We are excited to announce some news that will bring our conditions for use in line with current trends in fMRI. We have updated the MRI sequence conditions for our BrainAmp MR amplifiers and BrainCap MR.
The BrainCap MR has been the preferred choice for simultaneous EEG-fMRI research for more than a decade. Due to advances in fMRI technology we have made some changes to improve the user experience and data quality.
You may not be surprised to learn that we have been working on a sponge-based electrode system for simultaneous EEG-fMRI and we are delighted to announce that our R-Net MR will be available soon.
We often receive questions from researchers regarding the quality of their EEG-fMRI data or the success of artifact handling procedures. Frequently, these data related problems can be traced back to the recording settings.
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.
We are very proud that our BrainAmp MR series of amplifiers is the gold standard for combined EEG-fMRI measurements. While the BrainAmps themselves continue to be as robust and reliable as ever, we decided that the user manual was in need of an update. We are delighted to introduce two new documents to support our BrainAmp series of amplifiers.
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”.
In this work, we show the implementation of simultaneous trimodal imaging by employing the benefits of EEG, to acquire the electrophysiology of the brain, simultaneously with PET, to ascertain metabolic details, and MRI, to integrate brain function and structure. Trimodal imaging methodology is presented here for the first time, and we have carried out a pilot study to highlight its advantages.
We are able to show using EEG-fMRI that the functional connectivity of the thalamus is generally increased by sleep onset and depth, and that sleep has a differential effect on sub-divisions of the thalamus. EEG-fMRI is a vital tool to understand the impact of sleep on cortical and subcortical processing.
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.
