A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG

A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG

Cognitive tasks are commonly used to identify brain networks involved in the underlying cognitive process. However, inferring the brain networks from intracranial EEG data presents several challenges related to the sparse spatial sampling of the brain and the high variability of the EEG trace due to...

Full description

Bibliographic Details
Main Authors: Cristian Donos, Bogdan Blidarescu, Constantin Pistol, Irina Oane, Ioana Mindruta, Andrei Barborica
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroscience
Subjects:
intracranial EEG (iEEG)
brain network
searchlight analysis
multivariate pattern analysis (MVPA)
facial emotion recognition (FER)
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.946240/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.946240/full

Similar Items