This user research article summarizes the publication “Brain Activation Time-Locked to Sleep Spindles Associated With Human Cognitive Abilities”. Here, simultaneous EEG-fMRI recordings were used to understand the functional significance of interindividual differences in brain activations, time-locked to sleep spindles.
Simultaneous EEG-fMRI provides a new insight into the origin of spontaneous neuronal activity in preterm humans
This user research article summaries our publication “Arichi T, Whitehead K, Barone G, Pressler R, Padormo F, Edwards AD, Fabrizi L (2017) Localization of spontaneous bursting neuronal activity in the preterm human brain with simultaneous EEG-fMRI. eLife 6:e27814”.
EEG-assisted retrospective motion correction for fMRI (E-REMCOR) and automated implementation (aE-REMCOR)
Electroencephalography (EEG) concurrently acquired with fMRI provides high temporal resolution information about brain activity as well as subject head movement. We introduced an EEG-assisted retrospective motion correction (E-REMCOR) method that utilizes EEG data to correct for head movements in fMRI on a slice-by-slice basis and substantially improves the quality of the data. To further enhance the usability of E-REMCOR, especially for the large-scale EEG-fMRI studies, we developed an automatic and improved implementation of E-REMCOR, referred as aE-REMCOR.
Simultaneous EEG-fMRI acquisitions can offer valuable insights for the non-invasive study of human brain function. Concurrently, the benefits offered by high-field imaging have attracted considerable interest towards simultaneous EEG-fMRI at higher field strengths. Unfortunately, simultaneous acquisitions are subject to problematic interactions that can compromise data quality and subject safety. Reducing noise during acquisition is crucial to improve EEG data quality, especially at higher fields. In this article, we assessed the importance of EEG cable length and geometry on noise sensitivity, at 7T, at the level of transmission between the cap and amplifiers.
Integration of concurrent real-time fMRI and EEG data: Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback
We integrated concurrent real-time fMRI (rtfMRI) and electroencephalography (EEG) data on commercial MRI and EEG equipment. We also report a proof-of-concept experiment using simultaneous multimodal rtfMRI and EEG neurofeedback (rtfMRI-EEG-nf). With this approach participants receive information about their electrophysiological (EEG) and hemodynamic (BOLD fMRI) activity in real-time, and volitionally regulate their own brain activity.
The most prominent MR-related EEG artifacts are gradient artifacts and the ballistocardiogram. However, vibrations represent another problematic source of artifacts. Therefore, noise assessment and reduction is of special importance for EEG measurements within the MR scanner.