Open AccessSingle‐trial analysis of oddball event‐related potentials in simultaneous EEG‐fMRI
Author(s) -
Bénar ChristianG.,
Schön Daniele,
Grimault Stephan,
Nazarian Bruno,
Burle Boris,
Roth Muriel,
Badier JeanMichel,
Marquis Patrick,
LiegeoisChauvel Catherine,
Anton JeanLuc
Publication year - 2007
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.20289
Subject(s) - electroencephalography , eeg fmri , oddball paradigm , functional magnetic resonance imaging , brain activity and meditation , event related potential , latency (audio) , psychology , brain mapping , resting state fmri , computer science , neuroscience , pattern recognition (psychology) , artificial intelligence , telecommunications
There has recently been a growing interest in the use of simultaneous electroencephalography (EEG) and functional MRI (fMRI) for evoked activity in cognitive paradigms, thereby obtaining functional datasets with both high spatial and temporal resolution. The simultaneous recording permits obtaining event‐related potentials (ERPs) and MR images in the same environment, conditions of stimulation, and subject state; it also enables tracing the joint fluctuations of EEG and fMRI signals. The goal of this study was to investigate the possibility of tracking the trial‐to‐trial changes in event‐related EEG activity, and of using this information as a parameter in fMRI analysis. We used an auditory oddball paradigm and obtained single‐trial amplitude and latency features from the EEG acquired during fMRI scanning. The single‐trial P300 latency presented significant correlation with parameters external to the EEG (target‐to‐target interval and reaction time). Moreover, we obtained significant fMRI activations for the modulation by P300 amplitude and latency, both at the single‐subject and at the group level. Our results indicate that, in line with other studies, the EEG can bring a new dimension to the field of fMRI analysis by providing fine temporal information on the fluctuations in brain activity. Hum Brain Mapp, 2007. © 2007 Wiley‐Liss, Inc.