Aleksij Kraljič

Aleksij Kraljič

Nov
28
2022

Nov članek na temo odstranjevanja MR artefaktov iz EEG meritev

Objavili smo nov članek v reviji Frontiers in Neuroimaging. V članku smo analizirali učinkovitost različnih pristopov za odstranjevanje artefaktov iz EEG meritev, ki so bile sočasno zajete s fMR. Statistična analiza je temeljila na hierarhičnem Bayesovem modeliranju. Članek je dostopen na spletnih straneh Frontiers in Neuroimaging.

1 min read
Nov
28
2022

New paper on the MR-induced EEG artifact reduction

A new paper from our lab was recently published in Frontiers in Neuroimaging titled "Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRI". An in-depth evaluation of the most common approaches to MR-induced EEG artifact reduction utilizing Bayesian hierarchical probabilistic modeling. The paper is

1 min read
Sep
26
2022

Tutorial: Finding and Assigning Peaks in Task-Related fMRI Analysis using Qunex

Brain activity data inferred from functional MR images (fMRI) are stored in a huge voxel space when acquired, resulting in heavy computational operations and cumbersome data analysis, if no other data reduction approaches are applied. The first common approach to data reduction is to project cortical brain activity onto a

Aleksij Kraljič

Raziskovalec, doktorski študent, tel.: +386 1 241 1174, email: aleksij.kraljic@ff.uni-lj.si

Aleksij Kraljič

Researcher, PhD Student, Phone: +386 1 241 1174, email: aleksij.kraljic@ff.uni-lj.si