH Cho, T Wolak… - Frontiers in …, 2022 - frontiersin.org
For the analysis of simultaneous EEG-fMRI recordings, it is vital to use effective artifact
removal tools. This applies in particular to the ballistocardiogram (BCG) artifact which is …

[PDF][PDF] Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis

Z Rabiei, HM Kordy - 2024 - scholar.archive.org
Through the fusion of electroencephalogram (EEG) and functional magnetic resonance
imaging (fMRI) data, the complementary properties of both modalities can be exploited …

Statistical methods addressing certainty and uncertainty in neural representation

S Farhoodi - 2022 - search.proquest.com
Recent advances in neural recording techniques allow experimentalists to record neural
activity with higher temporal and spatial resolutions, from a large number of areas of the …

A Novel Machine Learning Approach for Classifying Resting EEG Data to Detect Possible Propensities for Executive Dysfunction

M Klaiber - Applied Medical Informatics, 2021 - ami.info.umfcluj.ro
Executive dysfunction defines the lack of ability to plan, sequence, or temporally structure
behavior, which is essential in daily life and thus drastically reduces the quality of life of …

Mathematical Formula Recognition and Automatic Detection and Translation of Algorithmic Components into Stochastic Petri Nets in Scientific Documents

EE Kostalia - 2021 - rave.ohiolink.edu
A great percentage of documents in scientific and engineering disciplines include
mathematical formulas and/or algorithms. Exploring the mathematical formulas in the …

Artefact reduction in simultaneous EEG-fMRI: improving current practice.

M Bullock, DF Abbott, G Jackson - archive.ismrm.org
EEG recorded during fMRI is subject to artefact many times greater than neuronal events of
interest, therefore, artefact removal methods are crucial for accurate EEG-fMRI studies. This …