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
